Source code for abydos.distance._block_levenshtein

# Copyright 2019-2020 by Christopher C. Little.
# This file is part of Abydos.
#
# Abydos is free software: you can redistribute it and/or modify
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"""abydos.distance._block_levenshtein.

Levenshtein distance with block operations
"""

from ._lcsstr import LCSstr
from ._levenshtein import Levenshtein

__all__ = ['BlockLevenshtein']


[docs]class BlockLevenshtein(Levenshtein): """Levenshtein distance with block operations. In addition to character-level insert, delete, and replace operations, this version of the Levenshtein distance supports block-level insert, delete, and replace, provided that the block occurs in both input strings. .. versionadded:: 0.4.0 """ def __init__(self, cost=(1, 1, 1, 1), normalizer=max, **kwargs): """Initialize BlockLevenshtein instance. Parameters ---------- **kwargs Arbitrary keyword arguments .. versionadded:: 0.4.0 """ super(BlockLevenshtein, self).__init__( cost=cost, normalizer=normalizer, **kwargs ) self.lcs = LCSstr()
[docs] def dist_abs(self, src, tar): """Return the block Levenshtein edit distance between two strings. Parameters ---------- src : str Source string for comparison tar : str Target string for comparison Returns ------- int The block Levenshtein edit distance between src & tar Examples -------- >>> cmp = BlockLevenshtein() >>> cmp.dist_abs('cat', 'hat') 1 >>> cmp.dist_abs('Niall', 'Neil') 3 >>> cmp.dist_abs('aluminum', 'Catalan') 7 >>> cmp.dist_abs('ATCG', 'TAGC') 3 .. versionadded:: 0.4.0 """ alphabet = set(src) | set(tar) next_char = ord('A') lcs = self.lcs.lcsstr(src, tar) while len(lcs) > 1: while chr(next_char) in alphabet: next_char += 1 p = self.lcs.lcsstr(src, tar) src = src.replace(p, chr(next_char)) tar = tar.replace(p, chr(next_char)) alphabet.add(chr(next_char)) lcs = self.lcs.lcsstr(src, tar) d = super(BlockLevenshtein, self).dist_abs(src, tar) return d
[docs] def dist(self, src, tar): """Return the normalized block Levenshtein distance between strings. Parameters ---------- src : str Source string for comparison tar : str Target string for comparison Returns ------- float The normalized Levenshtein distance with blocks between src & tar Examples -------- >>> cmp = BlockLevenshtein() >>> round(cmp.dist('cat', 'hat'), 12) 0.333333333333 >>> round(cmp.dist('Niall', 'Neil'), 12) 0.6 >>> cmp.dist('aluminum', 'Catalan') 0.875 >>> cmp.dist('ATCG', 'TAGC') 0.75 .. versionadded:: 0.4.0 """ if src == tar: return 0.0 ins_cost, del_cost = self._cost[:2] return self.dist_abs(src, tar) / ( self._normalizer([len(src) * del_cost, len(tar) * ins_cost]) )
if __name__ == '__main__': import doctest doctest.testmod()