Rapidfuzz

Latest version: v3.9.0

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3.6.0

^^^^^^^^^^^^^^^^^^^^
Fixed
~~~~~
* fix pure python fallback implementation of ``fuzz.token_set_ratio``
* properly link with ``-latomic`` if ``std::atomic<uint64_t>`` is not natively supported

Performance
~~~~~~~~~~~
* add banded implementation of LCS / Indel. This improves the runtime from ``O((|s1|/64) * |s2|)`` to ``O((score_cutoff/64) * |s2|)``

Changed
~~~~~~~
* upgrade to ``Cython==3.0.7``
* cdist for many metrics now returns a matrix of ``uint32`` instead of ``int32`` by default

3.5.2

^^^^^^^^^^^^^^^^^^^^
Fixed
~~~~~
* use _mm_malloc/_mm_free on macOS if aligned_alloc is unsupported

3.5.1

^^^^^^^^^^^^^^^^^^^^
Fixed
~~~~~
* fix compilation failure on macOS

3.5.0

^^^^^^^^^^^^^^^^^^^^
Changed
~~~~~~~
* skip pandas ``pd.NA`` similar to ``None``
* add ``score_multiplier`` argument to ``process.cdist`` which allows multiplying the end result scores
with a constant factor.
* drop support for Python 3.7

Performance
~~~~~~~~~~~
* improve performance of simd implementation for ``LCS`` / ``Indel`` / ``Jaro`` / ``JaroWinkler``
* improve performance of Jaro and Jaro Winkler for long sequences
* implement ``process.extract`` with ``limit=1`` using ``process.extractOne`` which can be faster

Fixed
~~~~~
* the preprocessing function was always called through Python due to a broken C-API version check
* fix wraparound issue in simd implementation of Jaro and Jaro Winkler

3.4.0

^^^^^^^^^^^^^^^^^^^^
Changed
~~~~~~~
* upgrade to ``Cython==3.0.3``
* add simd implementation for Jaro and Jaro Winkler

3.3.1

^^^^^^^^^^^^^^^^^^^^
Added
~~~~~
* add missing tag for python 3.12 support

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