v2.4.4

Improve tokenizers (introduced in 2.4.1)

• Improve efficiency of default tokenizer
• Add option to RegExTokenizer to use split_pattern (the pattern that separates tokens, and that will be removed) or token_pattern (the pattern for tokens and that will be retained)
• Make boundary tokens have length zero so that char indexes of text tokens correspond to original text

Full Changelog: 2.4.3...v2.4.4

v2.4.0

• Add a vocabulary to allow setting distractor pairs for common text terms matching phrase terms, to do early pruning of pairs of text tokens and phrase tokens.
• Switch to using python-levelshtein for faster Levenshtein computation and early stopping.
• Add an option to pad text and phrase tokens with boundary characters (#) to increase matches when one of the beginning or ending characters matches, or for very short words (shorter than ngram size).

Full Changelog: v2.3.0...v2.4.0

v2.3.0

What's Changed

• Update FuzzyTokenSearcher to be more exhaustive by @marijnkoolen in #1

Full Changelog: 1.4.3...v2.3.0

fuzzy-search 1.4.3

Various bug fixes.

1.0.0

This release adds fuzzy search templates and template searching, as well as numerous bug fixes and improved documentation.

0.2.0

This release contains a complete rewrite of the fuzzy search code, with a cleaner API, proper documentation and unit tests.

Initial release

This is the first release with the basic fuzzy string searching functionality in place.