Source code for abydos.distance._chebyshev

# Copyright 2018-2020 by Christopher C. Little.
# This file is part of Abydos.
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"""abydos.distance._chebyshev.

Chebyshev distance
"""

from deprecation import deprecated

from ._minkowski import Minkowski
from .. import __version__

__all__ = ['Chebyshev', 'chebyshev']


[docs]class Chebyshev(Minkowski): r"""Chebyshev distance. Euclidean distance is the chessboard distance, equivalent to Minkowski distance in :math:`L^\infty`-space. .. versionadded:: 0.3.6 """ def __init__( self, alphabet=0, tokenizer=None, intersection_type='crisp', **kwargs ): """Initialize Euclidean instance. Parameters ---------- alphabet : collection or int The values or size of the alphabet tokenizer : _Tokenizer A tokenizer instance from the :py:mod:`abydos.tokenizer` package intersection_type : str Specifies the intersection type, and set type as a result: See :ref:`intersection_type <intersection_type>` description in :py:class:`_TokenDistance` for details. **kwargs Arbitrary keyword arguments Other Parameters ---------------- qval : int The length of each q-gram. Using this parameter and tokenizer=None will cause the instance to use the QGram tokenizer with this q value. metric : _Distance A string distance measure class for use in the ``soft`` and ``fuzzy`` variants. threshold : float A threshold value, similarities above which are counted as members of the intersection for the ``fuzzy`` variant. .. versionadded:: 0.4.0 """ super(Chebyshev, self).__init__( pval=float('inf'), alphabet=alphabet, tokenizer=tokenizer, intersection_type=intersection_type, **kwargs )
[docs] def dist_abs(self, src, tar): r"""Return the Chebyshev distance between two strings. Parameters ---------- src : str Source string (or QGrams/Counter objects) for comparison tar : str Target string (or QGrams/Counter objects) for comparison Returns ------- float The Chebyshev distance Examples -------- >>> cmp = Chebyshev() >>> cmp.dist_abs('cat', 'hat') 1.0 >>> cmp.dist_abs('Niall', 'Neil') 1.0 >>> cmp.dist_abs('Colin', 'Cuilen') 1.0 >>> cmp.dist_abs('ATCG', 'TAGC') 1.0 >>> cmp = Chebyshev(qval=1) >>> cmp.dist_abs('ATCG', 'TAGC') 0.0 >>> cmp.dist_abs('ATCGATTCGGAATTTC', 'TAGCATAATCGCCG') 3.0 .. versionadded:: 0.3.0 .. versionchanged:: 0.3.6 Encapsulated in class """ return super(Chebyshev, self).dist_abs(src, tar, False)
[docs] def sim(self, *args, **kwargs): """Raise exception when called. Parameters ---------- *args Variable length argument list **kwargs Arbitrary keyword arguments Raises ------ NotImplementedError Method disabled for Chebyshev distance .. versionadded:: 0.3.6 """ raise NotImplementedError('Method disabled for Chebyshev distance.')
[docs] def dist(self, *args, **kwargs): """Raise exception when called. Parameters ---------- *args Variable length argument list **kwargs Arbitrary keyword arguments Raises ------ NotImplementedError Method disabled for Chebyshev distance .. versionadded:: 0.3.6 """ raise NotImplementedError('Method disabled for Chebyshev distance.')
[docs]@deprecated( deprecated_in='0.4.0', removed_in='0.6.0', current_version=__version__, details='Use the Chebyshev.dist_abs method instead.', ) def chebyshev(src, tar, qval=2, alphabet=0): r"""Return the Chebyshev distance between two strings. This is a wrapper for the :py:meth:`Chebyshev.dist_abs`. Parameters ---------- src : str Source string (or QGrams/Counter objects) for comparison tar : str Target string (or QGrams/Counter objects) for comparison qval : int The length of each q-gram alphabet : collection or int The values or size of the alphabet Returns ------- float The Chebyshev distance Examples -------- >>> chebyshev('cat', 'hat') 1.0 >>> chebyshev('Niall', 'Neil') 1.0 >>> chebyshev('Colin', 'Cuilen') 1.0 >>> chebyshev('ATCG', 'TAGC') 1.0 >>> chebyshev('ATCG', 'TAGC', qval=1) 0.0 >>> chebyshev('ATCGATTCGGAATTTC', 'TAGCATAATCGCCG', qval=1) 3.0 .. versionadded:: 0.3.0 """ return Chebyshev(alphabet=alphabet, qval=qval).dist_abs(src, tar)
if __name__ == '__main__': import doctest doctest.testmod()