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chore(deps): update dependency chardet to v7 - #36

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chore(deps): update dependency chardet to v7#36
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This PR contains the following updates:

Package Change Age Confidence
chardet (changelog) ==3.0.4 → ==7.4.3 age confidence

Release Notes

chardet/chardet (chardet)

v7.4.3

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Patch release: fixes a crash when input contains null bytes inside a <meta charset> declaration.

Bug Fixes
  • Fixed ValueError: embedded null character crash when input contained a <meta charset> declaration with a null byte in the encoding name (e.g. b'<meta charset="\x00utf-8">'). codecs.lookup() raises ValueError on embedded nulls, and lookup_encoding() was only catching LookupError. Also added defensive ValueError catches in _validate_bytes() and _to_utf8() for completeness. (#​369, thanks @​DRMacIver for the report)

Full Changelog: chardet/chardet@7.4.2...7.4.3

v7.4.2

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Patch release: fixes a crash on short inputs and closes a bunch of WHATWG/IANA alias gaps.

Bug Fixes
  • Fixed RuntimeError: pipeline must always return at least one result on ~2% of all possible two-byte inputs (e.g. b"\xf9\x92"). Multi-byte encodings like CP932 and Johab could score above the structural confidence threshold on very short inputs, but then statistical scoring would return nothing, leaving an empty result list instead of falling through to the fallback. (#​367, #​368, thanks @​jasonwbarnett)
Improvements
  • Added ~90 encoding aliases from the WHATWG Encoding Standard and IANA Character Sets registry so that <meta charset> labels like x-cp1252, x-sjis, dos-874, csUTF8, and the cswindows* family all resolve correctly through the markup detection stage. Every alias was driven by a failing spec-compliance test, not speculative. (#​366)
  • Added a spec-compliance test suite covering Python decode round-trips for all 86 registry encodings, WHATWG label resolution, IANA preferred MIME names, and Unicode/RFC conformance (BOM sniffing, UTF-8 boundary cases, UTF-16 surrogate pairs). This is the test suite that would have caught the 7.4.1 BOM bug before release. (#​366)

Full Changelog: chardet/chardet@7.4.1...7.4.2

v7.4.1

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Bug Fixes
  • BOM-prefixed UTF-16/32 input now returns utf-16/utf-32 instead of utf-16-le/utf-16-be/utf-32-le/utf-32-be. The endian-specific codecs don't strip the BOM on decode, so callers were getting a stray U+FEFF at the start of their text. BOM-less detection is unchanged. (#​364, #​365)

Full Changelog: chardet/chardet@7.4.0...7.4.1

v7.4.0.post2

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v7.4.0.post1

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v7.3.0

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License
  • 0BSD license — the project license has been changed from MIT to 0BSD, a maximally permissive license with no attribution requirement. All prior 7.x releases should also be considered 0BSD licensed as of this release.
Features
  • Added mime_type field to detection results — identifies file types for both binary (via magic number matching) and text content. Returned in all detect(), detect_all(), and UniversalDetector results. (#​350)
  • New pipeline/magic.py module detects 40+ binary file formats including images, audio/video, archives, documents, executables, and fonts. ZIP-based formats (XLSX, DOCX, JAR, APK, EPUB, wheel, OpenDocument) are distinguished by entry filenames. (#​350)
Bug Fixes
  • Fixed incorrect equivalence between UTF-16-LE and UTF-16-BE in accuracy testing — these are distinct encodings with different byte order, not interchangeable
Performance
  • Added 4 new modules to mypyc compilation (orchestrator, confusion, magic, ascii), bringing the total to 11 compiled modules
  • Capped statistical scoring at 16 KB — bigram models converge quickly, so large files no longer score the full 200 KB. Worst-case detection time dropped from 62ms to 26ms with no accuracy loss.
  • Replaced dataclasses.replace() with direct DetectionResult construction on hot paths, eliminating ~354k function calls per full test suite run
Build
  • Added riscv64 to the mypyc wheel build matrix — prebuilt wheels are now published for RISC-V Linux alongside existing architectures (#​348, thanks @​gounthar)

v7.2.0: chardet 7.2.0

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Features
  • Added include_encodings and exclude_encodings parameters to detect(), detect_all(), and UniversalDetector — restrict or exclude specific encodings from the candidate set, with corresponding -i/--include-encodings and -x/--exclude-encodings CLI flags (#​343)
  • Added no_match_encoding (default "cp1252") and empty_input_encoding (default "utf-8") parameters — control which encoding is returned when no candidate survives the pipeline or the input is empty, with corresponding CLI flags (#​343)
  • Added -l/--language flag to chardetect CLI — shows the detected language (ISO 639-1 code and English name) alongside the encoding (#​342)
Fixes
  • Fixed null-separated ASCII data being misdetected as UTF-16-BE (#​346, #​347)

Full changelog: https://chardet.readthedocs.io/en/latest/changelog.html

v7.1.0: chardet 7.1.0

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Features
  • Added PEP 263 encoding declaration detection — # -*- coding: ... -*- and # coding=... declarations on lines 1–2 of Python source files are now recognized with confidence 0.95 (#​249)
  • Added chardet.universaldetector backward-compatibility stub so that from chardet.universaldetector import UniversalDetector works with a deprecation warning (#​341)
Fixes
  • Fixed false UTF-7 detection of ASCII text containing ++ or +word patterns (#​332)
  • Fixed 0.5s startup cost on first detect() call — model norms are now computed during loading instead of lazily iterating 21M entries (#​333)
  • Fixed undocumented encoding name changes between chardet 5.x and 7.0 — detect() now returns chardet 5.x-compatible names by default (#​338)
  • Improved ISO-2022-JP family detection — recognizes ESC sequences for ISO-2022-JP-2004 (JIS X 0213) and ISO-2022-JP-EXT (JIS X 0201 Kana)
  • Fixed silent truncation of corrupt model data (iter_unpack yielded fewer tuples instead of raising)
  • Fixed incorrect date in LICENSE
Performance
  • 5.5x faster first-detect time (~0.42s → ~0.075s) by computing model norms as a side-product of load_models()
  • ~40% faster model parsing via struct.iter_unpack for bulk entry extraction (eliminates ~305K individual unpack calls)
New API parameters
  • Added compat_names parameter (default True) to detect(), detect_all(), and UniversalDetector — set to False to get raw Python codec names instead of chardet 5.x/6.x compatible display names
  • Added prefer_superset parameter (default False) — remaps legacy ISO/subset encodings to their modern Windows/CP superset equivalents (e.g., ASCII → Windows-1252, ISO-8859-1 → Windows-1252). This will default to True in the next major version (8.0).
  • Deprecated should_rename_legacy in favor of prefer_superset — a deprecation warning is emitted when used
Improvements
  • Switched internal canonical encoding names to Python codec names (e.g., "utf-8" instead of "UTF-8"), with compat_names controlling the public output format
  • Added lookup_encoding() to registry for case-insensitive resolution of arbitrary encoding name input to canonical names
  • Achieved 100% line coverage across all source modules (+31 tests)
  • Updated benchmark numbers: 98.2% encoding accuracy, 95.2% language accuracy on 2,510 test files
  • Pinned test-data cloning to chardet release version tags for reproducible builds

Full changelog: https://chardet.readthedocs.io/en/latest/changelog.html

v7.0.1

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Fixes
  • Fixed false UTF-7 detection of SHA-1 git hashes (#​324, fixing #​323) — requirements files with VCS pins (e.g., +4bafdea3...) were misdetected as UTF-7, breaking tools like tox
  • Fixed _SINGLE_LANG_MAP missing aliases for single-language encoding lookup (e.g., big5 → big5hkscs)
  • Fixed PyPy TypeError in UTF-7 codec handling
Improvements
  • Retrained bigram models — 24 previously failing test cases now pass
  • Updated language equivalences for mutual intelligibility (Slovak/Czech, East Slavic + Bulgarian, Malay/Indonesian, Scandinavian languages)
New Contributors
  • @​rembish made their first contribution — both reporting the UTF-7 false detection issue and submitting the fix! (#​323, #​324)

v7.0.0

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Ground-up, MIT-licensed rewrite of chardet. Same package name, same public API — drop-in replacement for chardet 5.x/6.x. Just way faster and more accurate!

Highlights:

  • MIT license (previous versions were LGPL)
  • 96.8% accuracy on 2,179 test files (+2.3pp vs chardet 6.0.0, +7.7pp vs charset-normalizer)
  • 41x faster than chardet 6.0.0 with mypyc (28x pure Python), 7.5x faster than charset-normalizer
  • Language detection for every result (90.5% accuracy across 49 languages)
  • 99 encodings across six eras (MODERN_WEB, LEGACY_ISO, LEGACY_MAC, LEGACY_REGIONAL, DOS, MAINFRAME)
  • 12-stage detection pipeline — BOM, UTF-16/32 patterns, escape sequences, binary detection, markup charset, ASCII, UTF-8 validation, byte validity, CJK gating, structural probing, statistical scoring, post-processing
  • Bigram frequency models trained on CulturaX multilingual corpus data for all supported language/encoding pairs
  • Optional mypyc compilation — 1.49x additional speedup on CPython
  • Thread-safe detect() and detect_all() with no measurable overhead; scales on free-threaded Python 3.13t+
  • Negligible import memory (96 B)
  • Zero runtime dependencies

Breaking changes vs 6.0.0:

  • detect() and detect_all() now default to encoding_era=EncodingEra.ALL (6.0.0 defaulted to MODERN_WEB)
  • Internal architecture is completely different (probers replaced by pipeline stages). Only the public API is preserved.
  • LanguageFilter is accepted but ignored (deprecation warning emitted)
  • chunk_size is accepted but ignored (deprecation warning emitted)

v6.0.0.post1

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  • Fixed version number in chardet/version.py still being set to 6.0.0dev0. Otherwise identical to 6.0.0.

v6.0.0

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Features
  • Unified single-byte charset detection: Instead of only having trained language models for a handful of languages (Bulgarian, Greek, Hebrew, Hungarian, Russian, Thai, Turkish) and relying on special-case Latin1Prober and MacRomanProber heuristics for Western encodings, chardet now treats all single-byte charsets the same way: every encoding gets proper language-specific bigram models trained on CulturaX corpus data. This means chardet can now accurately detect both the encoding and the language for all supported single-byte encodings.
  • 38 new languages: Arabic, Belarusian, Breton, Croatian, Czech, Danish, Dutch, English, Esperanto, Estonian, Farsi, Finnish, French, German, Icelandic, Indonesian, Irish, Italian, Kazakh, Latvian, Lithuanian, Macedonian, Malay, Maltese, Norwegian, Polish, Portuguese, Romanian, Scottish Gaelic, Serbian, Slovak, Slovene, Spanish, Swedish, Tajik, Ukrainian, Vietnamese, and Welsh. Existing models for Bulgarian, Greek, Hebrew, Hungarian, Russian, Thai, and Turkish were also retrained with the new pipeline.
  • EncodingEra filtering: New encoding_era parameter to detect allows filtering by an EncodingEra flag enum (MODERN_WEB, LEGACY_ISO, LEGACY_MAC, LEGACY_REGIONAL, DOS, MAINFRAME, ALL) allows callers to restrict detection to encodings from a specific era. detect() and detect_all() default to MODERN_WEB. The new MODERN_WEB default should drastically improve accuracy for users who are not working with legacy data. The tiers are:
    • MODERN_WEB: UTF-8/16/32, Windows-125x, CP874, CJK multi-byte (widely used on the web)
    • LEGACY_ISO: ISO-8859-x, KOI8-R/U (legacy but well-known standards)
    • LEGACY_MAC: Mac-specific encodings (MacRoman, MacCyrillic, etc.)
    • LEGACY_REGIONAL: Uncommon regional/national encodings (KOI8-T, KZ1048, CP1006, etc.)
    • DOS: DOS/OEM code pages (CP437, CP850, CP866, etc.)
    • MAINFRAME: EBCDIC variants (CP037, CP500, etc.)
  • --encoding-era CLI flag: The chardetect CLI now accepts -e/--encoding-era to control which encoding eras are considered during detection.
  • max_bytes and chunk_size parameters: detect(), detect_all(), and UniversalDetector now accept max_bytes (default 200KB) and chunk_size (default 64KB) parameters for controlling how much data is examined. (#​314, @​bysiber)
  • Encoding era preference tie-breaking: When multiple encodings have very close confidence scores, the detector now prefers more modern/Unicode encodings over legacy ones.
  • Charset metadata registry: New chardet.metadata.charsets module provides structured metadata about all supported encodings, including their era classification and language filter.
  • should_rename_legacy now defaults intelligently: When set to None (the new default), legacy renaming is automatically enabled when encoding_era is MODERN_WEB.
  • Direct GB18030 support: Replaced the redundant GB2312 prober with a proper GB18030 prober.
  • EBCDIC detection: Added CP037 and CP500 EBCDIC model registrations for mainframe encoding detection.
  • Binary file detection: Added basic binary file detection to abort analysis earlier on non-text files.
  • Python 3.12, 3.13, and 3.14 support (#​283, @​hugovk; #​311)
  • GitHub Codespace support (#​312, @​oxygen-dioxide)
Fixes
  • Fix CP949 state machine: Corrected the state machine for Korean CP949 encoding detection. (#​268, @​nenw)
  • Fix SJIS distribution analysis: Fixed SJISDistributionAnalysis discarding valid second-byte range >= 0x80. (#​315, @​bysiber)
  • Fix UTF-16/32 detection for non-ASCII-heavy text: Improved detection of UTF-16/32 encoded CJK and other non-ASCII text by adding a MIN_RATIO threshold alongside the existing EXPECTED_RATIO.
  • Fix get_charset crash: Resolved a crash when looking up unknown charset names.
  • Fix GB18030 char_len_table: Corrected the character length table for GB18030 multi-byte sequences.
  • Fix UTF-8 state machine: Updated to be more spec-compliant.
  • Fix detect_all() returning inactive probers: Results from probers that determined "definitely not this encoding" are now excluded.
  • Fix early cutoff bug: Resolved an issue where detection could terminate prematurely.
  • Default UTF-8 fallback: If UTF-8 has not been ruled out and nothing else is above the minimum threshold, UTF-8 is now returned as the default.
Breaking changes
  • Dropped Python 3.7, 3.8, and 3.9 support: Now requires Python 3.10+. (#​283, @​hugovk)
  • Removed Latin1Prober and MacRomanProber: These special-case probers have been replaced by the unified model-based approach described above. Latin-1, MacRoman, and all other single-byte encodings are now detected by SingleByteCharSetProber with trained language models, giving better accuracy and language identification.
  • Removed EUC-TW support: EUC-TW encoding detection has been removed as it is extremely rare in practice.
  • LanguageFilter.NONE removed: Use specific language filters or LanguageFilter.ALL instead.
  • Enum types changed: InputState, ProbingState, MachineState, SequenceLikelihood, and CharacterCategory are now IntEnum (previously plain classes or Enum). LanguageFilter values changed from hardcoded hex to auto().
  • detect() default behavior change: detect() now defaults to encoding_era=EncodingEra.MODERN_WEB and should_rename_legacy=None (auto-enabled for MODERN_WEB), whereas previously it defaulted to considering all encodings with no legacy renaming.
Misc changes
  • Switched from Poetry/setuptools to uv + hatchling: Build system modernized with hatch-vcs for version management.
  • License text updated: Updated LGPLv2.1 license text and FSF notices to use URL instead of mailing address. (#​304, #​307, @​musicinmybrain)
  • CulturaX-based model training: The create_language_model.py training script was rewritten to use the CulturaX multilingual corpus instead of Wikipedia, producing higher quality bigram frequency models.
  • Language class converted to frozen dataclass: The language metadata class now uses @dataclass(frozen=True) with num_training_docs and num_training_chars fields replacing wiki_start_pages.
  • Test infrastructure: Added pytest-timeout and pytest-xdist for faster parallel test execution. Reorganized test data directories.
Contributors

Thank you to everyone who contributed to this release!

And a special thanks to @​helour, whose earlier Latin-1 prober work from an abandoned PR helped inform the approach taken in this release.

v5.2.0: chardet 5.2.0

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Adds support for running chardet CLI via python -m chardet (0e9b7bc, @​dan-blanchard)

v5.1.0: chardet 5.1.0

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Features
Fixes
Misc changes

v5.0.0: chardet 5.0.0

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⚠️ This release is the first release of chardet that no longer supports Python < 3.6 ⚠️

In addition to that change, it features the following user-facing changes:

v4.0.0: chardet 4.0.0

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⚠️ This will be the last release of chardet to support Python 2.7. chardet 5.0 will only support 3.6+ ⚠️

Major Changes

This release is multiple years in the making, and provides some quality of life improvements to chardet. The primary user-facing changes are:

  1. Single-byte charset probers now use nested dictionaries under the hood, so they are usually a little faster than before. (See #​121 for details)
  2. The CharsetGroupProber class now properly short-circuits when one of the probers in the group is considered a definite match. This lead to a substantial speedup.
  3. There is now a chardet.detect_all function that returns a list of possible encodings for the input with associated confidences.
  4. We have dropped support for Python 2.6, 3.4, and 3.5 as they are all past end-of-life.

The changes in this release have also laid the groundwork for retraining the models to make them more accurate, and to support some more encodings/languages (see #​99 for progress). This is our main focus for chardet 5.0 (beyond dropping Python 2 support).

Benchmarks

Running on a MacBook Pro (15-inch, 2018) with 2.2GHz 6-core i7 processor and 32GB RAM

old version (chardet 3.0.4)
Benchmarking chardet 3.0.4 on CPython 3.7.5 (default, Sep  8 2020, 12:19:42)
[Clang 11.0.3 (clang-1103.0.32.62)]
--------------------------------------------------------------------------------
Calls per second for each encoding:
ascii: 25559.439366240098
big5: 7.187002209518091
cp932: 4.71090956645177
cp949: 2.937256786994428
euc-jp: 4.870580412090848
euc-kr: 6.6910755971933416
euc-tw: 87.71098043480079
gb2312: 6.614302607154443
ibm855: 27.595893549680685
ibm866: 29.93483661732791
iso-2022-jp: 3379.5052775763434
iso-2022-kr: 26181.67290886392
iso-8859-1: 120.63424740403983
iso-8859-5: 32.65106262196898
iso-8859-7: 62.480089080556084
koi8-r: 13.72481001727257
maccyrillic: 33.018537255804496
shift_jis: 4.996013583677438
tis-620: 14.323112928341818
utf-16: 166771.53081510935
utf-32: 198782.18009478672
utf-8: 13.966236809766901
utf-8-sig: 193732.28637413395
windows-1251: 23.038910006925768
windows-1252: 99.48409117053738 
windows-1255: 6.336261495718825

Total time: 357.05358052253723s (10.054513372323958 calls per second)
new version (chardet 4.0.0)

Benchmarking chardet 4.0.0 on CPython 3.7.5 (default, Sep  8 2020, 12:19:42)
[Clang 11.0.3 (clang-1103.0.32.62)]
--------------------------------------------------------------------------------
.......................................................................................................................................................................................................................................................................................................................................................................
Calls per second for each encoding:
ascii: 38176.31067961165
big5: 12.86915132656389
cp932: 4.656400877065864
cp949: 7.282976434315926
euc-jp: 4.329381447610525
euc-kr: 8.16386823884839
euc-tw: 90.230745070368
gb2312: 14.248865889128146
ibm855: 33.30225548069821
ibm866: 44.181691968506
iso-2022-jp: 3024.2295767539117
iso-2022-kr: 25055.57945041816
iso-8859-1: 59.25262902122995
iso-8859-5: 39.7069713674529
iso-8859-7: 61.008422013862194
koi8-r: 41.21560517643845
maccyrillic: 31.402474369805002
shift_jis: 4.9091652743515155
tis-620: 14.408875278821073
utf-16: 177349.00634249471
utf-32: 186413.51111111112
utf-8: 108.62174360115105
utf-8-sig: 181965.46637744035
windows-1251: 43.16933400329809
windows-1252: 211.27653358317968
windows-1255: 16.15113643694104

Total time: 268.0230791568756s (13.394368915143872 calls per second)

Thank you to @​aaaxx, @​edumco, @​hrnciar, @​hroncok, @​jdufresne, @​mdamien, @​saintamh , @​xeor for submitting pull requests, to all of our users for being patient with how long this release has taken.

Full changelog

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