pax_global_header00006660000000000000000000000064147070360760014524gustar00rootroot0000000000000052 comment=5340af6746ff655a9cd7cb2b50c2fd0b35bb91d3 rspeer-python-ftfy-5340af6/000077500000000000000000000000001470703607600156435ustar00rootroot00000000000000rspeer-python-ftfy-5340af6/.github/000077500000000000000000000000001470703607600172035ustar00rootroot00000000000000rspeer-python-ftfy-5340af6/.github/workflows/000077500000000000000000000000001470703607600212405ustar00rootroot00000000000000rspeer-python-ftfy-5340af6/.github/workflows/publish.yml000066400000000000000000000051761470703607600234420ustar00rootroot00000000000000name: Publish Python distribution 📦 to PyPI on: push: tags: - "v*" jobs: build: name: Build distribution 📦 runs-on: ubuntu-latest steps: - uses: actions/checkout@v4 - name: Set up Python uses: actions/setup-python@v5 with: python-version: "3.x" - name: Install pypa/build run: >- python3 -m pip install build --user - name: Build a binary wheel and a source tarball run: python3 -m build - name: Store the distribution packages uses: actions/upload-artifact@v4 with: name: python-package-distributions path: dist/ publish-to-pypi: name: >- Publish Python distribution 📦 to PyPI if: startsWith(github.ref, 'refs/tags/') # only publish to PyPI on tag pushes needs: - build runs-on: ubuntu-latest environment: name: pypi url: https://pypi.org/p/ftfy permissions: id-token: write # IMPORTANT: mandatory for trusted publishing steps: - name: Download all the dists uses: actions/download-artifact@v4 with: name: python-package-distributions path: dist/ - name: Publish distribution 📦 to PyPI uses: pypa/gh-action-pypi-publish@release/v1 github-release: name: >- Sign the Python distribution 📦 with Sigstore and upload them to GitHub Release needs: - publish-to-pypi runs-on: ubuntu-latest permissions: contents: write # IMPORTANT: mandatory for making GitHub Releases id-token: write # IMPORTANT: mandatory for sigstore steps: - name: Download all the dists uses: actions/download-artifact@v4 with: name: python-package-distributions path: dist/ - name: Sign the dists with Sigstore uses: sigstore/gh-action-sigstore-python@v3.0.0 with: inputs: >- ./dist/*.tar.gz ./dist/*.whl - name: Create GitHub Release env: GITHUB_TOKEN: ${{ github.token }} run: >- gh release create '${{ github.ref_name }}' --repo '${{ github.repository }}' --notes "" - name: Upload artifact signatures to GitHub Release env: GITHUB_TOKEN: ${{ github.token }} # Upload to GitHub Release using the `gh` CLI. # `dist/` contains the built packages, and the # sigstore-produced signatures and certificates. run: >- gh release upload '${{ github.ref_name }}' dist/** --repo '${{ github.repository }}' rspeer-python-ftfy-5340af6/.gitignore000066400000000000000000000002001470703607600176230ustar00rootroot00000000000000*.pyc __pycache__ .coverage dist *.egg-info build _build twitterlogs .eggs .pytest_cache .tox specimens .vscode .python-version rspeer-python-ftfy-5340af6/.mailmap000066400000000000000000000004531470703607600172660ustar00rootroot00000000000000# Robyn has used different names and e-mail addresses in the course of this project. Map them all to her current name and e-mail. Robyn Speer Robyn Speer Robyn Speer rspeer-python-ftfy-5340af6/.readthedocs.yaml000066400000000000000000000011271470703607600210730ustar00rootroot00000000000000# .readthedocs.yaml # Read the Docs configuration file # See https://docs.readthedocs.io/en/stable/config-file/v2.html for details # Required version: 2 # Set the version of Python and other tools you might need build: os: ubuntu-24.04 tools: python: "3.11" commands: - asdf plugin add uv - asdf install uv latest - asdf global uv latest - uv venv - uv sync - .venv/bin/python -m sphinx -T -b html -d docs/_build/doctrees -D language=en docs $READTHEDOCS_OUTPUT/html # Build documentation in the docs/ directory with Sphinx sphinx: configuration: docs/conf.py rspeer-python-ftfy-5340af6/CHANGELOG.md000066400000000000000000000554711470703607600174700ustar00rootroot00000000000000## Version 6.3.1 (October 25, 2024) - Fixed `license` metadata field in pyproject.toml. - Removed extraneous files from the `hatchling` sdist output. ## Version 6.3.0 (October 8, 2024) - Switched packaging from poetry to uv. - Uses modern Python packaging exclusively (no setup.py). - Added support for mojibake in Windows-1257 (Baltic). - Detects mojibake for "Ãœ" in an uppercase word, such as "ZURÃœCK". - Expanded a heuristic that notices improbable punctuation. - Fixed a false positive involving two concatenated strings, one of which began with the § sign. - Rewrote `chardata.py` to be more human-readable and debuggable, instead of being full of keysmash-like character sets. ## Version 6.2.3 (August 5, 2024) - Updated PyPI metadata. ## Version 6.2.2 (August 5, 2024) - Updated Read the Docs config so that docs might build again. ## Version 6.2.1 (August 5, 2024) - Updated setup.py and tox.ini to indicate support for Python 3.8 through 3.13. - Replaced the text file used in CLI tests with a better one that tests the same issue. - Lints and auto-formatting using ruff. - Packaging and test fixes by MichaÅ‚ Górny. ## Version 6.2.0 (March 15, 2024) - Fixed a case where an en-dash and a space near other mojibake would be interpreted (probably incorrectly) as MacRoman mojibake. - Added [project.urls] metadata to pyproject.toml. - README contains license clarifications for entitled jerks. ## Version 6.1.3 (November 21, 2023) - Updated wcwidth. - Switched to the Apache 2.0 license. - Dropped support for Python 3.7. ## Version 6.1.2 (February 17, 2022) - Added type information for `guess_bytes`. ## Version 6.1.1 (February 9, 2022) - Updated the heuristic to fix the letter ß in UTF-8/MacRoman mojibake, which had regressed since version 5.6. - Packaging fixes to pyproject.toml. ## Version 6.1 (February 9, 2022) - Updated the heuristic to fix the letter Ñ with more confidence. - Fixed type annotations and added py.typed. - ftfy is packaged using Poetry now, and wheels are created and uploaded to PyPI. ## Version 6.0.3 (May 14, 2021) - Allow the keyword argument `fix_entities` as a deprecated alias for `unescape_html`, raising a warning. - `ftfy.formatting` functions now disregard ANSI terminal escapes when calculating text width. ## Version 6.0.2 (May 4, 2021) This version is purely a cosmetic change, updating the maintainer's e-mail address and the project's canonical location on GitHub. ## Version 6.0.1 (April 12, 2021) - The `remove_terminal_escapes` step was accidentally not being used. This version restores it. - Specified in setup.py that ftfy 6 requires Python 3.6 or later. - Use a lighter link color when the docs are viewed in dark mode. ## Version 6.0 (April 2, 2021) - New function: `ftfy.fix_and_explain()` can describe all the transformations that happen when fixing a string. This is similar to what `ftfy.fixes.fix_encoding_and_explain()` did in previous versions, but it can fix more than the encoding. - `fix_and_explain()` and `fix_encoding_and_explain()` are now in the top-level ftfy module. - Changed the heuristic entirely. ftfy no longer needs to categorize every Unicode character, but only characters that are expected to appear in mojibake. - Because of the new heuristic, ftfy will no longer have to release a new version for every new version of Unicode. It should also run faster and use less RAM when imported. - The heuristic `ftfy.badness.is_bad(text)` can be used to determine whether there appears to be mojibake in a string. Some users were already using the old function `sequence_weirdness()` for that, but this one is actually designed for that purpose. - Instead of a pile of named keyword arguments, ftfy functions now take in a TextFixerConfig object. The keyword arguments still work, and become settings that override the defaults in TextFixerConfig. - Added support for UTF-8 mixups with Windows-1253 and Windows-1254. - Overhauled the documentation: https://ftfy.readthedocs.org ## Version 5.9 (February 10, 2021) This version is brought to you by the letter à and the number 0xC3. - Tweaked the heuristic to decode, for example, "à" as the letter "à" more often. - This combines with the non-breaking-space fixer to decode "à " as "à" as well. However, in many cases, the text " à " was intended to be " à ", preserving the space -- the underlying mojibake had two spaces after it, but the Web coalesced them into one. We detect this case based on common French and Portuguese words, and preserve the space when it appears intended. Thanks to @zehavoc for bringing to my attention how common this case is. - Updated the data file of Unicode character categories to Unicode 13, as used in Python 3.9. (No matter what version of Python you're on, ftfy uses the same data.) ## Version 5.8 (July 17, 2020) - Improved detection of UTF-8 mojibake of Greek, Cyrillic, Hebrew, and Arabic scripts. - Fixed the undeclared dependency on setuptools by removing the use of `pkg_resources`. ## Version 5.7 (February 18, 2020) - Updated the data file of Unicode character categories to Unicode 12.1, as used in Python 3.8. (No matter what version of Python you're on, ftfy uses the same data.) - Corrected an omission where short sequences involving the ACUTE ACCENT character were not being fixed. ## Version 5.6 (August 7, 2019) - The `unescape_html` function now supports all the HTML5 entities that appear in `html.entities.html5`, including those with long names such as `˝`. - Unescaping of numeric HTML entities now uses the standard library's `html.unescape`, making edge cases consistent. (The reason we don't run `html.unescape` on all text is that it's not always appropriate to apply, and can lead to false positive fixes. The text "This&NotThat" should not have "&Not" replaced by a symbol, as `html.unescape` would do.) - On top of Python's support for HTML5 entities, ftfy will also convert HTML escapes of common Latin capital letters that are (nonstandardly) written in all caps, such as `&NTILDE;` for `Ñ`. ## Version 5.5.1 (September 14, 2018) - Added Python 3.7 support. - Updated the data file of Unicode character categories to Unicode 11, as used in Python 3.7.0. (No matter what version of Python you're on, ftfy uses the same data.) ## Version 5.5 (September 6, 2018) - Recent versions have emphasized making a reasonable attempt to fix short, common mojibake sequences, such as `û`. In this version, we've expanded the heuristics to recognize these sequences in MacRoman as well as Windows-125x encodings. - A related rule for fixing isolated Windows-1252/UTF-8 mixups, even when they were inconsistent with the rest of the string, claimed to work on Latin-1/UTF-8 mixups as well, but in practice it didn't. We've made the rule more robust. - Fixed a failure when testing the CLI on Windows. - Removed the `pytest-runner` invocation from setup.py, as it created complex dependencies that would stop setup.py from working in some environments. The `pytest` command still works fine. `pytest-runner` is just too clever. ## Version 5.4.1 (June 14, 2018) - Fixed a bug in the `setup.py` metadata. This bug was causing ftfy, a package that fixes encoding mismatches, to not install in some environments due to an encoding mismatch. (We were really putting the "meta" in "metadata" here.) ## Version 5.4 (June 1, 2018) - ftfy was still too conservative about fixing short mojibake sequences, such as "août" -> "août", when the broken version contained punctuation such as curly or angle quotation marks. The new heuristic observes in some cases that, even if quotation marks are expected to appear next to letters, it is strange to have an accented capital A before the quotation mark and more letters after the quotation mark. - Provides better metadata for the new PyPI. - Switched from nosetests to pytest. ## Version 5.3 (January 25, 2018) - A heuristic has been too conservative since version 4.2, causing a regression compared to previous versions: ftfy would fail to fix mojibake of common characters such as `á` when seen in isolation. A new heuristic now makes it possible to fix more of these common cases with less evidence. ## Version 5.2 (November 27, 2017) - The command-line tool will not accept the same filename as its input and output. (Previously, this would write a zero-length file.) - The `uncurl_quotes` fixer, which replaces curly quotes with straight quotes, now also replaces MODIFIER LETTER APOSTROPHE. - Codepoints that contain two Latin characters crammed together for legacy encoding reasons are replaced by those two separate characters, even in NFC mode. We formerly did this just with ligatures such as `ï¬` and `IJ`, but now this includes the Afrikaans digraph `ʼn` and Serbian/Croatian digraphs such as `dž`. ## Version 5.1.1 and 4.4.3 (May 15, 2017) These releases fix two unrelated problems with the tests, one in each version. - v5.1.1: fixed the CLI tests (which are new in v5) so that they pass on Windows, as long as the Python output encoding is UTF-8. - v4.4.3: added the `# coding: utf-8` declaration to two files that were missing it, so that tests can run on Python 2. ## Version 5.1 (April 7, 2017) - Removed the dependency on `html5lib` by dropping support for Python 3.2. We previously used the dictionary `html5lib.constants.entities` to decode HTML entities. In Python 3.3 and later, that exact dictionary is now in the standard library as `html.entities.html5`. - Moved many test cases about how particular text should be fixed into `test_cases.json`, which may ease porting to other languages. The functionality of this version remains the same as 5.0.2 and 4.4.2. ## Version 5.0.2 and 4.4.2 (March 21, 2017) Added a `MANIFEST.in` that puts files such as the license file and this changelog inside the source distribution. ## Version 5.0.1 and 4.4.1 (March 10, 2017) Bug fix: - The `unescape_html` fixer will decode entities between `€` and `Ÿ` as what they would be in Windows-1252, even without the help of `fix_encoding`. This better matches what Web browsers do, and fixes a regression that version 4.4 introduced in an example that uses `…` as an ellipsis. ## Version 5.0 (February 17, 2017) Breaking changes: - Dropped support for Python 2. If you need Python 2 support, you should get version 4.4, which has the same features as this version. - The top-level functions require their arguments to be given as keyword arguments. Version 5.0 also now has tests for the command-line invocation of ftfy. ## Version 4.4.0 (February 17, 2017) Heuristic changes: - ftfy can now fix mojibake involving the Windows-1250 or ISO-8859-2 encodings. - The `fix_entities` fixer is now applied after `fix_encoding`. This makes more situations resolvable when both fixes are needed. - With a few exceptions for commonly-used characters such as `^`, it is now considered "weird" whenever a diacritic appears in non-combining form, such as the diaeresis character `¨`. - It is also now weird when IPA phonetic letters, besides `É™`, appear next to capital letters. - These changes to the heuristics, and others we've made in recent versions, let us lower the "cost" for fixing mojibake in some encodings, causing them to be fixed in more cases. ## Version 4.3.1 (January 12, 2017) Bug fix: - `remove_control_chars` was removing U+0D ('\r') prematurely. That's the job of `fix_line_breaks`. ## Version 4.3.0 (December 29, 2016) ftfy has gotten by for four years without dependencies on other Python libraries, but now we can spare ourselves some code and some maintenance burden by delegating certain tasks to other libraries that already solve them well. This version now depends on the `html5lib` and `wcwidth` libraries. Feature changes: - The `remove_control_chars` fixer will now remove some non-ASCII control characters as well, such as deprecated Arabic control characters and byte-order marks. Bidirectional controls are still left as is. This should have no impact on well-formed text, while cleaning up many characters that the Unicode Consortium deems "not suitable for markup" (see Unicode Technical Report #20). - The `unescape_html` fixer uses a more thorough list of HTML entities, which it imports from `html5lib`. - `ftfy.formatting` now uses `wcwidth` to compute the width that a string will occupy in a text console. Heuristic changes: - Updated the data file of Unicode character categories to Unicode 9, as used in Python 3.6.0. (No matter what version of Python you're on, ftfy uses the same data.) Pending deprecations: - The `remove_bom` option will become deprecated in 5.0, because it has been superseded by `remove_control_chars`. - ftfy 5.0 will remove the previously deprecated name `fix_text_encoding`. It was renamed to `fix_encoding` in 4.0. - ftfy 5.0 will require Python 3.2 or later, as planned. Python 2 users, please specify `ftfy < 5` in your dependencies if you haven't already. ## Version 4.2.0 (September 28, 2016) Heuristic changes: - Math symbols next to currency symbols are no longer considered 'weird' by the heuristic. This fixes a false positive where text that involved the multiplication sign and British pounds or euros (as in '5×£35') could turn into Hebrew letters. - A heuristic that used to be a bonus for certain punctuation now also gives a bonus to successfully decoding other common codepoints, such as the non-breaking space, the degree sign, and the byte order mark. - In version 4.0, we tried to "future-proof" the categorization of emoji (as a kind of symbol) to include codepoints that would likely be assigned to emoji later. The future happened, and there are even more emoji than we expected. We have expanded the range to include those emoji, too. ftfy is still mostly based on information from Unicode 8 (as Python 3.5 is), but this expanded range should include the emoji from Unicode 9 and 10. - Emoji are increasingly being modified by variation selectors and skin-tone modifiers. Those codepoints are now grouped with 'symbols' in ftfy, so they fit right in with emoji, instead of being considered 'marks' as their Unicode category would suggest. This enables fixing mojibake that involves iOS's new diverse emoji. - An old heuristic that wasn't necessary anymore considered Latin text with high-numbered codepoints to be 'weird', but this is normal in languages such as Vietnamese and Azerbaijani. This does not seem to have caused any false positives, but it caused ftfy to be too reluctant to fix some cases of broken text in those languages. The heuristic has been changed, and all languages that use Latin letters should be on even footing now. ## Version 4.1.1 (April 13, 2016) - Bug fix: in the command-line interface, the `-e` option had no effect on Python 3 when using standard input. Now, it correctly lets you specify a different encoding for standard input. ## Version 4.1.0 (February 25, 2016) Heuristic changes: - ftfy can now deal with "lossy" mojibake. If your text has been run through a strict Windows-1252 decoder, such as the one in Python, it may contain the replacement character � (U+FFFD) where there were bytes that are unassigned in Windows-1252. Although ftfy won't recover the lost information, it can now detect this situation, replace the entire lossy character with �, and decode the rest of the characters. Previous versions would be unable to fix any string that contained U+FFFD. As an example, text in curly quotes that gets corrupted `“ like this �` now gets fixed to be `“ like this �`. - Updated the data file of Unicode character categories to Unicode 8.0, as used in Python 3.5.0. (No matter what version of Python you're on, ftfy uses the same data.) - Heuristics now count characters such as `~` and `^` as punctuation instead of wacky math symbols, improving the detection of mojibake in some edge cases. New features: - A new module, `ftfy.formatting`, can be used to justify Unicode text in a monospaced terminal. It takes into account that each character can take up anywhere from 0 to 2 character cells. - Internally, the `utf-8-variants` codec was simplified and optimized. ## Version 4.0.0 (April 10, 2015) Breaking changes: - The default normalization form is now NFC, not NFKC. NFKC replaces a large number of characters with 'equivalent' characters, and some of these replacements are useful, but some are not desirable to do by default. - The `fix_text` function has some new options that perform more targeted operations that are part of NFKC normalization, such as `fix_character_width`, without requiring hitting all your text with the huge mallet that is NFKC. - If you were already using NFC normalization, or in general if you want to preserve the *spacing* of CJK text, you should be sure to set `fix_character_width=False`. - The `remove_unsafe_private_use` parameter has been removed entirely, after two versions of deprecation. The function name `fix_bad_encoding` is also gone. New features: - Fixers for strange new forms of mojibake, including particularly clear cases of mixed UTF-8 and Windows-1252. - New heuristics, so that ftfy can fix more stuff, while maintaining approximately zero false positives. - The command-line tool trusts you to know what encoding your *input* is in, and assumes UTF-8 by default. You can still tell it to guess with the `-g` option. - The command-line tool can be configured with options, and can be used as a pipe. - Recognizes characters that are new in Unicode 7.0, as well as emoji from Unicode 8.0+ that may already be in use on iOS. Deprecations: - `fix_text_encoding` is being renamed again, for conciseness and consistency. It's now simply called `fix_encoding`. The name `fix_text_encoding` is available but emits a warning. Pending deprecations: - Python 2.6 support is largely coincidental. - Python 2.7 support is on notice. If you use Python 2, be sure to pin a version of ftfy less than 5.0 in your requirements. ## Version 3.4.0 (January 15, 2015) New features: - `ftfy.fixes.fix_surrogates` will fix all 16-bit surrogate codepoints, which would otherwise break various encoding and output functions. Deprecations: - `remove_unsafe_private_use` emits a warning, and will disappear in the next minor or major version. ## Version 3.3.1 (December 12, 2014) This version restores compatibility with Python 2.6. ## Version 3.3.0 (August 16, 2014) Heuristic changes: - Certain symbols are marked as "ending punctuation" that may naturally occur after letters. When they follow an accented capital letter and look like mojibake, they will not be "fixed" without further evidence. An example is that "MARQUÉ…" will become "MARQUÉ...", and not "MARQUÉ…". New features: - `ftfy.explain_unicode` is a diagnostic function that shows you what's going on in a Unicode string. It shows you a table with each code point in hexadecimal, its glyph, its name, and its Unicode category. - `ftfy.fixes.decode_escapes` adds a feature missing from the standard library: it lets you decode a Unicode string with backslashed escape sequences in it (such as "\u2014") the same way that Python itself would. - `ftfy.streamtester` is a release of the code that I use to test ftfy on an endless stream of real-world data from Twitter. With the new heuristics, the false positive rate of ftfy is about 1 per 6 million tweets. (See the "Accuracy" section of the documentation.) Deprecations: - Python 2.6 is no longer supported. - `remove_unsafe_private_use` is no longer needed in any current version of Python. This fixer will disappear in a later version of ftfy. ## Version 3.2.0 (June 27, 2014) - `fix_line_breaks` fixes three additional characters that are considered line breaks in some environments, such as Javascript, and Python's "codecs" library. These are all now replaced with \n: U+0085 , with alias "NEXT LINE" U+2028 LINE SEPARATOR U+2029 PARAGRAPH SEPARATOR ## Version 3.1.3 (May 15, 2014) - Fix `utf-8-variants` so it never outputs surrogate codepoints, even on Python 2 where that would otherwise be possible. ## Version 3.1.2 (January 29, 2014) - Fix bug in 3.1.1 where strings with backslashes in them could never be fixed ## Version 3.1.1 (January 29, 2014) - Add the `ftfy.bad_codecs` package, which registers new codecs that can decoding things that Python may otherwise refuse to decode: - `utf-8-variants`, which decodes CESU-8 and its Java lookalike - `sloppy-windows-*`, which decodes character-map encodings while treating unmapped characters as Latin-1 - Simplify the code using `ftfy.bad_codecs`. ## Version 3.0.6 (November 5, 2013) - `fix_entities` can now be True, False, or 'auto'. The new case is True, which will decode all entities, even in text that already contains angle brackets. This may also be faster, because it doesn't have to check. - `build_data.py` will refuse to run on Python < 3.3, to prevent building an inconsistent data file. ## Version 3.0.5 (November 1, 2013) - Fix the arguments to `fix_file`, because they were totally wrong. ## Version 3.0.4 (October 1, 2013) - Restore compatibility with Python 2.6. ## Version 3.0.3 (September 9, 2013) - Fixed an ugly regular expression bug that prevented ftfy from importing on a narrow build of Python. ## Version 3.0.2 (September 4, 2013) - Fixed some false positives. - Basically, 3.0.1 was too eager to treat text as MacRoman or cp437 when three consecutive characters coincidentally decoded as UTF-8. Increased the cost of those encodings so that they have to successfully decode multiple UTF-8 characters. - See `tests/test_real_tweets.py` for the new test cases that were added as a result. ## Version 3.0.1 (August 30, 2013) - Fix bug in `fix_java_encoding` that led to only the first instance of CESU-8 badness per line being fixed - Add a fixer that removes unassigned characters that can break Python 3.3 (http://bugs.python.org/issue18183) ## Version 3.0 (August 26, 2013) - Generally runs faster - Idempotent - Simplified decoding logic - Understands more encodings and more kinds of mistakes - Takes options that enable or disable particular normalization steps - Long line handling: now the time-consuming step (`fix_text_encoding`) will be consistently skipped on long lines, but all other fixes will apply - Tested on millions of examples from Twitter, ensuring a near-zero rate of false positives ## Version 2.0.2 (June 20, 2013) - Fix breaking up of long lines, so it can't go into an infinite loop ## Version 2.0.1 (March 19, 2013) - Restored Python 2.6 support ## Version 2.0 (January 30, 2013) - Python 3 support - Use fast Python built-ins to speed up fixes - Bugfixes ## Version 1.0 (August 24, 2012) - Made into its own package with no dependencies, instead of a part of `metanl` rspeer-python-ftfy-5340af6/LICENSE.txt000066400000000000000000000010501470703607600174620ustar00rootroot00000000000000Copyright 2023 Robyn Speer Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. rspeer-python-ftfy-5340af6/MANIFEST.in000066400000000000000000000001161470703607600173770ustar00rootroot00000000000000graft tests include *.md include *.txt global-exclude __pycache__ *.py[cod] rspeer-python-ftfy-5340af6/README.md000066400000000000000000000146441470703607600171330ustar00rootroot00000000000000# ftfy: fixes text for you [![PyPI package](https://badge.fury.io/py/ftfy.svg)](https://badge.fury.io/py/ftfy) [![Docs](https://readthedocs.org/projects/ftfy/badge/?version=latest)](https://ftfy.readthedocs.org/en/latest/) ```python >>> from ftfy import fix_encoding >>> print(fix_encoding("(ง'⌣')ง")) (ง'⌣')ง ``` The full documentation of ftfy is available at [ftfy.readthedocs.org](https://ftfy.readthedocs.org). The documentation covers a lot more than this README, so here are some links into it: - [Fixing problems and getting explanations](https://ftfy.readthedocs.io/en/latest/explain.html) - [Configuring ftfy](https://ftfy.readthedocs.io/en/latest/config.html) - [Encodings ftfy can handle](https://ftfy.readthedocs.io/en/latest/encodings.html) - [“Fixer†functions](https://ftfy.readthedocs.io/en/latest/fixes.html) - [Is ftfy an encoding detector?](https://ftfy.readthedocs.io/en/latest/detect.html) - [Heuristics for detecting mojibake](https://ftfy.readthedocs.io/en/latest/heuristic.html) - [Support for “bad†encodings](https://ftfy.readthedocs.io/en/latest/bad_encodings.html) - [Command-line usage](https://ftfy.readthedocs.io/en/latest/cli.html) - [Citing ftfy](https://ftfy.readthedocs.io/en/latest/cite.html) ## Testimonials - “My life is livable again!†— [@planarrowspace](https://twitter.com/planarrowspace) - “A handy piece of magic†— [@simonw](https://twitter.com/simonw) - “Saved me a large amount of frustrating dev work†— [@iancal](https://twitter.com/iancal) - “ftfy did the right thing right away, with no faffing about. Excellent work, solving a very tricky real-world (whole-world!) problem.†— Brennan Young - “I have no idea when I’m gonna need this, but I’m definitely bookmarking it.†— [/u/ocrow](https://reddit.com/u/ocrow) ## What it does Here are some examples (found in the real world) of what ftfy can do: ftfy can fix mojibake (encoding mix-ups), by detecting patterns of characters that were clearly meant to be UTF-8 but were decoded as something else: >>> import ftfy >>> ftfy.fix_text('✆No problems') '✔ No problems' Does this sound impossible? It's really not. UTF-8 is a well-designed encoding that makes it obvious when it's being misused, and a string of mojibake usually contains all the information we need to recover the original string. ftfy can fix multiple layers of mojibake simultaneously: >>> ftfy.fix_text('The Mona Lisa doesn’t have eyebrows.') "The Mona Lisa doesn't have eyebrows." It can fix mojibake that has had "curly quotes" applied on top of it, which cannot be consistently decoded until the quotes are uncurled: >>> ftfy.fix_text("l’humanité") "l'humanité" ftfy can fix mojibake that would have included the character U+A0 (non-breaking space), but the U+A0 was turned into an ASCII space and then combined with another following space: >>> ftfy.fix_text('Ã\xa0 perturber la réflexion') 'à perturber la réflexion' >>> ftfy.fix_text('à perturber la réflexion') 'à perturber la réflexion' ftfy can also decode HTML entities that appear outside of HTML, even in cases where the entity has been incorrectly capitalized: >>> # by the HTML 5 standard, only 'PÉREZ' is acceptable >>> ftfy.fix_text('P&EACUTE;REZ') 'PÉREZ' These fixes are not applied in all cases, because ftfy has a strongly-held goal of avoiding false positives -- it should never change correctly-decoded text to something else. The following text could be encoded in Windows-1252 and decoded in UTF-8, and it would decode as 'MARQUÉ…'. However, the original text is already sensible, so it is unchanged. >>> ftfy.fix_text('IL Y MARQUÉ…') 'IL Y MARQUÉ…' ## Installing ftfy is a Python 3 package that can be installed using `pip` or `uv pip`: pip install ftfy (Or use `pip3 install ftfy` on systems where Python 2 and 3 are both globally installed and `pip` refers to Python 2.) If you use `poetry`, you can use ftfy as a dependency in the usual way (such as `poetry add ftfy`). ### Local development ftfy is developed using [uv](https://github.com/astral-sh/uv). You can build a virtual environment with its local dependencies by running `uv venv`, and test it with `uv run pytest`. ## Who maintains ftfy? I'm Robyn Speer, also known as Elia Robyn Lake. You can find my projects [on GitHub](https://github.com/rspeer) and my posts on [my own blog](https://posts.arborelia.net). ## Citing ftfy ftfy has been used as a crucial data processing step in major NLP research. It's important to give credit appropriately to everyone whose work you build on in research. This includes software, not just high-status contributions such as mathematical models. All I ask when you use ftfy for research is that you cite it. ftfy has a citable record [on Zenodo](https://zenodo.org/record/2591652). A citation of ftfy may look like this: Robyn Speer. (2019). ftfy (Version 5.5). Zenodo. http://doi.org/10.5281/zenodo.2591652 In BibTeX format, the citation is:: @misc{speer-2019-ftfy, author = {Robyn Speer}, title = {ftfy}, note = {Version 5.5}, year = 2019, howpublished = {Zenodo}, doi = {10.5281/zenodo.2591652}, url = {https://doi.org/10.5281/zenodo.2591652} } ## Important license clarifications If you do not follow ftfy's license, you do not have a license to ftfy. This sounds obvious and tautological, but there are people who think open source licenses mean that they can just do what they want, especially in the field of generative AI. It's a permissive license but you still have to follow it. The [Apache license](https://www.apache.org/licenses/LICENSE-2.0) is the only thing that gives you permission to use and copy ftfy; otherwise, all rights are reserved. If you use or distribute ftfy, you must follow the terms of the [Apache license](https://www.apache.org/licenses/LICENSE-2.0), including that you must attribute the author of ftfy (Robyn Speer) correctly. You _may not_ make a derived work of ftfy that obscures its authorship, such as by putting its code in an AI training dataset, including the code in AI training at runtime, or using a generative AI that copies code from such a dataset. At my discretion, I may notify you of a license violation, and give you a chance to either remedy it or delete all copies of ftfy in your possession. rspeer-python-ftfy-5340af6/docs/000077500000000000000000000000001470703607600165735ustar00rootroot00000000000000rspeer-python-ftfy-5340af6/docs/Makefile000066400000000000000000000151421470703607600202360ustar00rootroot00000000000000# Makefile for Sphinx documentation # # You can set these variables from the command line. 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PAPEROPT_a4 = -D latex_paper_size=a4 PAPEROPT_letter = -D latex_paper_size=letter ALLSPHINXOPTS = -d $(BUILDDIR)/doctrees $(PAPEROPT_$(PAPER)) $(SPHINXOPTS) . # the i18n builder cannot share the environment and doctrees with the others I18NSPHINXOPTS = $(PAPEROPT_$(PAPER)) $(SPHINXOPTS) . .PHONY: help clean html dirhtml singlehtml pickle json htmlhelp qthelp devhelp epub latex latexpdf text man changes linkcheck doctest gettext help: @echo "Please use \`make ' where is one of" @echo " html to make standalone HTML files" @echo " dirhtml to make HTML files named index.html in directories" @echo " singlehtml to make a single large HTML file" @echo " pickle to make pickle files" @echo " json to make JSON files" @echo " htmlhelp to make HTML files and a HTML help project" @echo " qthelp to make HTML files and a qthelp project" @echo " devhelp to make HTML files and a Devhelp project" @echo " epub to make an epub" @echo " latex to make LaTeX files, you can set PAPER=a4 or PAPER=letter" @echo " latexpdf to make LaTeX files and run them through pdflatex" @echo " latexpdfja to make LaTeX files and run them through platex/dvipdfmx" @echo " text to make text files" @echo " man to make manual pages" @echo " texinfo to make Texinfo files" @echo " info to make Texinfo files and run them through makeinfo" @echo " gettext to make PO message catalogs" @echo " changes to make an overview of all changed/added/deprecated items" @echo " xml to make Docutils-native XML files" @echo " pseudoxml to make pseudoxml-XML files for display purposes" @echo " linkcheck to check all external links for integrity" @echo " doctest to run all doctests embedded in the documentation (if enabled)" clean: rm -rf $(BUILDDIR)/* html: $(SPHINXBUILD) -b html $(ALLSPHINXOPTS) $(BUILDDIR)/html @echo @echo "Build finished. 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The message catalogs are in $(BUILDDIR)/locale." changes: $(SPHINXBUILD) -b changes $(ALLSPHINXOPTS) $(BUILDDIR)/changes @echo @echo "The overview file is in $(BUILDDIR)/changes." linkcheck: $(SPHINXBUILD) -b linkcheck $(ALLSPHINXOPTS) $(BUILDDIR)/linkcheck @echo @echo "Link check complete; look for any errors in the above output " \ "or in $(BUILDDIR)/linkcheck/output.txt." doctest: $(SPHINXBUILD) -b doctest $(ALLSPHINXOPTS) $(BUILDDIR)/doctest @echo "Testing of doctests in the sources finished, look at the " \ "results in $(BUILDDIR)/doctest/output.txt." xml: $(SPHINXBUILD) -b xml $(ALLSPHINXOPTS) $(BUILDDIR)/xml @echo @echo "Build finished. The XML files are in $(BUILDDIR)/xml." pseudoxml: $(SPHINXBUILD) -b pseudoxml $(ALLSPHINXOPTS) $(BUILDDIR)/pseudoxml @echo @echo "Build finished. The pseudo-XML files are in $(BUILDDIR)/pseudoxml." rspeer-python-ftfy-5340af6/docs/_static/000077500000000000000000000000001470703607600202215ustar00rootroot00000000000000rspeer-python-ftfy-5340af6/docs/_static/css/000077500000000000000000000000001470703607600210115ustar00rootroot00000000000000rspeer-python-ftfy-5340af6/docs/_static/css/custom.css000066400000000000000000000002301470703607600230300ustar00rootroot00000000000000@import url('https://fonts.googleapis.com/css2?family=Inconsolata:wght@400;700&family=Source+Sans+Pro:ital,wght@0,400;0,700;1,400;1,700&display=swap'); rspeer-python-ftfy-5340af6/docs/avoid.rst000066400000000000000000000147001470703607600204310ustar00rootroot00000000000000How can I avoid producing mojibake? =================================== Read the Python Unicode HOWTO ----------------------------- The `Python Unicode HOWTO`_ is a useful introduction to how to use Unicode correctly in Python. If you find yourself confused about the difference between bytes and characters, or you need to unlearn bad habits from Python 2, it's a great place to start. .. _`Python Unicode HOWTO`: https://docs.python.org/3/howto/unicode.html Assume UTF-8 ------------ **Assume text is in UTF-8** unless you have a specific reason to believe it isn't. In the 2020s, `UTF-8 is everywhere`_, especially in text meant to be transferred over the Internet. Most mojibake comes from decoding correct UTF-8 as if it were some other encoding. .. _`UTF-8 is everywhere`: http://utf8everywhere.org/ In Python 3, you should use the Unicode string type (`str`) for all operations. You should open text files in UTF-8:: openfile = open(filename, encoding='utf-8', errors='replace') When you are specifically working with bytes and you need to turn them into text, you should decode them as UTF-8:: text = bytebuffer.decode('utf-8', 'replace') The exceptions, the cases where you're not using UTF-8, are few but relevant. If you're interacting with C APIs, you'll need to represent your text as bytes in the format the API expects. Windows APIs in particular expect UTF-16. We're mostly past the dark days when encodings were "character maps" of 256 possible characters, one byte per character. An unfortunate thing that keeps them alive is Microsoft Excel, whose "Export" feature will pick a 256-character encoding *based on your computer's operating system and default language*. So: Don't export CSVs from Excel ---------------------------- I know that I'm telling you not to do something that may seem like a requirement of doing your job. But **don't export CSV files from Excel** if you have any other choice. Though Excel CSVs look right on basic ASCII characters, on any other text, it either won't work or won't do what you want. Excel CSVs aren't even interoperable between different computers. My recommendation is to use Google Sheets to create CSVs, and keep Excel files in .xlsx format so the Unicode won't be mangled. If you must export a CSV-like file from Excel, you can find an option to tell Excel to export in "Unicode Text", and it will create a tab-separated UTF-16 file. This is not a very widely-used format, but at least it's not mojibake. You can follow these `unwieldy directions from a SalesForce help article`_ to use Excel and Notepad to create a UTF-8 CSV. You can see why I don't recommend this process. .. _`unwieldy directions from a SalesForce help article`: https://help.salesforce.com/articleView?id=000324657&type=1&mode=1 Don't use chardet ----------------- Encoding detection on raw bytes is not a good idea. It was important in the '90s, during the rough transition to Unicode -- and the most popular way of doing it, ``chardet``, hasn't changed since the '90s. A heuristic designed before there was multilingual social media, before there were emoji, is not going to work correctly in the 2020s. When chardet sees the *correct* UTF-8 encoding of an emoji, it will have no idea what it's looking at, because it won't match anything in its training data. Often, it will guess that it's Turkish encoded in Windows-1254. On other reasonable text, it will guess the "iso-8859-2" encoding, an encoding that you'd very rarely see used intentionally. Because the problem is inherent to the design of chardet, it's not easily fixed. chardet was built on the assumption that "encoding detection is language detection", which is no longer true. Web sites now contain text in multiple languages, and for the most part they use UTF-8 regardless of the language. I've strengthened my recommendation from "don't trust chardet's output" to "don't use chardet", because there's no realistic way to use chardet without trusting its output. We've reached a situation where major Python packages such as ``requests`` assume that chardet is correct, and yet the changing nature of text means that chardet is more wrong with each passing year. So how should you interpret raw bytes of text if you're not told what encoding they're in? As UTF-8. Text is UTF-8 until proven otherwise. ASCII isn't extended -------------------- A sign that something is about to go wrong with encodings is if a developer is talking about "extended ASCII". ASCII is a set of 128 character codes (95 of them displayable). It has not had any new characters added to it since the backslash was added in 1967. Because ASCII is a 7-bit encoding but our computers use 8-bit bytes, it seems clear that ASCII *could* be extended to assign a meaning to all 256 possible bytes. There are many different encodings that have done so, and they're all incompatible with one another, which is why treating bytes as characters as a bad idea and why we have Unicode now. Many developers refer to one of these encodings as "extended ASCII", whose colloquial meaning is "the encoding of 256 characters that I learned first". Its meaning is completely dependent on the country you were in and the operating system you were using when you started programming: - My "extended ASCII" when I learned to program was IBM codepage 437, the one that was used in US versions of MS-DOS. - To many people, "extended ASCII" is Windows codepage 1252, which they'd find in the Character Map of their Windows 9x computer, at least if they were in North America or Western Europe. - To others in other countries, it could be a different Windows codepage, such as 1251 (which contains Cyrillic letters) or 1250 (which contains a different set of accented letters for Eastern European languages). - Or it might be Latin-1, the common name for the ISO-8859-1 standard that became the first 256 characters of Unicode. Latin-1 is easy to implement by accident, such as when you see byte C2 and assume it means Unicode codepoint U+00C2 -- what you get by incorrectly running `chr()` on each byte. "Extended ASCII" doesn't specify which encoding you mean, and often indicates that you don't realize that different people are thinking of different sets of 256 characters. Instead of "extended ASCII", say the name of the encoding such as "Latin-1", "Windows-1252", "Windows-1250", "codepage 437", or maybe "I don't know what it is but it looks right on my machine". And then revise things so that you use UTF-8, which is still a superset of ASCII but can represent every Unicode character. rspeer-python-ftfy-5340af6/docs/bad_encodings.rst000066400000000000000000000003731470703607600221070ustar00rootroot00000000000000Support for "bad" encodings =========================== .. automodule:: ftfy.bad_codecs "Sloppy" encodings ------------------ .. automodule:: ftfy.bad_codecs.sloppy Variants of UTF-8 ----------------- .. automodule:: ftfy.bad_codecs.utf8_variants rspeer-python-ftfy-5340af6/docs/cite.rst000066400000000000000000000016571470703607600202620ustar00rootroot00000000000000.. _cite: Citing ftfy =========== ftfy has been used as a data processing step in major NLP research, including OpenAI's original GPT. It's important to give credit appropriately to everyone whose work you build on in research. This includes software, not just high-status contributions such as mathematical models. All I ask when you use ftfy for research is that you cite it. ftfy has a citable record on `Zenodo`_. A citation of ftfy may look like this: Robyn Speer. (2019). ftfy (Version 5.5). Zenodo. http://doi.org/10.5281/zenodo.2591652 In BibTeX format, the citation is:: @misc{speer-2019-ftfy, author = {Robyn Speer}, title = {ftfy}, note = {Version 5.5}, year = 2019, howpublished = {Zenodo}, doi = {10.5281/zenodo.2591652}, url = {https://doi.org/10.5281/zenodo.2591652} } .. _Zenodo: https://zenodo.org/record/2591652 rspeer-python-ftfy-5340af6/docs/cli.rst000066400000000000000000000026721470703607600201030ustar00rootroot00000000000000Command-line usage ================== ftfy can be used from the command line. By default, it takes UTF-8 input and writes it to UTF-8 output, fixing problems in its Unicode as it goes. Here's the usage documentation for the `ftfy` command: .. code-block:: text usage: ftfy [-h] [-o OUTPUT] [-g] [-e ENCODING] [-n NORMALIZATION] [--preserve-entities] [filename] ftfy (fixes text for you), version 6.0 positional arguments: filename The file whose Unicode is to be fixed. Defaults to -, meaning standard input. optional arguments: -h, --help show this help message and exit -o OUTPUT, --output OUTPUT The file to output to. Defaults to -, meaning standard output. -g, --guess Ask ftfy to guess the encoding of your input. This is risky. Overrides -e. -e ENCODING, --encoding ENCODING The encoding of the input. Defaults to UTF-8. -n NORMALIZATION, --normalization NORMALIZATION The normalization of Unicode to apply. Defaults to NFC. Can be "none". --preserve-entities Leave HTML entities as they are. The default is to decode them, as long as no HTML tags have appeared in the file. rspeer-python-ftfy-5340af6/docs/conf.py000066400000000000000000000204651470703607600201010ustar00rootroot00000000000000# # ftfy documentation build configuration file, created by # sphinx-quickstart on Wed Aug 28 03:18:27 2013. # # This file is execfile()d with the current directory set to its containing dir. # # Note that not all possible configuration values are present in this # autogenerated file. # # All configuration values have a default; values that are commented out # serve to show the default. # If extensions (or modules to document with autodoc) are in another directory, # add these directories to sys.path here. If the directory is relative to the # documentation root, use os.path.abspath to make it absolute, like shown here. # sys.path.insert(0, os.path.abspath('.')) # -- General configuration ----------------------------------------------------- # If your documentation needs a minimal Sphinx version, state it here. # needs_sphinx = '1.0' # Add any Sphinx extension module names here, as strings. They can be extensions # coming with Sphinx (named 'sphinx.ext.*') or your custom ones. extensions = ["sphinx.ext.autodoc", "sphinx.ext.viewcode"] # Add any paths that contain templates here, relative to this directory. templates_path = ["_templates"] # The suffix of source filenames. source_suffix = ".rst" # The encoding of source files. # source_encoding = 'utf-8-sig' # The master toctree document. master_doc = "index" # General information about the project. project = "ftfy" copyright = "2024, Robyn Speer" # The version info for the project you're documenting, acts as replacement for # |version| and |release|, also used in various other places throughout the # built documents. # # The short X.Y version. version = "6.3" # The full version, including alpha/beta/rc tags. release = "6.3.1" # The language for content autogenerated by Sphinx. Refer to documentation # for a list of supported languages. # language = None # There are two options for replacing |today|: either, you set today to some # non-false value, then it is used: # today = '' # Else, today_fmt is used as the format for a strftime call. # today_fmt = '%B %d, %Y' # List of patterns, relative to source directory, that match files and # directories to ignore when looking for source files. exclude_patterns = ["_build"] # The reST default role (used for this markup: `text`) to use for all documents. default_role = "code" # If true, '()' will be appended to :func: etc. cross-reference text. # add_function_parentheses = True # If true, the current module name will be prepended to all description # unit titles (such as .. function::). # add_module_names = True # If true, sectionauthor and moduleauthor directives will be shown in the # output. They are ignored by default. # show_authors = False # The name of the Pygments (syntax highlighting) style to use. pygments_style = "default" pygments_dark_style = "monokai" # A list of ignored prefixes for module index sorting. # modindex_common_prefix = [] # If true, keep warnings as "system message" paragraphs in the built documents. # keep_warnings = False # -- Options for HTML output --------------------------------------------------- # The theme to use for HTML and HTML Help pages. See the documentation for # a list of builtin themes. html_theme = "furo" # Theme options are theme-specific and customize the look and feel of a theme # further. For a list of options available for each theme, see the # documentation. html_theme_options = { "light_css_variables": { "color-brand-primary": "#7C4DFF", "color-brand-content": "#7C4DFF", "font-stack": "Source Sans Pro, sans-serif", "font-stack--monospace": "Inconsolata", "code-font-size": "18px", # I don't know why furo wants inline code to be so small, but don't let it "font-size--small--2": "100%", }, "dark_css_variables": { "color-brand-primary": "#AC8DFF", "color-brand-content": "#AC8DFF", "font-stack": "Source Sans Pro, sans-serif", "font-stack--monospace": "Inconsolata", "code-font-size": "18px", "font-size--small--2": "100%", }, } html_css_files = [ "css/custom.css", ] # Add any paths that contain custom themes here, relative to this directory. # html_theme_path = [] # The name for this set of Sphinx documents. If None, it defaults to # " v documentation". html_title = "ftfy: fixes text for you" # A shorter title for the navigation bar. Default is the same as html_title. html_short_title = "ftfy" # The name of an image file (relative to this directory) to place at the top # of the sidebar. # html_logo = None # The name of an image file (within the static path) to use as favicon of the # docs. This file should be a Windows icon file (.ico) being 16x16 or 32x32 # pixels large. # html_favicon = None # Add any paths that contain custom static files (such as style sheets) here, # relative to this directory. They are copied after the builtin static files, # so a file named "default.css" will overwrite the builtin "default.css". html_static_path = ["_static"] # If not '', a 'Last updated on:' timestamp is inserted at every page bottom, # using the given strftime format. html_last_updated_fmt = "%b %d, %Y" # If true, SmartyPants will be used to convert quotes and dashes to # typographically correct entities. # html_use_smartypants = True # Custom sidebar templates, maps document names to template names. # html_sidebars = {} # Additional templates that should be rendered to pages, maps page names to # template names. # html_additional_pages = {} # If false, no module index is generated. # html_domain_indices = True # If false, no index is generated. # html_use_index = True # If true, the index is split into individual pages for each letter. # html_split_index = False # If true, links to the reST sources are added to the pages. html_show_sourcelink = False # If true, "Created using Sphinx" is shown in the HTML footer. Default is True. # html_show_sphinx = True # If true, "(C) Copyright ..." is shown in the HTML footer. Default is True. # html_show_copyright = True # If true, an OpenSearch description file will be output, and all pages will # contain a tag referring to it. The value of this option must be the # base URL from which the finished HTML is served. # html_use_opensearch = '' # This is the file name suffix for HTML files (e.g. ".xhtml"). # html_file_suffix = None # Output file base name for HTML help builder. htmlhelp_basename = "ftfydoc" # -- Options for LaTeX output -------------------------------------------------- latex_elements = { # The paper size ('letterpaper' or 'a4paper'). # 'papersize': 'letterpaper', # The font size ('10pt', '11pt' or '12pt'). # 'pointsize': '10pt', # Additional stuff for the LaTeX preamble. # 'preamble': '', } # Grouping the document tree into LaTeX files. List of tuples # (source start file, target name, title, author, documentclass [howto/manual]). latex_documents = [] # The name of an image file (relative to this directory) to place at the top of # the title page. # latex_logo = None # For "manual" documents, if this is true, then toplevel headings are parts, # not chapters. # latex_use_parts = False # If true, show page references after internal links. # latex_show_pagerefs = False # If true, show URL addresses after external links. # latex_show_urls = False # Documents to append as an appendix to all manuals. # latex_appendices = [] # If false, no module index is generated. # latex_domain_indices = True # -- Options for manual page output -------------------------------------------- # One entry per manual page. List of tuples # (source start file, name, description, authors, manual section). man_pages = [("index", "ftfy", "ftfy Documentation", ["Robyn Speer"], 1)] # If true, show URL addresses after external links. # man_show_urls = False # -- Options for Texinfo output ------------------------------------------------ # Grouping the document tree into Texinfo files. List of tuples # (source start file, target name, title, author, # dir menu entry, description, category) texinfo_documents = [] # Documents to append as an appendix to all manuals. # texinfo_appendices = [] # If false, no module index is generated. # texinfo_domain_indices = True # How to display URL addresses: 'footnote', 'no', or 'inline'. # texinfo_show_urls = 'footnote' # If true, do not generate a @detailmenu in the "Top" node's menu. # texinfo_no_detailmenu = False rspeer-python-ftfy-5340af6/docs/config.rst000066400000000000000000000040161470703607600205730ustar00rootroot00000000000000.. _config: Configuring ftfy ================ The main functions of ftfy -- :func:`ftfy.fix_text` and :func:`ftfy.fix_and_explain` -- run text through a sequence of fixes. If the text changed, it will run them through again, so that you can be sure the output ends up in a standard form that will be unchanged by ftfy. All the fixes are on by default, but you can pass in a configuration object or keyword options to turn them off. Check that the default fixes are appropriate for your use case. For example: - You should set `unescape_html` to False if the output is meant to be interpreted as HTML. - You should set `fix_character_width` to False if you want to preserve the spacing of CJK text. - You should set `uncurl_quotes` to False if you want to preserve quotation marks with nice typography. You could even consider doing the opposite of `uncurl_quotes`, running `smartypants`_ on the result to make all the punctuation typographically nice. - To be cautious and only fix mojibake when it can be fixed with a consistent sequence of encoding and decoding steps, you should set `decode_inconsistent_utf8` to False. .. _smartypants: http://pythonhosted.org/smartypants/ If the only fix you need is to detect and repair decoding errors (mojibake), use the :func:`ftfy.fix_encoding` function directly. However, note that mojibake is often entangled with other issues such as the curliness of quotation marks, so limiting the process to this step might make some mojibake unfixable. The TextFixerConfig object -------------------------- The top-level functions of ftfy take a `config` argument that is an instance of :class:`ftfy.TextFixerConfig`. If this argument is None, the configuration will use its default values. .. autoclass:: ftfy.TextFixerConfig() Keyword arguments ----------------- The top-level functions also accept keyword arguments in place of a `config` argument. Given these keyword arguments, they will pass them to the :class:`ftfy.TextFixerConfig` constructor, overriding the default values of those configuration options. rspeer-python-ftfy-5340af6/docs/detect.rst000066400000000000000000000027321470703607600206010ustar00rootroot00000000000000Is ftfy an encoding detector? ============================= No, it's a mojibake detector (and fixer). That makes its task much easier, because it doesn't have to guess the encoding of everything: it can leave correct-looking text as it is. Encoding detectors have ended up being a bad idea, and they are largely responsible for *creating* the problems that ftfy has to fix. The text that you put into ftfy should be Unicode that you've attempted to decode correctly. ftfy doesn't accept bytes as input. There is a lot of Unicode out there that has already been mangled by mojibake, even when decoded properly. That is, you might correctly interpret the text as UTF-8, and what the UTF-8 text really says is a mojibake string like "réflexion" that needs to be decoded *again*. This is when you need ftfy. I really need to guess the encoding of some bytes ------------------------------------------------- I understand. Sometimes we can't have nice things. Though it's not part of the usual operation of ftfy, ftfy *does* contain a byte-encoding-guesser that tries to be less terrible than other byte-encoding-guessers in common cases. Instead of using probabilistic heuristics, it picks up on very strong signals like "having a UTF-16 byte-order mark" or "decoding successfully as UTF-8". This function won't solve everything. It can't solve everything. In particular, it has no capacity to guess non-Unicode CJK encodings such as Shift-JIS or Big5. .. autofunction:: ftfy.guess_bytes rspeer-python-ftfy-5340af6/docs/encodings.rst000066400000000000000000000037151470703607600213040ustar00rootroot00000000000000Encodings ftfy can handle ========================= ftfy can't fix all possible mix-ups. Its goal is to cover the most common encoding mix-ups while keeping false positives to a very low rate. ftfy can understand text that was decoded as any of these single-byte encodings: - Latin-1 (ISO-8859-1) - Windows-1250 (cp1250 -- used in Microsoft products in Eastern Europe) - Windows-1251 (cp1251 -- used in Microsoft products in Russia) - Windows-1252 (cp1252 -- used in Microsoft products in Western Europe and the Americas) - Windows-1253 (cp1253 -- used in Microsoft products in Greece) - Windows-1254 (cp1254 -- used in Microsoft products in Türkiye) - Windows-1257 (cp1257 -- used in Microsoft products in Baltic countries) - ISO-8859-2 (which is not quite the same as Windows-1250) - MacRoman (used on Mac OS 9 and earlier) - cp437 (it's the "text mode" in your video card firmware) when it was actually intended to be decoded as one of these variable-length encodings: - UTF-8 - CESU-8 (a common, incorrect implementation of UTF-8) It can also understand text that was intended as Windows-1252 but decoded as Latin-1. That's the very common case where things like smart-quotes and bullets turn into single weird control characters. However, ftfy cannot understand other mixups between single-byte encodings, because it is extremely difficult to detect which mixup in particular is the one that happened. We also can't handle the legacy encodings used for Chinese, Japanese, and Korean, such as ``shift-jis`` and ``gb18030``. See `issue #34`_ for why this is so hard. I tried adding support for cp850, the cp437-workalike that supported European languages, but I couldn't find any real examples that it fixed, and it introduced some false positives. .. _`issue #34`: https://github.com/rspeer/python-ftfy/issues/34 Remember that the input to ftfy is Unicode, so it handles actual CJK *text* just fine. It just can't discover that a CJK *encoding* introduced mojibake into the text. rspeer-python-ftfy-5340af6/docs/explain.rst000066400000000000000000000063131470703607600207700ustar00rootroot00000000000000Fixing problems and getting explanations ======================================== Ode to a Shipping Label ----------------------- A `poem about mojibake`_, whose original author might be `Carlos Bueno on Facebook`_, shows a shipping label that serves as an excellent example for this section, addressed to the surname `L&AMP;ATILDE;&AMP;SUP3;PEZ`. .. _`poem about mojibake`: https://imgur.com/4J7Il0m .. _`Carlos Bueno on Facebook`: https://www.facebook.com/cmb/posts/619241744770551:0 .. image:: images/shipping-label.png :width: 600 :alt: A package addressed to a name including "L&AMP;ATILDE;&AMP;SUP3;PEZ" We can use ftfy not only to fix the text that was on the label, but to show us what happened to it (like the poem does):: >>> from ftfy import fix_and_explain, apply_plan >>> shipping_label = "L&AMP;ATILDE;&AMP;SUP3;PEZ" >>> fixed, explanation = fix_and_explain(shipping_label) >>> fixed 'LóPEZ' >>> explanation [('apply', 'unescape_html'), ('apply', 'unescape_html'), ('apply', 'unescape_html'), ('encode', 'latin-1'), ('decode', 'utf-8')] The capitalization is inconsistent because the encoding of a lowercase "ó" is in there, but everything was printed in capital letters. The explanation may even be able to be applied to different text with the same problem:: >>> label2 = "CARR&AMP;ATILDE;&AMP;COPY;" >>> apply_plan(label2, explanation) 'CARRé' Functions that fix text ----------------------- The function that you'll probably use most often is :func:`ftfy.fix_text`, which applies all the fixes it can to every line of text, and returns the fixed text. .. autofunction:: ftfy.fix_text :func:`ftfy.fix_and_explain` takes the same arguments as :func:`ftfy.fix_text`, but provides an explanation, like we saw in the first section. .. autofunction:: ftfy.fix_and_explain Unlike :func:`ftfy.fix_text`, :func:`ftfy.fix_and_explain` doesn't separate the text into lines that it fixes separately -- because it's looking for a unified explanation of what happened to the text, not a different one for each line. A more targeted function is :func:`ftfy.fix_encoding_and_explain`, which only fixes problems that can be solved by encoding and decoding the text, not other problems such as HTML entities: .. autofunction:: ftfy.fix_encoding_and_explain This function has a counterpart that returns just the fixed string, without the explanation. It still fixes the string as a whole, not line by line. .. autofunction:: ftfy.fix_encoding The return type of the `..._and_explain` functions is a kind of NamedTuple called `ExplainedText`: .. autoclass:: ftfy.ExplainedText These explanations can be re-applied to text using :func:`apply_plan`: .. autofunction:: ftfy.apply_plan Showing the characters in a string ---------------------------------- A different kind of explanation you might need is simply a breakdown of what Unicode characters a string contains. For this, ftfy provides a utility function, :func:`ftfy.explain_unicode()`. .. autofunction:: ftfy.explain_unicode A command-line utility that provides similar information, and even more detail, is lunasorcery's `utf8info`_. .. _`utf8info`: https://github.com/lunasorcery/utf8inforspeer-python-ftfy-5340af6/docs/fixes.rst000066400000000000000000000005751470703607600204520ustar00rootroot00000000000000"Fixer" functions ================= .. automodule:: ftfy.fixes :members: decode_escapes, decode_inconsistent_utf8, fix_c1_controls, fix_character_width, fix_latin_ligatures, fix_line_breaks, fix_surrogates, remove_control_chars, remove_terminal_escapes, replace_lossy_sequences, restore_byte_a0, uncurl_quotes, unescape_html rspeer-python-ftfy-5340af6/docs/heuristic.rst000066400000000000000000000027631470703607600213340ustar00rootroot00000000000000.. _heuristic: Heuristics for detecting mojibake ================================= The "badness" heuristic ----------------------- .. automodule:: ftfy.badness :members: badness, is_bad The "UTF-8 detector" heuristic ------------------------------ A more narrow heuristic is defined in ``chardata.py`` as ``UTF8_DETECTOR_RE``. This heuristic looks for specific sequences of mojibake characters that come from the decoding of common UTF-8 sequences. Text that matches this regular expression can be partially fixed by :func:`ftfy.fixes.decode_inconsistent_utf8`, even when the string as a whole doesn't decode consistently. Because of this, the expression requires that the match isn't preceded by likely UTF-8 characters -- if this were allowed, then it might pick two or three characters out of a larger mess of mojibake to decode as another character while leaving the rest untouched. This makes the problem more confusing, doesn't really solve anything, and can even pile up recursively to decode as entirely arbitrary characters. The "lossy UTF-8" heuristic ---------------------------- ``chardata.py`` also includes ``LOSSY_UTF8_RE``, which is used similarly to the "UTF-8 detector" heuristic. This regular expression matches sequences that look like they were incorrectly decoded from UTF-8, but with characters replaced by question marks or the Unicode replacement character `�`. 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The goal of ftfy is to **take in bad Unicode and output good Unicode**, for use in your Unicode-aware code. This is different from taking in non-Unicode and outputting Unicode, which is not a goal of ftfy. It also isn't designed to protect you from having to write Unicode-aware code. ftfy helps those who help themselves. Of course you're better off if your input is decoded properly and has no glitches. But you often don't have any control over your input; it's someone else's mistake, but it's your problem now. ftfy will do everything it can to fix the problem. ftfy is a heuristic that was designed (not machine-learned) by Robyn Speer. If you use ftfy in research, including pre-processing your language model data, you need to cite it: see :ref:`cite`. .. toctree:: :maxdepth: 1 explain config encodings fixes detect avoid heuristic bad_encodings cli cite Some quick examples ------------------- Here are some examples (found in the real world) of what ftfy can do: ftfy can fix mojibake (encoding mix-ups), by detecting patterns of characters that were clearly meant to be UTF-8 but were decoded as something else: >>> import ftfy >>> ftfy.fix_text('✆No problems') '✔ No problems' Does this sound impossible? It's really not. UTF-8 is a well-designed encoding that makes it obvious when it's being misused, and a string of mojibake usually contains all the information we need to recover the original string. ftfy can fix multiple layers of mojibake simultaneously: >>> ftfy.fix_text('The Mona Lisa doesn’t have eyebrows.') "The Mona Lisa doesn't have eyebrows." It can fix mojibake that has had "curly quotes" applied on top of it, which cannot be consistently decoded until the quotes are uncurled: >>> ftfy.fix_text("l’humanité") "l'humanité" ftfy can fix mojibake that would have included the character U+A0 (non-breaking space), but the U+A0 was turned into an ASCII space and then combined with another following space: >>> ftfy.fix_text('Ã\xa0 perturber la réflexion') 'à perturber la réflexion' >>> ftfy.fix_text('à perturber la réflexion') 'à perturber la réflexion' ftfy can also decode HTML entities that appear outside of HTML, even in cases where the entity has been incorrectly capitalized: >>> # by the HTML 5 standard, only 'PÉREZ' is acceptable >>> ftfy.fix_text('P&EACUTE;REZ') 'PÉREZ' These fixes are not applied in all cases, because ftfy has a strongly-held goal of avoiding false positives -- it should never change correctly-decoded text to something else. The following text could be encoded in Windows-1252 and decoded in UTF-8, and it would decode as 'MARQUÉ…'. However, the original text is already sensible, so it is unchanged. >>> ftfy.fix_text('IL Y MARQUÉ…') 'IL Y MARQUÉ…' rspeer-python-ftfy-5340af6/ftfy/000077500000000000000000000000001470703607600166135ustar00rootroot00000000000000rspeer-python-ftfy-5340af6/ftfy/__init__.py000066400000000000000000000716311470703607600207340ustar00rootroot00000000000000""" ftfy: fixes text for you This is a module for making text less broken. See the `fix_text` function for more information. """ from __future__ import annotations import unicodedata import warnings from collections.abc import Iterator from typing import ( Any, BinaryIO, Callable, Literal, NamedTuple, TextIO, cast, ) from ftfy import bad_codecs, chardata, fixes from ftfy.badness import is_bad from ftfy.formatting import display_ljust __version__ = "6.3.1" # Though this function does nothing, it lets linters know that we're using # ftfy.bad_codecs. See the docstring in `bad_codecs/__init__.py` for more. bad_codecs.ok() class ExplanationStep(NamedTuple): """ A step in an ExplainedText, explaining how to decode text. The possible actions are: - "encode": take in a string and encode it as bytes, with the given encoding - "decode": take in bytes and decode them as a string, with the given encoding - "transcode": convert bytes to bytes with a particular named function - "apply": convert str to str with a particular named function The `parameter` is the name of the encoding or function to use. If it's a function, it must appear in the FIXERS dictionary. """ action: str parameter: str def __repr__(self) -> str: """ Get the string representation of an ExplanationStep. We output the representation of the equivalent tuple, for simplicity. """ return repr(tuple(self)) class ExplainedText(NamedTuple): """ The return type from ftfy's functions that provide an "explanation" of which steps it applied to fix the text, such as :func:`fix_and_explain()`. When the 'explain' option is disabled, these functions return the same type, but the `explanation` will be None. """ text: str explanation: list[ExplanationStep] | None # Functions that can be applied using `apply_plan`. FIXERS: dict[str, Callable] = { # type: ignore[type-arg] "unescape_html": fixes.unescape_html, "remove_terminal_escapes": fixes.remove_terminal_escapes, "restore_byte_a0": fixes.restore_byte_a0, "replace_lossy_sequences": fixes.replace_lossy_sequences, "decode_inconsistent_utf8": fixes.decode_inconsistent_utf8, "fix_c1_controls": fixes.fix_c1_controls, "fix_latin_ligatures": fixes.fix_latin_ligatures, "fix_character_width": fixes.fix_character_width, "uncurl_quotes": fixes.uncurl_quotes, "fix_line_breaks": fixes.fix_line_breaks, "fix_surrogates": fixes.fix_surrogates, "remove_control_chars": fixes.remove_control_chars, } class TextFixerConfig(NamedTuple): r""" A TextFixerConfig object stores configuration options for ftfy. It's implemented as a namedtuple with defaults, so you can instantiate it by providing the values to change from their defaults as keyword arguments. For example, to disable 'unescape_html' and keep the rest of the defaults:: TextFixerConfig(unescape_html=False) Here are the options and their default values: - `unescape_html`: "auto" Configures whether to replace HTML entities such as & with the character they represent. "auto" says to do this by default, but disable it when a literal < character appears, indicating that the input is actual HTML and entities should be preserved. The value can be True, to always enable this fixer, or False, to always disable it. - `remove_terminal_escapes`: True Removes "ANSI" terminal escapes, such as for changing the color of text in a terminal window. - `fix_encoding`: True Detect mojibake and attempt to fix it by decoding the text in a different encoding standard. The following four options affect `fix_encoding` works, and do nothing if `fix_encoding` is False: - `restore_byte_a0`: True Allow a literal space (U+20) to be interpreted as a non-breaking space (U+A0) when that would make it part of a fixable mojibake string. Because spaces are very common characters, this could lead to false positives, but we try to apply it only when there's strong evidence for mojibake. Disabling `restore_byte_a0` is safer from false positives, but creates false negatives. - `replace_lossy_sequences`: True Detect mojibake that has been partially replaced by the characters '�' or '?'. If the mojibake could be decoded otherwise, replace the detected sequence with '�'. - `decode_inconsistent_utf8`: True When we see sequences that distinctly look like UTF-8 mojibake, but there's no consistent way to reinterpret the string in a new encoding, replace the mojibake with the appropriate UTF-8 characters anyway. This helps to decode strings that are concatenated from different encodings. - `fix_c1_controls`: True Replace C1 control characters (the useless characters U+80 - U+9B that come from Latin-1) with their Windows-1252 equivalents, like HTML5 does, even if the whole string doesn't decode as Latin-1. - `fix_latin_ligatures`: True Replace common Latin-alphabet ligatures, such as ``ï¬``, with the letters they're made of. - `fix_character_width`: True Replace fullwidth Latin characters and halfwidth Katakana with their more standard widths. - `uncurl_quotes`: True Replace curly quotes with straight quotes. - `fix_line_breaks`: True Replace various forms of line breaks with the standard Unix line break, ``\n``. - `fix_surrogates`: True Replace sequences of UTF-16 surrogate codepoints with the character they were meant to encode. This fixes text that was decoded with the obsolete UCS-2 standard, and allows it to support high-numbered codepoints such as emoji. - `remove_control_chars`: True Remove certain control characters that have no displayed effect on text. - `normalization`: "NFC" Choose what kind of Unicode normalization is applied. Usually, we apply NFC normalization, so that letters followed by combining characters become single combined characters. Changing this to "NFKC" applies more compatibility conversions, such as replacing the 'micro sign' with a standard Greek lowercase mu, which looks identical. However, some NFKC normalizations change the meaning of text, such as converting "10³" to "103". `normalization` can be None, to apply no normalization. - `max_decode_length`: 1_000_000 The maximum size of "segment" that ftfy will try to fix all at once. - `explain`: True Whether to compute 'explanations', lists describing what ftfy changed. When this is False, the explanation will be None, and the code that builds the explanation will be skipped, possibly saving time. Functions that accept TextFixerConfig and don't return an explanation will automatically set `explain` to False. """ unescape_html: str | bool = "auto" remove_terminal_escapes: bool = True fix_encoding: bool = True restore_byte_a0: bool = True replace_lossy_sequences: bool = True decode_inconsistent_utf8: bool = True fix_c1_controls: bool = True fix_latin_ligatures: bool = True fix_character_width: bool = True uncurl_quotes: bool = True fix_line_breaks: bool = True fix_surrogates: bool = True remove_control_chars: bool = True normalization: Literal["NFC", "NFD", "NFKC", "NFKD"] | None = "NFC" max_decode_length: int = 1000000 explain: bool = True def _config_from_kwargs( config: TextFixerConfig, kwargs: dict[str, Any] ) -> TextFixerConfig: """ Handle parameters provided as keyword arguments to ftfy's top-level functions, converting them into a TextFixerConfig. """ if "fix_entities" in kwargs: warnings.warn( "`fix_entities` has been renamed to `unescape_html`", DeprecationWarning, stacklevel=2, ) kwargs = kwargs.copy() kwargs["unescape_html"] = kwargs["fix_entities"] del kwargs["fix_entities"] config = config._replace(**kwargs) return config BYTES_ERROR_TEXT = """Hey wait, this isn't Unicode. ftfy is designed to fix problems with text. Treating bytes like they're interchangeable with Unicode text is usually something that introduces problems with text. You should first decode these bytes from the encoding you think they're in. If you're not sure what encoding they're in: - First, try to find out. 'utf-8' is a good assumption. - If the encoding is simply unknowable, try running your bytes through ftfy.guess_bytes. As the name implies, this may not always be accurate. For more information on the distinction between bytes and text, read the Python Unicode HOWTO: http://docs.python.org/3/howto/unicode.html """ def _try_fix( fixer_name: str, text: str, config: TextFixerConfig, steps: list[ExplanationStep] | None, ) -> str: """ A helper function used across several 'fixer' steps, deciding whether to apply the fix and whether to record the fix in `steps`. """ if getattr(config, fixer_name): fixer = FIXERS[fixer_name] fixed = fixer(text) if steps is not None and fixed != text: steps.append(ExplanationStep("apply", fixer_name)) return cast(str, fixed) return text def fix_text(text: str, config: TextFixerConfig | None = None, **kwargs: Any) -> str: r""" Given Unicode text as input, fix inconsistencies and glitches in it, such as mojibake (text that was decoded in the wrong encoding). Let's start with some examples: >>> fix_text('✆No problems') '✔ No problems' >>> print(fix_text("¯\\_(ã\x83\x84)_/¯")) ¯\_(ツ)_/¯ >>> fix_text('Broken text… it’s flubberiï¬c!') "Broken text... it's flubberific!" >>> fix_text('ＬＯＵＤ　ＮＯＩＳＥＳ') 'LOUD NOISES' ftfy applies a number of different fixes to the text, and can accept configuration to select which fixes to apply. The configuration takes the form of a :class:`TextFixerConfig` object, and you can see a description of the options in that class's docstring or in the full documentation at ftfy.readthedocs.org. For convenience and backward compatibility, the configuration can also take the form of keyword arguments, which will set the equivalently-named fields of the TextFixerConfig object. For example, here are two ways to fix text but skip the "uncurl_quotes" step:: fix_text(text, TextFixerConfig(uncurl_quotes=False)) fix_text(text, uncurl_quotes=False) This function fixes text in independent segments, which are usually lines of text, or arbitrarily broken up every 1 million codepoints (configurable with `config.max_decode_length`) if there aren't enough line breaks. The bound on segment lengths helps to avoid unbounded slowdowns. ftfy can also provide an 'explanation', a list of transformations it applied to the text that would fix more text like it. This function doesn't provide explanations (because there may be different fixes for different segments of text). To get an explanation, use the :func:`fix_and_explain()` function, which fixes the string in one segment and explains what it fixed. """ if config is None: config = TextFixerConfig(explain=False) config = _config_from_kwargs(config, kwargs) if isinstance(text, bytes): raise UnicodeError(BYTES_ERROR_TEXT) out = [] pos = 0 while pos < len(text): textbreak = text.find("\n", pos) + 1 if textbreak == 0: textbreak = len(text) if (textbreak - pos) > config.max_decode_length: textbreak = pos + config.max_decode_length segment = text[pos:textbreak] if config.unescape_html == "auto" and "<" in segment: config = config._replace(unescape_html=False) fixed_segment, _ = fix_and_explain(segment, config) out.append(fixed_segment) pos = textbreak return "".join(out) def fix_and_explain( text: str, config: TextFixerConfig | None = None, **kwargs: Any ) -> ExplainedText: """ Fix text as a single segment, returning the fixed text and an explanation of what was fixed. The explanation is a list of steps that can be applied with :func:`apply_plan`, or if config.explain is False, it will be None. """ if config is None: config = TextFixerConfig() if isinstance(text, bytes): raise UnicodeError(BYTES_ERROR_TEXT) config = _config_from_kwargs(config, kwargs) if config.unescape_html == "auto" and "<" in text: config = config._replace(unescape_html=False) if config.explain: steps: list[ExplanationStep] | None = [] else: # If explanations aren't desired, `steps` will be None steps = None while True: origtext = text text = _try_fix("unescape_html", text, config, steps) if config.fix_encoding: if steps is None: text = fix_encoding(text) else: text, encoding_steps = fix_encoding_and_explain(text, config) if encoding_steps is not None: steps.extend(encoding_steps) for fixer in [ "fix_c1_controls", "fix_latin_ligatures", "fix_character_width", "uncurl_quotes", "fix_line_breaks", "fix_surrogates", "remove_terminal_escapes", "remove_control_chars", ]: text = _try_fix(fixer, text, config, steps) if config.normalization is not None: fixed = unicodedata.normalize(config.normalization, text) if steps is not None and fixed != text: steps.append(ExplanationStep("normalize", config.normalization)) text = fixed if text == origtext: return ExplainedText(text, steps) def fix_encoding_and_explain( text: str, config: TextFixerConfig | None = None, **kwargs: Any ) -> ExplainedText: """ Apply the steps of ftfy that detect mojibake and fix it. Returns the fixed text and a list explaining what was fixed. This includes fixing text by encoding and decoding it in different encodings, as well as the subordinate fixes `restore_byte_a0`, `replace_lossy_sequences`, `decode_inconsistent_utf8`, and `fix_c1_controls`. Examples:: >>> fix_encoding_and_explain("só") ExplainedText(text='só', explanation=[('encode', 'latin-1'), ('decode', 'utf-8')]) >>> result = fix_encoding_and_explain("voilà le travail") >>> result.text 'voilà le travail' >>> result.explanation [('encode', 'latin-1'), ('transcode', 'restore_byte_a0'), ('decode', 'utf-8')] """ if config is None: config = TextFixerConfig() if isinstance(text, bytes): raise UnicodeError(BYTES_ERROR_TEXT) config = _config_from_kwargs(config, kwargs) if not config.fix_encoding: # A weird trivial case: we're asked to fix the encoding, but skip # fixing the encoding return ExplainedText(text, []) plan_so_far: list[ExplanationStep] = [] while True: prevtext = text text, plan = _fix_encoding_one_step_and_explain(text, config) if plan is not None: plan_so_far.extend(plan) if text == prevtext: return ExplainedText(text, plan_so_far) def _fix_encoding_one_step_and_explain( text: str, config: TextFixerConfig ) -> ExplainedText: """ Perform one step of fixing the encoding of text. """ if config is None: config = TextFixerConfig() if len(text) == 0: return ExplainedText(text, []) # The first plan is to return ASCII text unchanged, as well as text # that doesn't look like it contains mojibake if chardata.possible_encoding(text, "ascii") or not is_bad(text): return ExplainedText(text, []) # As we go through the next step, remember the possible encodings # that we encounter but don't successfully fix yet. We may need them # later. possible_1byte_encodings = [] # Suppose the text was supposed to be UTF-8, but it was decoded using # a single-byte encoding instead. When these cases can be fixed, they # are usually the correct thing to do, so try them next. for encoding in chardata.CHARMAP_ENCODINGS: if chardata.possible_encoding(text, encoding): possible_1byte_encodings.append(encoding) encoded_bytes = text.encode(encoding) encode_step = ExplanationStep("encode", encoding) transcode_steps = [] # Now, find out if it's UTF-8 (or close enough). Otherwise, # remember the encoding for later. try: decoding = "utf-8" # Check encoded_bytes for sequences that would be UTF-8, # except they have b' ' where b'\xa0' would belong. # # Don't do this in the macroman encoding, where it would match # an en dash followed by a space, leading to false positives. if ( config.restore_byte_a0 and encoding != "macroman" and chardata.ALTERED_UTF8_RE.search(encoded_bytes) ): replaced_bytes = fixes.restore_byte_a0(encoded_bytes) if replaced_bytes != encoded_bytes: transcode_steps.append( ExplanationStep("transcode", "restore_byte_a0") ) encoded_bytes = replaced_bytes # Replace sequences where information has been lost if config.replace_lossy_sequences and encoding.startswith("sloppy"): replaced_bytes = fixes.replace_lossy_sequences(encoded_bytes) if replaced_bytes != encoded_bytes: transcode_steps.append( ExplanationStep("transcode", "replace_lossy_sequences") ) encoded_bytes = replaced_bytes if 0xED in encoded_bytes or 0xC0 in encoded_bytes: decoding = "utf-8-variants" decode_step = ExplanationStep("decode", decoding) steps = [encode_step] + transcode_steps + [decode_step] fixed = encoded_bytes.decode(decoding) return ExplainedText(fixed, steps) except UnicodeDecodeError: pass # Look for a-hat-euro sequences that remain, and fix them in isolation. if config.decode_inconsistent_utf8 and chardata.UTF8_DETECTOR_RE.search(text): steps = [ExplanationStep("apply", "decode_inconsistent_utf8")] fixed = fixes.decode_inconsistent_utf8(text) if fixed != text: return ExplainedText(fixed, steps) # The next most likely case is that this is Latin-1 that was intended to # be read as Windows-1252, because those two encodings in particular are # easily confused. if "latin-1" in possible_1byte_encodings: if "windows-1252" in possible_1byte_encodings: # This text is in the intersection of Latin-1 and # Windows-1252, so it's probably legit. return ExplainedText(text, []) else: # Otherwise, it means we have characters that are in Latin-1 but # not in Windows-1252. Those are C1 control characters. Nobody # wants those. Assume they were meant to be Windows-1252. try: fixed = text.encode("latin-1").decode("windows-1252") if fixed != text: steps = [ ExplanationStep("encode", "latin-1"), ExplanationStep("decode", "windows-1252"), ] return ExplainedText(fixed, steps) except UnicodeDecodeError: pass # Fix individual characters of Latin-1 with a less satisfying explanation if config.fix_c1_controls and chardata.C1_CONTROL_RE.search(text): steps = [ExplanationStep("transcode", "fix_c1_controls")] fixed = fixes.fix_c1_controls(text) return ExplainedText(fixed, steps) # The cases that remain are mixups between two different single-byte # encodings, and not the common case of Latin-1 vs. Windows-1252. # # With the new heuristic in 6.0, it's possible that we're closer to solving # these in some cases. It would require a lot of testing and tuning, though. # For now, we leave the text unchanged in these cases. return ExplainedText(text, []) def fix_encoding( text: str, config: TextFixerConfig | None = None, **kwargs: Any ) -> str: """ Apply just the encoding-fixing steps of ftfy to this text. Returns the fixed text, discarding the explanation. >>> fix_encoding("ó") 'ó' >>> fix_encoding("&ATILDE;&SUP3;") '&ATILDE;&SUP3;' """ if config is None: config = TextFixerConfig(explain=False) config = _config_from_kwargs(config, kwargs) fixed, _explan = fix_encoding_and_explain(text, config) return fixed # Some alternate names for the main functions ftfy = fix_text def fix_text_segment( text: str, config: TextFixerConfig | None = None, **kwargs: Any ) -> str: """ Fix text as a single segment, with a consistent sequence of steps that are applied to fix the text. Discard the explanation. """ if config is None: config = TextFixerConfig(explain=False) config = _config_from_kwargs(config, kwargs) fixed, _explan = fix_and_explain(text, config) return fixed def fix_file( input_file: TextIO | BinaryIO, encoding: str | None = None, config: TextFixerConfig | None = None, **kwargs: Any, ) -> Iterator[str]: """ Fix text that is found in a file. If the file is being read as Unicode text, use that. If it's being read as bytes, then we hope an encoding was supplied. If not, unfortunately, we have to guess what encoding it is. We'll try a few common encodings, but we make no promises. See the `guess_bytes` function for how this is done. The output is a stream of fixed lines of text. """ if config is None: config = TextFixerConfig() config = _config_from_kwargs(config, kwargs) for line in input_file: if isinstance(line, bytes): if encoding is None: line, encoding = guess_bytes(line) else: line = line.decode(encoding) if config.unescape_html == "auto" and "<" in line: config = config._replace(unescape_html=False) fixed_line, _explan = fix_and_explain(line, config) yield fixed_line def guess_bytes(bstring: bytes) -> tuple[str, str]: """ NOTE: Using `guess_bytes` is not the recommended way of using ftfy. ftfy is not designed to be an encoding detector. In the unfortunate situation that you have some bytes in an unknown encoding, ftfy can guess a reasonable strategy for decoding them, by trying a few common encodings that can be distinguished from each other. Unlike the rest of ftfy, this may not be accurate, and it may *create* Unicode problems instead of solving them! The encodings we try here are: - UTF-16 with a byte order mark, because a UTF-16 byte order mark looks like nothing else - UTF-8, because it's the global standard, which has been used by a majority of the Web since 2008 - "utf-8-variants", or buggy implementations of UTF-8 - MacRoman, because Microsoft Office thinks it's still a thing, and it can be distinguished by its line breaks. (If there are no line breaks in the string, though, you're out of luck.) - "sloppy-windows-1252", the Latin-1-like encoding that is the most common single-byte encoding. """ if isinstance(bstring, str): raise UnicodeError( "This string was already decoded as Unicode. You should pass " "bytes to guess_bytes, not Unicode." ) if bstring.startswith(b"\xfe\xff") or bstring.startswith(b"\xff\xfe"): return bstring.decode("utf-16"), "utf-16" byteset = set(bstring) try: if 0xED in byteset or 0xC0 in byteset: # Byte 0xed can be used to encode a range of codepoints that # are UTF-16 surrogates. UTF-8 does not use UTF-16 surrogates, # so when we see 0xed, it's very likely we're being asked to # decode CESU-8, the variant that encodes UTF-16 surrogates # instead of the original characters themselves. # # This will occasionally trigger on standard UTF-8, as there # are some Korean characters that also use byte 0xed, but that's # not harmful because standard UTF-8 characters will decode the # same way in our 'utf-8-variants' codec. # # Byte 0xc0 is impossible because, numerically, it would only # encode characters lower than U+0040. Those already have # single-byte representations, and UTF-8 requires using the # shortest possible representation. However, Java hides the null # codepoint, U+0000, in a non-standard longer representation -- it # encodes it as 0xc0 0x80 instead of 0x00, guaranteeing that 0x00 # will never appear in the encoded bytes. # # The 'utf-8-variants' decoder can handle both of these cases, as # well as standard UTF-8, at the cost of a bit of speed. return bstring.decode("utf-8-variants"), "utf-8-variants" else: return bstring.decode("utf-8"), "utf-8" except UnicodeDecodeError: pass if 0x0D in byteset and 0x0A not in byteset: # Files that contain CR and not LF are likely to be MacRoman. return bstring.decode("macroman"), "macroman" return bstring.decode("sloppy-windows-1252"), "sloppy-windows-1252" def apply_plan(text: str, plan: list[tuple[str, str]]) -> str: """ Apply a plan for fixing the encoding of text. The plan is a list of tuples of the form (operation, arg). `operation` is one of: - `'encode'`: convert a string to bytes, using `arg` as the encoding - `'decode'`: convert bytes to a string, using `arg` as the encoding - `'transcode'`: convert bytes to bytes, using the function named `arg` - `'apply'`: convert a string to a string, using the function named `arg` The functions that can be applied by 'transcode' and 'apply' are specifically those that appear in the dictionary named `FIXERS`. They can also can be imported from the `ftfy.fixes` module. Example:: >>> mojibake = "schön" >>> text, plan = fix_and_explain(mojibake) >>> apply_plan(mojibake, plan) 'schön' """ obj = text for operation, encoding in plan: if operation == "encode": obj = obj.encode(encoding) # type: ignore elif operation == "decode": obj = obj.decode(encoding) # type: ignore elif operation in ("transcode", "apply"): if encoding in FIXERS: obj = FIXERS[encoding](obj) else: raise ValueError(f"Unknown function to apply: {encoding}") else: raise ValueError(f"Unknown plan step: {operation}") return obj def explain_unicode(text: str) -> None: """ A utility method that's useful for debugging mysterious Unicode. It breaks down a string, showing you for each codepoint its number in hexadecimal, its glyph, its category in the Unicode standard, and its name in the Unicode standard. >>> explain_unicode('(╯°□°)╯︵ â”»â”â”»') U+0028 ( [Ps] LEFT PARENTHESIS U+256F ╯ [So] BOX DRAWINGS LIGHT ARC UP AND LEFT U+00B0 ° [So] DEGREE SIGN U+25A1 â–¡ [So] WHITE SQUARE U+00B0 ° [So] DEGREE SIGN U+0029 ) [Pe] RIGHT PARENTHESIS U+256F ╯ [So] BOX DRAWINGS LIGHT ARC UP AND LEFT U+FE35 ︵ [Ps] PRESENTATION FORM FOR VERTICAL LEFT PARENTHESIS U+0020 [Zs] SPACE U+253B â”» [So] BOX DRAWINGS HEAVY UP AND HORIZONTAL U+2501 â” [So] BOX DRAWINGS HEAVY HORIZONTAL U+253B â”» [So] BOX DRAWINGS HEAVY UP AND HORIZONTAL """ for char in text: if char.isprintable(): display = char else: display = char.encode("unicode-escape").decode("ascii") print( "U+{code:04X} {display} [{category}] {name}".format( display=display_ljust(display, 7), code=ord(char), category=unicodedata.category(char), name=unicodedata.name(char, ""), ) ) rspeer-python-ftfy-5340af6/ftfy/bad_codecs/000077500000000000000000000000001470703607600206615ustar00rootroot00000000000000rspeer-python-ftfy-5340af6/ftfy/bad_codecs/__init__.py000066400000000000000000000063221470703607600227750ustar00rootroot00000000000000r""" The `ftfy.bad_codecs` module gives Python the ability to decode some common, flawed encodings. Python does not want you to be sloppy with your text. Its encoders and decoders ("codecs") follow the relevant standards whenever possible, which means that when you get text that *doesn't* follow those standards, you'll probably fail to decode it. Or you might succeed at decoding it for implementation-specific reasons, which is perhaps worse. There are some encodings out there that Python wishes didn't exist, which are widely used outside of Python: - "utf-8-variants", a family of not-quite-UTF-8 encodings, including the ever-popular CESU-8 and "Java modified UTF-8". - "Sloppy" versions of character map encodings, where bytes that don't map to anything will instead map to the Unicode character with the same number. Simply importing this module, or in fact any part of the `ftfy` package, will make these new "bad codecs" available to Python through the standard Codecs API. You never have to actually call any functions inside `ftfy.bad_codecs`. However, if you want to call something because your code checker insists on it, you can call ``ftfy.bad_codecs.ok()``. A quick example of decoding text that's encoded in CESU-8: >>> import ftfy.bad_codecs >>> print(b'\xed\xa0\xbd\xed\xb8\x8d'.decode('utf-8-variants')) 😠""" import codecs from encodings import normalize_encoding from typing import Optional _CACHE: dict[str, codecs.CodecInfo] = {} # Define some aliases for 'utf-8-variants'. All hyphens get turned into # underscores, because of `normalize_encoding`. UTF8_VAR_NAMES = ( "utf_8_variants", "utf8_variants", "utf_8_variant", "utf8_variant", "utf_8_var", "utf8_var", "cesu_8", "cesu8", "java_utf_8", "java_utf8", ) def search_function(encoding: str) -> Optional[codecs.CodecInfo]: """ Register our "bad codecs" with Python's codecs API. This involves adding a search function that takes in an encoding name, and returns a codec for that encoding if it knows one, or None if it doesn't. The encodings this will match are: - Encodings of the form 'sloppy-windows-NNNN' or 'sloppy-iso-8859-N', where the non-sloppy version is an encoding that leaves some bytes unmapped to characters. - The 'utf-8-variants' encoding, which has the several aliases seen above. """ if encoding in _CACHE: return _CACHE[encoding] norm_encoding = normalize_encoding(encoding) codec = None if norm_encoding in UTF8_VAR_NAMES: from ftfy.bad_codecs.utf8_variants import CODEC_INFO codec = CODEC_INFO elif norm_encoding.startswith("sloppy_"): from ftfy.bad_codecs.sloppy import CODECS codec = CODECS.get(norm_encoding) if codec is not None: _CACHE[encoding] = codec return codec def ok() -> None: """ A feel-good function that gives you something to call after importing this package. Why is this here? Pyflakes. Pyflakes gets upset when you import a module and appear not to use it. It doesn't know that you're using it when you use the ``unicode.encode`` and ``bytes.decode`` methods with certain encodings. """ codecs.register(search_function) rspeer-python-ftfy-5340af6/ftfy/bad_codecs/sloppy.py000066400000000000000000000152361470703607600225700ustar00rootroot00000000000000r""" `ftfy.bad_codecs.sloppy` provides character-map encodings that fill their "holes" in a messy but common way: by outputting the Unicode codepoints with the same numbers. This is incredibly ugly, and it's also in the HTML5 standard. A single-byte encoding maps each byte to a Unicode character, except that some bytes are left unmapped. In the commonly-used Windows-1252 encoding, for example, bytes 0x81 and 0x8D, among others, have no meaning. Python, wanting to preserve some sense of decorum, will handle these bytes as errors. But Windows knows that 0x81 and 0x8D are possible bytes and they're different from each other. It just hasn't defined what they are in terms of Unicode. Software that has to interoperate with Windows-1252 and Unicode -- such as all the common Web browsers -- will pick some Unicode characters for them to map to, and the characters they pick are the Unicode characters with the same numbers: U+0081 and U+008D. This is the same as what Latin-1 does, and the resulting characters tend to fall into a range of Unicode that's set aside for obsolete Latin-1 control characters anyway. These sloppy codecs let Python do the same thing, thus interoperating with other software that works this way. It defines a sloppy version of many single-byte encodings with holes. (There is no need for a sloppy version of an encoding without holes: for example, there is no such thing as sloppy-iso-8859-2 or sloppy-macroman.) The following encodings will become defined: - sloppy-windows-1250 (Central European, sort of based on ISO-8859-2) - sloppy-windows-1251 (Cyrillic) - sloppy-windows-1252 (Western European, based on Latin-1) - sloppy-windows-1253 (Greek, sort of based on ISO-8859-7) - sloppy-windows-1254 (Turkish, based on ISO-8859-9) - sloppy-windows-1255 (Hebrew, based on ISO-8859-8) - sloppy-windows-1256 (Arabic) - sloppy-windows-1257 (Baltic, based on ISO-8859-13) - sloppy-windows-1258 (Vietnamese) - sloppy-cp874 (Thai, based on ISO-8859-11) - sloppy-iso-8859-3 (Maltese and Esperanto, I guess) - sloppy-iso-8859-6 (different Arabic) - sloppy-iso-8859-7 (Greek) - sloppy-iso-8859-8 (Hebrew) - sloppy-iso-8859-11 (Thai) Aliases such as "sloppy-cp1252" for "sloppy-windows-1252" will also be defined. Five of these encodings (`sloppy-windows-1250` through `sloppy-windows-1254`) are used within ftfy. Here are some examples, using :func:`ftfy.explain_unicode` to illustrate how sloppy-windows-1252 merges Windows-1252 with Latin-1: >>> from ftfy import explain_unicode >>> some_bytes = b'\x80\x81\x82' >>> explain_unicode(some_bytes.decode('latin-1')) U+0080 \x80 [Cc] U+0081 \x81 [Cc] U+0082 \x82 [Cc] >>> explain_unicode(some_bytes.decode('windows-1252', 'replace')) U+20AC € [Sc] EURO SIGN U+FFFD � [So] REPLACEMENT CHARACTER U+201A ‚ [Ps] SINGLE LOW-9 QUOTATION MARK >>> explain_unicode(some_bytes.decode('sloppy-windows-1252')) U+20AC € [Sc] EURO SIGN U+0081 \x81 [Cc] U+201A ‚ [Ps] SINGLE LOW-9 QUOTATION MARK """ from __future__ import annotations import codecs from encodings import normalize_encoding REPLACEMENT_CHAR = "\ufffd" def make_sloppy_codec(encoding: str) -> codecs.CodecInfo: """ Take a codec name, and return a 'sloppy' version of that codec that can encode and decode the unassigned bytes in that encoding. Single-byte encodings in the standard library are defined using some boilerplate classes surrounding the functions that do the actual work, `codecs.charmap_decode` and `charmap_encode`. This function, given an encoding name, *defines* those boilerplate classes. """ # Make a bytestring of all 256 possible bytes. all_bytes = bytes(range(256)) # Get a list of what they would decode to in Latin-1. sloppy_chars = list(all_bytes.decode("latin-1")) # Get a list of what they decode to in the given encoding. Use the # replacement character for unassigned bytes. decoded_chars = all_bytes.decode(encoding, errors="replace") # Update the sloppy_chars list. Each byte that was successfully decoded # gets its decoded value in the list. The unassigned bytes are left as # they are, which gives their decoding in Latin-1. for i, char in enumerate(decoded_chars): if char != REPLACEMENT_CHAR: sloppy_chars[i] = char # For ftfy's own purposes, we're going to allow byte 1A, the "Substitute" # control code, to encode the Unicode replacement character U+FFFD. sloppy_chars[0x1A] = REPLACEMENT_CHAR # Create the data structures that tell the charmap methods how to encode # and decode in this sloppy encoding. decoding_table = "".join(sloppy_chars) encoding_table = codecs.charmap_build(decoding_table) # Now produce all the class boilerplate. Look at the Python source for # `encodings.cp1252` for comparison; this is almost exactly the same, # except I made it follow pep8. class Codec(codecs.Codec): def encode(self, input: str, errors: str | None = "strict") -> tuple[bytes, int]: return codecs.charmap_encode(input, errors, encoding_table) def decode(self, input: bytes, errors: str | None = "strict") -> tuple[str, int]: return codecs.charmap_decode(input, errors, decoding_table) # type: ignore[arg-type] class IncrementalEncoder(codecs.IncrementalEncoder): def encode(self, input: str, final: bool = False) -> bytes: return codecs.charmap_encode(input, self.errors, encoding_table)[0] class IncrementalDecoder(codecs.IncrementalDecoder): def decode(self, input: bytes, final: bool = False) -> str: # type: ignore[override] return codecs.charmap_decode(input, self.errors, decoding_table)[0] # type: ignore[arg-type] class StreamWriter(Codec, codecs.StreamWriter): pass class StreamReader(Codec, codecs.StreamReader): pass return codecs.CodecInfo( name="sloppy-" + encoding, encode=Codec().encode, decode=Codec().decode, incrementalencoder=IncrementalEncoder, incrementaldecoder=IncrementalDecoder, streamreader=StreamReader, streamwriter=StreamWriter, ) # Define a codec for each incomplete encoding. The resulting CODECS dictionary # can be used by the main module of ftfy.bad_codecs. CODECS = {} INCOMPLETE_ENCODINGS = ( [f"windows-{num}" for num in range(1250, 1259)] + [f"iso-8859-{num}" for num in (3, 6, 7, 8, 11)] + [f"cp{num}" for num in range(1250, 1259)] + ["cp874"] ) for _encoding in INCOMPLETE_ENCODINGS: _new_name = normalize_encoding("sloppy-" + _encoding) CODECS[_new_name] = make_sloppy_codec(_encoding) rspeer-python-ftfy-5340af6/ftfy/bad_codecs/utf8_variants.py000066400000000000000000000233541470703607600240370ustar00rootroot00000000000000r""" This file defines a codec called "utf-8-variants" (or "utf-8-var"), which can decode text that's been encoded with a popular non-standard version of UTF-8. This includes CESU-8, the accidental encoding made by layering UTF-8 on top of UTF-16, as well as Java's twist on CESU-8 that contains a two-byte encoding for codepoint 0. This is particularly relevant in Python 3, which provides no other way of decoding CESU-8 [1]_. The easiest way to use the codec is to simply import `ftfy.bad_codecs`: >>> import ftfy.bad_codecs >>> result = b'here comes a null! \xc0\x80'.decode('utf-8-var') >>> print(repr(result).lstrip('u')) 'here comes a null! \x00' The codec does not at all enforce "correct" CESU-8. For example, the Unicode Consortium's not-quite-standard describing CESU-8 requires that there is only one possible encoding of any character, so it does not allow mixing of valid UTF-8 and CESU-8. This codec *does* allow that, just like Python 2's UTF-8 decoder does. Characters in the Basic Multilingual Plane still have only one encoding. This codec still enforces the rule, within the BMP, that characters must appear in their shortest form. There is one exception: the sequence of bytes `0xc0 0x80`, instead of just `0x00`, may be used to encode the null character `U+0000`, like in Java. If you encode with this codec, you get legitimate UTF-8. Decoding with this codec and then re-encoding is not idempotent, although encoding and then decoding is. So this module won't produce CESU-8 for you. Look for that functionality in the sister module, "Breaks Text For You", coming approximately never. .. [1] In a pinch, you can decode CESU-8 in Python 2 using the UTF-8 codec: first decode the bytes (incorrectly), then encode them, then decode them again, using UTF-8 as the codec every time. But Python 2 is dead, so use ftfy instead. """ import codecs import re from encodings.utf_8 import ( IncrementalDecoder as UTF8IncrementalDecoder, ) from encodings.utf_8 import ( IncrementalEncoder as UTF8IncrementalEncoder, ) from typing import Callable, Optional NAME = "utf-8-variants" # This regular expression matches all possible six-byte CESU-8 sequences, # plus truncations of them at the end of the string. (If any of the # subgroups matches $, then all the subgroups after it also have to match $, # as there are no more characters to match.) CESU8_EXPR = ( b"(" b"\xed" b"([\xa0-\xaf]|$)" b"([\x80-\xbf]|$)" b"(\xed|$)" b"([\xb0-\xbf]|$)" b"([\x80-\xbf]|$)" b")" ) CESU8_RE = re.compile(CESU8_EXPR) # This expression matches isolated surrogate characters that aren't # CESU-8, which have to be handled carefully on Python 2. SURROGATE_EXPR = b"(\xed([\xa0-\xbf]|$)([\x80-\xbf]|$))" # This expression matches the Java encoding of U+0, including if it's # truncated and we need more bytes. NULL_EXPR = b"(\xc0(\x80|$))" # This regex matches cases that we need to decode differently from # standard UTF-8. SPECIAL_BYTES_RE = re.compile(b"|".join([NULL_EXPR, CESU8_EXPR, SURROGATE_EXPR])) class IncrementalDecoder(UTF8IncrementalDecoder): """ An incremental decoder that extends Python's built-in UTF-8 decoder. This encoder needs to take in bytes, possibly arriving in a stream, and output the correctly decoded text. The general strategy for doing this is to fall back on the real UTF-8 decoder whenever possible, because the real UTF-8 decoder is way optimized, but to call specialized methods we define here for the cases the real encoder isn't expecting. """ @staticmethod def _buffer_decode( # type: ignore[override] input: bytes, errors: Optional[str], final: bool ) -> tuple[str, int]: """ Decode bytes that may be arriving in a stream, following the Codecs API. `input` is the incoming sequence of bytes. `errors` tells us how to handle errors, though we delegate all error-handling cases to the real UTF-8 decoder to ensure correct behavior. `final` indicates whether this is the end of the sequence, in which case we should raise an error given incomplete input. Returns as much decoded text as possible, and the number of bytes consumed. """ # decoded_segments are the pieces of text we have decoded so far, # and position is our current position in the byte string. (Bytes # before this position have been consumed, and bytes after it have # yet to be decoded.) decoded_segments = [] position = 0 while True: # Use _buffer_decode_step to decode a segment of text. decoded, consumed = IncrementalDecoder._buffer_decode_step( input[position:], errors, final ) if consumed == 0: # Either there's nothing left to decode, or we need to wait # for more input. Either way, we're done for now. break # Append the decoded text to the list, and update our position. decoded_segments.append(decoded) position += consumed if final: # _buffer_decode_step must consume all the bytes when `final` is # true. assert position == len(input) return "".join(decoded_segments), position @staticmethod def _buffer_decode_step(input: bytes, errors: Optional[str], final: bool) -> tuple[str, int]: """ There are three possibilities for each decoding step: - Decode as much real UTF-8 as possible. - Decode a six-byte CESU-8 sequence at the current position. - Decode a Java-style null at the current position. This method figures out which step is appropriate, and does it. """ # Get a reference to the superclass method that we'll be using for # most of the real work. sup = UTF8IncrementalDecoder._buffer_decode # Find the next byte position that indicates a variant of UTF-8. match = SPECIAL_BYTES_RE.search(input) if match is None: return sup(input, errors, final) cutoff = match.start() if cutoff > 0: return sup(input[:cutoff], errors, True) # Some byte sequence that we intend to handle specially matches # at the beginning of the input. if input.startswith(b"\xc0"): if len(input) > 1: # Decode the two-byte sequence 0xc0 0x80. return "\u0000", 2 else: if final: # We hit the end of the stream. Let the superclass method # handle it. return sup(input, errors, True) else: # Wait to see another byte. return "", 0 else: # Decode a possible six-byte sequence starting with 0xed. return IncrementalDecoder._buffer_decode_surrogates(sup, input, errors, final) @staticmethod def _buffer_decode_surrogates( sup: Callable[[bytes, Optional[str], bool], tuple[str, int]], input: bytes, errors: Optional[str], final: bool, ) -> tuple[str, int]: """ When we have improperly encoded surrogates, we can still see the bits that they were meant to represent. The surrogates were meant to encode a 20-bit number, to which we add 0x10000 to get a codepoint. That 20-bit number now appears in this form: 11101101 1010abcd 10efghij 11101101 1011klmn 10opqrst The CESU8_RE above matches byte sequences of this form. Then we need to extract the bits and assemble a codepoint number from them. """ if len(input) < 6: if final: # We found 0xed near the end of the stream, and there aren't # six bytes to decode. Delegate to the superclass method to # handle it as normal UTF-8. It might be a Hangul character # or an error. return sup(input, errors, final) else: # We found a surrogate, the stream isn't over yet, and we don't # know enough of the following bytes to decode anything, so # consume zero bytes and wait. return "", 0 else: if CESU8_RE.match(input): # Given this is a CESU-8 sequence, do some math to pull out # the intended 20-bit value, and consume six bytes. codepoint = ( ((input[1] & 0x0F) << 16) + ((input[2] & 0x3F) << 10) + ((input[4] & 0x0F) << 6) + (input[5] & 0x3F) + 0x10000 ) return chr(codepoint), 6 else: # This looked like a CESU-8 sequence, but it wasn't one. # 0xed indicates the start of a three-byte sequence, so give # three bytes to the superclass to decode as usual. return sup(input[:3], errors, False) # The encoder is identical to UTF-8. IncrementalEncoder = UTF8IncrementalEncoder class StreamWriter(codecs.StreamWriter): @staticmethod def encode(input: str, errors: str = "strict") -> tuple[bytes, int]: return IncrementalEncoder(errors).encode(input, final=True), len(input) class StreamReader(codecs.StreamReader): @staticmethod def decode(input: bytes, errors: str = "strict") -> tuple[str, int]: return IncrementalDecoder(errors).decode(input, final=True), len(input) CODEC_INFO = codecs.CodecInfo( name=NAME, encode=StreamWriter.encode, decode=StreamReader.decode, incrementalencoder=IncrementalEncoder, incrementaldecoder=IncrementalDecoder, streamreader=StreamReader, streamwriter=StreamWriter, ) rspeer-python-ftfy-5340af6/ftfy/badness.py000066400000000000000000000363111470703607600206100ustar00rootroot00000000000000""" `ftfy.badness` contains a heuristic that detects likely mojibake. This heuristic signals to ftfy which segments of text need to be fixed, and also indicates when the text can stop being fixed. The design of this heuristic is that we categorize the approximately 400 Unicode characters that occur in UTF-8 mojibake, specifically the characters that come from mixing up UTF-8 with the other encodings we support. We identify sequences and contexts of these characters that are much more likely to be mojibake than intended strings, such as lowercase accented letters followed immediately by currency symbols. """ import warnings import re # There are only a few hundred characters that occur in known UTF-8 mojibake, and we can # characterize them: MOJIBAKE_CATEGORIES = { # Characters that appear in many different contexts. Sequences that contain # them are not inherently mojibake "common": ( "\N{NO-BREAK SPACE}" "\N{SOFT HYPHEN}" "\N{MIDDLE DOT}" "\N{ACUTE ACCENT}" "\N{EN DASH}" "\N{EM DASH}" "\N{HORIZONTAL BAR}" "\N{HORIZONTAL ELLIPSIS}" "\N{RIGHT SINGLE QUOTATION MARK}" ), # the C1 control character range, which have no uses outside of mojibake anymore "c1": "\x80-\x9f", # Characters that are nearly 100% used in mojibake "bad": ( "\N{BROKEN BAR}" "\N{CURRENCY SIGN}" "\N{DIAERESIS}" "\N{NOT SIGN}" "\N{MACRON}" "\N{CEDILLA}" "\N{LATIN SMALL LETTER F WITH HOOK}" "\N{MODIFIER LETTER CIRCUMFLEX ACCENT}" # it's not a modifier "\N{CARON}" "\N{BREVE}" "\N{OGONEK}" "\N{SMALL TILDE}" "\N{DAGGER}" "\N{DOUBLE DAGGER}" "\N{PER MILLE SIGN}" "\N{REVERSED NOT SIGN}" "\N{LOZENGE}" "\ufffd" # Theoretically these would appear in 'numeric' contexts, but when they # co-occur with other mojibake characters, it's not really ambiguous "\N{FEMININE ORDINAL INDICATOR}" "\N{MASCULINE ORDINAL INDICATOR}" ), # Characters used in legalese "law": ( "\N{PILCROW SIGN}" "\N{SECTION SIGN}" ), "currency": ( "\N{CENT SIGN}" "\N{POUND SIGN}" "\N{YEN SIGN}" "\N{PESETA SIGN}" "\N{EURO SIGN}" ), "start_punctuation": ( "\N{INVERTED EXCLAMATION MARK}" "\N{LEFT-POINTING DOUBLE ANGLE QUOTATION MARK}" "\N{INVERTED QUESTION MARK}" "\N{COPYRIGHT SIGN}" "\N{GREEK TONOS}" "\N{GREEK DIALYTIKA TONOS}" "\N{LEFT SINGLE QUOTATION MARK}" "\N{SINGLE LOW-9 QUOTATION MARK}" "\N{LEFT DOUBLE QUOTATION MARK}" "\N{DOUBLE LOW-9 QUOTATION MARK}" "\N{BULLET}" "\N{SINGLE LEFT-POINTING ANGLE QUOTATION MARK}" "\uf8ff" # OS-specific symbol, usually the Apple logo ), "end_punctuation": ( "\N{REGISTERED SIGN}" "\N{RIGHT-POINTING DOUBLE ANGLE QUOTATION MARK}" "\N{DOUBLE ACUTE ACCENT}" "\N{RIGHT DOUBLE QUOTATION MARK}" "\N{SINGLE RIGHT-POINTING ANGLE QUOTATION MARK}" "\N{TRADE MARK SIGN}" ), "numeric": ( "\N{SUPERSCRIPT TWO}" "\N{SUPERSCRIPT THREE}" "\N{SUPERSCRIPT ONE}" "\N{PLUS-MINUS SIGN}" "\N{VULGAR FRACTION ONE QUARTER}" "\N{VULGAR FRACTION ONE HALF}" "\N{VULGAR FRACTION THREE QUARTERS}" "\N{MULTIPLICATION SIGN}" "\N{MICRO SIGN}" "\N{DIVISION SIGN}" "\N{FRACTION SLASH}" "\N{PARTIAL DIFFERENTIAL}" "\N{INCREMENT}" "\N{N-ARY PRODUCT}" "\N{N-ARY SUMMATION}" "\N{SQUARE ROOT}" "\N{INFINITY}" "\N{INTERSECTION}" "\N{INTEGRAL}" "\N{ALMOST EQUAL TO}" "\N{NOT EQUAL TO}" "\N{IDENTICAL TO}" "\N{LESS-THAN OR EQUAL TO}" "\N{GREATER-THAN OR EQUAL TO}" "\N{NUMERO SIGN}" ), # Letters that might be used to make emoticon faces (kaomoji), and # therefore might need to appear in more improbable-looking contexts. # # These are concatenated character ranges for use in a regex. I know # they look like faces themselves. I think expressing the ranges like # this helps to illustrate why we need to be careful with these # characters. "kaomoji": ( "Ã’-Ö" "Ù-Ãœ" "ò-ö" "ø-ü" "\N{LATIN CAPITAL LETTER O WITH DOUBLE ACUTE}" "\N{LATIN CAPITAL LETTER O WITH MACRON}" "\N{LATIN CAPITAL LETTER U WITH MACRON}" "\N{LATIN CAPITAL LETTER U WITH OGONEK}" "\N{DEGREE SIGN}" ), "upper_accented": ( # LATIN CAPITAL LETTER A WITH GRAVE - LATIN CAPITAL LETTER N WITH TILDE "\xc0-\xd1" # skip capital O's and U's that could be used in kaomoji, but # include Ø because it's very common in Arabic mojibake: "\N{LATIN CAPITAL LETTER O WITH STROKE}" "\N{LATIN CAPITAL LETTER U WITH DIAERESIS}" "\N{LATIN CAPITAL LETTER Y WITH ACUTE}" "\N{LATIN CAPITAL LETTER A WITH BREVE}" "\N{LATIN CAPITAL LETTER A WITH MACRON}" "\N{LATIN CAPITAL LETTER A WITH OGONEK}" "\N{LATIN CAPITAL LETTER C WITH ACUTE}" "\N{LATIN CAPITAL LETTER C WITH CARON}" "\N{LATIN CAPITAL LETTER D WITH CARON}" "\N{LATIN CAPITAL LETTER D WITH STROKE}" "\N{LATIN CAPITAL LETTER E WITH OGONEK}" "\N{LATIN CAPITAL LETTER E WITH CARON}" "\N{LATIN CAPITAL LETTER E WITH MACRON}" "\N{LATIN CAPITAL LETTER E WITH DOT ABOVE}" "\N{LATIN CAPITAL LETTER G WITH BREVE}" "\N{LATIN CAPITAL LETTER G WITH CEDILLA}" "\N{LATIN CAPITAL LETTER I WITH DOT ABOVE}" "\N{LATIN CAPITAL LETTER I WITH MACRON}" "\N{LATIN CAPITAL LETTER K WITH CEDILLA}" "\N{LATIN CAPITAL LETTER L WITH ACUTE}" "\N{LATIN CAPITAL LETTER L WITH CARON}" "\N{LATIN CAPITAL LETTER L WITH STROKE}" "\N{LATIN CAPITAL LETTER L WITH CEDILLA}" "\N{LATIN CAPITAL LETTER N WITH ACUTE}" "\N{LATIN CAPITAL LETTER N WITH CARON}" "\N{LATIN CAPITAL LETTER N WITH CEDILLA}" "\N{LATIN CAPITAL LIGATURE OE}" "\N{LATIN CAPITAL LETTER R WITH CARON}" "\N{LATIN CAPITAL LETTER S WITH ACUTE}" "\N{LATIN CAPITAL LETTER S WITH CEDILLA}" "\N{LATIN CAPITAL LETTER S WITH CARON}" "\N{LATIN CAPITAL LETTER T WITH CEDILLA}" "\N{LATIN CAPITAL LETTER T WITH CARON}" "\N{LATIN CAPITAL LETTER U WITH RING ABOVE}" "\N{LATIN CAPITAL LETTER U WITH DOUBLE ACUTE}" "\N{LATIN CAPITAL LETTER Y WITH DIAERESIS}" "\N{LATIN CAPITAL LETTER Z WITH ACUTE}" "\N{LATIN CAPITAL LETTER Z WITH DOT ABOVE}" "\N{LATIN CAPITAL LETTER Z WITH CARON}" "\N{CYRILLIC CAPITAL LETTER GHE WITH UPTURN}" ), "lower_accented": ( "\N{LATIN SMALL LETTER SHARP S}" # LATIN SMALL LETTER A WITH GRAVE - LATIN SMALL LETTER N WITH TILDE "\xe0-\xf1" # skip o's and u's that could be used in kaomoji "\N{LATIN SMALL LETTER A WITH BREVE}" "\N{LATIN SMALL LETTER A WITH OGONEK}" "\N{LATIN SMALL LETTER A WITH MACRON}" "\N{LATIN SMALL LETTER C WITH ACUTE}" "\N{LATIN SMALL LETTER C WITH CARON}" "\N{LATIN SMALL LETTER D WITH CARON}" "\N{LATIN SMALL LETTER D WITH STROKE}" "\N{LATIN SMALL LETTER E WITH OGONEK}" "\N{LATIN SMALL LETTER E WITH CARON}" "\N{LATIN SMALL LETTER E WITH MACRON}" "\N{LATIN SMALL LETTER E WITH DOT ABOVE}" "\N{LATIN SMALL LETTER G WITH BREVE}" "\N{LATIN SMALL LETTER G WITH CEDILLA}" "\N{LATIN SMALL LETTER I WITH OGONEK}" "\N{LATIN SMALL LETTER I WITH MACRON}" "\N{LATIN SMALL LETTER K WITH CEDILLA}" "\N{LATIN SMALL LETTER L WITH ACUTE}" "\N{LATIN SMALL LETTER L WITH CARON}" "\N{LATIN SMALL LETTER L WITH STROKE}" "\N{LATIN SMALL LETTER L WITH CEDILLA}" "\N{LATIN SMALL LIGATURE OE}" "\N{LATIN SMALL LETTER R WITH ACUTE}" "\N{LATIN SMALL LETTER S WITH ACUTE}" "\N{LATIN SMALL LETTER S WITH CEDILLA}" "\N{LATIN SMALL LETTER S WITH CARON}" "\N{LATIN SMALL LETTER T WITH CARON}" "\N{LATIN SMALL LETTER U WITH DIAERESIS}" "\N{LATIN SMALL LETTER Z WITH ACUTE}" "\N{LATIN SMALL LETTER Z WITH DOT ABOVE}" "\N{LATIN SMALL LETTER Z WITH CARON}" "\N{CYRILLIC SMALL LETTER GHE WITH UPTURN}" "\N{LATIN SMALL LIGATURE FI}" "\N{LATIN SMALL LIGATURE FL}" ), "upper_common": ( "\N{LATIN CAPITAL LETTER THORN}" "\N{GREEK CAPITAL LETTER ALPHA}-\N{GREEK CAPITAL LETTER OMEGA}" # not included under 'accented' because these can commonly # occur at ends of words, in positions where they'd be detected # as mojibake "\N{GREEK CAPITAL LETTER ALPHA WITH TONOS}" "\N{GREEK CAPITAL LETTER EPSILON WITH TONOS}" "\N{GREEK CAPITAL LETTER ETA WITH TONOS}" "\N{GREEK CAPITAL LETTER IOTA WITH TONOS}" "\N{GREEK CAPITAL LETTER OMICRON WITH TONOS}" "\N{GREEK CAPITAL LETTER UPSILON WITH TONOS}" "\N{GREEK CAPITAL LETTER OMEGA WITH TONOS}" "\N{GREEK CAPITAL LETTER IOTA WITH DIALYTIKA}" "\N{GREEK CAPITAL LETTER UPSILON WITH DIALYTIKA}" "\N{CYRILLIC CAPITAL LETTER IO}-\N{CYRILLIC CAPITAL LETTER YA}" ), "lower_common": ( # lowercase thorn does not appear in mojibake "\N{GREEK SMALL LETTER ALPHA}-\N{GREEK SMALL LETTER OMEGA}" "\N{GREEK SMALL LETTER ALPHA WITH TONOS}" "\N{GREEK SMALL LETTER EPSILON WITH TONOS}" "\N{GREEK SMALL LETTER ETA WITH TONOS}" "\N{GREEK SMALL LETTER IOTA WITH TONOS}" "\N{GREEK SMALL LETTER UPSILON WITH DIALYTIKA AND TONOS}" "\N{CYRILLIC SMALL LETTER A}-\N{CYRILLIC SMALL LETTER DZHE}" ), "box": ( # omit the single horizontal line, might be used in kaomoji "│┌â”┘├┤┬┼" "\N{BOX DRAWINGS DOUBLE HORIZONTAL}-\N{BOX DRAWINGS DOUBLE VERTICAL AND HORIZONTAL}" "▀▄█▌â–â–‘â–’â–“" ), } # We can now build a regular expression that detects unlikely juxtapositions # of characters, mostly based on their categories. # # Another regular expression, which detects sequences that look more specifically # like UTF-8 mojibake, appears in chardata.py. # # This is a verbose regular expression, with whitespace added for somewhat more # readability. Remember that the only spaces that count as literal spaces in this # expression are ones inside character classes (square brackets). BADNESS_RE = re.compile( r""" [{c1}] | [{bad}{lower_accented}{upper_accented}{box}{start_punctuation}{end_punctuation}{currency}{numeric}{law}] [{bad}] | [a-zA-Z] [{lower_common}{upper_common}] [{bad}] | [{bad}] [{lower_accented}{upper_accented}{box}{start_punctuation}{end_punctuation}{currency}{numeric}{law}] | [{lower_accented}{lower_common}{box}{end_punctuation}{currency}{numeric}] [{upper_accented}] | [{box}{end_punctuation}{currency}{numeric}] [{lower_accented}] | [{lower_accented}{box}{end_punctuation}] [{currency}] | \s [{upper_accented}] [{currency}] | [{upper_accented}{box}] [{numeric}{law}] | [{lower_accented}{upper_accented}{box}{currency}{end_punctuation}] [{start_punctuation}] [{numeric}] | [{lower_accented}{upper_accented}{currency}{numeric}{box}{law}] [{end_punctuation}] [{start_punctuation}] | [{currency}{numeric}{box}] [{start_punctuation}] | [a-z] [{upper_accented}] [{start_punctuation}{currency}] | [{box}] [{kaomoji}] | [{lower_accented}{upper_accented}{currency}{numeric}{start_punctuation}{end_punctuation}{law}] [{box}] | [{box}] [{end_punctuation}] | [{lower_accented}{upper_accented}] [{start_punctuation}{end_punctuation}] \w | # The ligature Å“ when not followed by an unaccented Latin letter [Å’Å“][^A-Za-z] | # Degree signs after capital letters [{upper_accented}]° | # Common Windows-1252 2-character mojibake that isn't covered by the cases above [ÂÃÎÃ][€œŠš¢£Ÿž\xa0\xad®©°·»{start_punctuation}{end_punctuation}–—´] | × [²³] | # Windows-1252 mojibake of Arabic words needs to include the 'common' characters. # To compensate, we require four characters to be matched. [ØÙ] [{common}{currency}{bad}{numeric}{start_punctuation}ŸŠ®°µ»] [ØÙ] [{common}{currency}{bad}{numeric}{start_punctuation}ŸŠ®°µ»] | # Windows-1252 mojibake that starts 3-character sequences for some South Asian # alphabets à[²µ¹¼½¾] | # MacRoman mojibake that isn't covered by the cases above √[±∂†≠®™´≤≥¥µø] | ≈[°¢] | ‚Ä[ìîïòôúùû†°¢π] | ‚[âó][àä°ê] | # Windows-1251 mojibake of characters in the U+2000 range †| # Windows-1251 mojibake of Latin-1 characters and/or the Cyrillic alphabet. # Because the 2-character sequences involved here may be common, we require # seeing a 3-character sequence. [ВГРС][{c1}{bad}{start_punctuation}{end_punctuation}{currency}°µ][ВГРС] | # A distinctive five-character sequence of Cyrillic letters, which can be # Windows-1251 mojibake on top of Latin-1 mojibake of Windows-1252 characters. # Require a Latin letter nearby. ГўВЂВ.[A-Za-z ] | # Windows-1252 encodings of 'à' and 'á', as well as \xa0 itself Ã[\xa0¡] | [a-z]\s?[ÃÂ][ ] | ^[ÃÂ][ ] | # Cases where  precedes a character as an encoding of exactly the same # character, and the character is common enough [a-z.,?!{end_punctuation}]  [ {start_punctuation}{end_punctuation}] | # Windows-1253 mojibake of characters in the U+2000 range β€[â„¢\xa0Ά\xad®°] | # Windows-1253 mojibake of Latin-1 characters and/or the Greek alphabet [ΒΓΞΟ][{c1}{bad}{start_punctuation}{end_punctuation}{currency}°][ΒΓΞΟ] | # Windows-1257 mojibake of characters in the U+2000 range Ä€ """.format( **MOJIBAKE_CATEGORIES ), re.VERBOSE, ) def sequence_weirdness(text: str) -> int: """ This was the name of the heuristic used in ftfy 2.x through 5.x. As an attempt at compatibility with external code that calls the heuristic directly, we redirect to our new heuristic, :func:`badness`. """ warnings.warn( "`sequence_weirdness()` is an old heuristic, and the current " "closest equivalent is `ftfy.badness.badness()`" ) return badness(text) def badness(text: str) -> int: """ Get the 'badness' of a sequence of text, counting the number of unlikely character sequences. A badness greater than 0 indicates that some of it seems to be mojibake. """ return len(BADNESS_RE.findall(text)) def is_bad(text: str) -> bool: """ Returns true iff the given text looks like it contains mojibake. This can be faster than `badness`, because it returns when the first match is found to a regex instead of counting matches. Note that as strings get longer, they have a higher chance of returning True for `is_bad(string)`. """ return bool(BADNESS_RE.search(text)) rspeer-python-ftfy-5340af6/ftfy/chardata.py000066400000000000000000001041371470703607600207420ustar00rootroot00000000000000""" This gives other modules access to the gritty details about characters and the encodings that use them. """ from __future__ import annotations import html import itertools import re import unicodedata # These are the encodings we will try to fix in ftfy, in the # order that they should be tried. CHARMAP_ENCODINGS = [ "latin-1", "sloppy-windows-1252", "sloppy-windows-1251", "sloppy-windows-1250", "sloppy-windows-1253", "sloppy-windows-1254", "sloppy-windows-1257", "iso-8859-2", "macroman", "cp437", ] SINGLE_QUOTE_RE = re.compile("[\u02bc\u2018-\u201b]") DOUBLE_QUOTE_RE = re.compile("[\u201c-\u201f]") def _build_regexes() -> dict[str, re.Pattern[str]]: """ ENCODING_REGEXES contain reasonably fast ways to detect if we could represent a given string in a given encoding. The simplest one is the 'ascii' detector, which of course just determines if all characters are between U+0000 and U+007F. """ # Define a regex that matches ASCII text. encoding_regexes = {"ascii": re.compile("^[\x00-\x7f]*$")} for encoding in CHARMAP_ENCODINGS: # Make a sequence of characters that bytes \x80 to \xFF decode to # in each encoding, as well as byte \x1A, which is used to represent # the replacement character � in the sloppy-* encodings. byte_range = bytes(list(range(0x80, 0x100)) + [0x1A]) charlist = byte_range.decode(encoding) # The rest of the ASCII bytes -- bytes \x00 to \x19 and \x1B # to \x7F -- will decode as those ASCII characters in any encoding we # support, so we can just include them as ranges. This also lets us # not worry about escaping regex special characters, because all of # them are in the \x1B to \x7F range. regex = f"^[\x00-\x19\x1b-\x7f{charlist}]*$" encoding_regexes[encoding] = re.compile(regex) return encoding_regexes ENCODING_REGEXES = _build_regexes() def _build_html_entities() -> dict[str, str]: entities = {} # Create a dictionary based on the built-in HTML5 entity dictionary. # Add a limited set of HTML entities that we'll also decode if they've # been case-folded to uppercase, such as decoding &NTILDE; as "Ñ". for name, char in html.entities.html5.items(): # type: ignore if name.endswith(";"): entities["&" + name] = char # Restrict the set of characters we can attempt to decode if their # name has been uppercased. If we tried to handle all entity names, # the results would be ambiguous. if name == name.lower(): name_upper = name.upper() entity_upper = "&" + name_upper if html.unescape(entity_upper) == entity_upper: entities[entity_upper] = char.upper() return entities HTML_ENTITY_RE = re.compile(r"&#?[0-9A-Za-z]{1,24};") HTML_ENTITIES = _build_html_entities() def possible_encoding(text: str, encoding: str) -> bool: """ Given text and a single-byte encoding, check whether that text could have been decoded from that single-byte encoding. In other words, check whether it can be encoded in that encoding, possibly sloppily. """ return bool(ENCODING_REGEXES[encoding].match(text)) def _build_control_char_mapping() -> dict[int, None]: """ Build a translate mapping that strips likely-unintended control characters. See :func:`ftfy.fixes.remove_control_chars` for a description of these codepoint ranges and why they should be removed. """ control_chars: dict[int, None] = {} for i in itertools.chain( range(0x00, 0x09), [0x0B], range(0x0E, 0x20), [0x7F], range(0x206A, 0x2070), [0xFEFF], range(0xFFF9, 0xFFFD), ): control_chars[i] = None return control_chars CONTROL_CHARS = _build_control_char_mapping() # Recognize UTF-8 sequences that would be valid if it weren't for a b'\xa0' # that some Windows-1252 program converted to a plain space. # # The smaller values are included on a case-by-case basis, because we don't want # to decode likely input sequences to unlikely characters. These are the ones # that *do* form likely characters before 0xa0: # # 0xc2 -> U+A0 NO-BREAK SPACE # 0xc3 -> U+E0 LATIN SMALL LETTER A WITH GRAVE # 0xc5 -> U+160 LATIN CAPITAL LETTER S WITH CARON # 0xce -> U+3A0 GREEK CAPITAL LETTER PI # 0xd0 -> U+420 CYRILLIC CAPITAL LETTER ER # 0xd9 -> U+660 ARABIC-INDIC DIGIT ZERO # # In three-character sequences, we exclude some lead bytes in some cases. # # When the lead byte is immediately followed by 0xA0, we shouldn't accept # a space there, because it leads to some less-likely character ranges: # # 0xe0 -> Samaritan script # 0xe1 -> Mongolian script (corresponds to Latin-1 'á' which is too common) # # We accept 0xe2 and 0xe3, which cover many scripts. Bytes 0xe4 and # higher point mostly to CJK characters, which we generally don't want to # decode near Latin lowercase letters. # # In four-character sequences, the lead byte must be F0, because that accounts # for almost all of the usage of high-numbered codepoints (tag characters whose # UTF-8 starts with the byte F3 are only used in some rare new emoji sequences). # # This is meant to be applied to encodings of text that tests true for `is_bad`. # Any of these could represent characters that legitimately appear surrounded by # spaces, particularly U+C5 (Ã…), which is a word in multiple languages! # # We should consider checking for b'\x85' being converted to ... in the future. # I've seen it once, but the text still wasn't recoverable. ALTERED_UTF8_RE = re.compile( b"[\xc2\xc3\xc5\xce\xd0\xd9][ ]" b"|[\xe2\xe3][ ][\x80-\x84\x86-\x9f\xa1-\xbf]" b"|[\xe0-\xe3][\x80-\x84\x86-\x9f\xa1-\xbf][ ]" b"|[\xf0][ ][\x80-\xbf][\x80-\xbf]" b"|[\xf0][\x80-\xbf][ ][\x80-\xbf]" b"|[\xf0][\x80-\xbf][\x80-\xbf][ ]" ) # This expression matches UTF-8 and CESU-8 sequences where some of the # continuation bytes have been lost. The byte 0x1a (sometimes written as ^Z) is # used within ftfy to represent a byte that produced the replacement character # \ufffd. We don't know which byte it was, but we can at least decode the UTF-8 # sequence as \ufffd instead of failing to re-decode it at all. # # In some cases, we allow the ASCII '?' in place of \ufffd, but at most once per # sequence. LOSSY_UTF8_RE = re.compile( b"[\xc2-\xdf][\x1a]" b"|[\xc2-\xc3][?]" b"|\xed[\xa0-\xaf][\x1a?]\xed[\xb0-\xbf][\x1a?\x80-\xbf]" b"|\xed[\xa0-\xaf][\x1a?\x80-\xbf]\xed[\xb0-\xbf][\x1a?]" b"|[\xe0-\xef][\x1a?][\x1a\x80-\xbf]" b"|[\xe0-\xef][\x1a\x80-\xbf][\x1a?]" b"|[\xf0-\xf4][\x1a?][\x1a\x80-\xbf][\x1a\x80-\xbf]" b"|[\xf0-\xf4][\x1a\x80-\xbf][\x1a?][\x1a\x80-\xbf]" b"|[\xf0-\xf4][\x1a\x80-\xbf][\x1a\x80-\xbf][\x1a?]" b"|\x1a" ) # This regex matches C1 control characters, which occupy some of the positions # in the Latin-1 character map that Windows assigns to other characters instead. C1_CONTROL_RE = re.compile(r"[\x80-\x9f]") # A translate mapping that breaks ligatures made of Latin letters. While # ligatures may be important to the representation of other languages, in Latin # letters they tend to represent a copy/paste error. It omits ligatures such # as æ that are frequently used intentionally. # # This list additionally includes some Latin digraphs that represent two # characters for legacy encoding reasons, not for typographical reasons. # # Ligatures and digraphs may also be separated by NFKC normalization, but that # is sometimes more normalization than you want. LIGATURES = { ord("IJ"): "IJ", # Dutch ligatures ord("ij"): "ij", ord("ʼn"): "ʼn", # Afrikaans digraph meant to avoid auto-curled quote ord("DZ"): "DZ", # Serbian/Croatian digraphs for Cyrillic conversion ord("Dz"): "Dz", ord("dz"): "dz", ord("Ç„"): "DŽ", ord("Ç…"): "Dž", ord("dž"): "dž", ord("LJ"): "LJ", ord("Lj"): "Lj", ord("lj"): "lj", ord("ÇŠ"): "NJ", ord("Ç‹"): "Nj", ord("ÇŒ"): "nj", ord("ff"): "ff", # Latin typographical ligatures ord("ï¬"): "fi", ord("fl"): "fl", ord("ffi"): "ffi", ord("ffl"): "ffl", ord("ſt"): "Å¿t", ord("st"): "st", } def _build_width_map() -> dict[int, str]: """ Build a translate mapping that replaces halfwidth and fullwidth forms with their standard-width forms. """ # Though it's not listed as a fullwidth character, we'll want to convert # U+3000 IDEOGRAPHIC SPACE to U+20 SPACE on the same principle, so start # with that in the dictionary. width_map = {0x3000: " "} for i in range(0xFF01, 0xFFF0): char = chr(i) alternate = unicodedata.normalize("NFKC", char) if alternate != char: width_map[i] = alternate return width_map WIDTH_MAP = _build_width_map() # Character classes that help us pinpoint embedded mojibake. These can # include common characters, because we'll also check them for 'badness'. # # Though they go on for many lines, the members of this dictionary are # single concatenated strings. # # This code is generated using scripts/char_data_table.py. UTF8_CLUES: dict[str, str] = { # Letters that decode to 0xC2 - 0xDF in a Latin-1-like encoding "utf8_first_of_2": ( "\N{LATIN CAPITAL LETTER A WITH BREVE}" # windows-1250:C3 "\N{LATIN CAPITAL LETTER A WITH CIRCUMFLEX}" # latin-1:C2 "\N{LATIN CAPITAL LETTER A WITH DIAERESIS}" # latin-1:C4 "\N{LATIN CAPITAL LETTER A WITH MACRON}" # windows-1257:C2 "\N{LATIN CAPITAL LETTER A WITH RING ABOVE}" # latin-1:C5 "\N{LATIN CAPITAL LETTER A WITH TILDE}" # latin-1:C3 "\N{LATIN CAPITAL LETTER AE}" # latin-1:C6 "\N{LATIN CAPITAL LETTER C WITH ACUTE}" # windows-1250:C6 "\N{LATIN CAPITAL LETTER C WITH CARON}" # windows-1250:C8 "\N{LATIN CAPITAL LETTER C WITH CEDILLA}" # latin-1:C7 "\N{LATIN CAPITAL LETTER D WITH CARON}" # windows-1250:CF "\N{LATIN CAPITAL LETTER D WITH STROKE}" # windows-1250:D0 "\N{LATIN CAPITAL LETTER E WITH ACUTE}" # latin-1:C9 "\N{LATIN CAPITAL LETTER E WITH CARON}" # windows-1250:CC "\N{LATIN CAPITAL LETTER E WITH CIRCUMFLEX}" # latin-1:CA "\N{LATIN CAPITAL LETTER E WITH DIAERESIS}" # latin-1:CB "\N{LATIN CAPITAL LETTER E WITH DOT ABOVE}" # windows-1257:CB "\N{LATIN CAPITAL LETTER E WITH GRAVE}" # latin-1:C8 "\N{LATIN CAPITAL LETTER E WITH MACRON}" # windows-1257:C7 "\N{LATIN CAPITAL LETTER E WITH OGONEK}" # windows-1250:CA "\N{LATIN CAPITAL LETTER ETH}" # latin-1:D0 "\N{LATIN CAPITAL LETTER G WITH BREVE}" # windows-1254:D0 "\N{LATIN CAPITAL LETTER G WITH CEDILLA}" # windows-1257:CC "\N{LATIN CAPITAL LETTER I WITH ACUTE}" # latin-1:CD "\N{LATIN CAPITAL LETTER I WITH CIRCUMFLEX}" # latin-1:CE "\N{LATIN CAPITAL LETTER I WITH DIAERESIS}" # latin-1:CF "\N{LATIN CAPITAL LETTER I WITH DOT ABOVE}" # windows-1254:DD "\N{LATIN CAPITAL LETTER I WITH GRAVE}" # latin-1:CC "\N{LATIN CAPITAL LETTER I WITH MACRON}" # windows-1257:CE "\N{LATIN CAPITAL LETTER K WITH CEDILLA}" # windows-1257:CD "\N{LATIN CAPITAL LETTER L WITH ACUTE}" # windows-1250:C5 "\N{LATIN CAPITAL LETTER L WITH CEDILLA}" # windows-1257:CF "\N{LATIN CAPITAL LETTER L WITH STROKE}" # windows-1257:D9 "\N{LATIN CAPITAL LETTER N WITH ACUTE}" # windows-1250:D1 "\N{LATIN CAPITAL LETTER N WITH CARON}" # windows-1250:D2 "\N{LATIN CAPITAL LETTER N WITH CEDILLA}" # windows-1257:D2 "\N{LATIN CAPITAL LETTER N WITH TILDE}" # latin-1:D1 "\N{LATIN CAPITAL LETTER O WITH ACUTE}" # latin-1:D3 "\N{LATIN CAPITAL LETTER O WITH CIRCUMFLEX}" # latin-1:D4 "\N{LATIN CAPITAL LETTER O WITH DIAERESIS}" # latin-1:D6 "\N{LATIN CAPITAL LETTER O WITH DOUBLE ACUTE}" # windows-1250:D5 "\N{LATIN CAPITAL LETTER O WITH GRAVE}" # latin-1:D2 "\N{LATIN CAPITAL LETTER O WITH MACRON}" # windows-1257:D4 "\N{LATIN CAPITAL LETTER O WITH STROKE}" # latin-1:D8 "\N{LATIN CAPITAL LETTER O WITH TILDE}" # latin-1:D5 "\N{LATIN CAPITAL LETTER R WITH CARON}" # windows-1250:D8 "\N{LATIN CAPITAL LETTER S WITH ACUTE}" # windows-1257:DA "\N{LATIN CAPITAL LETTER S WITH CARON}" # windows-1257:D0 "\N{LATIN CAPITAL LETTER S WITH CEDILLA}" # windows-1254:DE "\N{LATIN CAPITAL LETTER T WITH CEDILLA}" # windows-1250:DE "\N{LATIN CAPITAL LETTER THORN}" # latin-1:DE "\N{LATIN CAPITAL LETTER U WITH ACUTE}" # latin-1:DA "\N{LATIN CAPITAL LETTER U WITH CIRCUMFLEX}" # latin-1:DB "\N{LATIN CAPITAL LETTER U WITH DIAERESIS}" # latin-1:DC "\N{LATIN CAPITAL LETTER U WITH DOUBLE ACUTE}" # windows-1250:DB "\N{LATIN CAPITAL LETTER U WITH GRAVE}" # latin-1:D9 "\N{LATIN CAPITAL LETTER U WITH MACRON}" # windows-1257:DB "\N{LATIN CAPITAL LETTER U WITH OGONEK}" # windows-1257:D8 "\N{LATIN CAPITAL LETTER U WITH RING ABOVE}" # windows-1250:D9 "\N{LATIN CAPITAL LETTER Y WITH ACUTE}" # latin-1:DD "\N{LATIN CAPITAL LETTER Z WITH ACUTE}" # windows-1257:CA "\N{LATIN CAPITAL LETTER Z WITH CARON}" # windows-1257:DE "\N{LATIN CAPITAL LETTER Z WITH DOT ABOVE}" # windows-1257:DD "\N{LATIN SMALL LETTER SHARP S}" # latin-1:DF "\N{MULTIPLICATION SIGN}" # latin-1:D7 "\N{GREEK CAPITAL LETTER BETA}" # windows-1253:C2 "\N{GREEK CAPITAL LETTER GAMMA}" # windows-1253:C3 "\N{GREEK CAPITAL LETTER DELTA}" # windows-1253:C4 "\N{GREEK CAPITAL LETTER EPSILON}" # windows-1253:C5 "\N{GREEK CAPITAL LETTER ZETA}" # windows-1253:C6 "\N{GREEK CAPITAL LETTER ETA}" # windows-1253:C7 "\N{GREEK CAPITAL LETTER THETA}" # windows-1253:C8 "\N{GREEK CAPITAL LETTER IOTA}" # windows-1253:C9 "\N{GREEK CAPITAL LETTER KAPPA}" # windows-1253:CA "\N{GREEK CAPITAL LETTER LAMDA}" # windows-1253:CB "\N{GREEK CAPITAL LETTER MU}" # windows-1253:CC "\N{GREEK CAPITAL LETTER NU}" # windows-1253:CD "\N{GREEK CAPITAL LETTER XI}" # windows-1253:CE "\N{GREEK CAPITAL LETTER OMICRON}" # windows-1253:CF "\N{GREEK CAPITAL LETTER PI}" # windows-1253:D0 "\N{GREEK CAPITAL LETTER RHO}" # windows-1253:D1 "\N{GREEK CAPITAL LETTER SIGMA}" # windows-1253:D3 "\N{GREEK CAPITAL LETTER TAU}" # windows-1253:D4 "\N{GREEK CAPITAL LETTER UPSILON}" # windows-1253:D5 "\N{GREEK CAPITAL LETTER PHI}" # windows-1253:D6 "\N{GREEK CAPITAL LETTER CHI}" # windows-1253:D7 "\N{GREEK CAPITAL LETTER PSI}" # windows-1253:D8 "\N{GREEK CAPITAL LETTER OMEGA}" # windows-1253:D9 "\N{GREEK CAPITAL LETTER IOTA WITH DIALYTIKA}" # windows-1253:DA "\N{GREEK CAPITAL LETTER UPSILON WITH DIALYTIKA}" # windows-1253:DB "\N{GREEK SMALL LETTER ALPHA WITH TONOS}" # windows-1253:DC "\N{GREEK SMALL LETTER EPSILON WITH TONOS}" # windows-1253:DD "\N{GREEK SMALL LETTER ETA WITH TONOS}" # windows-1253:DE "\N{GREEK SMALL LETTER IOTA WITH TONOS}" # windows-1253:DF "\N{CYRILLIC CAPITAL LETTER VE}" # windows-1251:C2 "\N{CYRILLIC CAPITAL LETTER GHE}" # windows-1251:C3 "\N{CYRILLIC CAPITAL LETTER DE}" # windows-1251:C4 "\N{CYRILLIC CAPITAL LETTER IE}" # windows-1251:C5 "\N{CYRILLIC CAPITAL LETTER ZHE}" # windows-1251:C6 "\N{CYRILLIC CAPITAL LETTER ZE}" # windows-1251:C7 "\N{CYRILLIC CAPITAL LETTER I}" # windows-1251:C8 "\N{CYRILLIC CAPITAL LETTER SHORT I}" # windows-1251:C9 "\N{CYRILLIC CAPITAL LETTER KA}" # windows-1251:CA "\N{CYRILLIC CAPITAL LETTER EL}" # windows-1251:CB "\N{CYRILLIC CAPITAL LETTER EM}" # windows-1251:CC "\N{CYRILLIC CAPITAL LETTER EN}" # windows-1251:CD "\N{CYRILLIC CAPITAL LETTER O}" # windows-1251:CE "\N{CYRILLIC CAPITAL LETTER PE}" # windows-1251:CF "\N{CYRILLIC CAPITAL LETTER ER}" # windows-1251:D0 "\N{CYRILLIC CAPITAL LETTER ES}" # windows-1251:D1 "\N{CYRILLIC CAPITAL LETTER TE}" # windows-1251:D2 "\N{CYRILLIC CAPITAL LETTER U}" # windows-1251:D3 "\N{CYRILLIC CAPITAL LETTER EF}" # windows-1251:D4 "\N{CYRILLIC CAPITAL LETTER HA}" # windows-1251:D5 "\N{CYRILLIC CAPITAL LETTER TSE}" # windows-1251:D6 "\N{CYRILLIC CAPITAL LETTER CHE}" # windows-1251:D7 "\N{CYRILLIC CAPITAL LETTER SHA}" # windows-1251:D8 "\N{CYRILLIC CAPITAL LETTER SHCHA}" # windows-1251:D9 "\N{CYRILLIC CAPITAL LETTER HARD SIGN}" # windows-1251:DA "\N{CYRILLIC CAPITAL LETTER YERU}" # windows-1251:DB "\N{CYRILLIC CAPITAL LETTER SOFT SIGN}" # windows-1251:DC "\N{CYRILLIC CAPITAL LETTER E}" # windows-1251:DD "\N{CYRILLIC CAPITAL LETTER YU}" # windows-1251:DE "\N{CYRILLIC CAPITAL LETTER YA}" # windows-1251:DF ), # Letters that decode to 0xE0 - 0xEF in a Latin-1-like encoding "utf8_first_of_3": ( "\N{LATIN SMALL LETTER A WITH ACUTE}" # latin-1:E1 "\N{LATIN SMALL LETTER A WITH BREVE}" # windows-1250:E3 "\N{LATIN SMALL LETTER A WITH CIRCUMFLEX}" # latin-1:E2 "\N{LATIN SMALL LETTER A WITH DIAERESIS}" # latin-1:E4 "\N{LATIN SMALL LETTER A WITH GRAVE}" # latin-1:E0 "\N{LATIN SMALL LETTER A WITH MACRON}" # windows-1257:E2 "\N{LATIN SMALL LETTER A WITH OGONEK}" # windows-1257:E0 "\N{LATIN SMALL LETTER A WITH RING ABOVE}" # latin-1:E5 "\N{LATIN SMALL LETTER A WITH TILDE}" # latin-1:E3 "\N{LATIN SMALL LETTER AE}" # latin-1:E6 "\N{LATIN SMALL LETTER C WITH ACUTE}" # windows-1250:E6 "\N{LATIN SMALL LETTER C WITH CARON}" # windows-1250:E8 "\N{LATIN SMALL LETTER C WITH CEDILLA}" # latin-1:E7 "\N{LATIN SMALL LETTER D WITH CARON}" # windows-1250:EF "\N{LATIN SMALL LETTER E WITH ACUTE}" # latin-1:E9 "\N{LATIN SMALL LETTER E WITH CARON}" # windows-1250:EC "\N{LATIN SMALL LETTER E WITH CIRCUMFLEX}" # latin-1:EA "\N{LATIN SMALL LETTER E WITH DIAERESIS}" # latin-1:EB "\N{LATIN SMALL LETTER E WITH DOT ABOVE}" # windows-1257:EB "\N{LATIN SMALL LETTER E WITH GRAVE}" # latin-1:E8 "\N{LATIN SMALL LETTER E WITH MACRON}" # windows-1257:E7 "\N{LATIN SMALL LETTER E WITH OGONEK}" # windows-1250:EA "\N{LATIN SMALL LETTER E WITH OGONEK}" # windows-1250:EA "\N{LATIN SMALL LETTER G WITH CEDILLA}" # windows-1257:EC "\N{LATIN SMALL LETTER I WITH ACUTE}" # latin-1:ED "\N{LATIN SMALL LETTER I WITH CIRCUMFLEX}" # latin-1:EE "\N{LATIN SMALL LETTER I WITH DIAERESIS}" # latin-1:EF "\N{LATIN SMALL LETTER I WITH GRAVE}" # latin-1:EC "\N{LATIN SMALL LETTER I WITH MACRON}" # windows-1257:EE "\N{LATIN SMALL LETTER I WITH OGONEK}" # windows-1257:E1 "\N{LATIN SMALL LETTER K WITH CEDILLA}" # windows-1257:ED "\N{LATIN SMALL LETTER L WITH ACUTE}" # windows-1250:E5 "\N{LATIN SMALL LETTER L WITH CEDILLA}" # windows-1257:EF "\N{LATIN SMALL LETTER R WITH ACUTE}" # windows-1250:E0 "\N{LATIN SMALL LETTER Z WITH ACUTE}" # windows-1257:EA "\N{GREEK SMALL LETTER UPSILON WITH DIALYTIKA AND TONOS}" # windows-1253:E0 "\N{GREEK SMALL LETTER ALPHA}" # windows-1253:E1 "\N{GREEK SMALL LETTER BETA}" # windows-1253:E2 "\N{GREEK SMALL LETTER GAMMA}" # windows-1253:E3 "\N{GREEK SMALL LETTER DELTA}" # windows-1253:E4 "\N{GREEK SMALL LETTER EPSILON}" # windows-1253:E5 "\N{GREEK SMALL LETTER ZETA}" # windows-1253:E6 "\N{GREEK SMALL LETTER ETA}" # windows-1253:E7 "\N{GREEK SMALL LETTER THETA}" # windows-1253:E8 "\N{GREEK SMALL LETTER IOTA}" # windows-1253:E9 "\N{GREEK SMALL LETTER KAPPA}" # windows-1253:EA "\N{GREEK SMALL LETTER LAMDA}" # windows-1253:EB "\N{GREEK SMALL LETTER MU}" # windows-1253:EC "\N{GREEK SMALL LETTER NU}" # windows-1253:ED "\N{GREEK SMALL LETTER XI}" # windows-1253:EE "\N{GREEK SMALL LETTER OMICRON}" # windows-1253:EF "\N{CYRILLIC SMALL LETTER A}" # windows-1251:E0 "\N{CYRILLIC SMALL LETTER BE}" # windows-1251:E1 "\N{CYRILLIC SMALL LETTER VE}" # windows-1251:E2 "\N{CYRILLIC SMALL LETTER GHE}" # windows-1251:E3 "\N{CYRILLIC SMALL LETTER DE}" # windows-1251:E4 "\N{CYRILLIC SMALL LETTER IE}" # windows-1251:E5 "\N{CYRILLIC SMALL LETTER ZHE}" # windows-1251:E6 "\N{CYRILLIC SMALL LETTER ZE}" # windows-1251:E7 "\N{CYRILLIC SMALL LETTER I}" # windows-1251:E8 "\N{CYRILLIC SMALL LETTER SHORT I}" # windows-1251:E9 "\N{CYRILLIC SMALL LETTER KA}" # windows-1251:EA "\N{CYRILLIC SMALL LETTER EL}" # windows-1251:EB "\N{CYRILLIC SMALL LETTER EM}" # windows-1251:EC "\N{CYRILLIC SMALL LETTER EN}" # windows-1251:ED "\N{CYRILLIC SMALL LETTER O}" # windows-1251:EE "\N{CYRILLIC SMALL LETTER PE}" # windows-1251:EF ), # Letters that decode to 0xF0 or 0xF3 in a Latin-1-like encoding. # (Other leading bytes correspond only to unassigned codepoints) "utf8_first_of_4": ( "\N{LATIN SMALL LETTER D WITH STROKE}" # windows-1250:F0 "\N{LATIN SMALL LETTER ETH}" # latin-1:F0 "\N{LATIN SMALL LETTER G WITH BREVE}" # windows-1254:F0 "\N{LATIN SMALL LETTER O WITH ACUTE}" # latin-1:F3 "\N{LATIN SMALL LETTER S WITH CARON}" # windows-1257:F0 "\N{GREEK SMALL LETTER PI}" # windows-1253:F0 "\N{GREEK SMALL LETTER SIGMA}" # windows-1253:F3 "\N{CYRILLIC SMALL LETTER ER}" # windows-1251:F0 "\N{CYRILLIC SMALL LETTER U}" # windows-1251:F3 ), # Letters that decode to 0x80 - 0xBF in a Latin-1-like encoding, # including a space standing in for 0xA0 "utf8_continuation": ( "\x80-\xbf" "\N{SPACE}" # modification of latin-1:A0, NO-BREAK SPACE "\N{LATIN CAPITAL LETTER A WITH OGONEK}" # windows-1250:A5 "\N{LATIN CAPITAL LETTER AE}" # windows-1257:AF "\N{LATIN CAPITAL LETTER L WITH CARON}" # windows-1250:BC "\N{LATIN CAPITAL LETTER L WITH STROKE}" # windows-1250:A3 "\N{LATIN CAPITAL LETTER O WITH STROKE}" # windows-1257:A8 "\N{LATIN CAPITAL LETTER R WITH CEDILLA}" # windows-1257:AA "\N{LATIN CAPITAL LETTER S WITH ACUTE}" # windows-1250:8C "\N{LATIN CAPITAL LETTER S WITH CARON}" # windows-1252:8A "\N{LATIN CAPITAL LETTER S WITH CEDILLA}" # windows-1250:AA "\N{LATIN CAPITAL LETTER T WITH CARON}" # windows-1250:8D "\N{LATIN CAPITAL LETTER Y WITH DIAERESIS}" # windows-1252:9F "\N{LATIN CAPITAL LETTER Z WITH ACUTE}" # windows-1250:8F "\N{LATIN CAPITAL LETTER Z WITH CARON}" # windows-1252:8E "\N{LATIN CAPITAL LETTER Z WITH DOT ABOVE}" # windows-1250:AF "\N{LATIN CAPITAL LIGATURE OE}" # windows-1252:8C "\N{LATIN SMALL LETTER A WITH OGONEK}" # windows-1250:B9 "\N{LATIN SMALL LETTER AE}" # windows-1257:BF "\N{LATIN SMALL LETTER F WITH HOOK}" # windows-1252:83 "\N{LATIN SMALL LETTER L WITH CARON}" # windows-1250:BE "\N{LATIN SMALL LETTER L WITH STROKE}" # windows-1250:B3 "\N{LATIN SMALL LETTER O WITH STROKE}" # windows-1257:B8 "\N{LATIN SMALL LETTER R WITH CEDILLA}" # windows-1257:BA "\N{LATIN SMALL LETTER S WITH ACUTE}" # windows-1250:9C "\N{LATIN SMALL LETTER S WITH CARON}" # windows-1252:9A "\N{LATIN SMALL LETTER S WITH CEDILLA}" # windows-1250:BA "\N{LATIN SMALL LETTER T WITH CARON}" # windows-1250:9D "\N{LATIN SMALL LETTER Z WITH ACUTE}" # windows-1250:9F "\N{LATIN SMALL LETTER Z WITH CARON}" # windows-1252:9E "\N{LATIN SMALL LETTER Z WITH DOT ABOVE}" # windows-1250:BF "\N{LATIN SMALL LIGATURE OE}" # windows-1252:9C "\N{MODIFIER LETTER CIRCUMFLEX ACCENT}" # windows-1252:88 "\N{CARON}" # windows-1250:A1 "\N{BREVE}" # windows-1250:A2 "\N{OGONEK}" # windows-1250:B2 "\N{SMALL TILDE}" # windows-1252:98 "\N{DOUBLE ACUTE ACCENT}" # windows-1250:BD "\N{GREEK TONOS}" # windows-1253:B4 "\N{GREEK DIALYTIKA TONOS}" # windows-1253:A1 "\N{GREEK CAPITAL LETTER ALPHA WITH TONOS}" # windows-1253:A2 "\N{GREEK CAPITAL LETTER EPSILON WITH TONOS}" # windows-1253:B8 "\N{GREEK CAPITAL LETTER ETA WITH TONOS}" # windows-1253:B9 "\N{GREEK CAPITAL LETTER IOTA WITH TONOS}" # windows-1253:BA "\N{GREEK CAPITAL LETTER OMICRON WITH TONOS}" # windows-1253:BC "\N{GREEK CAPITAL LETTER UPSILON WITH TONOS}" # windows-1253:BE "\N{GREEK CAPITAL LETTER OMEGA WITH TONOS}" # windows-1253:BF "\N{CYRILLIC CAPITAL LETTER IO}" # windows-1251:A8 "\N{CYRILLIC CAPITAL LETTER DJE}" # windows-1251:80 "\N{CYRILLIC CAPITAL LETTER GJE}" # windows-1251:81 "\N{CYRILLIC CAPITAL LETTER UKRAINIAN IE}" # windows-1251:AA "\N{CYRILLIC CAPITAL LETTER DZE}" # windows-1251:BD "\N{CYRILLIC CAPITAL LETTER BYELORUSSIAN-UKRAINIAN I}" # windows-1251:B2 "\N{CYRILLIC CAPITAL LETTER YI}" # windows-1251:AF "\N{CYRILLIC CAPITAL LETTER JE}" # windows-1251:A3 "\N{CYRILLIC CAPITAL LETTER LJE}" # windows-1251:8A "\N{CYRILLIC CAPITAL LETTER NJE}" # windows-1251:8C "\N{CYRILLIC CAPITAL LETTER TSHE}" # windows-1251:8E "\N{CYRILLIC CAPITAL LETTER KJE}" # windows-1251:8D "\N{CYRILLIC CAPITAL LETTER SHORT U}" # windows-1251:A1 "\N{CYRILLIC CAPITAL LETTER DZHE}" # windows-1251:8F "\N{CYRILLIC SMALL LETTER IO}" # windows-1251:B8 "\N{CYRILLIC SMALL LETTER DJE}" # windows-1251:90 "\N{CYRILLIC SMALL LETTER GJE}" # windows-1251:83 "\N{CYRILLIC SMALL LETTER UKRAINIAN IE}" # windows-1251:BA "\N{CYRILLIC SMALL LETTER DZE}" # windows-1251:BE "\N{CYRILLIC SMALL LETTER BYELORUSSIAN-UKRAINIAN I}" # windows-1251:B3 "\N{CYRILLIC SMALL LETTER YI}" # windows-1251:BF "\N{CYRILLIC SMALL LETTER JE}" # windows-1251:BC "\N{CYRILLIC SMALL LETTER LJE}" # windows-1251:9A "\N{CYRILLIC SMALL LETTER NJE}" # windows-1251:9C "\N{CYRILLIC SMALL LETTER TSHE}" # windows-1251:9E "\N{CYRILLIC SMALL LETTER KJE}" # windows-1251:9D "\N{CYRILLIC SMALL LETTER SHORT U}" # windows-1251:A2 "\N{CYRILLIC SMALL LETTER DZHE}" # windows-1251:9F "\N{CYRILLIC CAPITAL LETTER GHE WITH UPTURN}" # windows-1251:A5 "\N{CYRILLIC SMALL LETTER GHE WITH UPTURN}" # windows-1251:B4 "\N{EN DASH}" # windows-1252:96 "\N{EM DASH}" # windows-1252:97 "\N{HORIZONTAL BAR}" # windows-1253:AF "\N{LEFT SINGLE QUOTATION MARK}" # windows-1252:91 "\N{RIGHT SINGLE QUOTATION MARK}" # windows-1252:92 "\N{SINGLE LOW-9 QUOTATION MARK}" # windows-1252:82 "\N{LEFT DOUBLE QUOTATION MARK}" # windows-1252:93 "\N{RIGHT DOUBLE QUOTATION MARK}" # windows-1252:94 "\N{DOUBLE LOW-9 QUOTATION MARK}" # windows-1252:84 "\N{DAGGER}" # windows-1252:86 "\N{DOUBLE DAGGER}" # windows-1252:87 "\N{BULLET}" # windows-1252:95 "\N{HORIZONTAL ELLIPSIS}" # windows-1252:85 "\N{PER MILLE SIGN}" # windows-1252:89 "\N{SINGLE LEFT-POINTING ANGLE QUOTATION MARK}" # windows-1252:8B "\N{SINGLE RIGHT-POINTING ANGLE QUOTATION MARK}" # windows-1252:9B "\N{EURO SIGN}" # windows-1252:80 "\N{NUMERO SIGN}" # windows-1251:B9 "\N{TRADE MARK SIGN}" # windows-1252:99 ), # Letters that decode to 0x80 - 0xBF in a Latin-1-like encoding, # and don't usually stand for themselves when adjacent to mojibake. # This excludes spaces, dashes, 'bullet', quotation marks, and ellipses. "utf8_continuation_strict": ( "\x80-\xbf" "\N{LATIN CAPITAL LETTER A WITH OGONEK}" # windows-1250:A5 "\N{LATIN CAPITAL LETTER AE}" # windows-1257:AF "\N{LATIN CAPITAL LETTER L WITH CARON}" # windows-1250:BC "\N{LATIN CAPITAL LETTER L WITH STROKE}" # windows-1250:A3 "\N{LATIN CAPITAL LETTER O WITH STROKE}" # windows-1257:A8 "\N{LATIN CAPITAL LETTER R WITH CEDILLA}" # windows-1257:AA "\N{LATIN CAPITAL LETTER S WITH ACUTE}" # windows-1250:8C "\N{LATIN CAPITAL LETTER S WITH CARON}" # windows-1252:8A "\N{LATIN CAPITAL LETTER S WITH CEDILLA}" # windows-1250:AA "\N{LATIN CAPITAL LETTER T WITH CARON}" # windows-1250:8D "\N{LATIN CAPITAL LETTER Y WITH DIAERESIS}" # windows-1252:9F "\N{LATIN CAPITAL LETTER Z WITH ACUTE}" # windows-1250:8F "\N{LATIN CAPITAL LETTER Z WITH CARON}" # windows-1252:8E "\N{LATIN CAPITAL LETTER Z WITH DOT ABOVE}" # windows-1250:AF "\N{LATIN CAPITAL LIGATURE OE}" # windows-1252:8C "\N{LATIN SMALL LETTER A WITH OGONEK}" # windows-1250:B9 "\N{LATIN SMALL LETTER AE}" # windows-1257:BF "\N{LATIN SMALL LETTER F WITH HOOK}" # windows-1252:83 "\N{LATIN SMALL LETTER L WITH CARON}" # windows-1250:BE "\N{LATIN SMALL LETTER L WITH STROKE}" # windows-1250:B3 "\N{LATIN SMALL LETTER O WITH STROKE}" # windows-1257:B8 "\N{LATIN SMALL LETTER R WITH CEDILLA}" # windows-1257:BA "\N{LATIN SMALL LETTER S WITH ACUTE}" # windows-1250:9C "\N{LATIN SMALL LETTER S WITH CARON}" # windows-1252:9A "\N{LATIN SMALL LETTER S WITH CEDILLA}" # windows-1250:BA "\N{LATIN SMALL LETTER T WITH CARON}" # windows-1250:9D "\N{LATIN SMALL LETTER Z WITH ACUTE}" # windows-1250:9F "\N{LATIN SMALL LETTER Z WITH CARON}" # windows-1252:9E "\N{LATIN SMALL LETTER Z WITH DOT ABOVE}" # windows-1250:BF "\N{LATIN SMALL LIGATURE OE}" # windows-1252:9C "\N{MODIFIER LETTER CIRCUMFLEX ACCENT}" # windows-1252:88 "\N{CARON}" # windows-1250:A1 "\N{BREVE}" # windows-1250:A2 "\N{OGONEK}" # windows-1250:B2 "\N{SMALL TILDE}" # windows-1252:98 "\N{DOUBLE ACUTE ACCENT}" # windows-1250:BD "\N{GREEK TONOS}" # windows-1253:B4 "\N{GREEK DIALYTIKA TONOS}" # windows-1253:A1 "\N{GREEK CAPITAL LETTER ALPHA WITH TONOS}" # windows-1253:A2 "\N{GREEK CAPITAL LETTER EPSILON WITH TONOS}" # windows-1253:B8 "\N{GREEK CAPITAL LETTER ETA WITH TONOS}" # windows-1253:B9 "\N{GREEK CAPITAL LETTER IOTA WITH TONOS}" # windows-1253:BA "\N{GREEK CAPITAL LETTER OMICRON WITH TONOS}" # windows-1253:BC "\N{GREEK CAPITAL LETTER UPSILON WITH TONOS}" # windows-1253:BE "\N{GREEK CAPITAL LETTER OMEGA WITH TONOS}" # windows-1253:BF "\N{CYRILLIC CAPITAL LETTER IO}" # windows-1251:A8 "\N{CYRILLIC CAPITAL LETTER DJE}" # windows-1251:80 "\N{CYRILLIC CAPITAL LETTER GJE}" # windows-1251:81 "\N{CYRILLIC CAPITAL LETTER UKRAINIAN IE}" # windows-1251:AA "\N{CYRILLIC CAPITAL LETTER DZE}" # windows-1251:BD "\N{CYRILLIC CAPITAL LETTER BYELORUSSIAN-UKRAINIAN I}" # windows-1251:B2 "\N{CYRILLIC CAPITAL LETTER YI}" # windows-1251:AF "\N{CYRILLIC CAPITAL LETTER JE}" # windows-1251:A3 "\N{CYRILLIC CAPITAL LETTER LJE}" # windows-1251:8A "\N{CYRILLIC CAPITAL LETTER NJE}" # windows-1251:8C "\N{CYRILLIC CAPITAL LETTER TSHE}" # windows-1251:8E "\N{CYRILLIC CAPITAL LETTER KJE}" # windows-1251:8D "\N{CYRILLIC CAPITAL LETTER SHORT U}" # windows-1251:A1 "\N{CYRILLIC CAPITAL LETTER DZHE}" # windows-1251:8F "\N{CYRILLIC SMALL LETTER IO}" # windows-1251:B8 "\N{CYRILLIC SMALL LETTER DJE}" # windows-1251:90 "\N{CYRILLIC SMALL LETTER GJE}" # windows-1251:83 "\N{CYRILLIC SMALL LETTER UKRAINIAN IE}" # windows-1251:BA "\N{CYRILLIC SMALL LETTER DZE}" # windows-1251:BE "\N{CYRILLIC SMALL LETTER BYELORUSSIAN-UKRAINIAN I}" # windows-1251:B3 "\N{CYRILLIC SMALL LETTER YI}" # windows-1251:BF "\N{CYRILLIC SMALL LETTER JE}" # windows-1251:BC "\N{CYRILLIC SMALL LETTER LJE}" # windows-1251:9A "\N{CYRILLIC SMALL LETTER NJE}" # windows-1251:9C "\N{CYRILLIC SMALL LETTER TSHE}" # windows-1251:9E "\N{CYRILLIC SMALL LETTER KJE}" # windows-1251:9D "\N{CYRILLIC SMALL LETTER SHORT U}" # windows-1251:A2 "\N{CYRILLIC SMALL LETTER DZHE}" # windows-1251:9F "\N{CYRILLIC CAPITAL LETTER GHE WITH UPTURN}" # windows-1251:A5 "\N{CYRILLIC SMALL LETTER GHE WITH UPTURN}" # windows-1251:B4 "\N{DAGGER}" # windows-1252:86 "\N{DOUBLE DAGGER}" # windows-1252:87 "\N{PER MILLE SIGN}" # windows-1252:89 "\N{SINGLE LEFT-POINTING ANGLE QUOTATION MARK}" # windows-1252:8B "\N{SINGLE RIGHT-POINTING ANGLE QUOTATION MARK}" # windows-1252:9B "\N{EURO SIGN}" # windows-1252:80 "\N{NUMERO SIGN}" # windows-1251:B9 "\N{TRADE MARK SIGN}" # windows-1252:99 ), } # This regex uses UTF8_CLUES to find sequences of likely mojibake. # It matches them with + so that several adjacent UTF-8-looking sequences # get coalesced into one, allowing them to be fixed more efficiently # and not requiring every individual subsequence to be detected as 'badness'. # # We accept spaces in place of "utf8_continuation", because spaces might have # been intended to be U+A0 NO-BREAK SPACE. # # We do a lookbehind to make sure the previous character isn't a # "utf8_continuation_strict" character, so that we don't fix just a few # characters in a huge garble and make the situation worse. # # Unfortunately, the matches to this regular expression won't show their # surrounding context, and including context would make the expression much # less efficient. The 'badness' rules that require context, such as a preceding # lowercase letter, will prevent some cases of inconsistent UTF-8 from being # fixed when they don't see it. UTF8_DETECTOR_RE = re.compile( """ (? None: """ Run ftfy as a command-line utility. """ import argparse parser = argparse.ArgumentParser( description=f"ftfy (fixes text for you), version {__version__}" ) parser.add_argument( "filename", default="-", nargs="?", help="The file whose Unicode is to be fixed. Defaults to -, meaning standard input.", ) parser.add_argument( "-o", "--output", type=str, default="-", help="The file to output to. Defaults to -, meaning standard output.", ) parser.add_argument( "-g", "--guess", action="store_true", help="Ask ftfy to guess the encoding of your input. This is risky. Overrides -e.", ) parser.add_argument( "-e", "--encoding", type=str, default="utf-8", help="The encoding of the input. Defaults to UTF-8.", ) parser.add_argument( "-n", "--normalization", type=str, default="NFC", help='The normalization of Unicode to apply. Defaults to NFC. Can be "none".', ) parser.add_argument( "--preserve-entities", action="store_true", help="Leave HTML entities as they are. The default " "is to decode them, as long as no HTML tags have appeared in the file.", ) args = parser.parse_args() encoding = args.encoding if args.guess: encoding = None if args.filename == "-": # Get a standard input stream made of bytes, so we can decode it as # whatever encoding is necessary. file = sys.stdin.buffer else: file = open(args.filename, "rb") if args.output == "-": outfile = sys.stdout else: if os.path.realpath(args.output) == os.path.realpath(args.filename): sys.stderr.write(SAME_FILE_ERROR_TEXT) sys.exit(1) outfile = open(args.output, "w", encoding="utf-8") normalization = args.normalization if normalization.lower() == "none": normalization = None unescape_html: Union[str, bool] if args.preserve_entities: unescape_html = False else: unescape_html = "auto" config = TextFixerConfig(unescape_html=unescape_html, normalization=normalization) try: for line in fix_file(file, encoding=encoding, config=config): try: outfile.write(line) except UnicodeEncodeError: if sys.platform == "win32": sys.stderr.write(ENCODE_ERROR_TEXT_WINDOWS) else: sys.stderr.write(ENCODE_ERROR_TEXT_UNIX) sys.exit(1) except UnicodeDecodeError as err: sys.stderr.write(DECODE_ERROR_TEXT % (encoding, err)) sys.exit(1) if __name__ == "__main__": main() rspeer-python-ftfy-5340af6/ftfy/fixes.py000066400000000000000000000434711470703607600203140ustar00rootroot00000000000000""" The `ftfy.fixes` module contains the individual fixes that :func:`ftfy.fix_text` can perform, and provides the functions that are named in "explanations" such as the output of :func:`ftfy.fix_and_explain`. Two of these functions are particularly useful on their own, as more robust versions of functions in the Python standard library: - :func:`ftfy.fixes.decode_escapes` - :func:`ftfy.fixes.unescape_html` """ import codecs import html import re import warnings from re import Match from typing import Any import ftfy from ftfy.badness import is_bad from ftfy.chardata import ( ALTERED_UTF8_RE, C1_CONTROL_RE, CONTROL_CHARS, DOUBLE_QUOTE_RE, HTML_ENTITIES, HTML_ENTITY_RE, LIGATURES, LOSSY_UTF8_RE, SINGLE_QUOTE_RE, UTF8_DETECTOR_RE, WIDTH_MAP, ) def fix_encoding_and_explain(text: str) -> Any: """ Deprecated copy of `ftfy.fix_encoding_and_explain()`. """ warnings.warn( "`fix_encoding_and_explain()` has moved to the main module of ftfy.", DeprecationWarning, stacklevel=2, ) return ftfy.fix_encoding_and_explain(text) def fix_encoding(text: str) -> str: """ Deprecated copy of `ftfy.fix_encoding()`. """ warnings.warn( "`fix_encoding()` has moved to the main module of ftfy.", DeprecationWarning, stacklevel=2, ) return ftfy.fix_encoding(text) def apply_plan(text: str, plan: list[tuple[str, str]]) -> str: """ Deprecated copy of `ftfy.apply_plan()`. """ warnings.warn( "`apply_plan()` has moved to the main module of ftfy.", DeprecationWarning, stacklevel=2, ) return ftfy.apply_plan(text, plan) def _unescape_fixup(match: Match[str]) -> str: """ Replace one matched HTML entity with the character it represents, if possible. """ text = match.group(0) if text in HTML_ENTITIES: return HTML_ENTITIES[text] elif text.startswith("&#"): unescaped: str = html.unescape(text) # If html.unescape only decoded part of the string, that's not what # we want. The semicolon should be consumed. if ";" in unescaped: return text else: return unescaped else: return text def unescape_html(text: str) -> str: """ Decode HTML entities and character references, including some nonstandard ones written in all-caps. Python has a built-in called `html.unescape` that can decode HTML escapes, including a bunch of messy edge cases such as decoding escapes without semicolons such as "&". If you know you've got HTML-escaped text, applying `html.unescape` is the right way to convert it to plain text. But in ambiguous situations, that would create false positives. For example, the informally written text "this¬ that" should not automatically be decoded as "this¬ that". In this function, we decode the escape sequences that appear in the `html.entities.html5` dictionary, as long as they are the unambiguous ones that end in semicolons. We also decode all-caps versions of Latin letters and common symbols. If a database contains the name 'P&EACUTE;REZ', we can read that and intuit that it was supposed to say 'PÉREZ'. This is limited to a smaller set of entities, because there are many instances where entity names are case-sensitive in complicated ways. >>> unescape_html('<tag>') '' >>> unescape_html('𝒥ohn ℋancock') 'ð’¥ohn â„‹ancock' >>> unescape_html('✓') '✓' >>> unescape_html('Pérez') 'Pérez' >>> unescape_html('P&EACUTE;REZ') 'PÉREZ' >>> unescape_html('BUNDESSTRA&SZLIG;E') 'BUNDESSTRASSE' >>> unescape_html('ñ Ñ &NTILDE; &nTILDE;') 'ñ Ñ Ñ &nTILDE;' """ return HTML_ENTITY_RE.sub(_unescape_fixup, text) ANSI_RE = re.compile("\033\\[((?:\\d|;)*)([a-zA-Z])") def remove_terminal_escapes(text: str) -> str: r""" Strip out "ANSI" terminal escape sequences, such as those that produce colored text on Unix. >>> print(remove_terminal_escapes( ... "\033[36;44mI'm blue, da ba dee da ba doo...\033[0m" ... )) I'm blue, da ba dee da ba doo... """ return ANSI_RE.sub("", text) def uncurl_quotes(text: str) -> str: r""" Replace curly quotation marks with straight equivalents. >>> print(uncurl_quotes('\u201chere\u2019s a test\u201d')) "here's a test" """ return SINGLE_QUOTE_RE.sub("'", DOUBLE_QUOTE_RE.sub('"', text)) def fix_latin_ligatures(text: str) -> str: """ Replace single-character ligatures of Latin letters, such as 'ï¬', with the characters that they contain, as in 'fi'. Latin ligatures are usually not intended in text strings (though they're lovely in *rendered* text). If you have such a ligature in your string, it is probably a result of a copy-and-paste glitch. We leave ligatures in other scripts alone to be safe. They may be intended, and removing them may lose information. If you want to take apart nearly all ligatures, use NFKC normalization. >>> print(fix_latin_ligatures("fluffiest")) fluffiest """ return text.translate(LIGATURES) def fix_character_width(text: str) -> str: """ The ASCII characters, katakana, and Hangul characters have alternate "halfwidth" or "fullwidth" forms that help text line up in a grid. If you don't need these width properties, you probably want to replace these characters with their standard form, which is what this function does. Note that this replaces the ideographic space, U+3000, with the ASCII space, U+20. >>> print(fix_character_width("ＬＯＵＤ　ＮＯＩＳＥＳ")) LOUD NOISES >>> print(fix_character_width("Ｕﾀｰï¾")) # this means "U-turn" Uターン """ return text.translate(WIDTH_MAP) def fix_line_breaks(text: str) -> str: r""" Convert all line breaks to Unix style. This will convert the following sequences into the standard \\n line break: - CRLF (\\r\\n), used on Windows and in some communication protocols - CR (\\r), once used on Mac OS Classic, and now kept alive by misguided software such as Microsoft Office for Mac - LINE SEPARATOR (\\u2028) and PARAGRAPH SEPARATOR (\\u2029), defined by Unicode and used to sow confusion and discord - NEXT LINE (\\x85), a C1 control character that is certainly not what you meant The NEXT LINE character is a bit of an odd case, because it usually won't show up if `fix_encoding` is also being run. \\x85 is very common mojibake for \\u2026, HORIZONTAL ELLIPSIS. >>> print(fix_line_breaks( ... "This string is made of two things:\u2029" ... "1. Unicode\u2028" ... "2. Spite" ... )) This string is made of two things: 1. Unicode 2. Spite For further testing and examples, let's define a function to make sure we can see the control characters in their escaped form: >>> def eprint(text): ... print(text.encode('unicode-escape').decode('ascii')) >>> eprint(fix_line_breaks("Content-type: text/plain\r\n\r\nHi.")) Content-type: text/plain\n\nHi. >>> eprint(fix_line_breaks("This is how Microsoft \r trolls Mac users")) This is how Microsoft \n trolls Mac users >>> eprint(fix_line_breaks("What is this \x85 I don't even")) What is this \n I don't even """ return ( text.replace("\r\n", "\n") .replace("\r", "\n") .replace("\u2028", "\n") .replace("\u2029", "\n") .replace("\u0085", "\n") ) SURROGATE_RE = re.compile("[\ud800-\udfff]") SURROGATE_PAIR_RE = re.compile("[\ud800-\udbff][\udc00-\udfff]") def convert_surrogate_pair(match: Match[str]) -> str: """ Convert a surrogate pair to the single codepoint it represents. This implements the formula described at: http://en.wikipedia.org/wiki/Universal_Character_Set_characters#Surrogates """ pair = match.group(0) codept = 0x10000 + (ord(pair[0]) - 0xD800) * 0x400 + (ord(pair[1]) - 0xDC00) return chr(codept) def fix_surrogates(text: str) -> str: """ Replace 16-bit surrogate codepoints with the characters they represent (when properly paired), or with \ufffd otherwise. >>> high_surrogate = chr(0xd83d) >>> low_surrogate = chr(0xdca9) >>> print(fix_surrogates(high_surrogate + low_surrogate)) 💩 >>> print(fix_surrogates(low_surrogate + high_surrogate)) �� The above doctest had to be very carefully written, because even putting the Unicode escapes of the surrogates in the docstring was causing various tools to fail, which I think just goes to show why this fixer is necessary. """ if SURROGATE_RE.search(text): text = SURROGATE_PAIR_RE.sub(convert_surrogate_pair, text) text = SURROGATE_RE.sub("\ufffd", text) return text def remove_control_chars(text: str) -> str: """ Remove various control characters that you probably didn't intend to be in your text. Many of these characters appear in the table of "Characters not suitable for use with markup" at http://www.unicode.org/reports/tr20/tr20-9.html. This includes: - ASCII control characters, except for the important whitespace characters (U+00 to U+08, U+0B, U+0E to U+1F, U+7F) - Deprecated Arabic control characters (U+206A to U+206F) - Interlinear annotation characters (U+FFF9 to U+FFFB) - The Object Replacement Character (U+FFFC) - The byte order mark (U+FEFF) However, these similar characters are left alone: - Control characters that produce whitespace (U+09, U+0A, U+0C, U+0D, U+2028, and U+2029) - C1 control characters (U+80 to U+9F) -- even though they are basically never used intentionally, they are important clues about what mojibake has happened - Control characters that affect glyph rendering, such as joiners and right-to-left marks (U+200C to U+200F, U+202A to U+202E) - Musical notation control characters (U+1D173 to U+1D17A) because wow if you're using those you probably have a good reason - Tag characters, because they are now used in emoji sequences such as "Flag of Wales" """ return text.translate(CONTROL_CHARS) def remove_bom(text: str) -> str: r""" Remove a byte-order mark that was accidentally decoded as if it were part of the text. >>> print(remove_bom(chr(0xfeff) + "Where do you want to go today?")) Where do you want to go today? """ return text.lstrip(chr(0xFEFF)) # Define a regex to match valid escape sequences in Python string literals. ESCAPE_SEQUENCE_RE = re.compile( r""" ( \\U........ # 8-digit hex escapes | \\u.... # 4-digit hex escapes | \\x.. # 2-digit hex escapes | \\[0-7]{1,3} # Octal escapes | \\N\{[^}]+\} # Unicode characters by name | \\[\\'"abfnrtv] # Single-character escapes )""", re.UNICODE | re.VERBOSE, ) def decode_escapes(text: str) -> str: r""" Decode backslashed escape sequences, including \\x, \\u, and \\U character references, even in the presence of other Unicode. This function has to be called specifically. It's not run automatically by ftfy, because escaped text is not necessarily a mistake, and there is no way to distinguish when it is. This is what Python's "string-escape" and "unicode-escape" codecs were meant to do, but in contrast, this actually works. It will decode the string exactly the same way that the Python interpreter decodes its string literals. >>> factoid = '\\u20a1 is the currency symbol for the colón.' >>> print(factoid[1:]) u20a1 is the currency symbol for the colón. >>> print(decode_escapes(factoid)) â‚¡ is the currency symbol for the colón. Even though Python itself can read string literals with a combination of escapes and literal Unicode -- you're looking at one right now -- the "unicode-escape" codec doesn't work on literal Unicode. (See http://stackoverflow.com/a/24519338/773754 for more details.) Instead, this function searches for just the parts of a string that represent escape sequences, and decodes them, leaving the rest alone. All valid escape sequences are made of ASCII characters, and this allows "unicode-escape" to work correctly. """ def decode_match(match: Match[str]) -> str: "Given a regex match, decode the escape sequence it contains." return codecs.decode(match.group(0), "unicode-escape") return ESCAPE_SEQUENCE_RE.sub(decode_match, text) # This regex implements an exception to restore_byte_a0, so we can decode the # very common mojibake of (for example) "à la mode" as "à la mode", not "àla # mode". # # If byte C3 appears with a single space after it -- most commonly this shows # up as " à " appearing as an entire word -- we'll insert \xa0 while keeping # the space. Without this change, we would decode "à" as the start of the next # word, such as "àla". It's almost always intended to be a separate word, as in # "à la", but when mojibake turns this into "Ã\xa0 la", the two kinds of spaces # get coalesced into "à la". # # We make exceptions for the Portuguese words "às", "àquele", "àquela", # "àquilo" and their plurals -- these are contractions of, for example, "a # aquele" and are very common. Note that the final letter is important to # distinguish this case from French "à quel point". # # Other instances in Portuguese, such as "àfrica", seem to be typos (intended # to be "Ãfrica" with the accent in the other direction). # # Unfortunately, "à" is a common letter in Catalan, and mojibake of words that # contain it will end up with inserted spaces. We can't do the right thing with # every word. The cost is that the mojibake text "fà cil" will be interpreted as # "fà cil", not "fàcil". A_GRAVE_WORD_RE = re.compile(b"\xc3 (?! |quele|quela|quilo|s )") def restore_byte_a0(byts: bytes) -> bytes: """ Some mojibake has been additionally altered by a process that said "hmm, byte A0, that's basically a space!" and replaced it with an ASCII space. When the A0 is part of a sequence that we intend to decode as UTF-8, changing byte A0 to 20 would make it fail to decode. This process finds sequences that would convincingly decode as UTF-8 if byte 20 were changed to A0, and puts back the A0. For the purpose of deciding whether this is a good idea, this step gets a cost of twice the number of bytes that are changed. This is used as a step within `fix_encoding`. """ byts = A_GRAVE_WORD_RE.sub(b"\xc3\xa0 ", byts) def replacement(match: Match[bytes]) -> bytes: "The function to apply when this regex matches." return match.group(0).replace(b"\x20", b"\xa0") return ALTERED_UTF8_RE.sub(replacement, byts) def replace_lossy_sequences(byts: bytes) -> bytes: """ This function identifies sequences where information has been lost in a "sloppy" codec, indicated by byte 1A, and if they would otherwise look like a UTF-8 sequence, it replaces them with the UTF-8 sequence for U+FFFD. A further explanation: ftfy can now fix text in a few cases that it would previously fix incompletely, because of the fact that it can't successfully apply the fix to the entire string. A very common case of this is when characters have been erroneously decoded as windows-1252, but instead of the "sloppy" windows-1252 that passes through unassigned bytes, the unassigned bytes get turned into U+FFFD (�), so we can't tell what they were. This most commonly happens with curly quotation marks that appear ``“ like this �``. We can do better by building on ftfy's "sloppy codecs" to let them handle less-sloppy but more-lossy text. When they encounter the character ``�``, instead of refusing to encode it, they encode it as byte 1A -- an ASCII control code called SUBSTITUTE that once was meant for about the same purpose. We can then apply a fixer that looks for UTF-8 sequences where some continuation bytes have been replaced by byte 1A, and decode the whole sequence as �; if that doesn't work, it'll just turn the byte back into � itself. As a result, the above text ``“ like this �`` will decode as ``“ like this �``. If U+1A was actually in the original string, then the sloppy codecs will not be used, and this function will not be run, so your weird control character will be left alone but wacky fixes like this won't be possible. This is used as a transcoder within `fix_encoding`. """ return LOSSY_UTF8_RE.sub("\ufffd".encode(), byts) def decode_inconsistent_utf8(text: str) -> str: """ Sometimes, text from one encoding ends up embedded within text from a different one. This is common enough that we need to be able to fix it. This is used as a transcoder within `fix_encoding`. """ def fix_embedded_mojibake(match: Match[str]) -> str: substr = match.group(0) # Require the match to be shorter, so that this doesn't recurse infinitely if len(substr) < len(text) and is_bad(substr): return ftfy.fix_encoding(substr) else: return substr return UTF8_DETECTOR_RE.sub(fix_embedded_mojibake, text) def _c1_fixer(match: Match[str]) -> str: return match.group(0).encode("latin-1").decode("sloppy-windows-1252") def fix_c1_controls(text: str) -> str: """ If text still contains C1 control characters, treat them as their Windows-1252 equivalents. This matches what Web browsers do. """ return C1_CONTROL_RE.sub(_c1_fixer, text) rspeer-python-ftfy-5340af6/ftfy/formatting.py000066400000000000000000000133721470703607600213450ustar00rootroot00000000000000""" This module provides functions for justifying Unicode text in a monospaced display such as a terminal. We used to have our own implementation here, but now we mostly rely on the 'wcwidth' library. """ from unicodedata import normalize from wcwidth import wcswidth, wcwidth from ftfy.fixes import remove_terminal_escapes def character_width(char: str) -> int: r""" Determine the width that a character is likely to be displayed as in a monospaced terminal. The width for a printable character will always be 0, 1, or 2. Nonprintable or control characters will return -1, a convention that comes from wcwidth. >>> character_width('車') 2 >>> character_width('A') 1 >>> character_width('\N{ZERO WIDTH JOINER}') 0 >>> character_width('\n') -1 """ return int(wcwidth(char)) def monospaced_width(text: str) -> int: r""" Return the number of character cells that this string is likely to occupy when displayed in a monospaced, modern, Unicode-aware terminal emulator. We refer to this as the "display width" of the string. This can be useful for formatting text that may contain non-spacing characters, or CJK characters that take up two character cells. Returns -1 if the string contains a non-printable or control character. >>> monospaced_width('ã¡ã‚ƒã¶å°è¿”ã—') 12 >>> len('ã¡ã‚ƒã¶å°è¿”ã—') 6 >>> monospaced_width('owl\N{SOFT HYPHEN}flavored') 11 >>> monospaced_width('example\x80') -1 A more complex example: The Korean word 'ibnida' can be written with 3 pre-composed characters or 7 jamo. Either way, it *looks* the same and takes up 6 character cells. >>> monospaced_width('입니다') 6 >>> monospaced_width('\u110b\u1175\u11b8\u1102\u1175\u1103\u1161') 6 The word "blue" with terminal escapes to make it blue still takes up only 4 characters, when shown as intended. >>> monospaced_width('\x1b[34mblue\x1b[m') 4 """ # NFC-normalize the text first, so that we don't need special cases for # Hangul jamo. # # Remove terminal escapes before calculating width, because if they are # displayed as intended, they will have zero width. return int(wcswidth(remove_terminal_escapes(normalize("NFC", text)))) def display_ljust(text: str, width: int, fillchar: str = " ") -> str: """ Return `text` left-justified in a Unicode string whose display width, in a monospaced terminal, should be at least `width` character cells. The rest of the string will be padded with `fillchar`, which must be a width-1 character. "Left" here means toward the beginning of the string, which may actually appear on the right in an RTL context. This is similar to the use of the word "left" in "left parenthesis". >>> lines = ['Table flip', '(╯°□°)╯︵ â”»â”â”»', 'ã¡ã‚ƒã¶å°è¿”ã—'] >>> for line in lines: ... print(display_ljust(line, 20, 'â–’')) Table flipâ–’â–’â–’â–’â–’â–’â–’â–’â–’â–’ (╯°□°)╯︵ â”»â”┻▒▒▒▒▒▒▒ ã¡ã‚ƒã¶å°è¿”ã—â–’â–’â–’â–’â–’â–’â–’â–’ This example, and the similar ones that follow, should come out justified correctly when viewed in a monospaced terminal. It will probably not look correct if you're viewing this code or documentation in a Web browser. """ if character_width(fillchar) != 1: raise ValueError("The padding character must have display width 1") text_width = monospaced_width(text) if text_width == -1: # There's a control character here, so just don't add padding return text padding = max(0, width - text_width) return text + fillchar * padding def display_rjust(text: str, width: int, fillchar: str = " ") -> str: """ Return `text` right-justified in a Unicode string whose display width, in a monospaced terminal, should be at least `width` character cells. The rest of the string will be padded with `fillchar`, which must be a width-1 character. "Right" here means toward the end of the string, which may actually be on the left in an RTL context. This is similar to the use of the word "right" in "right parenthesis". >>> lines = ['Table flip', '(╯°□°)╯︵ â”»â”â”»', 'ã¡ã‚ƒã¶å°è¿”ã—'] >>> for line in lines: ... print(display_rjust(line, 20, 'â–’')) â–’â–’â–’â–’â–’â–’â–’â–’â–’â–’Table flip â–’â–’â–’â–’â–’â–’â–’(╯°□°)╯︵ â”»â”â”» â–’â–’â–’â–’â–’â–’â–’â–’ã¡ã‚ƒã¶å°è¿”ã— """ if character_width(fillchar) != 1: raise ValueError("The padding character must have display width 1") text_width = monospaced_width(text) if text_width == -1: return text padding = max(0, width - text_width) return fillchar * padding + text def display_center(text: str, width: int, fillchar: str = " ") -> str: """ Return `text` centered in a Unicode string whose display width, in a monospaced terminal, should be at least `width` character cells. The rest of the string will be padded with `fillchar`, which must be a width-1 character. >>> lines = ['Table flip', '(╯°□°)╯︵ â”»â”â”»', 'ã¡ã‚ƒã¶å°è¿”ã—'] >>> for line in lines: ... print(display_center(line, 20, 'â–’')) â–’â–’â–’â–’â–’Table flipâ–’â–’â–’â–’â–’ â–’â–’â–’(╯°□°)╯︵ â”»â”┻▒▒▒▒ â–’â–’â–’â–’ã¡ã‚ƒã¶å°è¿”ã—â–’â–’â–’â–’ """ if character_width(fillchar) != 1: raise ValueError("The padding character must have display width 1") text_width = monospaced_width(text) if text_width == -1: return text padding = max(0, width - text_width) left_padding = padding // 2 right_padding = padding - left_padding return fillchar * left_padding + text + fillchar * right_padding rspeer-python-ftfy-5340af6/ftfy/py.typed000066400000000000000000000000001470703607600203000ustar00rootroot00000000000000rspeer-python-ftfy-5340af6/mypy.ini000066400000000000000000000007521470703607600173460ustar00rootroot00000000000000[mypy] files = ftfy check_untyped_defs = True disallow_any_generics = True disallow_incomplete_defs = False disallow_subclassing_any = True disallow_untyped_calls = False disallow_untyped_decorators = False disallow_untyped_defs = False no_implicit_optional = True no_implicit_reexport = False strict_equality = True warn_redundant_casts = True warn_return_any = True warn_unused_configs = True warn_unused_ignores = True python_version = 3.9 [mypy-wcwidth] ignore_missing_imports = True rspeer-python-ftfy-5340af6/notebook/000077500000000000000000000000001470703607600174635ustar00rootroot00000000000000rspeer-python-ftfy-5340af6/notebook/excel-export.png000077500000000000000000000453171470703607600226250ustar00rootroot00000000000000‰PNG  IHDR|+B¸´+tEXtSoftwareAdobe ImageReadyqÉe<"iTXtXML:com.adobe.xmp › –#PLTE:ÛÍÍÍYŽÐÍÞîÛÿÿÔèüáÇnŒŒÿÿÛ–ewååå[Ñ f¸yÀÁÿÿÓï´ÎåüP€»µÃѶÿÿëëëVåÛ:mÆúhgjÿÛÔÔÔŽf4†Å!rF?mغbÈâüèèèÌ«KÛÿÛf:óóÅû¸•ie•f¶ÿÀÀÀ¹¹µ’ž©ïïîÄàüìììñð«ÈµçðÖÿðä–®ÛðæÕ~¡¬ÿ0W€üüü¶f«««ðÓÜ:2±ý«­³_gÒ™þŒŽfÞÞÞ::VŸýññâ:ñññÐÅŠ   ¶ÿóë¡óÚ­«µÎóóóÃÁ¼úõ²::–¼Ûf: îÿáÿÿ9j56ff:¶:fz¯Ý`ªï9e‡Îðêëó332f—ÎÛ¶fùùùéÊõööÊÑÖo9x^¬ÛÛÙÙÙ—Äñ³…Hy‡ööö¬¤‹ÌŸhƒÇêìÓŽ´ýÙT9¾Æä´Ã»‘¥Ëßåæff9_:dÂÖ˜æm¦†êê§ãéífÙѽ©ö9:Æîìs°¶@j•¯’åü¶ÛêêÉÃNNfƒR­×Öêüóë´T—­,Q©:¨êéÖÛÙ]úö¼IøÀR _×Î ``I´] ¾®Ç[›ÀÀ’d­Ç~¾iá„'AÊb3}»óZwbøºŽµ|`Éýv‹··ëòaÇ7àKî·ÛS<¯q'‚oBcoºüx áp8hié¨êD¡ ÛŠø-môÑö4b¿QðÕ<»t]ñ'¾æÂÞÆ ¾Ö±iŸC|7f®tú¾¾ÂWZŸ¸ï«ÿê³…¯`j'°áý·»õòºÄ˲ž±­¾¦šŒ€dZÖ›`‰ >ŒkDq©úáš'óèÛžNÂ×ÝSÓDá+N+ø føŒH]^Á K„7QVtS—®-êX[„w£ÆŽª…?¬êìhðwT]» ì3Ø~ÑŒ›˜oë¸êŒßñ‹©êÄ—¿ž¾¦Ìëo÷p{aÓNñrÀ”â´ƒõùkk?\[„)¡4F|ÌQ…‚Wåý®9ªŽ„å=-:â›3g ˆ!¼ƒí§O¤ _á*œ¾8º qwä…Ö æÕ·»£ºy{zÃG)òô:Lvaa?ßíGÄ|(†’FÄ"ÚßQõ‰ ²ý¢ùŸa†\Nz4C§/ßîÀ‰e—MÈ,øÈ#Û]Z¿íß„PQákXâ§GÌ0ÃGšàCA´AàÏð øÔ°Ûà“ðÌhðm,¢a÷º"êù:C>rÞÁö‹f:"\î²°K†!4ìBŸàãó|å»@]Þ&vñ^äÑü4·ðð¿‚h±4Ð~ÙŒšò 99ƒ{øâhÀA½ËoÑw‚Ñ.Àçá GTß]>€ÏÓåµ@çÇðÁÚ.Àð|`À–ðE•TÑuZ4xh‹::µ¹›ªÑäÞÊ´ØPÄZ™_4UKGÕÊ` ø¬×p†Ï+™5˜ÄÉ"ø’åØûªÜƒÏ3™5˜¾Î4øœ$UUK×!L–¢W¡pØD‡`]U“R©äLc9 ®p ¹~Üâ‘L+HN È»ÃÂ]†õù%Ux©ÑX?„¿’Ë¿LC%ú|èˆÈF¦Jà‚«ªNv=t8ë9z ÓB§EyøÝA²ya×^R…uPõyTË ‡Û:¥ä…«YT7I—~ÉLpE„TøzØ!y&ÓâïL„6ÐéËdøIöuS¯­ÏÃßòuEè{µÀgê°‰™àŠ¾f==ÏdZ*|àù2>Iud¤ë!QFf¦¡²Âa‘ÓÇ$Vìz2ìz ÓRàƒ>_¦Íó9Iªˆ'B|ÒÛ ýšNr8ñ4\J%æù|Bm…ì ‚+6à@#Œ·x$Ó*RáƒÑnÁ—I‡Wƒ.Àç‘bº5k|`Àð|`Àðe¤Š4òe4û.¾û)ž.äQÙ_tUK§˜Iv2$Rü¦a˜6Éuø:¢Ë©¼Hñg˜0Îøœ%UdÉ€hS4½Ô¶O3¼îà•D äQ¹Ñçs–T‘FŽ‹¢—ò¯DuÞH¤p?D¹v%U†Tåiz)bŽG/$R˜lèôå|º¤Š £,z)Šíôy!‘*ÀŽ<_.ÀER¥y¾×'#æ~v õKH¤èiÐçˉy>GIUC˜‰šLz)r$‹z ‘¢§Áh7ËáKÜBÁþ¾} Ï]>€/1râ²è)G|ö^iF¸%€/ea àøÀ>0€¯ðE•Tá Ÿ@G„7ÒùÞYáÈGºlx"­MU¶ÃµöÚulâ—OÉ•^Ng„‹äãlMÄi̵ä2|Î’²Ð…ˆÀœ|ôQ4z‘} f™s>'I•€/"½BÀ⧤U°¾–}>GIUd#Ý©z3ÔÓà „™{r_ZÊ‚Ü»…ÿá6œ²t½ÁÒìÍž¯Í«"ÐéË5øÔÂlÊ‹³JŸ­òzP$<_.ÀçTøJ奢тéãè"ïŠBŸ/æù¢Hªðüžt@dÊχgø‚}T²ãº.­‚Ñn–×æäà ËðyoÒ*ÐT|`Àð|X†ÃGR^„|J‰?1ÅGó|;T”bbþ à‹áùH‰¡<¥ÄŸ„¬Pø%SÊ™f”Ì‘|qÁGJ ©%þ4ød†4>³ J‡f‡¾øú|ºú*Jüéðá´85ŽÁ~VýÏV%jïA)€/nøcJ‰?+|ÏY`ȵ`³ JÖÞƒ"T_Üð…JêòÔ&ø¦ª¥üÈ–á Daÿ üÀ/|‘º3fÕ–>ŸLME·â€<À|T§”ø3vƒ†LME· ”ôù¾8à#‹÷!¿RâOLï±U«ù ûÙ–a«‚RáƒÑ.ÀWŸ/!‹îÚ Ëðy_ôS …ø¼„ àøÀ>0€àË øÈ}b–Ò~ªŒ€Î½ð,ô|LaNJ%ùóPÅ*Æ2es‰y€Ü ò­Ì…”¸Üî[µn«;-I©øйÒÖìÅXÚʱóe/Lëd.|‘:'Ehtø,I©tøœËÚ‹±LlÅ<@Ù Ú ŸHPÀKû•.oakd µjDêNSR*,f¡™¨$|TE¯§žÇÅXF‡ªÃÂgÝúsˆ~@È·²¥ÏW0C¦+¨† ÓÒÓtU¼ÏÇô.b§š”Šæµjà ¿2ì’Ëò뱋©b,E‡…7©KñÅö€|+‹F»¥ ÔêjõyÌÉÑtU&Ï'vªI©d^+’2ˆÕª¤ú+v=y1>“¦ªÓ&ªZùV6Mµü¶ðézÓNsR*ž‰Jö˨þŠÃ'.æ:|àù2¾ÑŸòíÊ°Ûà³Â'vjI©xv+-½ZD$„Ä×ãçib¬¨ð9ò­ìpÐÚájE]9à°„]±Ó”” ‡Ý…,_•H™FôWôzòŸã ßÊ¢°k™Š»ÎÝ@¦]/¦£êcAAèòe|¡:w™~½èÕþúÜ…ùVöÀ‡ÓÀotÑñ¹}=°,÷|`Àð|žÀç†4ÊYEõÐCå:|nH£ì'†”F à³ƒÏ i”#|Ñ€â\‡Ï5i”Eîd–F à38Ü’FYäNfiè¡>3|îI£L‹þ¦ z(€ÏŸ{Ò¨DàÏ—Óð¹'r€ôPŸ|.J£t¹“4 ôPŸ_üæ¾4 º|_œæ¾4 ôP_Ò(€/¥ž,KàëJø²¾Þcü»VáÛ‰lBª àËnøÞ*ÛÕˆ¿g [—ß±ÆÆÖ”Û$žŽÀ:\ Ó,¡p8Jí?GÕ)•–Ü 4TI„oë€QóÈÝØxl§_SoMñ¾TÛ$G€øngU‹áAÈš‡J½æV’_ˬ1S ñ÷\\ÓÛÔ¨À7,ÌøÌy¨´›ÁaV9yðýìÂMò»ÖàûŸ4°I¢ÀQ@áé” V©ðI­•š2Jè­èç6b+^p):à>ú°ž–<ø®™:õG?úýª‡5¥#|DºBªaT .¬Rá“Z+%e”ÈTªf;°ˆ­Xu"ª!@Û $HžMÔàëMWÏGÃ$]=S„U>¹KM©BªÊ¢€¶b+^—U B§/ežoWFÀ§*ZÔ‚Ïf%ÞŒ •XÉ¢€ÜÛEƒ<_Òì­k®ù‘„¯8máSÃnƒÏ ŸÜ%RYùXµ@YÐ^le »ÐçK‘çÛ—¦}¾p9)Þ—‡·ƒ\Xep˜Â.‘]áÛÏDQ@;±•, "ô0ÚM¢ç‹ ¾Ürúi§– ø²¨0QtùÒËóm9M³-_4±h¨’êù~ >É>ãØi™XÆx>Åëøÿ €,[ú|§víÛ§öê/©çøÀ’êùN7¾óÖÓÁó¥Àóöê3ÝvZj<_TI. 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(get it with `pip install ftfy`)" ] }, { "cell_type": "code", "execution_count": 2, "id": "disabled-ridge", "metadata": { "slideshow": { "slide_type": "-" } }, "outputs": [ { "data": { "text/plain": [ "'merci de télécharger le plug-in'" ] }, "execution_count": 2, "metadata": {}, "output_type": "execute_result" } ], "source": [ "ftfy.fix_text(\"merci de télécharger le plug-in\")" ] }, { "cell_type": "markdown", "id": "focused-facial", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## The mascot of ftfy" ] }, { "cell_type": "code", "execution_count": 3, "id": "introductory-supervisor", "metadata": { "slideshow": { "slide_type": "-" } }, "outputs": [ { "data": { "text/plain": [ "\"(ง'̀⌣'Ì)ง\"" ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "ftfy.fix_text(\"(Ã\\xa0¸‡'̀⌣'ÃŒÂ\\x81)Ã\\xa0¸‡\")" ] }, { "cell_type": "markdown", "id": "following-apple", "metadata": { "slideshow": { "slide_type": "-" } }, "source": [ "This little guy, and in fact every example in this talk, comes from mojibake I found in the wild -- usually on Twitter or in the OSCAR Web Corpus.\n", "\n", "> **Side note**: there are a lot of tangents I would like to go off on, but this is a 10-minute talk and there's no time for tangents. So I'll be sprinkling in these side notes that I'll be skipping over as I present the talk.\n", ">\n", "> If you're interested in them, I suggest pausing the video, or reading the Jupyter Notebook version of this talk that I'll be linking later." ] }, { "cell_type": "markdown", "id": "concrete-consent", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "It used to be that 1 byte = 1 character, so there were at most 256 possible characters of text that could be shown on a computer. Here's some quick code to see them:" ] }, { "cell_type": "code", "execution_count": 4, "id": "horizontal-playlist", "metadata": { "slideshow": { "slide_type": "-" } }, "outputs": [], "source": [ "import blessings\n", "term = blessings.Terminal() # enable colorful text\n", "\n", "def displayable_codepoint(codepoint, encoding):\n", " char = bytes([codepoint]).decode(encoding, 'replace')\n", " if char == '�':\n", " return 'â–“â–“'\n", " elif not char.isprintable():\n", " return 'â–‘â–‘'\n", " else:\n", " return char\n", "\n", "def show_char_table(encoding):\n", " print(f\"encoding: {encoding}\\n 0 1 2 3 4 5 6 7 8 9 a b c d e f\\n\")\n", " for row in range(16):\n", " print(f\"{row*16:>02x}\", end=\" \")\n", " if row == 0:\n", " print(ftfy.formatting.display_center(term.green(\" control characters \"), 32, \"â–‘\"))\n", " elif row == 8 and encoding == 'latin-1':\n", " print(ftfy.formatting.display_center(term.green(\" here be dragons \"), 32, \"â–‘\"))\n", " else:\n", " for col in range(16):\n", " char = displayable_codepoint(row * 16 + col, encoding)\n", " print(f\"{char:<2}\", end=\"\")\n", " print()" ] }, { "cell_type": "markdown", "id": "worthy-broad", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "# ASCII\n", "\n", "- In the '60s, we agreed that 128 of these bytes should have well-defined meanings as characters of text. That's ASCII\n", "- It worked pretty well for monolingual Americans" ] }, { "cell_type": "code", "execution_count": 5, "id": "interim-attribute", "metadata": { "slideshow": { "slide_type": "-" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "encoding: ascii\n", " 0 1 2 3 4 5 6 7 8 9 a b c d e f\n", "\n", "00 â–‘â–‘â–‘â–‘â–‘â–‘\u001b[32m control characters \u001b[mâ–‘â–‘â–‘â–‘â–‘â–‘\n", "10 â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘\n", "20 ! \" # $ % & ' ( ) * + , - . / \n", "30 0 1 2 3 4 5 6 7 8 9 : ; < = > ? \n", "40 @ A B C D E F G H I J K L M N O \n", "50 P Q R S T U V W X Y Z [ \\ ] ^ _ \n", "60 ` a b c d e f g h i j k l m n o \n", "70 p q r s t u v w x y z { | } ~ â–‘â–‘\n", "80 â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“\n", "90 â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“\n", "a0 â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“\n", "b0 â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“\n", "c0 â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“\n", "d0 â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“\n", "e0 â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“\n", "f0 â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“â–“\n" ] } ], "source": [ "show_char_table(\"ascii\")" ] }, { "cell_type": "markdown", "id": "starting-velvet", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "- Basically everyone decided the other 128 bytes should be characters too\n", "- So people started talking about \"extended ASCII\" which means \"whatever my computer does with the other bytes\"\n", "- A different computer, in a different country or with a different OS, would do something different\n", "- This is how mojibake started\n", "\n", "Let's take a look at the different ways that ASCII got \"extended\", which are now called _codepages_." ] }, { "cell_type": "markdown", "id": "flying-oriental", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "Here's Latin-1. This encoding was used on a lot of UNIX-like systems before they switched to UTF-8, but probably the biggest reason you see it is that it's the first 256 characters of Unicode.\n", "\n", "If you don't know about decoding text and you just replace each byte with the Unicode character with the same number, Latin-1 is the encoding you get by accident." ] }, { "cell_type": "code", "execution_count": 6, "id": "european-ethics", "metadata": { "slideshow": { "slide_type": "-" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "encoding: latin-1\n", " 0 1 2 3 4 5 6 7 8 9 a b c d e f\n", "\n", "00 â–‘â–‘â–‘â–‘â–‘â–‘\u001b[32m control characters \u001b[mâ–‘â–‘â–‘â–‘â–‘â–‘\n", "10 â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘\n", "20 ! \" # $ % & ' ( ) * + , - . / \n", "30 0 1 2 3 4 5 6 7 8 9 : ; < = > ? \n", "40 @ A B C D E F G H I J K L M N O \n", "50 P Q R S T U V W X Y Z [ \\ ] ^ _ \n", "60 ` a b c d e f g h i j k l m n o \n", "70 p q r s t u v w x y z { | } ~ â–‘â–‘\n", "80 â–‘â–‘â–‘â–‘â–‘â–‘â–‘\u001b[32m here be dragons \u001b[mâ–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘\n", "90 â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘\n", "a0 ░░¡ ¢ £ ¤ Â¥ ¦ § ¨ © ª « ¬ ░░® ¯ \n", "b0 ° ± ² ³ ´ µ ¶ · ¸ ¹ º » ¼ ½ ¾ ¿ \n", "c0 À à Â Ã Ä Ã… Æ Ç È É Ê Ë ÃŒ à Î à \n", "d0 à Ñ Ã’ Ó Ô Õ Ö × Ø Ù Ú Û Ãœ à Þ ß \n", "e0 à á â ã ä Ã¥ æ ç è é ê ë ì í î ï \n", "f0 ð ñ ò ó ô õ ö ÷ ø ù ú û ü ý þ ÿ \n" ] } ], "source": [ "\n", "show_char_table('latin-1')" ] }, { "cell_type": "markdown", "id": "editorial-clinton", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "## Dragons? ðŸ‰\n", "\n", "I labeled rows 80 and 90 as \"here be dragons\" because they're full of control characters, but nobody ever agreed on what they do.\n", "\n", "Text that includes these codepoints can be shown as nearly anything, including little boxes, characters from the Windows-1252 character set, or just messing up your whole terminal window.\n", "\n", "> Side note: Control character 85 was an attempt to resolve the war between Unix line breaks (`0a`), Windows line breaks (`0d 0a`), and Mac Classic line breaks (`0d`), by introducing an _entirely new_ line break that wasn't even in ASCII.\n", ">\n", "> This is hilarious in retrospect. Clearly nobody would ever repeat that terrible idea, except the Unicode Consortium, who did it twice more.\n", ">\n", "> Anyway, ftfy has a function that turns all of these into byte `0a`." ] }, { "cell_type": "code", "execution_count": 7, "id": "baking-notebook", "metadata": { "slideshow": { "slide_type": "slide" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "encoding: windows-1252\n", " 0 1 2 3 4 5 6 7 8 9 a b c d e f\n", "\n", "00 â–‘â–‘â–‘â–‘â–‘â–‘\u001b[32m control characters \u001b[mâ–‘â–‘â–‘â–‘â–‘â–‘\n", "10 â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘\n", "20 ! \" # $ % & ' ( ) * + , - . / \n", "30 0 1 2 3 4 5 6 7 8 9 : ; < = > ? \n", "40 @ A B C D E F G H I J K L M N O \n", "50 P Q R S T U V W X Y Z [ \\ ] ^ _ \n", "60 ` a b c d e f g h i j k l m n o \n", "70 p q r s t u v w x y z { | } ~ â–‘â–‘\n", "80 € ▓▓‚ Æ’ „ … † ‡ ˆ ‰ Å  ‹ Å’ ▓▓Ž â–“â–“\n", "90 ▓▓‘ ’ “ †• – — Ëœ â„¢ Å¡ › Å“ ▓▓ž Ÿ \n", "a0 ░░¡ ¢ £ ¤ Â¥ ¦ § ¨ © ª « ¬ ░░® ¯ \n", "b0 ° ± ² ³ ´ µ ¶ · ¸ ¹ º » ¼ ½ ¾ ¿ \n", "c0 À à Â Ã Ä Ã… Æ Ç È É Ê Ë ÃŒ à Î à \n", "d0 à Ñ Ã’ Ó Ô Õ Ö × Ø Ù Ú Û Ãœ à Þ ß \n", "e0 à á â ã ä Ã¥ æ ç è é ê ë ì í î ï \n", "f0 ð ñ ò ó ô õ ö ÷ ø ù ú û ü ý þ ÿ \n" ] } ], "source": [ "show_char_table('windows-1252')" ] }, { "cell_type": "code", "execution_count": 8, "id": "affiliated-gentleman", "metadata": { "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "encoding: cp437\n", " 0 1 2 3 4 5 6 7 8 9 a b c d e f\n", "\n", "00 â–‘â–‘â–‘â–‘â–‘â–‘\u001b[32m control characters \u001b[mâ–‘â–‘â–‘â–‘â–‘â–‘\n", "10 â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘\n", "20 ! \" # $ % & ' ( ) * + , - . / \n", "30 0 1 2 3 4 5 6 7 8 9 : ; < = > ? \n", "40 @ A B C D E F G H I J K L M N O \n", "50 P Q R S T U V W X Y Z [ \\ ] ^ _ \n", "60 ` a b c d e f g h i j k l m n o \n", "70 p q r s t u v w x y z { | } ~ â–‘â–‘\n", "80 Ç ü é â ä à Ã¥ ç ê ë è ï î ì Ä Ã… \n", "90 É æ Æ ô ö ò û ù ÿ Ö Ãœ ¢ £ Â¥ ₧ Æ’ \n", "a0 á í ó ú ñ Ñ ª º ¿ ⌠¬ ½ ¼ ¡ « » \n", "b0 â–‘ â–’ â–“ │ ┤ â•¡ â•¢ â•– â•• â•£ â•‘ â•— â• â•œ â•› â” \n", "c0 â”” â”´ ┬ ├ ─ ┼ â•ž â•Ÿ â•š â•” â•© ╦ â•  ╠╬ ╧ \n", "d0 ╨ ╤ â•¥ â•™ ╘ â•’ â•“ â•« ╪ ┘ ┌ â–ˆ â–„ â–Œ â– â–€ \n", "e0 α ß Γ Ï€ Σ σ µ Ï„ Φ Θ Ω δ ∞ φ ε ∩ \n", "f0 ≡ ± ≥ ≤ ⌠ ⌡ ÷ ≈ ° ∙ · √ ⿠² â–  â–‘â–‘\n" ] } ], "source": [ "show_char_table('cp437')" ] }, { "cell_type": "code", "execution_count": 9, "id": "northern-string", "metadata": { "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "encoding: macroman\n", " 0 1 2 3 4 5 6 7 8 9 a b c d e f\n", "\n", "00 â–‘â–‘â–‘â–‘â–‘â–‘\u001b[32m control characters \u001b[mâ–‘â–‘â–‘â–‘â–‘â–‘\n", "10 â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘\n", "20 ! \" # $ % & ' ( ) * + , - . / \n", "30 0 1 2 3 4 5 6 7 8 9 : ; < = > ? \n", "40 @ A B C D E F G H I J K L M N O \n", "50 P Q R S T U V W X Y Z [ \\ ] ^ _ \n", "60 ` a b c d e f g h i j k l m n o \n", "70 p q r s t u v w x y z { | } ~ â–‘â–‘\n", "80 Ä Ã… Ç É Ñ Ö Ãœ á à â ä ã Ã¥ ç é è \n", "90 ê ë í ì î ï ñ ó ò ô ö õ ú ù û ü \n", "a0 † ° ¢ £ § • ¶ ß ® © â„¢ ´ ¨ ≠ Æ Ø \n", "b0 ∞ ± ≤ ≥ Â¥ µ ∂ ∑ ∠π ∫ ª º Ω æ ø \n", "c0 ¿ ¡ ¬ √ Æ’ ≈ ∆ « » … ░░À Ã Õ Å’ Å“ \n", "d0 – — “ †‘ ’ ÷ â—Š ÿ Ÿ ℠€ ‹ › ï¬ ï¬‚ \n", "e0 ‡ · ‚ „ ‰ Â Ê à Ë È à Î à Ì Ó Ô \n", "f0 â–‘â–‘Ã’ Ú Û Ù ı ˆ Ëœ ¯ ˘ Ë™ Ëš ¸ Ë Ë› ˇ \n" ] } ], "source": [ "show_char_table('macroman')" ] }, { "cell_type": "code", "execution_count": 10, "id": "intelligent-equipment", "metadata": { "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "encoding: windows-1251\n", " 0 1 2 3 4 5 6 7 8 9 a b c d e f\n", "\n", "00 â–‘â–‘â–‘â–‘â–‘â–‘\u001b[32m control characters \u001b[mâ–‘â–‘â–‘â–‘â–‘â–‘\n", "10 â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘â–‘\n", "20 ! \" # $ % & ' ( ) * + , - . / \n", "30 0 1 2 3 4 5 6 7 8 9 : ; < = > ? \n", "40 @ A B C D E F G H I J K L M N O \n", "50 P Q R S T U V W X Y Z [ \\ ] ^ _ \n", "60 ` a b c d e f g h i j k l m n o \n", "70 p q r s t u v w x y z { | } ~ â–‘â–‘\n", "80 Ђ Ѓ ‚ Ñ“ „ … † ‡ € ‰ Љ ‹ Њ ÐŒ Ћ Ð \n", "90 Ñ’ ‘ ’ “ †• – — â–“â–“â„¢ Ñ™ › Ñš Ñœ Ñ› ÑŸ \n", "a0 â–‘â–‘ÐŽ Ñž Ј ¤ Ò Â¦ § Р© Є « ¬ ░░® Ї \n", "b0 ° ± І Ñ– Ò‘ µ ¶ · Ñ‘ â„– Ñ” » ј Ð… Ñ• Ñ— \n", "c0 РБ Ð’ Г Д Е Ж З И Й К Л Ðœ РО П \n", "d0 Р С Т У Ф Ð¥ Ц Ч Ш Щ Ъ Ы Ь Э Ю Я \n", "e0 а б в г д е ж з и й к л м н о п \n", "f0 Ñ€ Ñ Ñ‚ у Ñ„ Ñ… ц ч ш щ ÑŠ Ñ‹ ÑŒ Ñ ÑŽ Ñ \n" ] } ], "source": [ "show_char_table(\"windows-1251\")" ] }, { "cell_type": "markdown", "id": "unique-airplane", "metadata": { "slideshow": { "slide_type": "skip" } }, "source": [ "## So text wasn't portable between different computers" ] }, { "cell_type": "code", "execution_count": 11, "id": "compound-columbia", "metadata": { "slideshow": { "slide_type": "skip" } }, "outputs": [ { "data": { "text/plain": [ "'Plus Ãa change, plus cíest la mÃme chose'" ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" } ], "source": [ "phrase = \"Plus ça change, plus c’est la même chose\"\n", "\n", "phrase.encode('windows-1252').decode('macroman')" ] }, { "cell_type": "markdown", "id": "identical-welsh", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## Vintage '90s mojibake\n", "\n", "Maybe you've seen a \".NFO\" file like this, telling you about the nice people who provided you with a DOS game for free:" ] }, { "cell_type": "code", "execution_count": 12, "id": "scenic-norman", "metadata": { "slideshow": { "slide_type": "-" } }, "outputs": [], "source": [ "crack_nfo = r\"\"\"\n", " ───── ────────────── ───────────────── ────────────── ─────────────── ────\n", " ▄█████▄ ▀█████▄ ████▄ ▀█████████ ████▄ ▄█████▄▀████▄ ▀██████▄ ▀████▄ ▄██▄\n", " ████████ █████▀ ██████ ▀████████ ██████ ▀███████▌██████ ███████ ████▄█████\n", " ███ ▀███▌█▀ ▄▄▄█▌▀█████ ▌████ ▄▄▄█▀â–████ ███▀▌▀█▌█▌ ███▌ ██▀â–████ ██████████\n", " ███ â–██▌▌ ████ ▌████ ████ ████ ████ ██▌ â–Œâ–▌█▌ ████ ██ ████ ██▌â–█▌â–███\n", " ███ ▄███▌▄▄ ████ ████ ████ ████ ▄████ ██▌ █▄▄█▌ ████ ██ ▄████ ██ â–█▌ ███\n", " ████████ ██ ████ ████ ████ ████ █████ ██▌ ▀▀██▌â–███▀ ██â–█████ ██ â–ˆ ███\n", " ██████▀ ▄▀▀ ████ ████ ████ ████ ▀████ ██▌███▄â–██▄▀▀ ▄███ ▀████ ██ â–„ ███\n", " ███▀ ▄▄██ ████ â–████ ████ ████ ████ ██▌â–â–██▌█▀██▄ ████ ████ ██ ███\n", " ███ █████▄ ▀▀█ ████▀ â–████ ░███ â–████ ███▄â–██▌█▌â–██▌â–███ â–███░ ██▌ r███\n", " ░██ █████████▄ â–██▌▄██████ ▒░██ █████ ███████▌█▌â–███ ███ ███░▒ ███ o██░\n", " â–’â–‘â–ˆ ▀███████▀ â–€ ███â–████▀ â–“â–’â–‘â–ˆ â–███▌ ▀██████â–█▌â–███ ███ â–█░▒▓ ██▌ y█░▒\n", " - ▌─────â–▀─ â–„â–„â–„â–ˆ ── ▀▀ ───── ────── ▀▀▀ ─ â–▀▀▀▀ ▀▀ ████ ──── ▀█▀ ─ â–€ ────■─\n", "\n", " ╓────────────────────────[ RELEASE INFORMATION ]───────────────────────╖\n", "╓────────────────────────────────────────────────────────────────────────────╖\n", "â•‘ -/\\- THE EVEN MORE INCREDIBLE MACHINE FOR *DOS* FROM SIERRA/DYNAMIX -/\\- â•‘\n", "╙────────────────────────────────────────────────────────────────────────────╜\n", "\"\"\"" ] }, { "cell_type": "markdown", "id": "graphic-treasurer", "metadata": { "slideshow": { "slide_type": "-" } }, "source": [ "> **Side note**: It's funny that most of the things we call \"ASCII art\" aren't ASCII." ] }, { "cell_type": "code", "execution_count": 13, "id": "valuable-ethernet", "metadata": { "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", " ÄÄÄÄÄ ÄÄÄÄÄÄÄÄÄÄÄÄÄÄ ÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄ ÄÄÄÄÄÄÄÄÄÄÄÄÄÄ ÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄ ÄÄÄÄ\n", " ÜÛÛÛÛÛÜ ßÛÛÛÛÛÜ ÛÛÛÛÜ ßÛÛÛÛÛÛÛÛÛ ÛÛÛÛÜ ÜÛÛÛÛÛÜßÛÛÛÛÜ ßÛÛÛÛÛÛÜ ßÛÛÛÛÜ ÜÛÛÜ\n", " ÛÛÛÛÛÛÛÛ ÛÛÛÛÛß ÛÛÛÛÛÛ ßÛÛÛÛÛÛÛÛ ÛÛÛÛÛÛ ßÛÛÛÛÛÛÛÃÛÛÛÛÛÛ ÛÛÛÛÛÛÛ ÛÛÛÛÜÛÛÛÛÛ\n", " ÛÛÛ ßÛÛÛÃÛß ÜÜÜÛÃßÛÛÛÛÛ ÃÛÛÛÛ ÜÜÜÛßÞÛÛÛÛ ÛÛÛßÃßÛÃÛà ÛÛÛà ÛÛßÞÛÛÛÛ ÛÛÛÛÛÛÛÛÛÛ\n", " ÛÛÛ ÞÛÛÃà ÛÛÛÛ ÃÛÛÛÛ ÛÛÛÛ ÛÛÛÛ ÛÛÛÛ ÛÛà ÃÞÃÛà ÛÛÛÛ ÛÛ ÛÛÛÛ ÛÛÃÞÛÃÞÛÛÛ\n", " ÛÛÛ ÜÛÛÛÃÜÜ ÛÛÛÛ ÛÛÛÛ ÛÛÛÛ ÛÛÛÛ ÜÛÛÛÛ ÛÛà ÛÜÜÛà ÛÛÛÛ ÛÛ ÜÛÛÛÛ ÛÛ ÞÛà ÛÛÛ\n", " ÛÛÛÛÛÛÛÛ ÛÛ ÛÛÛÛ ÛÛÛÛ ÛÛÛÛ ÛÛÛÛ ÛÛÛÛÛ ÛÛà ßßÛÛÃÞÛÛÛß ÛÛÞÛÛÛÛÛ ÛÛ Û ÛÛÛ\n", " ÛÛÛÛÛÛß Üßß ÛÛÛÛ ÛÛÛÛ ÛÛÛÛ ÛÛÛÛ ßÛÛÛÛ ÛÛÃÛÛÛÜÞÛÛÜßß ÜÛÛÛ ßÛÛÛÛ ÛÛ Ãœ ÛÛÛ\n", " ÛÛÛß ÜÜÛÛ ÛÛÛÛ ÞÛÛÛÛ ÛÛÛÛ ÛÛÛÛ ÛÛÛÛ ÛÛÃÞÞÛÛÃÛßÛÛÜ ÛÛÛÛ ÛÛÛÛ ÛÛ ÛÛÛ\n", " ÛÛÛ ÛÛÛÛÛÜ ßßÛ ÛÛÛÛß ÞÛÛÛÛ °ÛÛÛ ÞÛÛÛÛ ÛÛÛÜÞÛÛÃÛÃÞÛÛÃÞÛÛÛ ÞÛÛÛ° ÛÛà rÛÛÛ\n", " °ÛÛ ÛÛÛÛÛÛÛÛÛÜ ÞÛÛÃÜÛÛÛÛÛÛ ±°ÛÛ ÛÛÛÛÛ ÛÛÛÛÛÛÛÃÛÃÞÛÛÛ ÛÛÛ ÛÛÛ°± ÛÛÛ oÛÛ°\n", " ±°Û ßÛÛÛÛÛÛÛß ß ÛÛÛÞÛÛÛÛß ²±°Û ÞÛÛÛà ßÛÛÛÛÛÛÞÛÃÞÛÛÛ ÛÛÛ ÞÛ°±² ÛÛà yÛ°±\n", " - ÃÄÄÄÄÄÞßÄ ÜÜÜÛ ÄÄ ßß ÄÄÄÄÄ ÄÄÄÄÄÄ ßßß Ä Þßßßß ßß ÛÛÛÛ ÄÄÄÄ ßÛß Ä ß ÄÄÄÄÞ Ä\n", "\n", " ÖÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄ[ RELEASE INFORMATION ]ÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄ·\n", "ÖÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄ·\n", "º -/\\- THE EVEN MORE INCREDIBLE MACHINE FOR *DOS* FROM SIERRA/DYNAMIX -/\\- º\n", "ÓÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄÄĽ\n", "\n" ] } ], "source": [ "print(crack_nfo.encode('cp437').decode('windows-1252'))" ] }, { "cell_type": "markdown", "id": "alpha-ticket", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## Here comes UTF-8\n", "\n", "Instead of using the other 128 bytes for 128 more characters, what if we used them as a variable-length encoding for the whole rest of Unicode?\n", "\n", "There were other variable-length encodings, but UTF-8 is well-designed.\n", "\n", "- It leaves ASCII as ASCII\n", "- It doesn't overlap with ASCII _ever_: ASCII bytes always exclusively stand for the characters you expect\n", "- It's self-synchronizing, so you can tell where each character starts and ends even with no context\n", "\n", "Everyone recognized how good this idea was and switched every system to UTF-8. Encoding problems were solved forever, the end.\n", "\n", "I'm kidding. UTF-8 is great but not everyone adopted it, especially not Microsoft who had just done _all that work_ to switch Windows APIs to UTF-16, which nobody likes. So now we have more kinds of mojibake." ] }, { "cell_type": "code", "execution_count": 14, "id": "textile-abuse", "metadata": { "slideshow": { "slide_type": "slide" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "l = 6c\n", "’ = e2 80 99\n", "H = 48\n", "ô = c3 b4\n", "p = 70\n", "i = 69\n", "t = 74\n", "a = 61\n", "l = 6c\n" ] } ], "source": [ "# Code to look at the encoding of each character in UTF-8\n", "\n", "def show_utf8(text):\n", " for char in text:\n", " char_bytes = char.encode('utf-8')\n", " byte_sequence = ' '.join([f\"{byte:>02x}\" for byte in char_bytes])\n", " print(f\"{char} = {byte_sequence}\")\n", "\n", "text = \"l’Hôpital\"\n", "show_utf8(text)" ] }, { "cell_type": "markdown", "id": "worse-calculation", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## What happens when not everyone is on board with UTF-8" ] }, { "cell_type": "code", "execution_count": 15, "id": "adjustable-northeast", "metadata": { "slideshow": { "slide_type": "-" } }, "outputs": [ { "data": { "text/plain": [ "b'l\\xe2\\x80\\x99H\\xc3\\xb4pital'" ] }, "execution_count": 15, "metadata": {}, "output_type": "execute_result" } ], "source": [ "text.encode('utf-8')" ] }, { "cell_type": "code", "execution_count": 16, "id": "printable-practitioner", "metadata": { "slideshow": { "slide_type": "-" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "l’Hôpital\n" ] } ], "source": [ "print(text.encode('utf-8').decode('windows-1252'))" ] }, { "cell_type": "code", "execution_count": 17, "id": "eleven-radius", "metadata": { "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "l’Hôpital\n" ] } ], "source": [ "print(text.encode('utf-8').decode('windows-1252').encode('utf-8').decode('windows-1252'))" ] }, { "cell_type": "code", "execution_count": 18, "id": "sophisticated-volunteer", "metadata": { "slideshow": { "slide_type": "slide" } }, "outputs": [], "source": [ "EXAMPLES = [\n", " \"Merci de télécharger le plug-in\",\n", " \n", " \"The Mona Lisa doesn’t have eyebrows.\",\n", " \n", " \"I just figured out how to tweet emojis! â\\x9a½í\\xa0½í¸\\x80í\\xa0½í¸\\x81í\\xa0½í¸\"\n", " \"\\x82í\\xa0½í¸\\x86í\\xa0½í¸\\x8eí\\xa0½í¸\\x8eí\\xa0½í¸\\x8eí\\xa0½í¸\\x8e\",\n", "]" ] }, { "cell_type": "markdown", "id": "surrounded-makeup", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## We can recognize UTF-8 mojibake by its distinct patterns\n", "\n", "The pattern of bytes that makes UTF-8 self-synchronizing is a pattern we can recognize even via a different encoding.\n", "\n", "The example `doesn’t` is recognizable as UTF-8 / Windows-1252 mojibake, for example. `télécharger` is recognizable as UTF-8 / MacRoman mojibake.\n", "\n", "When we see such a pattern, we encode as the appropriate other encoding, then decode as UTF-8." ] }, { "cell_type": "code", "execution_count": 19, "id": "sunrise-engineering", "metadata": { "slideshow": { "slide_type": "-" } }, "outputs": [ { "data": { "text/plain": [ "'Merci de télécharger le plug-in'" ] }, "execution_count": 19, "metadata": {}, "output_type": "execute_result" } ], "source": [ "EXAMPLES[0].encode('macroman').decode('utf-8')" ] }, { "cell_type": "code", "execution_count": 20, "id": "portuguese-marble", "metadata": { "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "data": { "text/plain": [ "'Merci de télécharger le plug-in'" ] }, "execution_count": 20, "metadata": {}, "output_type": "execute_result" } ], "source": [ "_.encode('macroman').decode('utf-8')" ] }, { "cell_type": "code", "execution_count": 21, "id": "angry-floor", "metadata": { "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "data": { "text/plain": [ "'Merci de télécharger le plug-in'" ] }, "execution_count": 21, "metadata": {}, "output_type": "execute_result" } ], "source": [ "_.encode('macroman').decode('utf-8')" ] }, { "cell_type": "markdown", "id": "historic-cameroon", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## This is a job that the computer can do for us" ] }, { "cell_type": "code", "execution_count": 22, "id": "sunrise-madagascar", "metadata": { "slideshow": { "slide_type": "-" } }, "outputs": [], "source": [ "# Some code to format the output of ftfy\n", "\n", "from ftfy import fix_and_explain\n", "from pprint import pprint\n", "\n", "def show_explanation(text):\n", " print(f\"Original: {text}\")\n", " fixed, expl = fix_and_explain(text)\n", " print(f\" Fixed: {fixed}\\n\")\n", " pprint(expl)" ] }, { "cell_type": "code", "execution_count": 23, "id": "adjusted-civilization", "metadata": { "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Original: Merci de télécharger le plug-in\n", " Fixed: Merci de télécharger le plug-in\n", "\n", "[('encode', 'macroman'),\n", " ('decode', 'utf-8'),\n", " ('encode', 'macroman'),\n", " ('decode', 'utf-8'),\n", " ('encode', 'macroman'),\n", " ('decode', 'utf-8')]\n" ] } ], "source": [ "show_explanation(EXAMPLES[0])" ] }, { "cell_type": "code", "execution_count": 24, "id": "attended-soviet", "metadata": { "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Original: The Mona Lisa doesn’t have eyebrows.\n", " Fixed: The Mona Lisa doesn't have eyebrows.\n", "\n", "[('encode', 'sloppy-windows-1252'),\n", " ('decode', 'utf-8'),\n", " ('encode', 'sloppy-windows-1252'),\n", " ('decode', 'utf-8'),\n", " ('encode', 'sloppy-windows-1252'),\n", " ('decode', 'utf-8'),\n", " ('apply', 'uncurl_quotes')]\n" ] } ], "source": [ "show_explanation(EXAMPLES[1])" ] }, { "cell_type": "code", "execution_count": 25, "id": "yellow-running", "metadata": { "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Original: I just figured out how to tweet emojis! âš½í ½í¸€í ½í¸Â😂😆😎😎😎😎\n", " Fixed: I just figured out how to tweet emojis! ⚽😀ðŸ˜ðŸ˜‚😆😎😎😎😎\n", "\n", "[('encode', 'latin-1'), ('decode', 'utf-8-variants')]\n" ] } ], "source": [ "show_explanation(EXAMPLES[2])" ] }, { "cell_type": "markdown", "id": "laden-trick", "metadata": { "slideshow": { "slide_type": "-" } }, "source": [ "> **Side note**: ftfy adds encodings to Python like `sloppy-windows-1252` and `utf-8-variants` when it's imported. Python is very strict about encoding standards, but to deal with real mojibake, we have to be very loose about them. For example, this tweet requires us to recognize and simulate a broken implementation of UTF-8." ] }, { "cell_type": "markdown", "id": "indirect-grounds", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## Avoiding false positives\n", "\n", "ftfy only changes text that trips its mojibake-detector regex.\n", "\n", "Here are some examples that ftfy _could_ consider to be UTF-8 mojibake and try to \"fix\", but thankfully it doesn't:" ] }, { "cell_type": "code", "execution_count": 26, "id": "specific-buddy", "metadata": { "slideshow": { "slide_type": "-" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Con il corpo e lo spirito ammaccato,Ê come se nel cuore avessi un vetro conficcato.\n", "2012Ñ°\n", "TEM QUE SEGUIR, SDV SÓ…\n", "Join ZZAJÉ’s Official Fan List\n", "(-1/2)! = ù\n", "OK??:( `« ):\n" ] } ], "source": [ "NEGATIVE_EXAMPLES = [\n", " \"Con il corpo e lo spirito ammaccato,\\u00a0è come se nel cuore avessi un vetro conficcato.\",\n", " \"2012—∞\",\n", " \"TEM QUE SEGUIR, SDV SÓ…\",\n", " \"Join ZZAJÉ’s Official Fan List\",\n", " \"(-1/2)! = √π\",\n", " \"OK??:( `¬´ ):\"\n", "]\n", "\n", "for example in NEGATIVE_EXAMPLES:\n", " # ftfy doesn't \"fix\" these because they're not broken, but we can manually try fixes\n", " try:\n", " print(example.encode('sloppy-windows-1252').decode('utf-8'))\n", " except UnicodeError:\n", " print(example.encode('macroman').decode('utf-8'))\n", " assert ftfy.fix_encoding(example) == example" ] }, { "cell_type": "markdown", "id": "prompt-playing", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## The \"badness\" metric\n", "\n", "ftfy doesn't just look for UTF-8-like patterns of characters, it also makes sure they are unlikely to be the intended text.\n", "\n", "- Improbable combinations: accented letters next to currency signs, math symbols next to console line art\n", "- Lots of things involving capital à and Â, where it doesn't look like they're being used for real in a capitalized word\n", "- Unloved characters like `¶` PILCROW SIGN, `‡` DOUBLE DAGGER, `â—Š` LOZENGE next to other mojibake-related characters\n", "\n", "...and many more cases that it looks for in a big regex.\n", "\n", "Strings that match the regex can be re-decoded. Specific character sequences that match the regex can be reinterpreted even if they're inconsistent with the rest of the string.\n", "\n", "> **Side note**: We used to try to categorize every Unicode character to find \"badness\". Now we only categorize the 400 or so characters that actually can appear in UTF-8 mojibake, because ftfy wouldn't have a reason to replace the other characters anyway." ] }, { "cell_type": "code", "execution_count": 27, "id": "reserved-sheriff", "metadata": { "slideshow": { "slide_type": "skip" } }, "outputs": [], "source": [ "text = \"à perturber la réflexion des théologiens jusqu'à nos jours\"\n", "\n", "# We want to highlight the matches to this regular expression:\n", "ftfy.badness.BADNESS_RE.findall(text)\n", "\n", "# We'll just highlight it manually:\n", "term = blessings.Terminal()\n", "highlighted_text = term.on_yellow(\"à \") + \"perturber la r\" + term.on_yellow(\"é\") + \"flexion des th\" + term.on_yellow(\"é\") + \"ologiens jusqu'à nos jours\"" ] }, { "cell_type": "code", "execution_count": 28, "id": "developing-intervention", "metadata": { "slideshow": { "slide_type": "subslide" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\u001b[43mà \u001b[mperturber la r\u001b[43mé\u001b[mflexion des th\u001b[43mé\u001b[mologiens jusqu'à nos jours\n", "à perturber la réflexion des théologiens jusqu'à nos jours\n" ] } ], "source": [ "# Highlighted text shows matches for the 'badness' expression.\n", "# If we've confirmed from them that this is mojibake, and there's a consistent fix, we\n", "# can fix even text in contexts that were too unclear for the regex, such as the final Ã.\n", "\n", "print(highlighted_text)\n", "print(ftfy.fix_text(highlighted_text))" ] }, { "cell_type": "markdown", "id": "suspended-angel", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## ftfy is a hand-tuned heuristic. Why doesn't it use machine learning?\n", "\n", "I don't want ftfy to have false positives. It does, but every one of them is a bug I should fix. The actual rate of false positives should be once in several gigabytes of natural text.\n", "\n", "- Machine learning techniques aren't designed to have error rates this low\n", "- Machine learning would have a tendency to make its output look like what a language model \"expects\" even if the text didn't say that" ] }, { "cell_type": "markdown", "id": "fourth-pepper", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## Why does mojibake keep happening?\n", "\n", "The top 3 root causes:\n", "\n", "1. Microsoft Excel\n", "2. Programming language APIs that let you confuse bytes and text\n", "3. An outdated heuristic called `chardet`" ] }, { "cell_type": "markdown", "id": "outstanding-metropolitan", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## chardet\n", "\n", "`chardet` is a heuristic that takes in unlabeled bytes and tries to guess what encoding they're in. It was designed as part of Netscape Navigator in 1998, then ported to Python and other languages.\n", "\n", "It doesn't know that the correct answer to \"what encoding is this?\" is usually \"UTF-8\", and it thinks emoji are some kind of Turkish.\n", "\n", "> **Side note**: I recognize that we could be looking at ftfy the same way one day, particularly if I stop updating ftfy's heuristic. But chardet is fundamentally built on assumptions that aren't true anymore, and its original developer decided long ago that he'd written enough Python for a lifetime and he was going to do something else.\n", ">\n", "> It was an okay idea at the time, but we should have been able to replace it in two decades." ] }, { "attachments": { "excel-export.png": { "image/png": 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" } }, "cell_type": "markdown", "id": "reduced-needle", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## Microsoft Excel and the Three Decades of Backward Compatibility\n", "\n", "- Excel gives you lots of text formats you can export in, and _every one of them is wrong in 2021_\n", "- Even the one that says \"Unicode text\" is not what you want\n", "- The format of \"CSV\" depends on your OS, language, and region, like pre-Unicode days, and it will almost certainly mojibake your text\n", "\n", "I know you probably have to use Excel sometimes, but my recommendation is to make CSVs with LibreOffice or Google Spreadsheets.\n", "\n", "![excel-export.png](attachment:excel-export.png)" ] }, { "cell_type": "markdown", "id": "legendary-catholic", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## How to avoid mojibake\n", "\n", "The bad news is that English speakers can go for a long time without noticing mojibake.\n", "\n", "The good news is that emoji are *everywhere*, people expect them to work, and they quickly reveal if you're doing Unicode right.\n", "\n", "- Use lots of emoji! ðŸ‘💚🌠\n", "- Use non-ASCII text, such as emoji, in your code, your UIs, your test cases\n", "- This is similar to how Web frameworks used to pass around parameters like `&snowman=☃` and `&utf8=✔` to make sure browsers used UTF-8 and detect if they came out wrong\n", "\n", "> **Side note**: Services such as Slack and Discord don't use Unicode for their emoji. They use ASCII strings like `:green-heart:` and turn them into images. These won't help you test anything. I recommend getting emoji for your test cases by copy-pasting them from emojipedia.org.\n" ] }, { "cell_type": "markdown", "id": "sticky-reminder", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## Thanks!\n", "\n", "- ftfy documentation: https://ftfy.readthedocs.org\n", "- My e-mail address: rspeer@arborelia.net\n", "- I'm @r_speer on Twitter\n", "- I'll link from my Twitter to the notebook version of this talk\n", "- BTW, I'm on the job market right now\n", "\n", "Fonts I used for code in the presentation:\n", "\n", "- Input: Fantasque Sans Mono\n", "- Output: Fira Code" ] }, { "cell_type": "code", "execution_count": null, "id": "included-california", "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "celltoolbar": "Slideshow", "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.8.5" } }, "nbformat": 4, "nbformat_minor": 5 } rspeer-python-ftfy-5340af6/notes/000077500000000000000000000000001470703607600167735ustar00rootroot00000000000000rspeer-python-ftfy-5340af6/notes/mysteries.txt000066400000000000000000000010341470703607600215560ustar00rootroot00000000000000on https://www.nipette.com/article-6358031.html, a comment is signed 'MÃ\x83©Ã\x82¬Ã\x82¡nie'. This happens to be triple-UTF-8 for 'M鬡nie', but that's probably not the name they meant. What exactly did https://www.horoskopy-horoskop.cz/clanek/431-numerologicky-vyznam-jmena-jaromir mean when they said 'TadeÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂáÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂá' ? https://mtlurb.com/tags/arbres/ 'montrã©al' probably isn't in cp850, but what is it? rspeer-python-ftfy-5340af6/pyproject.toml000066400000000000000000000023231470703607600205570ustar00rootroot00000000000000[project] name = "ftfy" version = "6.3.1" description = "Fixes mojibake and other problems with Unicode, after the fact" authors = [{ name = "Robyn Speer", email = "rspeer@arborelia.net" }] license = { text = "Apache-2.0" } readme = "README.md" dependencies = ["wcwidth"] requires-python = ">=3.9" [project.scripts] ftfy = "ftfy.cli:main" [project.urls] Homepage = "https://ftfy.readthedocs.io/en/latest/" Documentation = "https://ftfy.readthedocs.io/en/latest/" Repository = "https://github.com/rspeer/python-ftfy" Issues = "https://github.com/rspeer/python-ftfy/issues/" Changelog = "https://github.com/rspeer/python-ftfy/blob/main/CHANGELOG.md" Blog = "https://posts.arborelia.net" [build-system] requires = ["hatchling"] build-backend = "hatchling.build" [tool.hatch.build.targets.sdist] exclude = ["^.github/", "scripts/", ".readthedocs.yaml", "notes/", "notebook/"] [tool.uv] dev-dependencies = [ "Sphinx >=7, <8", "furo >= 2024.7.18", "pytest >= 8.3.2, < 9", "ruff", ] [tool.ruff] exclude = ["badness.py", "notebook"] line-length = 100 target-version = "py39" [tool.ruff.lint] select = ["B", "F", "I", "N", "ANN", "UP"] ignore = ["ANN101", "ANN401"] [tool.ruff.lint.per-file-ignores] "tests/*" = ["ANN"] rspeer-python-ftfy-5340af6/pytest.ini000066400000000000000000000001511470703607600176710ustar00rootroot00000000000000[pytest] addopts = --doctest-modules --ignore=setup.py --ignore=specimens --ignore=scripts --ignore=docs rspeer-python-ftfy-5340af6/scripts/000077500000000000000000000000001470703607600173325ustar00rootroot00000000000000rspeer-python-ftfy-5340af6/scripts/char_data_table.py000066400000000000000000000046451470703607600227720ustar00rootroot00000000000000""" Used to regenerate character tables in ftfy/chardata.py with explanatory comments. """ import unicodedata from dataclasses import dataclass from ftfy.chardata import UTF8_CLUES @dataclass class CharData: name: str codept: int encodings: list[tuple[str, int]] def sort_key(self) -> tuple[int, str, int]: if self.name.startswith("LATIN "): return (0, self.name, self.codept) else: return (1, "", self.codept) SAFE_ENCODINGS = [ "latin-1", "windows-1252", "windows-1251", "windows-1250", "windows-1253", "windows-1254", "windows-1257", ] def show_char_table(chars: str, byte_min: int = 0, byte_max: int = 0xFF) -> None: char_data: list[CharData] = [] for char in chars: name = unicodedata.name(char, "") codept = ord(char) encodings: list[tuple[str, int]] = [] for encoding in SAFE_ENCODINGS: try: encoded: bytes = char.encode(encoding) byte: int = encoded[0] encodings.append((encoding, byte)) except UnicodeEncodeError: pass if encodings: char_data.append(CharData(name=name, codept=codept, encodings=encodings)) else: print(f"No relevant encoding for {codept=}, {name=}") char_data.sort(key=CharData.sort_key) for cd in char_data: encoding_info: list[str] = [] for encoding, byte in cd.encodings: if byte_min <= byte <= byte_max: info_str = f"{encoding}:{byte:X}" encoding_info.append(info_str) if encoding_info: encoding_explanation = encoding_info[0] else: encoding_explanation = "???" print(f' "\\N{{{cd.name}}}" # {encoding_explanation}') def run() -> None: print("# utf8_first_of_2") show_char_table(UTF8_CLUES["utf8_first_of_2"], 0xC2, 0xDF) print("# utf8_first_of_3") show_char_table(UTF8_CLUES["utf8_first_of_3"], 0xE0, 0xEF) print("# utf8_first_of_4") show_char_table(UTF8_CLUES["utf8_first_of_4"], 0xF0, 0xF3) print("# utf8_continuation") print(r' "\x80-\xbf"') show_char_table(UTF8_CLUES["utf8_continuation"][3:], 0x80, 0xBF) print("# utf8_continuation_strict") print(r' "\x80-\xbf"') show_char_table(UTF8_CLUES["utf8_continuation_strict"][3:], 0x80, 0xBF) if __name__ == "__main__": run() rspeer-python-ftfy-5340af6/tests/000077500000000000000000000000001470703607600170055ustar00rootroot00000000000000rspeer-python-ftfy-5340af6/tests/__init__.py000066400000000000000000000000001470703607600211040ustar00rootroot00000000000000rspeer-python-ftfy-5340af6/tests/face.txt000066400000000000000000000000431470703607600204410ustar00rootroot00000000000000ââ€â€™(⌣˛⌣)ââ€Å½ rspeer-python-ftfy-5340af6/tests/test_bytes.py000066400000000000000000000031361470703607600215470ustar00rootroot00000000000000import pytest from ftfy import guess_bytes from ftfy.bad_codecs.utf8_variants import IncrementalDecoder TEST_ENCODINGS = ["utf-16", "utf-8", "sloppy-windows-1252"] TEST_STRINGS = [ "Renée\nFleming", "Noël\nCoward", "Señor\nCardgage", "€ • £ • Â¥", "¿Qué?", ] @pytest.mark.parametrize("string", TEST_STRINGS) def test_guess_bytes(string): for encoding in TEST_ENCODINGS: result_str, result_encoding = guess_bytes(string.encode(encoding)) assert result_str == string assert result_encoding == encoding if "\n" in string: old_mac_bytes = string.replace("\n", "\r").encode("macroman") result_str, result_encoding = guess_bytes(old_mac_bytes) assert result_str == string.replace("\n", "\r") def test_guess_bytes_null(): bowdlerized_null = b"null\xc0\x80separated" result_str, result_encoding = guess_bytes(bowdlerized_null) assert result_str == "null\x00separated" assert result_encoding == "utf-8-variants" def test_incomplete_sequences(): test_bytes = b"surrogates: \xed\xa0\x80\xed\xb0\x80 / null: \xc0\x80" test_string = "surrogates: \U00010000 / null: \x00" # Test that we can feed this string to decode() in multiple pieces, and no # matter where the break between those pieces is, we get the same result. for split_point in range(len(test_string) + 1): left = test_bytes[:split_point] right = test_bytes[split_point:] decoder = IncrementalDecoder() got = decoder.decode(left, final=False) got += decoder.decode(right) assert got == test_string rspeer-python-ftfy-5340af6/tests/test_cases.json000066400000000000000000001375021470703607600220450ustar00rootroot00000000000000[ { "label": "Messy language names: Czech", "comment": "This and several following examples came from the same language selector", "original": "ÄŒeÅ¡tina", "fixed": "ÄŒeÅ¡tina", "expect": "pass" }, { "label": "Messy language names: Gaelic", "comment": "note that if U+A0 is replaced by a space, it comes out slightly incorrectly as 'Gà idhlig'", "original": "GÃ\u00a0idhlig", "fixed": "Gàidhlig", "expect": "pass" }, { "label": "Messy language names: Lithuanian", "original": "Lietuvių", "fixed": "Lietuvių", "expect": "pass" }, { "label": "Messy language names: Slovak", "original": "Sloven�ina", "fixed": "Sloven�ina", "expect": "pass" }, { "label": "Messy language names: Vietnamese", "original": "Tiếng Việt", "fixed": "Tiếng Việt", "expect": "pass" }, { "label": "Messy language names: Greek", "original": "Ελληνικά", "fixed": "Ελληνικά", "expect": "pass" }, { "label": "Messy language names: Bulgarian", "original": "ñъûóðрÑ�úø õ÷øú", "fixed": "българ�ки език", "expect": "pass" }, { "label": "Messy language names: Russian", "original": "à уÑ�Ñ�úøù", "fixed": "Ру��кий", "expect": "pass" }, { "label": "Messy language names: Serbian [Cyrillic]", "original": "CрÿÑ�úø [ћøрøûøцþü]", "fixed": "Cрп�ки [ћирилицом]", "expect": "pass" }, { "label": "Messy language names: Hebrew", "original": "עברית", "fixed": "עברית", "expect": "pass" }, { "label": "Messy language names: Russian", "original": "à уÑ�Ñ�úøù", "fixed": "Ру��кий", "expect": "pass" }, { "label": "Messy language names: Hindi", "comment": "My terminal has difficulty rendering the mostly-fixed text", "original": "हिन�दी", "fixed": "\u0939\u093f\u0928\ufffd\u0926\u0940", "expect": "pass" }, { "label": "Messy language names: Tamil", "comment": "My terminal has difficulty rendering the mostly-fixed text", "original": "தமிழ�", "fixed": "\u0ba4\u0bae\u0bbf\u0bb4\ufffd", "expect": "pass" }, { "label": "Messy language names: Thai", "original": "ภาษาไทย", "fixed": "ภาษาไทย", "expect": "pass" }, { "label": "Messy language names: Simplified Chinese", "original": "简体ä¸\u00adæ–‡", "fixed": "简体中文", "expect": "pass" }, { "label": "Messy language names: Traditional Chinese", "original": "æ\u00ad£é«â€Ã¤Â¸\u00adæ–‡", "fixed": "正體中文", "expect": "pass" }, { "label": "Messy language names: Japanese", "original": "日本語", "fixed": "日本語", "expect": "pass" }, { "label": "Messy language names: Korean", "original": "í•œêµ\u00adì–´", "fixed": "한국어", "expect": "pass" }, { "label": "Synthetic: Messy language name in cp437: Czech", "original": "─îeština", "fixed": "ÄŒeÅ¡tina", "expect": "pass" }, { "label": "Synthetic: Messy language name in cp437: Vietnamese", "original": "Tiß║â”ng Việt", "fixed": "Tiếng Việt", "expect": "pass" }, { "label": "Low-codepoint emoji", "comment": "From the ancient era before widespread emoji support on Twitter", "original": "He's Justinâ\u009d¤", "fixed": "He's Justinâ¤", "expect": "pass" }, { "label": "UTF-8 / MacRoman mix-up about smurfs", "original": "Le Schtroumpf Docteur conseille g√¢teaux et baies schtroumpfantes pour un régime équilibré.", "fixed": "Le Schtroumpf Docteur conseille gâteaux et baies schtroumpfantes pour un régime équilibré.", "expect": "pass" }, { "label": "Checkmark that almost looks okay as mojibake", "original": "✆No problems", "fixed": "✔ No problems", "expect": "pass" }, { "label": "UTF-8 / Windows-1251 Russian mixup about futbol", "original": "РґРѕСЂРѕРіРµ Р\u0098Р·-РїРѕРґ #футбол", "fixed": "дороге Из-под #футбол", "expect": "pass" }, { "label": "Latin-1 / Windows-1252 mixup in German", "original": "\u0084Handwerk bringt dich überall hin\u0093: Von der YOU bis nach Monaco", "fixed-encoding": "„Handwerk bringt dich überall hin“: Von der YOU bis nach Monaco", "fixed": "\"Handwerk bringt dich überall hin\": Von der YOU bis nach Monaco", "expect": "pass" }, { "label": "Latin-1 / Windows-1252 mixup of the replacement character", "original": "Some comments may be republished on the website or in the newspaper � email addresses will not be published.", "fixed": "Some comments may be republished on the website or in the newspaper � email addresses will not be published.", "expect": "pass" }, { "label": "CESU-8 / Windows-1252 emoji", "original": "Hi guys í ½í¸\u008d", "fixed": "Hi guys ðŸ˜", "expect": "pass" }, { "label": "CESU-8 / Latin-1 emoji", "original": "hihi RT username: â\u0098ºí ½í¸\u0098", "fixed": "hihi RT username: ☺😘", "expect": "pass" }, { "label": "Latin-1 / Windows-1252 mixup in Turkish", "original": "Beta Haber: Hırsızı Büyü Korkuttu", "fixed": "Beta Haber: Hırsızı Büyü Korkuttu", "expect": "pass" }, { "label": "Latin-1 / Windows-1252 mixup in Ä°stanbul (issue #192)", "original": "Ä°stanbul", "fixed": "Ä°stanbul", "expect": "pass" }, { "label": "Latin-1 / Windows-1252 mixup in German (issue #188)", "original": "RUF MICH ZURÃœCK", "fixed": "RUF MICH ZURÃœCK", "expect": "pass" }, { "label": "Latin-1 / Windows-1252 mixup in RÄ«ga (issue #192)", "original": "RÄ«ga", "fixed": "RÄ«ga", "expect": "pass" }, { "label": "UTF-8 / Windows-1251 mixed up twice in Russian", "original": "РїСЂРёСРÐтности. РІСњВ¤", "fixed": "приÑтноÑти. â¤", "expect": "pass" }, { "label": "UTF-8 / Windows-1252 mixed up twice in Malay", "original": "Kayanya laptopku error deh, soalnya tiap mau ngetik deket-deket kamu font yg keluar selalu Times New “ Romanceâ€Â\u009d.", "fixed-encoding": "Kayanya laptopku error deh, soalnya tiap mau ngetik deket-deket kamu font yg keluar selalu Times New “ Romanceâ€.", "fixed": "Kayanya laptopku error deh, soalnya tiap mau ngetik deket-deket kamu font yg keluar selalu Times New \" Romance\".", "expect": "pass" }, { "label": "UTF-8 / Windows-1252 mixed up twice in naming Iggy Pop", "original": "Iggy Pop (né Jim Osterberg)", "fixed": "Iggy Pop (né Jim Osterberg)", "expect": "pass" }, { "label": "Left quote is UTF-8, right quote is Latin-1, both encoded in Windows-1252", "original": "Direzione Pd, ok â\u0080\u009csenza modifiche\u0094 all'Italicum.", "fixed-encoding": "Direzione Pd, ok “senza modifiche†all'Italicum.", "fixed": "Direzione Pd, ok \"senza modifiche\" all'Italicum.", "expect": "pass" }, { "label": "UTF-8 / sloppy Windows-1252 mixed up twice in a triumphant emoticon", "original": "selamat berpuasa sob (Ã\u00a0¸‡'̀⌣'ÃŒÂ\u0081)Ã\u00a0¸‡", "fixed": "selamat berpuasa sob (ง'̀⌣'Ì)ง", "expect": "pass" }, { "label": "UTF-8 / Windows-1252 mixed up three times", "original": "The Mona Lisa doesn’t have eyebrows.", "fixed-encoding": "The Mona Lisa doesn’t have eyebrows.", "fixed": "The Mona Lisa doesn't have eyebrows.", "expect": "pass" }, { "label": "UTF-8 / Codepage 437 mixup in Russian", "original": "#╨â”╤Ç╨░╨▓╨╕╨╗╤î╨╜╨╛╨╡╨â”итание", "fixed": "#правильноепитание", "expect": "pass" }, { "label": "UTF-8 / Windows-1252 mixup in French", "original": "Hôtel de Police", "fixed": "Hôtel de Police", "expect": "pass" }, { "label": "UTF-8 / Windows-1250 mixup in French", "original": "Liège Avenue de l'HĂ´pital", "fixed": "Liège Avenue de l'Hôpital", "expect": "pass" }, { "label": "UTF-8 / Windows-1252 mixup in Vietnamese", "original": "Tại sao giá hạt sầu riêng lại lên giá?", "fixed": "Tại sao giá hạt sầu riêng lại lên giá?", "expect": "pass" }, { "label": "Negative: using diaereses as quotation marks in Greek", "original": "Η ¨ανατÏοφή¨ δυστυχώς από τους Ï€Ïοπονητές", "fixed": "Η ¨ανατÏοφή¨ δυστυχώς από τους Ï€Ïοπονητές", "expect": "pass" }, { "label": "Science! Mid-word Greek letter gets fixed correctly", "original": "Humanized HLA-DR4.RagKO.IL2RγcKO.NOD (DRAG) mice sustain the complex vertebrate life cycle of Plasmodium falciparum malaria.", "fixed": "Humanized HLA-DR4.RagKO.IL2RγcKO.NOD (DRAG) mice sustain the complex vertebrate life cycle of Plasmodium falciparum malaria.", "expect": "pass" }, { "label": "Negative: More science! Don't fix a multiplication symbol in quotes", "original": "higher values (“+†and “׆curves) in the superficial region", "fixed-encoding": "higher values (“+†and “׆curves) in the superficial region", "fixed": "higher values (\"+\" and \"×\" curves) in the superficial region", "expect": "pass" }, { "label": "For goodness' sake. We can come close to fixing this, but fail in the last step", "original": "ItÃ?墉?‰?¢s classic. ItÃ?墉?‰?¢s epic. ItÃ?墉?‰?¢s ELIZABETH BENNET for goodnessÃ?墉?‰?¢ sake!", "fixed": "It�¢��s classic. It�¢��s epic. It�¢��s ELIZABETH BENNET for goodness�¢�� sake!", "expect": "pass" }, { "label": "lossy UTF-8 / Windows-1250 mixup in Spanish", "original": "Europa, Asia, �frica, Norte, AmĂ©rica Central y del Sur, Australia y OceanĂ­a", "fixed": "Europa, Asia, �frica, Norte, América Central y del Sur, Australia y Oceanía", "expect": "pass" }, { "label": "UTF-8 / sloppy Windows-1250 mixup in English", "original": "It was named „scars´ stones“ after the rock-climbers who got hurt while climbing on it.", "fixed-encoding": "It was named\u00a0„scars´ stones“ after the rock-climbers who got hurt while climbing on it.", "fixed": "It was named\u00a0\"scars´ stones\" after the rock-climbers who got hurt while climbing on it.", "expect": "pass" }, { "label": "The same text as above, but as a UTF-8 / ISO-8859-2 mixup", "original": "It was namedÂ\u00a0â\u0080\u009escars´ stonesâ\u0080\u009c after the rock-climbers who got hurt while climbing on it.", "fixed-encoding": "It was named\u00a0„scars´ stones“ after the rock-climbers who got hurt while climbing on it.", "fixed": "It was named\u00a0\"scars´ stones\" after the rock-climbers who got hurt while climbing on it.", "expect": "pass" }, { "label": "UTF-8 / ISO-8859-2 mixup in Czech", "comment": "This says 'I've had enough of the third millennium', which is great because it involves software decisions made in the second", "original": "MÄ‚Ä„m dost tĹ\u0099etÄ‚\u00adho tisÄ‚\u00adciletÄ‚\u00ad", "fixed": "Mám dost tÅ™etího tisíciletí", "expect": "pass" }, { "label": "UTF-8 / Windows-1252 mixup in mixed French and Arabic", "comment": "A difficult test case that can depend on the order that steps are applied", "original": "À tous mes frères et soeurs dans la syrienneté comme dans l’humanité, sans discrimination aucune, je vous souhaite bonne fête عيد سعيد.Que la paix, la liberté, l’égalité, la fraternité et la dignité soient avec vous.Pardonnez ce ton un peu ecclésiastique.", "fixed-encoding": "À tous mes frères et soeurs dans la syrienneté comme dans l’humanité, sans discrimination aucune, je vous souhaite bonne fête عيد سعيد.Que la paix, la liberté, l’égalité, la fraternité et la dignité soient avec vous.Pardonnez ce ton un peu ecclésiastique.", "fixed": "À tous mes frères et soeurs dans la syrienneté comme dans l'humanité, sans discrimination aucune, je vous souhaite bonne fête عيد سعيد.Que la paix, la liberté, l'égalité, la fraternité et la dignité soient avec vous.Pardonnez ce ton un peu ecclésiastique.", "expect": "pass" }, { "label": "Synthetic: Incomplete UTF-8 / Windows-1252 mixup in Arabic", "comment": "I find text like this in OSCAR a fair amount, but couldn't isolate a good example that tested digits. The intended text means 'more than 100 countries'.", "original": "أكثر من Ù Ù Ù¡ بلد", "fixed": "أكثر من ٠٠١ بلد", "expect": "fail" }, { "label": "UTF-8 / sloppy Windows-1250 mixup in Romanian", "original": "vedere Ă®nceĹÅoĹźatÄ\u0083", "fixed": "vedere înceÅ£oÅŸată", "expect": "pass" }, { "label": "UTF-8 / Windows-1250 mixup in Slovak", "original": "NapÄ‚\u00adšte nám !", "fixed": "Napíšte nám !", "expect": "pass" }, { "label": "UTF-8 / Windows-1252 mixup in Spanish", "original": "DOS AÑOS", "fixed": "DOS AÑOS", "expect": "pass" }, { "label": "UTF-8 / Windows-1252 followed by UTF-8 / Windows-1251", "original": "a bigger-than-expected £5.8bn rights issue to satisfy the new banking regulator", "fixed": "a bigger-than-expected £5.8bn rights issue to satisfy the new banking regulator", "expect": "pass" }, { "label": "fancy Unicode crossing-out, but mojibaked", "original": "hotel $49 $̶6̶3̶ updated 2018", "fixed": "hotel $49 $̶6̶3̶ updated 2018", "expect": "pass" }, { "label": "A face with UTF-8 / sloppy Windows-1252 mixed up twice", "original": "ââ€\u009d’(⌣˛⌣)ââ€\u009dŽ", "fixed": "â”’(⌣˛⌣)┎", "expect": "pass" }, { "label": "We can mostly decode the face above when we lose the character U+009D", "original": "�(⌣˛⌣)�", "fixed": "�(⌣˛⌣)�", "expect": "pass" }, { "label": "Lossy decoding can have plain ASCII question marks, as well", "original": "The ICR has been upgraded to “bb+â€? from “bbâ€?", "fixed-encoding": "The ICR has been upgraded to “bb+� from “bb�", "fixed": "The ICR has been upgraded to \"bb+� from \"bb�", "expect": "pass" }, { "label": "CESU-8 / Latin-1 mixup over several emoji", "comment": "You tried", "original": "I just figured out how to tweet emojis! â\u009a½í\u00a0½í¸\u0080í\u00a0½í¸\u0081í\u00a0½í¸\u0082í\u00a0½í¸\u0086í\u00a0½í¸\u008eí\u00a0½í¸\u008eí\u00a0½í¸\u008eí\u00a0½í¸\u008e", "fixed": "I just figured out how to tweet emojis! ⚽😀ðŸ˜ðŸ˜‚😆😎😎😎😎", "expect": "pass" }, { "label": "Two levels of inconsistent mojibake", "comment": "The en-dash was mojibaked in UTF-8 / Windows-1252 as three characters, two of which were mojibaked again as Windows-1252 / Latin-1, and the third of which was mojibaked as UTF-8 / Latin-1. Unfortunately, if we fix this, we leave ourselves room to greedily 'decode' random Han characters in complex Latin-alphabet mojibake", "original": "Arsenal v Wolfsburg: pre-season friendly â\u0080â\u0080\u009c live!", "fixed": "Arsenal v Wolfsburg: pre-season friendly – live!", "expect": "fail" }, { "label": "An absolutely hopeless garble", "comment": "If we try too hard to decode this, we'll recursively apply `decode_inconsistent_utf8` until the characters turn into random Han and katakana characters.", "original": "ã†â€™ãƒâ€ ã¢â‚¬â„¢ãƒæ’ã‚â¢ãƒâ¢ã¢â‚¬å¡ã‚â¬ãƒâ€šã‚â", "fixed-encoding": "ã†â€™ãƒâ€ ã¢â‚¬â„¢ãƒæ’ã‚â¢ãƒâ¢ã¢â‚¬å¡ã‚â¬ãƒâ€šã‚â", "fixed": "ã†â€™ãƒâ€ ã¢â'‰\"¢ãƒæ'ã'â¢ãƒâ¢ã¢â'¬å¡ã'â¬ãƒâ€šã'â", "expect": "pass" }, { "label": "Inconsistent UTF-8 / Latin-1 mojibake", "original": "Ecuadorâ\u0080\u0099s â\u0080\u0098purely political decision on Assangeâ\u0080\u0099 is likely result of â\u0080\u0098US pressureâ\u0080\u0099\u0085", "fixed-encoding": "Ecuador’s ‘purely political decision on Assange’ is likely result of ‘US pressure’…", "fixed": "Ecuador's 'purely political decision on Assange' is likely result of 'US pressure'…", "expect": "pass" }, { "label": "Inconsistent UTF-8 / Latin-1 mojibake with an ellipsis from the Windows-1252 character set", "original": "Ecuadorâ\u0080\u0099s â\u0080\u0098purely political decision on Assangeâ\u0080\u0099 is likely result of â\u0080\u0098US pressureâ\u0080\u0099…", "fixed-encoding": "Ecuador’s ‘purely political decision on Assange’ is likely result of ‘US pressure’…", "fixed": "Ecuador's 'purely political decision on Assange' is likely result of 'US pressure'…", "expect": "pass" }, { "label": "Inconsistent mojibake in Portuguese", "original": "Campeonatos > III Divisão - Série F > Jornadas Classificação", "fixed": "Campeonatos > III Divisão - Série F > Jornadas Classificação", "expect": "pass" }, { "label": "Handle Afrikaans 'n character", "original": "ʼn Chloroplas is ʼn organel wat in fotosinterende plante voorkom.", "fixed-encoding": "ʼn Chloroplas is ʼn organel wat in fotosinterende plante voorkom.", "fixed": "'n Chloroplas is 'n organel wat in fotosinterende plante voorkom.", "expect": "pass" }, { "label": "Handle Croatian single-codepoint digraphs", "original": "izum „bootstrap load“ koji je koriÅ¡teÇŒem polisilicijskog sloja proizveo dovoljno dobre kondenzatore na Äipu", "fixed-encoding": "izum „bootstrap load“ koji je koriÅ¡teÇŒem polisilicijskog sloja proizveo dovoljno dobre kondenzatore na Äipu", "fixed": "izum \"bootstrap load\" koji je koriÅ¡tenjem polisilicijskog sloja proizveo dovoljno dobre kondenzatore na Äipu", "expect": "pass" }, { "label": "A with an acute accent, in isolation", "original": "Nicolás", "fixed": "Nicolás", "expect": "pass" }, { "label": "sharp S, in isolation, via MacRoman encoding", "comment": "regression reported in issue #186", "original": "weiß", "fixed": "weiß", "expect": "pass" }, { "label": "Sort of negative: this inconsistent mojibake could be Latin-1 or MacRoman, and it was meant to be Latin-1, but it's safest to not decode it as either", "comment": "issue #202", "original": "Bremer/Mccoy – DrÃ¥ber", "fixed": "Bremer/Mccoy – DrÃ¥ber", "expect": "pass" }, { "label": "Negative: 'è' preceded by a non-breaking space is not a small capital Y", "original": "Con il corpo e lo spirito ammaccato,\u00a0è come se nel cuore avessi un vetro conficcato.", "fixed": "Con il corpo e lo spirito ammaccato,\u00a0è come se nel cuore avessi un vetro conficcato.", "expect": "pass" }, { "label": "Negative: multiplication sign and ellipsis", "comment": "Should not turn into a dot below", "original": "4288×…", "fixed": "4288×…", "expect": "pass" }, { "label": "Negative: accents are sometimes used as quotes", "comment": "Under a previous heuristic, this tested the CESU-8 decoder, which would try to decode it and fail when it hit the end of the string", "original": "``toda produzida pronta pra assa aí´´", "fixed": "``toda produzida pronta pra assa aí´´", "expect": "pass" }, { "label": "Negative: 'Õ' followed by an ellipsis", "comment": "Should not turn into the Armenian letter Õ…", "original": "HUHLL Õ…", "fixed": "HUHLL Õ…", "expect": "pass" }, { "label": "Negative: 'Ê' followed by an ellipsis", "comment": "Should not turn into a squat reversed esh", "original": "RETWEET SE VOCÊ…", "fixed": "RETWEET SE VOCÊ…", "expect": "pass" }, { "label": "Negative: 'É' followed by an ellipsis", "comment": "Should not turn into 'MARQUÉ…'", "original": "PARCE QUE SUR LEURS PLAQUES IL Y MARQUÉ…", "fixed": "PARCE QUE SUR LEURS PLAQUES IL Y MARQUÉ…", "expect": "pass" }, { "label": "Negative: 'Ó' followed by an ellipsis", "comment": "Should not turn into 'SÓ…'", "original": "TEM QUE SEGUIR, SDV SÓ…", "fixed": "TEM QUE SEGUIR, SDV SÓ…", "expect": "pass" }, { "label": "Negative: 'É' followed by a curly apostrophe", "comment": "Should not turn into 'ZZAJÉ’s'", "original": "Join ZZAJÉ’s Official Fan List and receive news, events, and more!", "fixed-encoding": "Join ZZAJÉ’s Official Fan List and receive news, events, and more!", "fixed": "Join ZZAJÉ's Official Fan List and receive news, events, and more!", "expect": "pass" }, { "label": "Negative: 'é' preceded by curly apostrophe", "comment": "Should not turn into 'LÕŽpisode'", "original": "L’épisode 8 est trop fou ouahh", "fixed-encoding": "L’épisode 8 est trop fou ouahh", "fixed": "L'épisode 8 est trop fou ouahh", "expect": "pass" }, { "label": "Negative: three raised eyebrows or something?", "comment": "Should not turn into private use character U+F659", "original": "Ôôô VIDA MINHA", "fixed": "Ôôô VIDA MINHA", "expect": "pass" }, { "label": "Negative: copyright sign preceded by non-breaking space", "comment": "Should not turn into 'Ê©'", "original": "[x]\u00a0©", "fixed": "[x]\u00a0©", "expect": "pass" }, { "label": "Negative: en dash and infinity sign", "comment": "Should not turn into '2012Ñ°'", "original": "2012—∞", "fixed": "2012—∞", "expect": "pass" }, { "label": "Negative: This Е is a Ukrainian letter, but nothing else is wrong", "original": "SENSЕ - Oleg Tsedryk", "fixed": "SENSЕ - Oleg Tsedryk", "expect": "pass" }, { "label": "Negative: angry face", "comment": "The face should not turn into '`«'", "original": "OK??:( `¬´ ):", "fixed": "OK??:( `¬´ ):", "expect": "pass" }, { "label": "Negative, synthetic: face with glasses and a raised eyebrow", "original": "( o¬ô )", "fixed": "( o¬ô )", "expect": "pass" }, { "label": "Negative: triangle and degree sign", "comment": "I'm not really sure what it *is* supposed to be, but it's not 'Æ¡'", "original": "∆°", "fixed": "∆°", "expect": "pass" }, { "label": "Negative: Portuguese with inverted question mark", "comment": "Former false positive - it should not turn into 'QUEM É¿'", "original": "ESSE CARA AI QUEM É¿", "fixed": "ESSE CARA AI QUEM É¿", "expect": "pass" }, { "label": "Negative: Portuguese with acute accents as quotation marks", "comment": "Former false positive - the end should not turn into a superscript H", "original": "``hogwarts nao existe, voce nao vai pegar o trem pra lá´´", "fixed": "``hogwarts nao existe, voce nao vai pegar o trem pra lá´´", "expect": "pass" }, { "label": "Negative: Finnish Ä followed by a non-breaking space", "comment": "Former false positive - should not become a G with a dot", "original": "SELKÄ\u00a0EDELLÄ\u00a0MAAHAN via @YouTube", "fixed": "SELKÄ\u00a0EDELLÄ\u00a0MAAHAN via @YouTube", "expect": "pass" }, { "label": "Negative: multiplying by currency", "comment": "Former false positive - should not become the Hebrew letter 'final pe'", "original": "Offering 5×£35 pin ups", "fixed": "Offering 5×£35 pin ups", "expect": "pass" }, { "label": "Negative: registered chocolate brand name", "comment": "Former false positive - should not become the IPA letter 'lezh'", "original": "NESTLÉ® requiere contratar personal para diferentes areas a nivel nacional e internacional", "fixed": "NESTLÉ® requiere contratar personal para diferentes areas a nivel nacional e internacional", "expect": "pass" }, { "label": "Negative: it looks like Windows-1257 mojibake but someone writes their name this way", "comment": "Should not become a cedilla", "original": "Connect with Āø on Facebook", "fixed": "Connect with Āø on Facebook", "expect": "pass" }, { "label": "Mostly negative: we only need to fix C1 control characters", "comment": "We should not decode 'é\u0085 ' as 'é… '", "original": "C'est vrai que nous n'en avons pas encore beaucoup parlé\u0085 Tu sais, ça fait de nombreuses années", "fixed": "C'est vrai que nous n'en avons pas encore beaucoup parlé… Tu sais, ça fait de nombreuses années", "expect": "pass" }, { "label": "French example containing non-breaking spaces", "original": "ART TRIP Ã\u00a0 l'office de tourisme", "fixed": "ART TRIP à l'office de tourisme", "expect": "pass" }, { "label": "English example in UTF-8 / Windows-1251 with a ligature", "original": "This is signiп¬Ѓcantly lower than the respective share", "fixed-encoding": "This is signiï¬cantly lower than the respective share", "fixed": "This is significantly lower than the respective share", "expect": "pass" }, { "label": "Synthetic: we can recognize à in some cases when it's the only mojibake", "original": "voilà le travail", "fixed": "voilà le travail", "expect": "pass" }, { "label": "Synthetic: we can recognize à at the end of a word when it absorbs a following space", "original": "voilà le travail", "fixed": "voilà le travail", "expect": "pass" }, { "label": "Negative: We don't fix à in all contexts", "original": "C O N C L U S à O", "fixed": "C O N C L U S à O", "expect": "pass" }, { "label": "'à' remains its own word, even if spaces after it get coalesced into one", "original": "à perturber la réflexion des théologiens jusqu'à nos jours", "fixed": "à perturber la réflexion des théologiens jusqu'à nos jours", "expect": "pass" }, { "label": "Fix 'à' in inconsistent mojibake", "original": "Le barème forfaitaire permet l’évaluation des frais de déplacement relatifs à l’utilisation", "fixed-encoding": "Le barème forfaitaire permet l’évaluation des frais de déplacement relatifs à l’utilisation", "fixed": "Le barème forfaitaire permet l'évaluation des frais de déplacement relatifs à l'utilisation", "expect": "pass" }, { "label": "The Portuguese word 'às' does not become 'à s' due to the French fix", "original": "com especial atenção à s crianças", "fixed": "com especial atenção às crianças", "expect": "pass" }, { "label": "This is why we require a space after the 's' in 'às'", "original": "Troisième édition pour ce festival qui persiste et signe à s'éloigner des grands axes pour prendre les contre-allées en 16 concerts dans 7 villes de 2 pays voisins.", "fixed": "Troisième édition pour ce festival qui persiste et signe à s'éloigner des grands axes pour prendre les contre-allées en 16 concerts dans 7 villes de 2 pays voisins.", "expect": "pass" }, { "label": "We can fix 'à' in windows-1251 sometimes as well", "original": "La rГ©gion de Dnepropetrovsk se trouve Г l’ouest de l’Ukraine", "fixed-encoding": "La région de Dnepropetrovsk se trouve à l’ouest de l’Ukraine", "fixed": "La région de Dnepropetrovsk se trouve à l'ouest de l'Ukraine", "expect": "pass" }, { "label": "'à quele' is the Portuguese word 'àquele', not 'à quele'", "original": "eliminado o antígeno e mantidos os níveis de anticorpos, surgem as condições necessárias ao estabelecimento do granuloma, semelhante à quele observado nas lesões por imunocomplexo em excesso de anticorpos", "fixed": "eliminado o antígeno e mantidos os níveis de anticorpos, surgem as condições necessárias ao estabelecimento do granuloma, semelhante àquele observado nas lesões por imunocomplexo em excesso de anticorpos", "expect": "pass" }, { "label": "A complex, lossy pile-up of mojibake in Portuguese", "original": "â € ðŸ“� Regulamento: â € âš � As pessoas que marcarem nos comentários perfis empresariais e/ou de marcas, personalidades ou fake serão desclassificadas. âš � Podem participar pessoas residentes em Petrolina/PE ou Juazeiro/BA, desde que se comprometam a retirar o prêmio em nosso endereço. Funcionários estão vetados. âš � Serão válidos os comentários postados até 16h, do dia 31/03/2018. E o resultado será divulgado até à s 19h do mesmo dia em uma nova publicação em nosso instagram. â € Boa sorte!!! 😀�", "fixed": "â € �\u00a0Regulamento: â € ⚠� As pessoas que marcarem nos comentários perfis empresariais e/ou de marcas, personalidades ou fake serão desclassificadas. ⚠� Podem participar pessoas residentes em Petrolina/PE ou Juazeiro/BA, desde que se comprometam a retirar o prêmio em nosso endereço. Funcionários estão vetados. ⚠� Serão válidos os comentários postados até 16h, do dia 31/03/2018. E o resultado será divulgado até às 19h do mesmo dia em uma nova publicação em nosso instagram. â € Boa sorte!!!\u00a0😀�", "expect": "pass" }, { "label": "UTF-8 / Windows-1252 mixup in Gaelic involving non-breaking spaces", "original": "CÃ\u00a0nan nan GÃ\u00a0idheal", "fixed": "Cànan nan Gàidheal", "expect": "pass" }, { "label": "Misleading mix-up in Spanish", "comment": "The original text has mojibake, but the sequence 'á \u0093' can decode as U+1813 MONGOLIAN DIGIT THREE, when the whole string should really just decode as a Latin-1/Windows-1252 mixup", "original": "tiene demora y está \u0093próximo a resolverse\u0094", "fixed": "tiene demora y está \"próximo a resolverse\"", "expect": "fail" }, { "label": "A-with-grave in Vietnamese", "comment": "Currently adds extra spaces that shouldn't be there", "original": "Xem clip hÄ‚ i, phim hÄ‚ i má»›i hay nhất", "fixed": "Xem clip hài, phim hài má»›i hay nhất", "expect": "fail" }, { "label": "Punctuation pile-up should actually be musical notes", "original": "Engkau masih yg terindah, indah di dalam hatiku♫~", "fixed": "Engkau masih yg terindah, indah di dalam hatiku♫~", "expect": "pass" }, { "label": "Latin-1 / MacRoman mixup in Spanish", "comment": "Requires something like encoding detection", "original": "Deja dos heridos hundimiento de barco tur\u0092stico en Acapulco.", "fixed": "Deja dos heridos hundimiento de barco turístico en Acapulco.", "expect": "fail" }, { "label": "subtle UTF-8 / codepage 437 mixup in Spanish", "original": "┬â”que diferencia hay?", "fixed": "¿que diferencia hay?", "expect": "fail" }, { "label": "Latin-1 / MacRoman mixup in Spanish, 2 characters", "comment": "Requires something like encoding detection", "original": "Habitantes de Coatl\u0087n conf\u0092an en proyecto de edil electo independiente", "fixed": "Habitantes de Coatlán confían en proyecto de edil electo independiente", "expect": "fail" }, { "label": "An example with 'à' in windows-1251 where we need our heuristic to be bolder", "original": "faites attention Г bien vous renseigner avant sur le mГ©dicament", "fixed": "faites attention à bien vous renseigner avant sur le médicament", "expect": "fail" }, { "label": "UTF-8 / Windows-1251 mixup in tweet spam", "original": "Blog Traffic Tip 2 – Broadcast Email Your Blog", "fixed": "Blog Traffic Tip 2 – Broadcast Email Your Blog", "expect": "pass" }, { "label": "UTF-8 / Windows-1251 mixup", "original": "S&P Confirms Ukrsotsbank’s “B-“ Rating", "fixed-encoding": "S&P Confirms Ukrsotsbank’s “B-“ Rating", "fixed": "S&P Confirms Ukrsotsbank's \"B-\" Rating", "expect": "pass" }, { "label": "Dutch example with ë", "comment": "from issue reported by MicroJackson", "original": "ongeëvenaard", "fixed-encoding": "ongeëvenaard", "fixed": "ongeëvenaard", "expect": "pass" }, { "label": "HTML entity on top of UTF-8 / Latin-1", "original": "10ÃŽ¼s", "fixed-encoding": "10ÃŽ¼s", "fixed": "10μs", "expect": "pass" }, { "label": "Negative: Two concatenated strings", "comment": "Should not turn into 'fratarak᧠141'", "original": "Oborzos, per. Vahbarz, fratarak᧠141", "fixed": "Oborzos, per. Vahbarz, fratarak᧠141", "expect": "pass" }, { "label": "Negative: Indonesian leetspeak", "original": "MÄ£ÄM ÌÑÌ Q £ÄGÃŒ GÄLÄW ÑÃCH SÖÄ£ ÑÃÄ $ÚÄMÃŒ Q £ÄGÃŒ GÄK ÉÑÄK BÄDÄÑ....?????????, ......JÄDÃ...", "fixed": "MÄ£ÄM ÌÑÌ Q £ÄGÃŒ GÄLÄW ÑÃCH SÖÄ£ ÑÃÄ $ÚÄMÃŒ Q £ÄGÃŒ GÄK ÉÑÄK BÄDÄÑ....?????????, ......JÄDÃ...", "expect": "pass" }, { "label": "Three layers of UTF-8 / MacRoman mixup in French", "comment": "You're welcome", "original": "Merci de télécharger le plug-in Flash Player 8", "fixed": "Merci de télécharger le plug-in Flash Player 8", "expect": "pass" }, { "label": "UTF-8 / MacRoman mixup in French", "original": "Merci de bien vouloir activiter le Javascript dans votre navigateur web afin d'en profiter…", "fixed": "Merci de bien vouloir activiter le Javascript dans votre navigateur web afin d'en profiter…", "expect": "pass" }, { "label": "Italian UTF-8 / MacRoman example with ò", "original": "Le Vigne di Zamò", "fixed": "Le Vigne di Zamò", "expect": "pass" }, { "label": "Italian UTF-8 / MacRoman mojibake that looks like math", "comment": "False negative: 'pi√π' is a bit too reasonable to fix", "original": "Sarai ricontattato dal nostro Esperto al pi√π presto.", "fixed": "Sarai ricontattato dal nostro Esperto al più presto.", "expect": "fail" }, { "label": "Latvian UTF-8 / Windows-1257 mojibake", "original": "Ã… veices baņķieri gaida konkrÄ“tus investÄ«ciju projektus", "fixed": "Å veices baņķieri gaida konkrÄ“tus investÄ«ciju projektus", "expect": "pass" }, { "label": "Latvian UTF-8 / MacRoman mojibake", "original": "SaeimÆ’Ã… ievēlētÆ’Ã…s partijas \"Progresƒ´vie\" lƒ´dzvadƒ´tÆ’Ã…ja Antoņina ≈Öenaševa atbild uz žurnÆ’Ã…listu jautÆ’Ã…jumiem pēc partijas tikšanÆ’Ã…s ar Valsts prezidentu Rƒ´gas pilƒ´,", "fixed": "SaeimÄ ievÄ“lÄ“tÄs partijas \"ProgresÄ«vie\" lÄ«dzvadÄ«tÄja Antoņina Å…enaÅ¡eva atbild uz žurnÄlistu jautÄjumiem pÄ“c partijas tikÅ¡anÄs ar Valsts prezidentu RÄ«gas pilÄ«,", "expect": "pass" }, { "label": "Lithuanian UTF-8 / Windows-1257 mojibake", "original": "Ã… iaip ÄÆdomu, kaip ÄÆsivaizduoji. Visų pirma tam reikia laiko.", "fixed": "Å iaip įdomu, kaip įsivaizduoji. Visų pirma tam reikia laiko.", "expect": "pass" }, { "label": "Lithuanian UTF-8 / Windows-1250 mojibake", "original": "Lietuva pagrÄŻstai gali paklausti: ĹËinoma, kad ne.", "fixed": "Lietuva pagrįstai gali paklausti: Žinoma, kad ne.", "expect": "pass" }, { "label": "Hebrew UTF-8 / Windows-1252 mojibake", "comment": "reported by SuperIRabbit as issue #158", "original": "ב×â€Ã—•×“×¢×â€", "fixed": "בהודעה", "expect": "pass" }, { "label": "Wide comma in UTF-8 / Windows-1252", "original": "Ningbo，China", "fixed-encoding": "Ningbo，China", "fixed": "Ningbo,China", "expect": "pass" }, { "label": "Synthetic: Hebrew UTF-8 / Windows-1250 mojibake", "original": "ב×â€Ã—•×“ע×â€", "fixed": "בהודעה", "expect": "pass" }, { "label": "Synthetic: Hebrew UTF-8 / MacRoman mojibake", "original": "בהודעה", "fixed": "בהודעה", "expect": "pass" }, { "label": "Synthetic: Hebrew UTF-8 / Latin-1 mojibake", "comment": "This example uses low-numbered codepoints to spell 'ABBA' in Hebrew, so that it falls into the range where Latin-1 is different from Windows-1252. As a bonus, this example looks right even if your RTL text rendering isn't working.", "original": "×\u0090×\u0091×\u0091×\u0090", "fixed": "×בב×", "expect": "pass" }, { "label": "Synthetic: Arabic UTF-8 / Windows-1252 mojibake", "original": "رسالة", "fixed": "رسالة", "expect": "pass" }, { "label": "Synthetic: Arabic UTF-8 / Windows-1250 mojibake", "original": "رسالة", "fixed": "رسالة", "expect": "pass" }, { "label": "Synthetic: Arabic UTF-8 / MacRoman mojibake", "original": "رسالة", "fixed": "رسالة", "expect": "pass" }, { "label": "Negative: math in Unicode", "comment": "This isn't mojibake, it's an actual equation", "original": "(-1/2)! = √π", "fixed": "(-1/2)! = √π", "expect": "pass" }, { "label": "Negative: Leet line-art", "comment": "The heuristic before v6 loved to 'fix' this and decode it as 'ôaÅ¿aÅ¿aÅ¿aÅ¿a'", "original": "├┤a┼â”a┼â”a┼â”a┼â”a", "fixed": "├┤a┼â”a┼â”a┼â”a┼â”a", "expect": "pass" }, { "label": "Synthetic, negative: Brontë's name does not end with a Korean syllable", "comment": "The original example of why ftfy needs heuristics", "original": "I'm not such a fan of Charlotte Brontë…â€", "fixed-encoding": "I'm not such a fan of Charlotte Brontë…â€", "fixed": "I'm not such a fan of Charlotte Brontë…\"", "expect": "pass" }, { "label": "Synthetic, negative: hypothetical Swedish product name", "comment": "This used to be a constructed example of a false positive, until you added another symbol", "original": "AHÃ…â„¢, the new sofa from IKEA", "fixed": "AHÃ…â„¢, the new sofa from IKEA", "expect": "pass" }, { "label": "Synthetic, negative: Ukrainian capital letters", "comment": "We need to fix Windows-1251 conservatively, or else this decodes as '²ʲ'", "original": "ВІКІ is Ukrainian for WIKI", "fixed": "ВІКІ is Ukrainian for WIKI", "expect": "pass" }, { "label": "Synthetic, negative: don't leak our internal use of byte 0x1A", "comment": "We use byte 0x1A internally as an encoding of U+FFFD, but literal occurrences of U+1A are just ASCII control characters", "original": "These control characters \u001a are apparently intentional \u0081", "fixed-encoding": "These control characters \u001a are apparently intentional \u0081", "fixed": "These control characters are apparently intentional \u0081", "expect": "pass" }, { "label": "Synthetic, negative: U+1A on its own", "comment": "We use byte 0x1A internally as an encoding of U+FFFD, but literal occurrences of U+1A are just ASCII control characters", "original": "Here's a control character: \u001a", "fixed-encoding": "Here's a control character: \u001a", "fixed": "Here's a control character: ", "expect": "pass" }, { "label": "Synthetic, negative: A-with-circle as an Angstrom sign", "comment": "Should not turn into '10 Å—'", "original": "a radius of 10 Å—", "fixed": "a radius of 10 Å—", "expect": "pass" }, { "label": "Synthetic, negative: Spanish with exclamation points on the wrong sides", "original": "!YO SÉ¡", "fixed": "!YO SÉ¡", "expect": "pass" }, { "label": "Synthetic: fix text with backslashes in it", "comment": "Tests for a regression on a long-ago bug", "original": "<40\\% vs \u00e2\u0089\u00a540\\%", "fixed": "<40\\% vs ≥40\\%", "expect": "pass" }, { "label": "Synthetic: curly quotes with mismatched encoding glitches in Latin-1", "original": "\u00e2\u0080\u009cmismatched quotes\u0085\u0094", "fixed-encoding": "“mismatched quotes…â€", "fixed": "\"mismatched quotes…\"", "expect": "pass" }, { "label": "Synthetic: curly quotes with mismatched encoding glitches in Windows-1252", "original": "“mismatched quotes…â€", "fixed-encoding": "“mismatched quotes…â€", "fixed": "\"mismatched quotes…\"", "expect": "pass" }, { "label": "Synthetic: lossy decoding in sloppy-windows-1252", "original": "“lossy decoding�", "fixed-encoding": "“lossy decoding�", "fixed": "\"lossy decoding�", "expect": "pass" }, { "label": "Synthetic: French word for August in windows-1252", "original": "août", "fixed-encoding": "août", "fixed": "août", "expect": "pass" }, { "label": "Synthetic: French word for hotel in all-caps windows-1252", "original": "HÃâ€TEL", "fixed-encoding": "HÔTEL", "fixed": "HÔTEL", "expect": "pass" }, { "label": "Synthetic: Scottish Gaelic word for 'subject' in all-caps windows-1252", "original": "CÙIS", "fixed-encoding": "CÙIS", "fixed": "CÙIS", "expect": "pass" }, { "label": "Synthetic, negative: Romanian word before a non-breaking space", "comment": "The word literally means 'not even once', which might be a good recommendation about fixing Romanian mojibake", "original": "NICIODATÄ‚\u00a0", "fixed": "NICIODATÄ‚\u00a0", "expect": "pass" }, { "label": "Synthetic, negative: Be careful around curly apostrophes", "comment": "It shouldn't end up saying 'a lot of Ã’s'", "original": "There are a lot of Ã’s in mojibake text", "fixed-encoding": "There are a lot of Ã’s in mojibake text", "fixed": "There are a lot of Ã's in mojibake text", "expect": "pass" }, { "label": "Synthetic, negative: Romanian word before a trademark sign", "comment": "We would change 'DATÙ' to 'DATÙ' if it passed the badness heuristic", "original": "NICIODATÄ‚â„¢", "fixed": "NICIODATÄ‚â„¢", "expect": "pass" }, { "label": "Synthetic, negative: Lithuanian word before a trademark sign", "comment": "Similar to the above example. Shouldn't turn into U+0619 ARABIC SMALL DAMMA", "original": "TRANSFORMATORIŲ™", "fixed": "TRANSFORMATORIŲ™", "expect": "pass" }, { "label": "Synthetic, negative: Norwegian capitalized sentence", "comment": "We're shouting that the island of Håøya is gullible. It should not turn into 'HŨYA ER BLŨYD'.", "original": "HÅØYA ER BLÅØYD", "fixed": "HÅØYA ER BLÅØYD", "expect": "pass" }, { "label": "Synthetic, negative: raised eyebrow kaomoji", "original": "Ō¬o", "fixed": "Ō¬o", "expect": "pass" }, { "label": "Synthetic, false positive: the title of a manga, in weird capitalized romaji, with a non-breaking space", "comment": "Testing tells me I should worry about cases like this, though I haven't seen a real example. Searching for similar real text yields a lot of examples that actually come out fine.", "original": "MISUTÂ\u00a0AJIKKO", "fixed": "MISUTÂ\u00a0AJIKKO", "expect": "fail" }, { "label": "Synthetic, negative: Camel-cased Serbian that looks like a UTF-8 / Windows-1251 mixup", "comment": "I made this text up, but it seems like it means 'HelloDevil'. Could be a username or something.", "original": "ПоздравЂаво", "fixed": "ПоздравЂаво", "expect": "pass" }, { "label": "Synthetic: mojibake with trademark sign at the end of a word", "comment": "I recall the correct version of this text from a sign in the movie Amélie. Now we can help her twin Amélie, who makes mojibaked signs.", "original": "OÙ ET QUAND?", "fixed": "OÙ ET QUAND?", "expect": "pass" } ]rspeer-python-ftfy-5340af6/tests/test_characters.py000066400000000000000000000033151470703607600225370ustar00rootroot00000000000000from ftfy import ( fix_and_explain, fix_encoding, fix_text, ) from ftfy.chardata import possible_encoding from ftfy.fixes import fix_surrogates, remove_control_chars def test_possible_encoding(): for codept in range(256): char = chr(codept) assert possible_encoding(char, "latin-1") def test_byte_order_mark(): assert fix_encoding("") == "\ufeff" def test_control_chars(): text = ( "\ufeffSometimes, \ufffcbad ideas \x7f\ufffalike these characters\ufffb " "\u206aget standardized.\r\n" ) fixed = "Sometimes, bad ideas like these characters get standardized.\r\n" assert remove_control_chars(text) == fixed def test_welsh_flag(): # ftfy used to remove "tag characters", but they have been repurposed in the # "Flag of England", "Flag of Scotland", and "Flag of Wales" emoji sequences. text = "This flag has a dragon on it ðŸ´ó §ó ¢ó ·ó ¬ó ³ó ¿" assert remove_control_chars(text) == text def test_ohio_flag(): # I did not expect to find the "Flag of Ohio" emoji in the wild but there it is. # Test that this emoji (which no emoji database believes has been implemented) # passes through unchanged. text = "#superman #ohio ðŸ´\U000e0075\U000e0073\U000e006f\U000e0068\U000e007f #cleveland #usa 🇺🇸" assert fix_text(text) == text def test_surrogates(): assert fix_surrogates("\udbff\udfff") == "\U0010ffff" assert fix_surrogates("\ud800\udc00") == "\U00010000" def test_color_escapes(): fixed, plan = fix_and_explain("\001\033[36;44mfoo") print(plan) assert fixed == "foo" assert plan == [ ("apply", "remove_terminal_escapes"), ("apply", "remove_control_chars"), ] rspeer-python-ftfy-5340af6/tests/test_cli.py000066400000000000000000000043121470703607600211650ustar00rootroot00000000000000import os import subprocess import pytest # Get the filename of 'face.txt', an example of mojibake THIS_DIR = os.path.dirname(__file__) TEST_FILENAME = os.path.join(THIS_DIR, "face.txt") CORRECT_OUTPUT = os.linesep.join(["â”’(⌣˛⌣)┎", ""]) FAILED_OUTPUT = os.linesep.join( [ "ftfy error:", "This input couldn't be decoded as 'windows-1252'. We got the following error:", "", " 'charmap' codec can't decode byte 0x9d in position 4: character maps to ", "", "ftfy works best when its input is in a known encoding. You can use `ftfy -g`", "to guess, if you're desperate. Otherwise, give the encoding name with the", "`-e` option, such as `ftfy -e latin-1`.", "", ] ) def get_command_output(args, stdin=None): return subprocess.check_output(args, stdin=stdin, stderr=subprocess.STDOUT, timeout=5).decode( "utf-8" ) def test_basic(): output = get_command_output(["ftfy", TEST_FILENAME]) assert output == CORRECT_OUTPUT def test_guess_bytes(): output = get_command_output(["ftfy", "-g", TEST_FILENAME]) assert output == CORRECT_OUTPUT def test_alternate_encoding(): # The file isn't really in Windows-1252. But that's a problem ftfy # can fix, if it's allowed to be sloppy when reading the file. output = get_command_output(["ftfy", "-e", "sloppy-windows-1252", TEST_FILENAME]) assert output == CORRECT_OUTPUT def test_wrong_encoding(): # It's more of a problem when the file doesn't actually decode. with pytest.raises(subprocess.CalledProcessError) as exception: get_command_output(["ftfy", "-e", "windows-1252", TEST_FILENAME]) assert exception.value.output.decode("utf-8") == FAILED_OUTPUT def test_same_file(): with pytest.raises(subprocess.CalledProcessError) as exception: get_command_output(["ftfy", TEST_FILENAME, "-o", TEST_FILENAME]) error = exception.value.output.decode("utf-8") assert error.startswith("ftfy error:") assert "Can't read and write the same file" in error def test_stdin(): with open(TEST_FILENAME, "rb") as infile: output = get_command_output(["ftfy"], stdin=infile) assert output == CORRECT_OUTPUT rspeer-python-ftfy-5340af6/tests/test_encodings.py000066400000000000000000000012731470703607600223720ustar00rootroot00000000000000from ftfy import bad_codecs, guess_bytes def test_cesu8(): cls1 = bad_codecs.search_function("cesu8").__class__ cls2 = bad_codecs.search_function("cesu-8").__class__ assert cls1 == cls2 test_bytes = b"\xed\xa6\x9d\xed\xbd\xb7 is an unassigned character, and \xc0\x80 is null" test_text = "\U00077777 is an unassigned character, and \x00 is null" assert test_bytes.decode("cesu8") == test_text def test_russian_crash(): thebytes = b"\xe8\xed\xe2\xe5\xed\xf2\xe0\xf0\xe8\xe7\xe0\xf6\xe8\xff " # We don't care what the result is, but this shouldn't crash thebytes.decode("utf-8-variants", "replace") # This shouldn't crash either guess_bytes(thebytes) rspeer-python-ftfy-5340af6/tests/test_entities.py000066400000000000000000000037461470703607600222540ustar00rootroot00000000000000import pytest from ftfy import fix_text, fix_text_segment from ftfy.fixes import unescape_html def test_entities(): example = "&\n\n&" assert fix_text(example) == "&\n\n&" assert fix_text_segment(example) == "&\n\n&" assert fix_text(example, unescape_html=True) == "&\n\n&" assert fix_text_segment(example, unescape_html=True) == "&\n\n&" assert fix_text(example, unescape_html=False) == "&\n\n&" assert fix_text_segment(example, unescape_html=False) == "&\n\n&" assert fix_text_segment("<>", unescape_html=False) == "<>" assert fix_text_segment("<>", unescape_html=True) == "<>" assert fix_text_segment("<>") == "<>" assert fix_text_segment("jednocześnie") == "jednoczeÅ›nie" assert fix_text_segment("JEDNOCZEŚNIE") == "JEDNOCZEÅšNIE" assert fix_text_segment("ellipsis…", normalization="NFKC") == "ellipsis..." assert fix_text_segment("ellipsis…", normalization="NFKC") == "ellipsis..." assert fix_text_segment("broken") == "broken\x81" assert fix_text_segment("&amp;amp;") == "&" assert unescape_html("euro €") == "euro €" assert unescape_html("EURO &EURO;") == "EURO €" assert unescape_html("not an entity x6;") == "not an entity x6;" assert unescape_html("JEDNOCZE&SACUTE;NIE") == "JEDNOCZEÅšNIE" assert unescape_html("V&SCARON;ICHNI") == "VÅ ICHNI" assert unescape_html("￿") == "" assert unescape_html("�") == "\ufffd" assert ( fix_text_segment("this is just informal english ¬ html") == "this is just informal english ¬ html" ) def test_old_parameter_name(): example = "&\n\n&" with pytest.deprecated_call(): assert fix_text(example, fix_entities=True) == "&\n\n&" with pytest.deprecated_call(): assert fix_text(example, fix_entities=False) == "&\n\n&" rspeer-python-ftfy-5340af6/tests/test_examples_in_json.py000066400000000000000000000067711470703607600237660ustar00rootroot00000000000000""" Test ftfy's fixes using the data in `test_cases.json`. I collected many test cases by listening to the Twitter streaming API for millions of tweets, picking out examples with high weirdness, and seeing what ftfy decoded them to. There are some impressive things that can happen to text, even in an ecosystem that is supposedly entirely UTF-8. Some examples come from the Common Crawl (particularly those involving Windows-1250 mojibake, which is more common on arbitrary Web pages than on Twitter), and some examples marked as 'synthetic' are contrived to test particular features of ftfy. Each test case is a dictionary containing the following items: - "label": a label that will identify the test case in nosetests - "original": the text to be ftfy'd - "fixed": what the result of ftfy.fix_text should be on this text There are also two optional fields: - "fixed-encoding": what the result of just ftfy.fix_encoding should be. If missing, it will be considered to be the same as "fixed". - "comment": possibly-enlightening commentary on the test case. """ import json import os import pytest from ftfy import apply_plan, fix_and_explain, fix_encoding_and_explain, fix_text THIS_DIR = os.path.dirname(__file__) TEST_FILENAME = os.path.join(THIS_DIR, "test_cases.json") TEST_DATA = json.load(open(TEST_FILENAME, encoding="utf-8")) TESTS_THAT_PASS = [test for test in TEST_DATA if test["expect"] == "pass"] TESTS_THAT_FAIL = [test for test in TEST_DATA if test["expect"] == "fail"] @pytest.mark.parametrize("test_case", TEST_DATA) def test_well_formed_example(test_case): assert test_case["expect"] in ("pass", "fail") @pytest.mark.parametrize("test_case", TESTS_THAT_PASS) def test_json_example(test_case): # Run one example from the data file orig = test_case["original"] fixed = test_case["fixed"] # Make sure that we can fix the text as intended assert fix_text(orig) == fixed # Make sure that fix_and_explain outputs a plan that we can successfully # run to reproduce its result fixed_output, plan = fix_and_explain(orig) assert apply_plan(orig, plan) == fixed_output # Do the same for fix_encoding_and_explain encoding_fix, plan = fix_encoding_and_explain(orig) assert apply_plan(orig, plan) == encoding_fix # Ask for the encoding fix a different way, by disabling all the other steps # in the config object assert ( fix_text( orig, unescape_html=False, remove_terminal_escapes=False, fix_character_width=False, fix_latin_ligatures=False, uncurl_quotes=False, fix_line_breaks=False, fix_surrogates=False, remove_control_chars=False, normalization=None, ) == encoding_fix ) # Make sure we can decode the text as intended assert fix_text(orig) == fixed assert encoding_fix == test_case.get("fixed-encoding", fixed) # Make sure we can decode as intended even with an extra layer of badness extra_bad = orig.encode("utf-8").decode("latin-1") assert fix_text(extra_bad) == fixed @pytest.mark.parametrize("test_case", TESTS_THAT_FAIL) @pytest.mark.xfail(strict=True) def test_failing_json_example(test_case): # Run an example from the data file that 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