Source code for abydos.distance._fuzzywuzzy_partial_string

# Copyright 2019-2020 by Christopher C. Little.
# This file is part of Abydos.
#
# Abydos is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
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"""abydos.distance._fuzzywuzzy_partial_string.

FuzzyWuzzy Partial String similarity
"""

from difflib import SequenceMatcher

from ._distance import _Distance

__all__ = ['FuzzyWuzzyPartialString']


[docs]class FuzzyWuzzyPartialString(_Distance): """FuzzyWuzzy Partial String similarity. This follows the FuzzyWuzzy Partial String similarity algorithm :cite:`Cohen:2011`. Rather than returning an integer in the range [0, 100], as demonstrated in the blog post, this implementation returns a float in the range [0.0, 1.0]. .. versionadded:: 0.4.0 """
[docs] def sim(self, src, tar): """Return the FuzzyWuzzy Partial String similarity of two strings. Parameters ---------- src : str Source string for comparison tar : str Target string for comparison Returns ------- float FuzzyWuzzy Partial String similarity Examples -------- >>> cmp = FuzzyWuzzyPartialString() >>> round(cmp.sim('cat', 'hat'), 12) 0.666666666667 >>> round(cmp.sim('Niall', 'Neil'), 12) 0.75 >>> round(cmp.sim('aluminum', 'Catalan'), 12) 0.428571428571 >>> cmp.sim('ATCG', 'TAGC') 0.5 .. versionadded:: 0.4.0 """ max_sim = 0.0 start_pos = 0 if len(src) > len(tar): src, tar = tar, src src_len = len(src) while max_sim < 1.0 and start_pos < len(tar) - src_len + 1: max_sim = max( max_sim, SequenceMatcher( None, src, tar[start_pos : start_pos + src_len] ).ratio(), ) start_pos += 1 return max_sim
if __name__ == '__main__': import doctest doctest.testmod()