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RapidFuzz
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Release v1.1.0 (#75) ## Changed - string_metric.normalized_levenshtein supports now all weights - when different weights are used for Insertion and Deletion the strings can not be swapped inside the Levenshtein implementation anymore. So different weights for Insertion and Deletion are now supported. - replace C++ implementation with a Cython implementation. This has the following advantages: - The implementation is less error prone, since a lot of the complex things are done by Cython - slighly faster than the current implementation (up to 10% for some parts) - about 33% smaller binary size - reduced compile time - Added **kwargs argument to process.extract/extractOne/extract_iter that is passed to the scorer - Add max argument to hamming distance - Add support for whole Unicode range to utils.default_process ## Performance - replaced Wagner Fischer usage in the normal Levenshtein distance with a bitparallel implementation
2021-02-21 18:42:36 +00:00
1.1.0