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Bump charset-normalizer from 2.0.4 to 2.0.7 #212

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Oct 13, 2021

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@dependabot dependabot bot commented on behalf of github Oct 12, 2021

Bumps charset-normalizer from 2.0.4 to 2.0.7.

Release notes

Sourced from charset-normalizer's releases.

Version 2.0.7

We arrived in a pretty stable state.

Changes:

  • Addition: 🍱 Add support for Kazakh (Cyrillic) language detection #109
  • Improvement: ❇️ Further improve inferring the language from a given code page (single-byte) #112
  • Removed: 🔥 Remove redundant logging entry about detected language(s) #115
  • Miscellaneous: 🔧 Trying to leverage PEP263 when PEP3120 is not supported #116
    • While I do not think that this (116) will actually fix something, it will rather raise a SyntaxError (Not about ASCII decoding error) for those trying to install this package using a non-supported Python version
  • Improvement: ⚡ Refactoring for potential performance improvements in loops #113 @​adbar
  • Improvement: ✨ Various detection improvement (MD+CD) #117
  • Bugfix: 🐛 Fix a minor inconsistency between Python 3.5 and other versions regarding language detection #117 #102

This version pushes forward the detection-coverage to 98%! https://github.com/Ousret/charset_normalizer/runs/3863881150 The great filter (cannot be better than) shall be 99% in conjunction with the current dataset. In future releases.

Version 2.0.6

Changes:

  • Bugfix: 🐛 Unforeseen regression with the loss of the backward-compatibility with some older minor of Python 3.5.x #100
  • Bugfix: 🐛 Fix CLI crash when using --minimal output in certain cases #103
  • Improvement: ✨ Minor improvement to the detection efficiency (less than 1%) #106 #101

Version 2.0.5

Changes:

Internal: 🎨 The project now comply with: flake8, mypy, isort and black to ensure a better overall quality #81 Internal: 🎨 The MANIFEST.in was not exhaustive #78 Improvement: ✨ The BC-support with v1.x was improved, the old staticmethods are restored #82 Remove: 🔥 The project no longer raise warning on tiny content given for detection, will be simply logged as warning instead #92 Improvement: ✨ The Unicode detection is slightly improved, see #93 Bugfix: 🐛 In some rare case, the chunks extractor could cut in the middle of a multi-byte character and could mislead the mess detection #95 Bugfix: 🐛 Some rare 'space' characters could trip up the UnprintablePlugin/Mess detection #96 Improvement: 🎨 Add syntax sugar __bool__ for results CharsetMatches list-container see #91

This release push further the detection coverage to 97 % !

Commits
  • ea44bd7 🔖 Version 2.0.7 (#119)
  • ccf77d2 ⬆️ Bump flake8 from 3.9.2 to 4.0.0 (#120)
  • 06b558e ✔️ Test against py 3.10 rc2 latest preview (#118)
  • cf1f76a ❇️ Various detection improvement (MD+CD) (#117)
  • 42a7d3d Refactoring for potential performance improvements in loops (#113)
  • 59e48eb 🔥 Remove single_byte_hard|soft_failure counters
  • 1b087b3 🔧 Trying to leverage PEP263 when PEP3120 is ignored (#116)
  • aad0aef 🔥 Remove double logging entry for the same purpose (language/coherence) ...
  • 747faeb 📝 README minor changes
  • c415db7 ❇️ Further improve infering the language from a given CP (single-byte)...
  • Additional commits viewable in compare view

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Bumps [charset-normalizer](https://github.com/ousret/charset_normalizer) from 2.0.4 to 2.0.7.
- [Release notes](https://github.com/ousret/charset_normalizer/releases)
- [Commits](jawah/charset_normalizer@2.0.4...2.0.7)

---
updated-dependencies:
- dependency-name: charset-normalizer
  dependency-type: direct:production
  update-type: version-update:semver-patch
...

Signed-off-by: dependabot[bot] <[email protected]>
@dependabot dependabot bot added the dependencies Pull requests that update a dependency file label Oct 12, 2021
@Dhruvacube Dhruvacube merged commit 36b700c into master Oct 13, 2021
@Dhruvacube Dhruvacube deleted the dependabot/pip/charset-normalizer-2.0.7 branch October 13, 2021 07:27
Dhruvacube added a commit that referenced this pull request Jun 23, 2022
…rmalizer-2.0.7

Bump charset-normalizer from 2.0.4 to 2.0.7
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