Source code for abydos.distance._indel

# Copyright 2014-2020 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
# the Free Software Foundation, either version 3 of the License, or
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#
# Abydos is distributed in the hope that it will be useful,
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
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"""abydos.distance._indel.

Indel distance
"""

from deprecation import deprecated

from ._levenshtein import Levenshtein
from .. import __version__

__all__ = ['Indel', 'dist_indel', 'indel', 'sim_indel']


[docs]class Indel(Levenshtein): """Indel distance. This is equivalent to Levenshtein distance, when only inserts and deletes are possible. .. versionadded:: 0.3.6 """ def __init__(self, **kwargs): """Initialize Levenshtein instance. Parameters ---------- **kwargs Arbitrary keyword arguments .. versionadded:: 0.4.0 """ super(Indel, self).__init__( mode='lev', cost=(1, 1, float('inf'), float('inf')), **kwargs )
[docs] def dist(self, src, tar): """Return the normalized indel distance between two strings. This is equivalent to normalized Levenshtein distance, when only inserts and deletes are possible. Parameters ---------- src : str Source string for comparison tar : str Target string for comparison Returns ------- float Normalized indel distance Examples -------- >>> cmp = Indel() >>> round(cmp.dist('cat', 'hat'), 12) 0.333333333333 >>> round(cmp.dist('Niall', 'Neil'), 12) 0.333333333333 >>> round(cmp.dist('Colin', 'Cuilen'), 12) 0.454545454545 >>> cmp.dist('ATCG', 'TAGC') 0.5 .. versionadded:: 0.3.6 """ if src == tar: return 0.0 return self.dist_abs(src, tar) / (len(src) + len(tar))
[docs]@deprecated( deprecated_in='0.4.0', removed_in='0.6.0', current_version=__version__, details='Use the Indel.dist_abs method instead.', ) def indel(src, tar): """Return the indel distance between two strings. Parameters ---------- src : str Source string for comparison tar : str Target string for comparison Returns ------- int Indel distance Examples -------- >>> indel('cat', 'hat') 2 >>> indel('Niall', 'Neil') 3 >>> indel('Colin', 'Cuilen') 5 >>> indel('ATCG', 'TAGC') 4 .. versionadded:: 0.3.0 """ return Indel().dist_abs(src, tar)
[docs]@deprecated( deprecated_in='0.4.0', removed_in='0.6.0', current_version=__version__, details='Use the Indel.dist method instead.', ) def dist_indel(src, tar): """Return the normalized indel distance between two strings. This is equivalent to normalized Levenshtein distance, when only inserts and deletes are possible. Parameters ---------- src : str Source string for comparison tar : str Target string for comparison Returns ------- float Normalized indel distance Examples -------- >>> round(dist_indel('cat', 'hat'), 12) 0.333333333333 >>> round(dist_indel('Niall', 'Neil'), 12) 0.333333333333 >>> round(dist_indel('Colin', 'Cuilen'), 12) 0.454545454545 >>> dist_indel('ATCG', 'TAGC') 0.5 .. versionadded:: 0.3.0 """ return Indel().dist(src, tar)
[docs]@deprecated( deprecated_in='0.4.0', removed_in='0.6.0', current_version=__version__, details='Use the Indel.sim method instead.', ) def sim_indel(src, tar): """Return the normalized indel similarity of two strings. This is equivalent to normalized Levenshtein similarity, when only inserts and deletes are possible. Parameters ---------- src : str Source string for comparison tar : str Target string for comparison Returns ------- float Normalized indel similarity Examples -------- >>> round(sim_indel('cat', 'hat'), 12) 0.666666666667 >>> round(sim_indel('Niall', 'Neil'), 12) 0.666666666667 >>> round(sim_indel('Colin', 'Cuilen'), 12) 0.545454545455 >>> sim_indel('ATCG', 'TAGC') 0.5 .. versionadded:: 0.3.0 """ return Indel().sim(src, tar)
if __name__ == '__main__': import doctest doctest.testmod()