Bump chardet from 7.3.0 to 7.4.0.post1

[dependabot]

Bumps chardet from 7.3.0 to 7.4.0.post1.

Release notes

Sourced from chardet's releases.

chardet 7.4.0 brings accuracy up to 99.3% (from 98.6% in 7.3.0) and significantly faster cold start thanks to a new dense model format.

What's New

Performance:

• New dense zlib-compressed model format (v2) drops cold start (import + first detect) from ~75ms to ~13ms with mypyc

Accuracy (98.6% → 99.3%):

• Eliminated train/test data overlap via content fingerprinting
• Added MADLAD-400 and Wikipedia as supplemental training sources
• Improved non-ASCII bigram scoring: high-byte bigrams are now preserved during training and weighted by per-bigram IDF
• Encoding-aware substitution filtering (substitutions only apply for characters the target encoding can't represent)
• Increased training samples from 15K to 25K per language/encoding pair

Bug fixes:

• Added dedicated structural analyzers for CP932, CP949, and Big5-HKSCS (these were previously sharing their base encoding's byte-range analyzer, missing extended ranges)

Metrics

	chardet 7.4.0 (mypyc)	chardet 6.0.0	charset-normalizer 3.4.6
Accuracy (2,517 files)	99.3%	88.2%	85.4%
Speed	551 files/s	12 files/s	376 files/s
Language detection	95.7%	40.0%	59.2%

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

Changelog

Sourced from chardet's changelog.

Changelog

.. note::

Entries marked "via Claude" were developed with Claude Code <https://claude.ai/code>_. Dan directed the design, reviewed all output, and takes responsibility for the result. Unmarked entries by Dan were written without AI assistance.

7.4.0 (2026-03-26)

Performance:

• Switched to dense zlib-compressed model format (v2): models are now stored as contiguous memoryview slices of a single decompressed blob, eliminating per-model struct.unpack overhead. Cold start (import + first detect) dropped from ~75ms to ~13ms with mypyc. (Dan Blanchard <https://github.com/dan-blanchard>_ via Claude, [#354](https://github.com/chardet/chardet/issues/354) <https://github.com/chardet/chardet/pull/354>_)

Accuracy:

• Accuracy improved from 98.6% to 99.3% (2499/2517 files) through a combination of training and scoring improvements:

  • Eliminated train/test data overlap by content-fingerprinting test suite articles and excluding them from training data ([#351](https://github.com/chardet/chardet/issues/351) <https://github.com/chardet/chardet/pull/351>_)
  • Added MADLAD-400 and Wikipedia as supplemental training sources to fill gaps left by exclusion filtering ([#351](https://github.com/chardet/chardet/issues/351) <https://github.com/chardet/chardet/pull/351>_)
  • Improved non-ASCII bigram scoring: high-byte bigrams are now preserved during training (instead of being crushed by global normalization), and weighted by per-bigram IDF so encoding-specific byte patterns contribute proportionally to how discriminative they are ([#352](https://github.com/chardet/chardet/issues/352) <https://github.com/chardet/chardet/pull/352>_)
  • Added encoding-aware substitution filtering: character substitutions during training now only apply for characters the target encoding cannot represent
  • Increased training samples from 15K to 25K per language/encoding pair (Dan Blanchard <https://github.com/dan-blanchard>_ via Claude)

Bug Fixes:

• Added dedicated structural analyzers for CP932, CP949, and Big5-HKSCS: these superset encodings previously shared their base encoding's byte-range analyzer, missing extended ranges unique to each superset

... (truncated)

Commits

• 15b2d8a fix: use separate=true on Windows only via pre-cibuildwheel patching
• 26a1b25 fix: also drop orchestrator.py from mypyc (still over MSVC limit)
• 26d425c fix: drop magic.py and ascii.py from mypyc to fix Windows C2026
• 2e9542a fix: use multi_file=true for mypyc to fix Windows C2026
• 0e33686 fix: use separate=true (not multi_file) for mypyc compilation
• 22f29d2 fix: enable mypyc multi_file unconditionally to fix Windows C2026
• 326adde fix: enable mypyc multi_file on Windows to avoid MSVC C2026
• 582c664 docs: set 7.4.0 release date to 2026-03-26
• a515745 docs: update version references from 7.3.1 to 7.4.0
• 870988d docs: add 7.4.0 changelog and "via Claude" attribution markers
• Additional commits viewable in compare view

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