# -*- coding: utf-8 -*-
# Copyright 2014-2018 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
# (at your option) any later version.
#
# Abydos is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with Abydos. If not, see <http://www.gnu.org/licenses/>.
"""abydos.distance._ncd_lzma.
NCD using LZMA
"""
from __future__ import (
absolute_import,
division,
print_function,
unicode_literals,
)
from deprecation import deprecated
from ._distance import _Distance
from .. import __version__
try:
import lzma
except ImportError: # pragma: no cover
# If the system lacks the lzma library, that's fine, but lzma compression
# similarity won't be supported.
lzma = None
__all__ = ['NCDlzma', 'dist_ncd_lzma', 'sim_ncd_lzma']
[docs]class NCDlzma(_Distance):
"""Normalized Compression Distance using LZMA compression.
Cf. https://en.wikipedia.org/wiki/Lempel-Ziv-Markov_chain_algorithm
Normalized compression distance (NCD) :cite:`Cilibrasi:2005`.
.. versionadded:: 0.3.6
"""
[docs] def dist(self, src, tar):
"""Return the NCD between two strings using LZMA compression.
Parameters
----------
src : str
Source string for comparison
tar : str
Target string for comparison
Returns
-------
float
Compression distance
Raises
------
ValueError
Install the PylibLZMA module in order to use LZMA
Examples
--------
>>> cmp = NCDlzma()
>>> cmp.dist('cat', 'hat')
0.08695652173913043
>>> cmp.dist('Niall', 'Neil')
0.16
>>> cmp.dist('aluminum', 'Catalan')
0.16
>>> cmp.dist('ATCG', 'TAGC')
0.08695652173913043
.. versionadded:: 0.3.5
.. versionchanged:: 0.3.6
Encapsulated in class
"""
if src == tar:
return 0.0
src = src.encode('utf-8')
tar = tar.encode('utf-8')
if lzma is not None:
src_comp = lzma.compress(src)[14:]
tar_comp = lzma.compress(tar)[14:]
concat_comp = lzma.compress(src + tar)[14:]
concat_comp2 = lzma.compress(tar + src)[14:]
else: # pragma: no cover
raise ValueError(
'Install the PylibLZMA module in order to use LZMA'
)
return (
min(len(concat_comp), len(concat_comp2))
- min(len(src_comp), len(tar_comp))
) / max(len(src_comp), len(tar_comp))
[docs]@deprecated(
deprecated_in='0.4.0',
removed_in='0.6.0',
current_version=__version__,
details='Use the NCDlzma.dist method instead.',
)
def dist_ncd_lzma(src, tar):
"""Return the NCD between two strings using LZMA compression.
This is a wrapper for :py:meth:`NCDlzma.dist`.
Parameters
----------
src : str
Source string for comparison
tar : str
Target string for comparison
Returns
-------
float
Compression distance
Examples
--------
>>> dist_ncd_lzma('cat', 'hat')
0.08695652173913043
>>> dist_ncd_lzma('Niall', 'Neil')
0.16
>>> dist_ncd_lzma('aluminum', 'Catalan')
0.16
>>> dist_ncd_lzma('ATCG', 'TAGC')
0.08695652173913043
.. versionadded:: 0.3.5
"""
return NCDlzma().dist(src, tar)
[docs]@deprecated(
deprecated_in='0.4.0',
removed_in='0.6.0',
current_version=__version__,
details='Use the NCDlzma.sim method instead.',
)
def sim_ncd_lzma(src, tar):
"""Return the NCD similarity between two strings using LZMA compression.
This is a wrapper for :py:meth:`NCDlzma.sim`.
Parameters
----------
src : str
Source string for comparison
tar : str
Target string for comparison
Returns
-------
float
Compression similarity
Examples
--------
>>> sim_ncd_lzma('cat', 'hat')
0.9130434782608696
>>> sim_ncd_lzma('Niall', 'Neil')
0.84
>>> sim_ncd_lzma('aluminum', 'Catalan')
0.84
>>> sim_ncd_lzma('ATCG', 'TAGC')
0.9130434782608696
.. versionadded:: 0.3.5
"""
return NCDlzma().sim(src, tar)
if __name__ == '__main__':
import doctest
doctest.testmod()