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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string_metric module
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====================
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levenshtein
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-----------
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.. autofunction:: rapidfuzz.string_metric.levenshtein
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normalized_levenshtein
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----------------------
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.. autofunction:: rapidfuzz.string_metric.normalized_levenshtein
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hamming
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-------
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.. autofunction:: rapidfuzz.string_metric.hamming
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normalized_hamming
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------------------
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2021-08-20 10:56:26 +00:00
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.. autofunction:: rapidfuzz.string_metric.normalized_hamming
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jaro_similarity
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---------------
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.. autofunction:: rapidfuzz.string_metric.jaro_similarity
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jaro_winkler_similarity
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-----------------------
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.. autofunction:: rapidfuzz.string_metric.jaro_winkler_similarity
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