Mercurial > repos > jpayne > bioproject_to_srr_2
diff charset_normalizer-3.3.2.dist-info/METADATA @ 7:5eb2d5e3bf22
planemo upload for repository https://toolrepo.galaxytrakr.org/view/jpayne/bioproject_to_srr_2/556cac4fb538
| author | jpayne |
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| date | Sun, 05 May 2024 23:32:17 -0400 |
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--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/charset_normalizer-3.3.2.dist-info/METADATA Sun May 05 23:32:17 2024 -0400 @@ -0,0 +1,683 @@ +Metadata-Version: 2.1 +Name: charset-normalizer +Version: 3.3.2 +Summary: The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet. +Home-page: https://github.com/Ousret/charset_normalizer +Author: Ahmed TAHRI +Author-email: ahmed.tahri@cloudnursery.dev +License: MIT +Project-URL: Bug Reports, https://github.com/Ousret/charset_normalizer/issues +Project-URL: Documentation, https://charset-normalizer.readthedocs.io/en/latest +Keywords: encoding,charset,charset-detector,detector,normalization,unicode,chardet,detect +Classifier: Development Status :: 5 - Production/Stable +Classifier: License :: OSI Approved :: MIT License +Classifier: Intended Audience :: Developers +Classifier: Topic :: Software Development :: Libraries :: Python Modules +Classifier: Operating System :: OS Independent +Classifier: Programming Language :: Python +Classifier: Programming Language :: Python :: 3 +Classifier: Programming Language :: Python :: 3.7 +Classifier: Programming Language :: Python :: 3.8 +Classifier: Programming Language :: Python :: 3.9 +Classifier: Programming Language :: Python :: 3.10 +Classifier: Programming Language :: Python :: 3.11 +Classifier: Programming Language :: Python :: 3.12 +Classifier: Programming Language :: Python :: Implementation :: PyPy +Classifier: Topic :: Text Processing :: Linguistic +Classifier: Topic :: Utilities +Classifier: Typing :: Typed +Requires-Python: >=3.7.0 +Description-Content-Type: text/markdown +License-File: LICENSE +Provides-Extra: unicode_backport + +<h1 align="center">Charset Detection, for Everyone π</h1> + +<p align="center"> + <sup>The Real First Universal Charset Detector</sup><br> + <a href="https://pypi.org/project/charset-normalizer"> + <img src="https://img.shields.io/pypi/pyversions/charset_normalizer.svg?orange=blue" /> + </a> + <a href="https://pepy.tech/project/charset-normalizer/"> + <img alt="Download Count Total" src="https://static.pepy.tech/badge/charset-normalizer/month" /> + </a> + <a href="https://bestpractices.coreinfrastructure.org/projects/7297"> + <img src="https://bestpractices.coreinfrastructure.org/projects/7297/badge"> + </a> +</p> +<p align="center"> + <sup><i>Featured Packages</i></sup><br> + <a href="https://github.com/jawah/niquests"> + <img alt="Static Badge" src="https://img.shields.io/badge/Niquests-HTTP_1.1%2C%202%2C_and_3_Client-cyan"> + </a> + <a href="https://github.com/jawah/wassima"> + <img alt="Static Badge" src="https://img.shields.io/badge/Wassima-Certifi_Killer-cyan"> + </a> +</p> +<p align="center"> + <sup><i>In other language (unofficial port - by the community)</i></sup><br> + <a href="https://github.com/nickspring/charset-normalizer-rs"> + <img alt="Static Badge" src="https://img.shields.io/badge/Rust-red"> + </a> +</p> + +> A library that helps you read text from an unknown charset encoding.<br /> Motivated by `chardet`, +> I'm trying to resolve the issue by taking a new approach. +> All IANA character set names for which the Python core library provides codecs are supported. + +<p align="center"> + >>>>> <a href="https://charsetnormalizerweb.ousret.now.sh" target="_blank">π Try Me Online Now, Then Adopt Me π </a> <<<<< +</p> + +This project offers you an alternative to **Universal Charset Encoding Detector**, also known as **Chardet**. + +| Feature | [Chardet](https://github.com/chardet/chardet) | Charset Normalizer | [cChardet](https://github.com/PyYoshi/cChardet) | +|--------------------------------------------------|:---------------------------------------------:|:--------------------------------------------------------------------------------------------------:|:-----------------------------------------------:| +| `Fast` | β | β | β | +| `Universal**` | β | β | β | +| `Reliable` **without** distinguishable standards | β | β | β | +| `Reliable` **with** distinguishable standards | β | β | β | +| `License` | LGPL-2.1<br>_restrictive_ | MIT | MPL-1.1<br>_restrictive_ | +| `Native Python` | β | β | β | +| `Detect spoken language` | β | β | N/A | +| `UnicodeDecodeError Safety` | β | β | β | +| `Whl Size (min)` | 193.6 kB | 42 kB | ~200 kB | +| `Supported Encoding` | 33 | π [99](https://charset-normalizer.readthedocs.io/en/latest/user/support.html#supported-encodings) | 40 | + +<p align="center"> +<img src="https://i.imgflip.com/373iay.gif" alt="Reading Normalized Text" width="226"/><img src="https://media.tenor.com/images/c0180f70732a18b4965448d33adba3d0/tenor.gif" alt="Cat Reading Text" width="200"/> +</p> + +*\*\* : They are clearly using specific code for a specific encoding even if covering most of used one*<br> +Did you got there because of the logs? See [https://charset-normalizer.readthedocs.io/en/latest/user/miscellaneous.html](https://charset-normalizer.readthedocs.io/en/latest/user/miscellaneous.html) + +## β‘ Performance + +This package offer better performance than its counterpart Chardet. Here are some numbers. + +| Package | Accuracy | Mean per file (ms) | File per sec (est) | +|-----------------------------------------------|:--------:|:------------------:|:------------------:| +| [chardet](https://github.com/chardet/chardet) | 86 % | 200 ms | 5 file/sec | +| charset-normalizer | **98 %** | **10 ms** | 100 file/sec | + +| Package | 99th percentile | 95th percentile | 50th percentile | +|-----------------------------------------------|:---------------:|:---------------:|:---------------:| +| [chardet](https://github.com/chardet/chardet) | 1200 ms | 287 ms | 23 ms | +| charset-normalizer | 100 ms | 50 ms | 5 ms | + +Chardet's performance on larger file (1MB+) are very poor. Expect huge difference on large payload. + +> Stats are generated using 400+ files using default parameters. More details on used files, see GHA workflows. +> And yes, these results might change at any time. The dataset can be updated to include more files. +> The actual delays heavily depends on your CPU capabilities. The factors should remain the same. +> Keep in mind that the stats are generous and that Chardet accuracy vs our is measured using Chardet initial capability +> (eg. Supported Encoding) Challenge-them if you want. + +## β¨ Installation + +Using pip: + +```sh +pip install charset-normalizer -U +``` + +## π Basic Usage + +### CLI +This package comes with a CLI. + +``` +usage: normalizer [-h] [-v] [-a] [-n] [-m] [-r] [-f] [-t THRESHOLD] + file [file ...] + +The Real First Universal Charset Detector. Discover originating encoding used +on text file. Normalize text to unicode. + +positional arguments: + files File(s) to be analysed + +optional arguments: + -h, --help show this help message and exit + -v, --verbose Display complementary information about file if any. + Stdout will contain logs about the detection process. + -a, --with-alternative + Output complementary possibilities if any. Top-level + JSON WILL be a list. + -n, --normalize Permit to normalize input file. If not set, program + does not write anything. + -m, --minimal Only output the charset detected to STDOUT. Disabling + JSON output. + -r, --replace Replace file when trying to normalize it instead of + creating a new one. + -f, --force Replace file without asking if you are sure, use this + flag with caution. + -t THRESHOLD, --threshold THRESHOLD + Define a custom maximum amount of chaos allowed in + decoded content. 0. <= chaos <= 1. + --version Show version information and exit. +``` + +```bash +normalizer ./data/sample.1.fr.srt +``` + +or + +```bash +python -m charset_normalizer ./data/sample.1.fr.srt +``` + +π Since version 1.4.0 the CLI produce easily usable stdout result in JSON format. + +```json +{ + "path": "/home/default/projects/charset_normalizer/data/sample.1.fr.srt", + "encoding": "cp1252", + "encoding_aliases": [ + "1252", + "windows_1252" + ], + "alternative_encodings": [ + "cp1254", + "cp1256", + "cp1258", + "iso8859_14", + "iso8859_15", + "iso8859_16", + "iso8859_3", + "iso8859_9", + "latin_1", + "mbcs" + ], + "language": "French", + "alphabets": [ + "Basic Latin", + "Latin-1 Supplement" + ], + "has_sig_or_bom": false, + "chaos": 0.149, + "coherence": 97.152, + "unicode_path": null, + "is_preferred": true +} +``` + +### Python +*Just print out normalized text* +```python +from charset_normalizer import from_path + +results = from_path('./my_subtitle.srt') + +print(str(results.best())) +``` + +*Upgrade your code without effort* +```python +from charset_normalizer import detect +``` + +The above code will behave the same as **chardet**. We ensure that we offer the best (reasonable) BC result possible. + +See the docs for advanced usage : [readthedocs.io](https://charset-normalizer.readthedocs.io/en/latest/) + +## π Why + +When I started using Chardet, I noticed that it was not suited to my expectations, and I wanted to propose a +reliable alternative using a completely different method. Also! I never back down on a good challenge! + +I **don't care** about the **originating charset** encoding, because **two different tables** can +produce **two identical rendered string.** +What I want is to get readable text, the best I can. + +In a way, **I'm brute forcing text decoding.** How cool is that ? π + +Don't confuse package **ftfy** with charset-normalizer or chardet. ftfy goal is to repair unicode string whereas charset-normalizer to convert raw file in unknown encoding to unicode. + +## π° How + + - Discard all charset encoding table that could not fit the binary content. + - Measure noise, or the mess once opened (by chunks) with a corresponding charset encoding. + - Extract matches with the lowest mess detected. + - Additionally, we measure coherence / probe for a language. + +**Wait a minute**, what is noise/mess and coherence according to **YOU ?** + +*Noise :* I opened hundred of text files, **written by humans**, with the wrong encoding table. **I observed**, then +**I established** some ground rules about **what is obvious** when **it seems like** a mess. + I know that my interpretation of what is noise is probably incomplete, feel free to contribute in order to + improve or rewrite it. + +*Coherence :* For each language there is on earth, we have computed ranked letter appearance occurrences (the best we can). So I thought +that intel is worth something here. So I use those records against decoded text to check if I can detect intelligent design. + +## β‘ Known limitations + + - Language detection is unreliable when text contains two or more languages sharing identical letters. (eg. HTML (english tags) + Turkish content (Sharing Latin characters)) + - Every charset detector heavily depends on sufficient content. In common cases, do not bother run detection on very tiny content. + +## β οΈ About Python EOLs + +**If you are running:** + +- Python >=2.7,<3.5: Unsupported +- Python 3.5: charset-normalizer < 2.1 +- Python 3.6: charset-normalizer < 3.1 +- Python 3.7: charset-normalizer < 4.0 + +Upgrade your Python interpreter as soon as possible. + +## π€ Contributing + +Contributions, issues and feature requests are very much welcome.<br /> +Feel free to check [issues page](https://github.com/ousret/charset_normalizer/issues) if you want to contribute. + +## π License + +Copyright Β© [Ahmed TAHRI @Ousret](https://github.com/Ousret).<br /> +This project is [MIT](https://github.com/Ousret/charset_normalizer/blob/master/LICENSE) licensed. + +Characters frequencies used in this project Β© 2012 [Denny VrandeΔiΔ](http://simia.net/letters/) + +## πΌ For Enterprise + +Professional support for charset-normalizer is available as part of the [Tidelift +Subscription][1]. Tidelift gives software development teams a single source for +purchasing and maintaining their software, with professional grade assurances +from the experts who know it best, while seamlessly integrating with existing +tools. + +[1]: https://tidelift.com/subscription/pkg/pypi-charset-normalizer?utm_source=pypi-charset-normalizer&utm_medium=readme + +# Changelog +All notable changes to charset-normalizer will be documented in this file. This project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html). +The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/). + +## [3.3.2](https://github.com/Ousret/charset_normalizer/compare/3.3.1...3.3.2) (2023-10-31) + +### Fixed +- Unintentional memory usage regression when using large payload that match several encoding (#376) +- Regression on some detection case showcased in the documentation (#371) + +### Added +- Noise (md) probe that identify malformed arabic representation due to the presence of letters in isolated form (credit to my wife) + +## [3.3.1](https://github.com/Ousret/charset_normalizer/compare/3.3.0...3.3.1) (2023-10-22) + +### Changed +- Optional mypyc compilation upgraded to version 1.6.1 for Python >= 3.8 +- Improved the general detection reliability based on reports from the community + +## [3.3.0](https://github.com/Ousret/charset_normalizer/compare/3.2.0...3.3.0) (2023-09-30) + +### Added +- Allow to execute the CLI (e.g. normalizer) through `python -m charset_normalizer.cli` or `python -m charset_normalizer` +- Support for 9 forgotten encoding that are supported by Python but unlisted in `encoding.aliases` as they have no alias (#323) + +### Removed +- (internal) Redundant utils.is_ascii function and unused function is_private_use_only +- (internal) charset_normalizer.assets is moved inside charset_normalizer.constant + +### Changed +- (internal) Unicode code blocks in constants are updated using the latest v15.0.0 definition to improve detection +- Optional mypyc compilation upgraded to version 1.5.1 for Python >= 3.8 + +### Fixed +- Unable to properly sort CharsetMatch when both chaos/noise and coherence were close due to an unreachable condition in \_\_lt\_\_ (#350) + +## [3.2.0](https://github.com/Ousret/charset_normalizer/compare/3.1.0...3.2.0) (2023-06-07) + +### Changed +- Typehint for function `from_path` no longer enforce `PathLike` as its first argument +- Minor improvement over the global detection reliability + +### Added +- Introduce function `is_binary` that relies on main capabilities, and optimized to detect binaries +- Propagate `enable_fallback` argument throughout `from_bytes`, `from_path`, and `from_fp` that allow a deeper control over the detection (default True) +- Explicit support for Python 3.12 + +### Fixed +- Edge case detection failure where a file would contain 'very-long' camel cased word (Issue #289) + +## [3.1.0](https://github.com/Ousret/charset_normalizer/compare/3.0.1...3.1.0) (2023-03-06) + +### Added +- Argument `should_rename_legacy` for legacy function `detect` and disregard any new arguments without errors (PR #262) + +### Removed +- Support for Python 3.6 (PR #260) + +### Changed +- Optional speedup provided by mypy/c 1.0.1 + +## [3.0.1](https://github.com/Ousret/charset_normalizer/compare/3.0.0...3.0.1) (2022-11-18) + +### Fixed +- Multi-bytes cutter/chunk generator did not always cut correctly (PR #233) + +### Changed +- Speedup provided by mypy/c 0.990 on Python >= 3.7 + +## [3.0.0](https://github.com/Ousret/charset_normalizer/compare/2.1.1...3.0.0) (2022-10-20) + +### Added +- Extend the capability of explain=True when cp_isolation contains at most two entries (min one), will log in details of the Mess-detector results +- Support for alternative language frequency set in charset_normalizer.assets.FREQUENCIES +- Add parameter `language_threshold` in `from_bytes`, `from_path` and `from_fp` to adjust the minimum expected coherence ratio +- `normalizer --version` now specify if current version provide extra speedup (meaning mypyc compilation whl) + +### Changed +- Build with static metadata using 'build' frontend +- Make the language detection stricter +- Optional: Module `md.py` can be compiled using Mypyc to provide an extra speedup up to 4x faster than v2.1 + +### Fixed +- CLI with opt --normalize fail when using full path for files +- TooManyAccentuatedPlugin induce false positive on the mess detection when too few alpha character have been fed to it +- Sphinx warnings when generating the documentation + +### Removed +- Coherence detector no longer return 'Simple English' instead return 'English' +- Coherence detector no longer return 'Classical Chinese' instead return 'Chinese' +- Breaking: Method `first()` and `best()` from CharsetMatch +- UTF-7 will no longer appear as "detected" without a recognized SIG/mark (is unreliable/conflict with ASCII) +- Breaking: Class aliases CharsetDetector, CharsetDoctor, CharsetNormalizerMatch and CharsetNormalizerMatches +- Breaking: Top-level function `normalize` +- Breaking: Properties `chaos_secondary_pass`, `coherence_non_latin` and `w_counter` from CharsetMatch +- Support for the backport `unicodedata2` + +## [3.0.0rc1](https://github.com/Ousret/charset_normalizer/compare/3.0.0b2...3.0.0rc1) (2022-10-18) + +### Added +- Extend the capability of explain=True when cp_isolation contains at most two entries (min one), will log in details of the Mess-detector results +- Support for alternative language frequency set in charset_normalizer.assets.FREQUENCIES +- Add parameter `language_threshold` in `from_bytes`, `from_path` and `from_fp` to adjust the minimum expected coherence ratio + +### Changed +- Build with static metadata using 'build' frontend +- Make the language detection stricter + +### Fixed +- CLI with opt --normalize fail when using full path for files +- TooManyAccentuatedPlugin induce false positive on the mess detection when too few alpha character have been fed to it + +### Removed +- Coherence detector no longer return 'Simple English' instead return 'English' +- Coherence detector no longer return 'Classical Chinese' instead return 'Chinese' + +## [3.0.0b2](https://github.com/Ousret/charset_normalizer/compare/3.0.0b1...3.0.0b2) (2022-08-21) + +### Added +- `normalizer --version` now specify if current version provide extra speedup (meaning mypyc compilation whl) + +### Removed +- Breaking: Method `first()` and `best()` from CharsetMatch +- UTF-7 will no longer appear as "detected" without a recognized SIG/mark (is unreliable/conflict with ASCII) + +### Fixed +- Sphinx warnings when generating the documentation + +## [3.0.0b1](https://github.com/Ousret/charset_normalizer/compare/2.1.0...3.0.0b1) (2022-08-15) + +### Changed +- Optional: Module `md.py` can be compiled using Mypyc to provide an extra speedup up to 4x faster than v2.1 + +### Removed +- Breaking: Class aliases CharsetDetector, CharsetDoctor, CharsetNormalizerMatch and CharsetNormalizerMatches +- Breaking: Top-level function `normalize` +- Breaking: Properties `chaos_secondary_pass`, `coherence_non_latin` and `w_counter` from CharsetMatch +- Support for the backport `unicodedata2` + +## [2.1.1](https://github.com/Ousret/charset_normalizer/compare/2.1.0...2.1.1) (2022-08-19) + +### Deprecated +- Function `normalize` scheduled for removal in 3.0 + +### Changed +- Removed useless call to decode in fn is_unprintable (#206) + +### Fixed +- Third-party library (i18n xgettext) crashing not recognizing utf_8 (PEP 263) with underscore from [@aleksandernovikov](https://github.com/aleksandernovikov) (#204) + +## [2.1.0](https://github.com/Ousret/charset_normalizer/compare/2.0.12...2.1.0) (2022-06-19) + +### Added +- Output the Unicode table version when running the CLI with `--version` (PR #194) + +### Changed +- Re-use decoded buffer for single byte character sets from [@nijel](https://github.com/nijel) (PR #175) +- Fixing some performance bottlenecks from [@deedy5](https://github.com/deedy5) (PR #183) + +### Fixed +- Workaround potential bug in cpython with Zero Width No-Break Space located in Arabic Presentation Forms-B, Unicode 1.1 not acknowledged as space (PR #175) +- CLI default threshold aligned with the API threshold from [@oleksandr-kuzmenko](https://github.com/oleksandr-kuzmenko) (PR #181) + +### Removed +- Support for Python 3.5 (PR #192) + +### Deprecated +- Use of backport unicodedata from `unicodedata2` as Python is quickly catching up, scheduled for removal in 3.0 (PR #194) + +## [2.0.12](https://github.com/Ousret/charset_normalizer/compare/2.0.11...2.0.12) (2022-02-12) + +### Fixed +- ASCII miss-detection on rare cases (PR #170) + +## [2.0.11](https://github.com/Ousret/charset_normalizer/compare/2.0.10...2.0.11) (2022-01-30) + +### Added +- Explicit support for Python 3.11 (PR #164) + +### Changed +- The logging behavior have been completely reviewed, now using only TRACE and DEBUG levels (PR #163 #165) + +## [2.0.10](https://github.com/Ousret/charset_normalizer/compare/2.0.9...2.0.10) (2022-01-04) + +### Fixed +- Fallback match entries might lead to UnicodeDecodeError for large bytes sequence (PR #154) + +### Changed +- Skipping the language-detection (CD) on ASCII (PR #155) + +## [2.0.9](https://github.com/Ousret/charset_normalizer/compare/2.0.8...2.0.9) (2021-12-03) + +### Changed +- Moderating the logging impact (since 2.0.8) for specific environments (PR #147) + +### Fixed +- Wrong logging level applied when setting kwarg `explain` to True (PR #146) + +## [2.0.8](https://github.com/Ousret/charset_normalizer/compare/2.0.7...2.0.8) (2021-11-24) +### Changed +- Improvement over Vietnamese detection (PR #126) +- MD improvement on trailing data and long foreign (non-pure latin) data (PR #124) +- Efficiency improvements in cd/alphabet_languages from [@adbar](https://github.com/adbar) (PR #122) +- call sum() without an intermediary list following PEP 289 recommendations from [@adbar](https://github.com/adbar) (PR #129) +- Code style as refactored by Sourcery-AI (PR #131) +- Minor adjustment on the MD around european words (PR #133) +- Remove and replace SRTs from assets / tests (PR #139) +- Initialize the library logger with a `NullHandler` by default from [@nmaynes](https://github.com/nmaynes) (PR #135) +- Setting kwarg `explain` to True will add provisionally (bounded to function lifespan) a specific stream handler (PR #135) + +### Fixed +- Fix large (misleading) sequence giving UnicodeDecodeError (PR #137) +- Avoid using too insignificant chunk (PR #137) + +### Added +- Add and expose function `set_logging_handler` to configure a specific StreamHandler from [@nmaynes](https://github.com/nmaynes) (PR #135) +- Add `CHANGELOG.md` entries, format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/) (PR #141) + +## [2.0.7](https://github.com/Ousret/charset_normalizer/compare/2.0.6...2.0.7) (2021-10-11) +### Added +- Add support for Kazakh (Cyrillic) language detection (PR #109) + +### Changed +- Further, improve inferring the language from a given single-byte code page (PR #112) +- Vainly trying to leverage PEP263 when PEP3120 is not supported (PR #116) +- Refactoring for potential performance improvements in loops from [@adbar](https://github.com/adbar) (PR #113) +- Various detection improvement (MD+CD) (PR #117) + +### Removed +- Remove redundant logging entry about detected language(s) (PR #115) + +### Fixed +- Fix a minor inconsistency between Python 3.5 and other versions regarding language detection (PR #117 #102) + +## [2.0.6](https://github.com/Ousret/charset_normalizer/compare/2.0.5...2.0.6) (2021-09-18) +### Fixed +- Unforeseen regression with the loss of the backward-compatibility with some older minor of Python 3.5.x (PR #100) +- Fix CLI crash when using --minimal output in certain cases (PR #103) + +### Changed +- Minor improvement to the detection efficiency (less than 1%) (PR #106 #101) + +## [2.0.5](https://github.com/Ousret/charset_normalizer/compare/2.0.4...2.0.5) (2021-09-14) +### Changed +- The project now comply with: flake8, mypy, isort and black to ensure a better overall quality (PR #81) +- The BC-support with v1.x was improved, the old staticmethods are restored (PR #82) +- The Unicode detection is slightly improved (PR #93) +- Add syntax sugar \_\_bool\_\_ for results CharsetMatches list-container (PR #91) + +### Removed +- The project no longer raise warning on tiny content given for detection, will be simply logged as warning instead (PR #92) + +### Fixed +- In some rare case, the chunks extractor could cut in the middle of a multi-byte character and could mislead the mess detection (PR #95) +- Some rare 'space' characters could trip up the UnprintablePlugin/Mess detection (PR #96) +- The MANIFEST.in was not exhaustive (PR #78) + +## [2.0.4](https://github.com/Ousret/charset_normalizer/compare/2.0.3...2.0.4) (2021-07-30) +### Fixed +- The CLI no longer raise an unexpected exception when no encoding has been found (PR #70) +- Fix accessing the 'alphabets' property when the payload contains surrogate characters (PR #68) +- The logger could mislead (explain=True) on detected languages and the impact of one MBCS match (PR #72) +- Submatch factoring could be wrong in rare edge cases (PR #72) +- Multiple files given to the CLI were ignored when publishing results to STDOUT. (After the first path) (PR #72) +- Fix line endings from CRLF to LF for certain project files (PR #67) + +### Changed +- Adjust the MD to lower the sensitivity, thus improving the global detection reliability (PR #69 #76) +- Allow fallback on specified encoding if any (PR #71) + +## [2.0.3](https://github.com/Ousret/charset_normalizer/compare/2.0.2...2.0.3) (2021-07-16) +### Changed +- Part of the detection mechanism has been improved to be less sensitive, resulting in more accurate detection results. Especially ASCII. (PR #63) +- According to the community wishes, the detection will fall back on ASCII or UTF-8 in a last-resort case. (PR #64) + +## [2.0.2](https://github.com/Ousret/charset_normalizer/compare/2.0.1...2.0.2) (2021-07-15) +### Fixed +- Empty/Too small JSON payload miss-detection fixed. Report from [@tseaver](https://github.com/tseaver) (PR #59) + +### Changed +- Don't inject unicodedata2 into sys.modules from [@akx](https://github.com/akx) (PR #57) + +## [2.0.1](https://github.com/Ousret/charset_normalizer/compare/2.0.0...2.0.1) (2021-07-13) +### Fixed +- Make it work where there isn't a filesystem available, dropping assets frequencies.json. Report from [@sethmlarson](https://github.com/sethmlarson). (PR #55) +- Using explain=False permanently disable the verbose output in the current runtime (PR #47) +- One log entry (language target preemptive) was not show in logs when using explain=True (PR #47) +- Fix undesired exception (ValueError) on getitem of instance CharsetMatches (PR #52) + +### Changed +- Public function normalize default args values were not aligned with from_bytes (PR #53) + +### Added +- You may now use charset aliases in cp_isolation and cp_exclusion arguments (PR #47) + +## [2.0.0](https://github.com/Ousret/charset_normalizer/compare/1.4.1...2.0.0) (2021-07-02) +### Changed +- 4x to 5 times faster than the previous 1.4.0 release. At least 2x faster than Chardet. +- Accent has been made on UTF-8 detection, should perform rather instantaneous. +- The backward compatibility with Chardet has been greatly improved. The legacy detect function returns an identical charset name whenever possible. +- The detection mechanism has been slightly improved, now Turkish content is detected correctly (most of the time) +- The program has been rewritten to ease the readability and maintainability. (+Using static typing)+ +- utf_7 detection has been reinstated. + +### Removed +- This package no longer require anything when used with Python 3.5 (Dropped cached_property) +- Removed support for these languages: Catalan, Esperanto, Kazakh, Baque, VolapΓΌk, Azeri, Galician, Nynorsk, Macedonian, and Serbocroatian. +- The exception hook on UnicodeDecodeError has been removed. + +### Deprecated +- Methods coherence_non_latin, w_counter, chaos_secondary_pass of the class CharsetMatch are now deprecated and scheduled for removal in v3.0 + +### Fixed +- The CLI output used the relative path of the file(s). Should be absolute. + +## [1.4.1](https://github.com/Ousret/charset_normalizer/compare/1.4.0...1.4.1) (2021-05-28) +### Fixed +- Logger configuration/usage no longer conflict with others (PR #44) + +## [1.4.0](https://github.com/Ousret/charset_normalizer/compare/1.3.9...1.4.0) (2021-05-21) +### Removed +- Using standard logging instead of using the package loguru. +- Dropping nose test framework in favor of the maintained pytest. +- Choose to not use dragonmapper package to help with gibberish Chinese/CJK text. +- Require cached_property only for Python 3.5 due to constraint. Dropping for every other interpreter version. +- Stop support for UTF-7 that does not contain a SIG. +- Dropping PrettyTable, replaced with pure JSON output in CLI. + +### Fixed +- BOM marker in a CharsetNormalizerMatch instance could be False in rare cases even if obviously present. Due to the sub-match factoring process. +- Not searching properly for the BOM when trying utf32/16 parent codec. + +### Changed +- Improving the package final size by compressing frequencies.json. +- Huge improvement over the larges payload. + +### Added +- CLI now produces JSON consumable output. +- Return ASCII if given sequences fit. Given reasonable confidence. + +## [1.3.9](https://github.com/Ousret/charset_normalizer/compare/1.3.8...1.3.9) (2021-05-13) + +### Fixed +- In some very rare cases, you may end up getting encode/decode errors due to a bad bytes payload (PR #40) + +## [1.3.8](https://github.com/Ousret/charset_normalizer/compare/1.3.7...1.3.8) (2021-05-12) + +### Fixed +- Empty given payload for detection may cause an exception if trying to access the `alphabets` property. (PR #39) + +## [1.3.7](https://github.com/Ousret/charset_normalizer/compare/1.3.6...1.3.7) (2021-05-12) + +### Fixed +- The legacy detect function should return UTF-8-SIG if sig is present in the payload. (PR #38) + +## [1.3.6](https://github.com/Ousret/charset_normalizer/compare/1.3.5...1.3.6) (2021-02-09) + +### Changed +- Amend the previous release to allow prettytable 2.0 (PR #35) + +## [1.3.5](https://github.com/Ousret/charset_normalizer/compare/1.3.4...1.3.5) (2021-02-08) + +### Fixed +- Fix error while using the package with a python pre-release interpreter (PR #33) + +### Changed +- Dependencies refactoring, constraints revised. + +### Added +- Add python 3.9 and 3.10 to the supported interpreters + +MIT License + +Copyright (c) 2019 TAHRI Ahmed R. + +Permission is hereby granted, free of charge, to any person obtaining a copy +of this software and associated documentation files (the "Software"), to deal +in the Software without restriction, including without limitation the rights +to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +SOFTWARE.