Release v1.0.0 (#68)
- all normalized string_metrics can now be used as scorer for process.extract/extractOne
- Implementation of the C++ Wrapper completely refactored to make it easier to add more scorers, processors and string matching algorithms in the future.
- increased test coverage, that already helped to fix some bugs and help to prevent regressions in the future
- improved docstrings of functions
- Added bitparallel implementation of the Levenshtein distance for the weights (1,1,1) and (1,1,2).
- Added specialized implementation of the Levenshtein distance for cases with a small maximum edit distance, that is even faster, than the bitparallel implementation.
- Improved performance of `fuzz.partial_ratio`
-> Since `fuzz.ratio` and `fuzz.partial_ratio` are used in most scorers, this improves the overall performance.
- Improved performance of `process.extract` and `process.extractOne`
- the `rapidfuzz.levenshtein` module is now deprecated and will be removed in v2.0.0
These functions are now placed in `rapidfuzz.string_metric`. `distance`, `normalized_distance`, `weighted_distance` and `weighted_normalized_distance` are combined into `levenshtein` and `normalized_levenshtein`.
- added normalized version of the hamming distance in `string_metric.normalized_hamming`
- process.extract_iter as a generator, that yields the similarity of all elements, that have a similarity >= score_cutoff
- multiple bugs in extractOne when used with a scorer, thats not from RapidFuzz
- fixed bug in `token_ratio`
- fixed bug in result normalisation causing zero division
2021-02-12 15:37:44 +00:00
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name: Build docs
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2020-05-27 12:15:45 +00:00
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on:
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push:
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branches:
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2021-02-14 13:59:12 +00:00
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- main
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2020-05-27 12:15:45 +00:00
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jobs:
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build:
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runs-on: [ubuntu-latest]
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steps:
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Release v1.0.0 (#68)
- all normalized string_metrics can now be used as scorer for process.extract/extractOne
- Implementation of the C++ Wrapper completely refactored to make it easier to add more scorers, processors and string matching algorithms in the future.
- increased test coverage, that already helped to fix some bugs and help to prevent regressions in the future
- improved docstrings of functions
- Added bitparallel implementation of the Levenshtein distance for the weights (1,1,1) and (1,1,2).
- Added specialized implementation of the Levenshtein distance for cases with a small maximum edit distance, that is even faster, than the bitparallel implementation.
- Improved performance of `fuzz.partial_ratio`
-> Since `fuzz.ratio` and `fuzz.partial_ratio` are used in most scorers, this improves the overall performance.
- Improved performance of `process.extract` and `process.extractOne`
- the `rapidfuzz.levenshtein` module is now deprecated and will be removed in v2.0.0
These functions are now placed in `rapidfuzz.string_metric`. `distance`, `normalized_distance`, `weighted_distance` and `weighted_normalized_distance` are combined into `levenshtein` and `normalized_levenshtein`.
- added normalized version of the hamming distance in `string_metric.normalized_hamming`
- process.extract_iter as a generator, that yields the similarity of all elements, that have a similarity >= score_cutoff
- multiple bugs in extractOne when used with a scorer, thats not from RapidFuzz
- fixed bug in `token_ratio`
- fixed bug in result normalisation causing zero division
2021-02-12 15:37:44 +00:00
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- uses: actions/checkout@v2
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with:
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submodules: 'true'
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- name: Set up Python 3.7
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uses: actions/setup-python@v1
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with:
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python-version: 3.7
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- name: Install dependencies
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run: |
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python -m pip install Sphinx sphinx_rtd_theme
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python -m pip install .
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- name: Build Site
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run: make html
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- name: Deploy Site
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uses: peaceiris/actions-gh-pages@v3
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with:
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github_token: ${{ secrets.GITHUB_TOKEN }}
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publish_dir: ./build/html
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