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abydos.distance._horn_morisita   A

Complexity

Total Complexity 10

Size/Duplication

Total Lines 146
Duplicated Lines 0 %

Test Coverage

Coverage 100%

Importance

Changes 0
Metric Value
wmc 10
eloc 40
dl 0
loc 146
ccs 33
cts 33
cp 1
rs 10
c 0
b 0
f 0

2 Methods

Rating   Name   Duplication   Size   Complexity  
A HornMorisita.__init__() 0 13 1
C HornMorisita.sim() 0 61 9
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# -*- coding: utf-8 -*-
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# Copyright 2019 by Christopher C. Little.
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# This file is part of Abydos.
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#
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# Abydos is free software: you can redistribute it and/or modify
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# it under the terms of the GNU General Public License as published by
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# the Free Software Foundation, either version 3 of the License, or
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# (at your option) any later version.
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#
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# Abydos is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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# GNU General Public License for more details.
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#
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# You should have received a copy of the GNU General Public License
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# along with Abydos. If not, see <http://www.gnu.org/licenses/>.
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"""abydos.distance._horn_morisita.
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Horn-Morisita index of overlap
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"""
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from __future__ import (
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    absolute_import,
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    division,
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    print_function,
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    unicode_literals,
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)
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from ._token_distance import _TokenDistance
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__all__ = ['HornMorisita']
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class HornMorisita(_TokenDistance):
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    r"""Horn-Morisita index of overlap.
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    Horn-Morisita index of overlap :cite:`Horn:1966`, given two populations X
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    and Y drawn from S species, is:
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    .. math::
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        sim_{Horn-Morisita}(X, Y) =
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        C_{\lambda} = \frac{2\sum_{i=1}^S x_i y_i}
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        {(\hat{\lambda}_x + \hat{\lambda}_y)XY}
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    where
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    .. math::
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        X = \sum_{i=1}^S x_i  ~~;~~  Y = \sum_{i=1}^S y_i
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    .. math::
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        \hat{\lambda}_x = \frac{\sum_{i=1}^S x_i^2}{X^2} ~~;~~
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        \hat{\lambda}_y = \frac{\sum_{i=1}^S y_i^2}{Y^2}
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    Observe that this is identical to Morisita similarity, except for the
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    definition of the :math:`\lambda` values in the denominator.
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    .. versionadded:: 0.4.1
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    """
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    def __init__(self, **kwargs):
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        """Initialize HornMorisita instance.
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        Parameters
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        ----------
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        **kwargs
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            Arbitrary keyword arguments
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        .. versionadded:: 0.4.1
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        """
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        super(HornMorisita, self).__init__(**kwargs)
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    def sim(self, src, tar):
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        """Return the Horn-Morisita similarity of two strings.
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        Parameters
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        ----------
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        src : str
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            Source string for comparison
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        tar : str
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            Target string for comparison
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        Returns
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        -------
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        float
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            Horn-Morisita similarity
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        Examples
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        --------
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        >>> cmp = HornMorisita()
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        >>> cmp.sim('cat', 'hat')
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        0.5
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        >>> cmp.sim('Niall', 'Neil')
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        0.3636363636363636
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        >>> cmp.sim('aluminum', 'Catalan')
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        0.10650887573964497
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        >>> cmp.sim('ATCG', 'TAGC')
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        0.0
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        .. versionadded:: 0.4.1
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        """
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        self._tokenize(src, tar)
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        intersection = self._intersection()
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        src_card = self._src_card()
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        tar_card = self._tar_card()
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        src_lambda = 0
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        tar_lambda = 0
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        for val in self._src_tokens.values():
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            src_lambda += val * val
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        if src_lambda:
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            src_lambda /= src_card * src_card
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        for val in self._tar_tokens.values():
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            tar_lambda += val * val
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        if tar_lambda:
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            tar_lambda /= tar_card * tar_card
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        sim = 0
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        for symbol in intersection.keys():
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            sim += self._src_tokens[symbol] * self._tar_tokens[symbol]
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        sim *= 2
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        if src_card:
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            sim /= src_card
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        if tar_card:
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            sim /= tar_card
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        if src_lambda + tar_lambda:
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            sim /= src_lambda + tar_lambda
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        return sim
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if __name__ == '__main__':
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    import doctest
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    doctest.testmod()
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