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	Metadata-Version: 2.4
	Name: charset-normalizer
	Version: 3.4.2
	Summary: The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet.
	Author-email: "Ahmed R. TAHRI" <tahri.ahmed@proton.me>
	Maintainer-email: "Ahmed R. TAHRI" <tahri.ahmed@proton.me>
	License: MIT
	Project-URL: Changelog, https://github.com/jawah/charset_normalizer/blob/master/CHANGELOG.md
	Project-URL: Documentation, https://charset-normalizer.readthedocs.io/
	Project-URL: Code, https://github.com/jawah/charset_normalizer
	Project-URL: Issue tracker, https://github.com/jawah/charset_normalizer/issues
	Keywords: encoding,charset,charset-detector,detector,normalization,unicode,chardet,detect
	Classifier: Development Status :: 5 - Production/Stable
	Classifier: Intended Audience :: Developers
	Classifier: License :: OSI Approved :: MIT License
	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 :: 3.13
	Classifier: Programming Language :: Python :: 3 :: Only
	Classifier: Programming Language :: Python :: Implementation :: CPython
	Classifier: Programming Language :: Python :: Implementation :: PyPy
	Classifier: Topic :: Text Processing :: Linguistic
	Classifier: Topic :: Utilities
	Classifier: Typing :: Typed
	Requires-Python: >=3.7
	Description-Content-Type: text/markdown
	License-File: LICENSE
	Provides-Extra: unicode-backport
	Dynamic: license-file

	<h1 align="center">Charset Detection, for Everyone 👋</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-Best_HTTP_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">👉 Try Me Online Now, Then Adopt Me 👈 </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` \| ❌ \| ✅ \| ✅ \|
	\| `Universal**` \| ❌ \| ✅ \| ❌ \|
	\| `Reliable` without distinguishable standards \| ❌ \| ✅ \| ✅ \|
	\| `Reliable` with distinguishable standards \| ✅ \| ✅ \| ✅ \|
	\| `License` \| LGPL-2.1<br>_restrictive_ \| MIT \| MPL-1.1<br>_restrictive_ \|
	\| `Native Python` \| ✅ \| ✅ \| ❌ \|
	\| `Detect spoken language` \| ❌ \| ✅ \| N/A \|
	\| `UnicodeDecodeError Safety` \| ❌ \| ✅ \| ❌ \|
	\| `Whl Size (min)` \| 193.6 kB \| 42 kB \| ~200 kB \|
	\| `Supported Encoding` \| 33 \| 🎉 [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>

	## ⚡ 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 % \| 63 ms \| 16 file/sec \|
	\| charset-normalizer \| 98 % \| 10 ms \| 100 file/sec \|

	\| Package \| 99th percentile \| 95th percentile \| 50th percentile \|
	\|-----------------------------------------------\|:---------------:\|:---------------:\|:---------------:\|
	\| [chardet](https://github.com/chardet/chardet) \| 265 ms \| 71 ms \| 7 ms \|
	\| charset-normalizer \| 100 ms \| 50 ms \| 5 ms \|

	_updated as of december 2024 using CPython 3.12_

	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
	> (e.g. Supported Encoding) Challenge-them if you want.

	## ✨ Installation

	Using pip:

	```sh
	pip install charset-normalizer -U
	```

	## 🚀 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
	```

	🎉 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/)

	## 😇 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 ? 😎

	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.

	## 🍰 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 (aka. defining noise in rendered text).
	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.

	## ⚡ 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.

	## ⚠️ 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.

	## 👤 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.

	## 📝 License

	Copyright © [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 © 2012 [Denny Vrandečić](http://simia.net/letters/)

	## 💼 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

	[![OpenSSF Best Practices](https://www.bestpractices.dev/projects/7297/badge)](https://www.bestpractices.dev/projects/7297)

	# 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/).

	## [3.4.2](https://github.com/Ousret/charset_normalizer/compare/3.4.1...3.4.2) (2025-05-02)

	### Fixed
	- Addressed the DeprecationWarning in our CLI regarding `argparse.FileType` by backporting the target class into the package. (#591)
	- Improved the overall reliability of the detector with CJK Ideographs. (#605) (#587)

	### Changed
	- Optional mypyc compilation upgraded to version 1.15 for Python >= 3.8

	## [3.4.1](https://github.com/Ousret/charset_normalizer/compare/3.4.0...3.4.1) (2024-12-24)

	### Changed
	- Project metadata are now stored using `pyproject.toml` instead of `setup.cfg` using setuptools as the build backend.
	- Enforce annotation delayed loading for a simpler and consistent types in the project.
	- Optional mypyc compilation upgraded to version 1.14 for Python >= 3.8

	### Added
	- pre-commit configuration.
	- noxfile.

	### Removed
	- `build-requirements.txt` as per using `pyproject.toml` native build configuration.
	- `bin/integration.py` and `bin/serve.py` in favor of downstream integration test (see noxfile).
	- `setup.cfg` in favor of `pyproject.toml` metadata configuration.
	- Unused `utils.range_scan` function.

	### Fixed
	- Converting content to Unicode bytes may insert `utf_8` instead of preferred `utf-8`. (#572)
	- Deprecation warning "'count' is passed as positional argument" when converting to Unicode bytes on Python 3.13+

	## [3.4.0](https://github.com/Ousret/charset_normalizer/compare/3.3.2...3.4.0) (2024-10-08)

	### Added
	- Argument `--no-preemptive` in the CLI to prevent the detector to search for hints.
	- Support for Python 3.13 (#512)

	### Fixed
	- Relax the TypeError exception thrown when trying to compare a CharsetMatch with anything else than a CharsetMatch.
	- Improved the general reliability of the detector based on user feedbacks. (#520) (#509) (#498) (#407) (#537)
	- Declared charset in content (preemptive detection) not changed when converting to utf-8 bytes. (#381)

	## [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, Volapük, 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

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