chore(deps): update chardet requirement from <6.0.0,>=3.0.2 to >=3.0.2,<8.0.0

[dependabot]

Updates the requirements on chardet to permit the latest version.

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

• e37cf3c fix: prevent dirty-tree version in Windows mypyc wheel builds
• f9f5af2 Fix a couple errors in the changelog
• 53755de chore: add .superpowers/ to .gitignore
• 3a20df6 docs: update README examples with correct outputs
• 17ec933 docs: note train/test separation in performance.rst
• 7296d93 docs: add footnote explaining 0 B import memory (lazy loading)
• 4221536 docs: add chardet 7.0.1-7.3.0 to historical performance table
• 9dfb65b docs: remove historical performance table spec/plan (preserved in git history)
• 72413b8 docs: add historical performance table to performance.rst
• cbcb80d fix: handle None detect() results and missing venvs in benchmarks
• Additional commits viewable in compare view

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