=========== fuzzysearch =========== .. image:: https://img.shields.io/pypi/v/fuzzysearch.svg?style=flat :target: https://pypi.python.org/pypi/fuzzysearch :alt: Latest Version .. image:: https://img.shields.io/travis/taleinat/fuzzysearch.svg?branch=master :target: https://travis-ci.org/taleinat/fuzzysearch/branches :alt: Build & Tests Status .. image:: https://img.shields.io/coveralls/taleinat/fuzzysearch.svg?branch=master :target: https://coveralls.io/r/taleinat/fuzzysearch?branch=master :alt: Test Coverage .. image:: https://img.shields.io/pypi/dm/fuzzysearch.svg?style=flat :target: https://pypi.python.org/pypi/fuzzysearch :alt: Downloads .. image:: https://img.shields.io/pypi/wheel/fuzzysearch.svg?style=flat :target: https://pypi.python.org/pypi/fuzzysearch :alt: Wheels .. image:: https://img.shields.io/pypi/pyversions/fuzzysearch.svg?style=flat :target: https://pypi.python.org/pypi/fuzzysearch :alt: Supported Python versions .. image:: https://img.shields.io/pypi/implementation/fuzzysearch.svg?style=flat :target: https://pypi.python.org/pypi/fuzzysearch :alt: Supported Python implementations .. image:: https://img.shields.io/pypi/l/fuzzysearch.svg?style=flat :target: https://pypi.python.org/pypi/fuzzysearch/ :alt: License **Easy fuzzy search that just works, fast!** .. code:: python >>> find_near_matches('PATTERN', '---PATERN---', max_l_dist=1) [Match(start=3, end=9, dist=1)] * approximate sub-string searches * single, simple function to use * chooses the fastest available search mechanism based on the given input * uses the Levenshtein Distance metric with configurable parameters * separately configure the max. allowed distance, substitutions, deletions and insertions * optional, highly optimized C and Cython implementations * extensively tested * free software: `MIT license `_ For more info, see the `documentation `_. Installation ------------ .. code:: $ pip install fuzzysearch This will work even if installing the C and Cython extensions fails, using pure-Python fallbacks. Usage ----- Just call ``find_near_matches()`` with the sub-sequence you're looking for, the sequence to search, and the matching parameters: .. code:: python >>> from fuzzysearch import find_near_matches # search for 'PATTERN' with a maximum Levenshtein Distance of 1 >>> find_near_matches('PATTERN', '---PATERN---', max_l_dist=1) [Match(start=3, end=9, dist=1)] .. code:: python >>> sequence = '''\ GACTAGCACTGTAGGGATAACAATTTCACACAGGTGGACAATTACATTGAAAATCACAGATTGGTCACACACACA TTGGACATACATAGAAACACACACACATACATTAGATACGAACATAGAAACACACATTAGACGCGTACATAGACA CAAACACATTGACAGGCAGTTCAGATGATGACGCCCGACTGATACTCGCGTAGTCGTGGGAGGCAAGGCACACAG GGGATAGG''' >>> subsequence = 'TGCACTGTAGGGATAACAAT' # distance = 1 >>> find_near_matches(subsequence, sequence, max_l_dist=2) [Match(start=3, end=24, dist=1)] Matching Criteria ----------------- The search function supports four possible match criteria, which may be supplied in any combination: * maximum Levenshtein distance (*max_l_dist*) * maximum # of subsitutions * maximum # of deletions ("delete" = skip a character in the sub-sequence) * maximum # of insertions ("insert" = skip a character in the sequence) Not supplying a criterion means that there is no limit for it. For this reason, one must always supply *max_l_dist* and/or all other criteria. .. code:: python >>> find_near_matches('PATTERN', '---PATERN---', max_l_dist=1) [Match(start=3, end=9, dist=1)] # this will not match since max-deletions is set to zero >>> find_near_matches('PATTERN', '---PATERN---', max_l_dist=1, max_deletions=0) [] # note that a deletion + insertion may be combined to match a substution >>> find_near_matches('PATTERN', '---PAT-ERN---', max_deletions=1, max_insertions=1, max_substitutions=0) [Match(start=3, end=10, dist=1)] # the Levenshtein distance is still 1 # ... but deletion + insertion may also match other, non-substitution differences >>> find_near_matches('PATTERN', '---PATERRN---', max_deletions=1, max_insertions=1, max_substitutions=0) [Match(start=3, end=10, dist=2)]