abydos.distance._compression.sim_ncd_rle() - Code Metrics - Inspection of "78a222a9f7d8976f6744d263e3d6d01a2a991c27" - chrislit/abydos - Measure and Improve Code Quality continuously with Scrutinizer

Completed

Branch — master (78a222)

by Chris

created 2018-10-26 11:30 UTC

abydos.distance._compression.sim_ncd_rle() A

↳ Parent: abydos.distance._compression

Complexity

Conditions

Size

Total Lines	22
Code Lines	2

Duplication

Lines	0
Ratio	0 %

Code Coverage

Tests	2
CRAP Score	1

Importance

Changes

Metric	Value
eloc	2
dl	0
loc	22
ccs	2
cts	2
cp	1
rs	10
c	0
b	0
f	0
cc	1
nop	3
crap	1

# -*- 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.compression.

The distance.compression module implements compression distance measures.
"""

from __future__ import division, unicode_literals

from codecs import encode

from ..compression import ac_encode, ac_train, rle_encode

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__ = [
    'dist_ncd_arith',
    'dist_ncd_bwtrle',
    'dist_ncd_bz2',
    'dist_ncd_lzma',
    'dist_ncd_rle',
    'dist_ncd_zlib',
    'sim_ncd_arith',
    'sim_ncd_bwtrle',
    'sim_ncd_bz2',
    'sim_ncd_lzma',
    'sim_ncd_rle',
    'sim_ncd_zlib',
]


def dist_ncd_arith(src, tar, probs=None):
    """Return the NCD between two strings using arithmetic coding.

    Normalized compression distance (NCD) :cite:`Cilibrasi:2005`.

    :param str src: source string for comparison
    :param str tar: target string for comparison
    :param dict probs: a dictionary trained with arithmetic.train (for the
        arith compressor only)
    :returns: compression distance
    :rtype: float

    >>> dist_ncd_arith('cat', 'hat')
    0.5454545454545454
    >>> dist_ncd_arith('Niall', 'Neil')
    0.6875
    >>> dist_ncd_arith('aluminum', 'Catalan')
    0.8275862068965517
    >>> dist_ncd_arith('ATCG', 'TAGC')
    0.6923076923076923
    """
    if src == tar:
        return 0.0

    if probs is None:
        # lacking a reasonable dictionary, train on the strings themselves
        probs = ac_train(src + tar)
    src_comp = ac_encode(src, probs)[1]
    tar_comp = ac_encode(tar, probs)[1]
    concat_comp = ac_encode(src + tar, probs)[1]
    concat_comp2 = ac_encode(tar + src, probs)[1]

    return (min(concat_comp, concat_comp2) - min(src_comp, tar_comp)) / max(
        src_comp, tar_comp
    )


def sim_ncd_arith(src, tar, probs=None):
    """Return the NCD similarity between two strings using arithmetic coding.

    Normalized compression distance (NCD) :cite:`Cilibrasi:2005`.

    :param str src: source string for comparison
    :param str tar: target string for comparison
    :param dict probs: a dictionary trained with ac_train (for the
        arith compressor only)
    :returns: compression similarity
    :rtype: float

    >>> sim_ncd_arith('cat', 'hat')
    0.4545454545454546
    >>> sim_ncd_arith('Niall', 'Neil')
    0.3125
    >>> sim_ncd_arith('aluminum', 'Catalan')
    0.1724137931034483
    >>> sim_ncd_arith('ATCG', 'TAGC')
    0.3076923076923077
    """
    return 1 - dist_ncd_arith(src, tar, probs)


def dist_ncd_rle(src, tar, use_bwt=False):
    """Return the NCD between two strings using RLE.

    Normalized compression distance (NCD) :cite:`Cilibrasi:2005`.

    :param str src: source string for comparison
    :param str tar: target string for comparison
    :param bool use_bwt: boolean indicating whether to perform BWT encoding
        before RLE encoding
    :returns: compression distance
    :rtype: float

    >>> dist_ncd_rle('cat', 'hat')
    1.0
    >>> dist_ncd_rle('Niall', 'Neil')
    1.0
    >>> dist_ncd_rle('aluminum', 'Catalan')
    1.0
    >>> dist_ncd_rle('ATCG', 'TAGC')
    1.0
    """
    if src == tar:
        return 0.0

    src_comp = rle_encode(src, use_bwt)
    tar_comp = rle_encode(tar, use_bwt)
    concat_comp = rle_encode(src + tar, use_bwt)
    concat_comp2 = rle_encode(tar + src, use_bwt)

    return (
        min(len(concat_comp), len(concat_comp2))
        - min(len(src_comp), len(tar_comp))
    ) / max(len(src_comp), len(tar_comp))


def sim_ncd_rle(src, tar, use_bwt=False):
    """Return the NCD similarity between two strings using RLE.

    Normalized compression distance (NCD) :cite:`Cilibrasi:2005`.

    :param str src: source string for comparison
    :param str tar: target string for comparison
    :param bool use_bwt: boolean indicating whether to perform BWT encoding
        before RLE encoding
    :returns: compression similarity
    :rtype: float

    >>> sim_ncd_rle('cat', 'hat')
    0.0
    >>> sim_ncd_rle('Niall', 'Neil')
    0.0
    >>> sim_ncd_rle('aluminum', 'Catalan')
    0.0
    >>> sim_ncd_rle('ATCG', 'TAGC')
    0.0
    """
    return 1 - dist_ncd_rle(src, tar, use_bwt)


def dist_ncd_bwtrle(src, tar):
    """Return the NCD between two strings using BWT plus RLE.

    Normalized compression distance (NCD) :cite:`Cilibrasi:2005`.

    :param str src: source string for comparison
    :param str tar: target string for comparison
    :returns: compression distance
    :rtype: float

    >>> dist_ncd_bwtrle('cat', 'hat')
    0.75
    >>> dist_ncd_bwtrle('Niall', 'Neil')
    0.8333333333333334
    >>> dist_ncd_bwtrle('aluminum', 'Catalan')
    1.0
    >>> dist_ncd_bwtrle('ATCG', 'TAGC')
    0.8
    """
    return dist_ncd_rle(src, tar, True)


def sim_ncd_bwtrle(src, tar):
    """Return the NCD similarity between two strings using BWT plus RLE.

    Normalized compression distance (NCD) :cite:`Cilibrasi:2005`.

    :param str src: source string for comparison
    :param str tar: target string for comparison
    :returns: compression similarity
    :rtype: float

    >>> sim_ncd_bwtrle('cat', 'hat')
    0.25
    >>> sim_ncd_bwtrle('Niall', 'Neil')
    0.16666666666666663
    >>> sim_ncd_bwtrle('aluminum', 'Catalan')
    0.0
    >>> sim_ncd_bwtrle('ATCG', 'TAGC')
    0.19999999999999996
    """
    return 1 - dist_ncd_bwtrle(src, tar)


def dist_ncd_zlib(src, tar):

    """Return the NCD between two strings using zlib compression.

    Normalized compression distance (NCD) :cite:`Cilibrasi:2005`.

    :param str src: source string for comparison
    :param str tar: target string for comparison
    :returns: compression distance
    :rtype: float

    >>> dist_ncd_zlib('cat', 'hat')
    0.3333333333333333
    >>> dist_ncd_zlib('Niall', 'Neil')
    0.45454545454545453
    >>> dist_ncd_zlib('aluminum', 'Catalan')
    0.5714285714285714
    >>> dist_ncd_zlib('ATCG', 'TAGC')
    0.4
    """
    if src == tar:
        return 0.0

    src = src.encode('utf-8')
    tar = tar.encode('utf-8')

    src_comp = encode(src, 'zlib_codec')[2:]
    tar_comp = encode(tar, 'zlib_codec')[2:]
    concat_comp = encode(src + tar, 'zlib_codec')[2:]
    concat_comp2 = encode(tar + src, 'zlib_codec')[2:]

    return (
        min(len(concat_comp), len(concat_comp2))
        - min(len(src_comp), len(tar_comp))
    ) / max(len(src_comp), len(tar_comp))


def sim_ncd_zlib(src, tar):
    """Return the NCD similarity between two strings using zlib compression.

    Normalized compression distance (NCD) :cite:`Cilibrasi:2005`.

    :param str src: source string for comparison
    :param str tar: target string for comparison
    :returns: compression similarity
    :rtype: float

    >>> sim_ncd_zlib('cat', 'hat')
    0.6666666666666667
    >>> sim_ncd_zlib('Niall', 'Neil')
    0.5454545454545454
    >>> sim_ncd_zlib('aluminum', 'Catalan')
    0.4285714285714286
    >>> sim_ncd_zlib('ATCG', 'TAGC')
    0.6
    """
    return 1 - dist_ncd_zlib(src, tar)


def dist_ncd_bz2(src, tar):

    """Return the NCD between two strings using bz2 compression.

    Normalized compression distance (NCD) :cite:`Cilibrasi:2005`.

    :param str src: source string for comparison
    :param str tar: target string for comparison
    :returns: compression distance
    :rtype: float

    >>> dist_ncd_bz2('cat', 'hat')
    0.08
    >>> dist_ncd_bz2('Niall', 'Neil')
    0.037037037037037035
    >>> dist_ncd_bz2('aluminum', 'Catalan')
    0.20689655172413793
    >>> dist_ncd_bz2('ATCG', 'TAGC')
    0.037037037037037035
    """
    if src == tar:
        return 0.0

    src = src.encode('utf-8')
    tar = tar.encode('utf-8')

    src_comp = encode(src, 'bz2_codec')[15:]
    tar_comp = encode(tar, 'bz2_codec')[15:]
    concat_comp = encode(src + tar, 'bz2_codec')[15:]
    concat_comp2 = encode(tar + src, 'bz2_codec')[15:]

    return (
        min(len(concat_comp), len(concat_comp2))
        - min(len(src_comp), len(tar_comp))
    ) / max(len(src_comp), len(tar_comp))


def sim_ncd_bz2(src, tar):
    """Return the NCD similarity between two strings using bz2 compression.

    Normalized compression distance (NCD) :cite:`Cilibrasi:2005`.

    :param str src: source string for comparison
    :param str tar: target string for comparison
    :returns: compression similarity
    :rtype: float

    >>> sim_ncd_bz2('cat', 'hat')
    0.92
    >>> sim_ncd_bz2('Niall', 'Neil')
    0.962962962962963
    >>> sim_ncd_bz2('aluminum', 'Catalan')
    0.7931034482758621
    >>> sim_ncd_bz2('ATCG', 'TAGC')
    0.962962962962963
    """
    return 1 - dist_ncd_bz2(src, tar)


def dist_ncd_lzma(src, tar):
    """Return the NCD between two strings using lzma compression.

    Normalized compression distance (NCD) :cite:`Cilibrasi:2005`.

    :param str src: source string for comparison
    :param str tar: target string for comparison
    :returns: compression distance
    :rtype: float

    >>> 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
    """
    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 '
            + 'compression similarity'
        )

    return (
        min(len(concat_comp), len(concat_comp2))
        - min(len(src_comp), len(tar_comp))
    ) / max(len(src_comp), len(tar_comp))


def sim_ncd_lzma(src, tar):
    """Return the NCD similarity between two strings using lzma compression.

    Normalized compression distance (NCD) :cite:`Cilibrasi:2005`.

    :param str src: source string for comparison
    :param str tar: target string for comparison
    :returns: compression similarity
    :rtype: float

    >>> 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
    """
    return 1 - dist_ncd_lzma(src, tar)


if __name__ == '__main__':
    import doctest

    doctest.testmod()


1			# -- coding: utf-8 --
2
3			# Copyright 2014-2018 by Christopher C. Little.
4			# This file is part of Abydos.
5			#
6			# Abydos is free software: you can redistribute it and/or modify
7			# it under the terms of the GNU General Public License as published by
8			# the Free Software Foundation, either version 3 of the License, or
9			# (at your option) any later version.
10			#
11			# Abydos is distributed in the hope that it will be useful,
12			# but WITHOUT ANY WARRANTY; without even the implied warranty of
13			# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
14			# GNU General Public License for more details.
15			#
16			# You should have received a copy of the GNU General Public License
17			# along with Abydos. If not, see <http://www.gnu.org/licenses/>.
18
19	1		"""abydos.distance.compression.
20
21			The distance.compression module implements compression distance measures.
22			"""
23
24	1		from __future__ import division, unicode_literals
25
26	1		from codecs import encode
27
28	1		from ..compression import ac_encode, ac_train, rle_encode
29
30	1		try:
31	1		import lzma
32			except ImportError: # pragma: no cover
33			# If the system lacks the lzma library, that's fine, but lzma compression
34			# similarity won't be supported.
35			lzma = None
36
37	1		__all__ = [
38			'dist_ncd_arith',
39			'dist_ncd_bwtrle',
40			'dist_ncd_bz2',
41			'dist_ncd_lzma',
42			'dist_ncd_rle',
43			'dist_ncd_zlib',
44			'sim_ncd_arith',
45			'sim_ncd_bwtrle',
46			'sim_ncd_bz2',
47			'sim_ncd_lzma',
48			'sim_ncd_rle',
49			'sim_ncd_zlib',
50			]
51
52
53	1		def dist_ncd_arith(src, tar, probs=None):
54			"""Return the NCD between two strings using arithmetic coding.
55
56			Normalized compression distance (NCD) :cite:`Cilibrasi:2005`.
57
58			:param str src: source string for comparison
59			:param str tar: target string for comparison
60			:param dict probs: a dictionary trained with arithmetic.train (for the
61			arith compressor only)
62			:returns: compression distance
63			:rtype: float
64
65			>>> dist_ncd_arith('cat', 'hat')
66			0.5454545454545454
67			>>> dist_ncd_arith('Niall', 'Neil')
68			0.6875
69			>>> dist_ncd_arith('aluminum', 'Catalan')
70			0.8275862068965517
71			>>> dist_ncd_arith('ATCG', 'TAGC')
72			0.6923076923076923
73			"""
74	1		if src == tar:
75	1		return 0.0
76
77	1		if probs is None:
78			# lacking a reasonable dictionary, train on the strings themselves
79	1		probs = ac_train(src + tar)
80	1		src_comp = ac_encode(src, probs)[1]
81	1		tar_comp = ac_encode(tar, probs)[1]
82	1		concat_comp = ac_encode(src + tar, probs)[1]
83	1		concat_comp2 = ac_encode(tar + src, probs)[1]
84
85	1		return (min(concat_comp, concat_comp2) - min(src_comp, tar_comp)) / max(
86			src_comp, tar_comp
87			)
88
89
90	1		def sim_ncd_arith(src, tar, probs=None):
91			"""Return the NCD similarity between two strings using arithmetic coding.
92
93			Normalized compression distance (NCD) :cite:`Cilibrasi:2005`.
94
95			:param str src: source string for comparison
96			:param str tar: target string for comparison
97			:param dict probs: a dictionary trained with ac_train (for the
98			arith compressor only)
99			:returns: compression similarity
100			:rtype: float
101
102			>>> sim_ncd_arith('cat', 'hat')
103			0.4545454545454546
104			>>> sim_ncd_arith('Niall', 'Neil')
105			0.3125
106			>>> sim_ncd_arith('aluminum', 'Catalan')
107			0.1724137931034483
108			>>> sim_ncd_arith('ATCG', 'TAGC')
109			0.3076923076923077
110			"""
111	1		return 1 - dist_ncd_arith(src, tar, probs)
112
113
114	1		def dist_ncd_rle(src, tar, use_bwt=False):
115			"""Return the NCD between two strings using RLE.
116
117			Normalized compression distance (NCD) :cite:`Cilibrasi:2005`.
118
119			:param str src: source string for comparison
120			:param str tar: target string for comparison
121			:param bool use_bwt: boolean indicating whether to perform BWT encoding
122			before RLE encoding
123			:returns: compression distance
124			:rtype: float
125
126			>>> dist_ncd_rle('cat', 'hat')
127			1.0
128			>>> dist_ncd_rle('Niall', 'Neil')
129			1.0
130			>>> dist_ncd_rle('aluminum', 'Catalan')
131			1.0
132			>>> dist_ncd_rle('ATCG', 'TAGC')
133			1.0
134			"""
135	1		if src == tar:
136	1		return 0.0
137
138	1		src_comp = rle_encode(src, use_bwt)
139	1		tar_comp = rle_encode(tar, use_bwt)
140	1		concat_comp = rle_encode(src + tar, use_bwt)
141	1		concat_comp2 = rle_encode(tar + src, use_bwt)
142
143	1		return (
144			min(len(concat_comp), len(concat_comp2))
145			- min(len(src_comp), len(tar_comp))
146			) / max(len(src_comp), len(tar_comp))
147
148
149	1		def sim_ncd_rle(src, tar, use_bwt=False):
150			"""Return the NCD similarity between two strings using RLE.
151
152			Normalized compression distance (NCD) :cite:`Cilibrasi:2005`.
153
154			:param str src: source string for comparison
155			:param str tar: target string for comparison
156			:param bool use_bwt: boolean indicating whether to perform BWT encoding
157			before RLE encoding
158			:returns: compression similarity
159			:rtype: float
160
161			>>> sim_ncd_rle('cat', 'hat')
162			0.0
163			>>> sim_ncd_rle('Niall', 'Neil')
164			0.0
165			>>> sim_ncd_rle('aluminum', 'Catalan')
166			0.0
167			>>> sim_ncd_rle('ATCG', 'TAGC')
168			0.0
169			"""
170	1		return 1 - dist_ncd_rle(src, tar, use_bwt)
171
172
173	1		def dist_ncd_bwtrle(src, tar):
174			"""Return the NCD between two strings using BWT plus RLE.
175
176			Normalized compression distance (NCD) :cite:`Cilibrasi:2005`.
177
178			:param str src: source string for comparison
179			:param str tar: target string for comparison
180			:returns: compression distance
181			:rtype: float
182
183			>>> dist_ncd_bwtrle('cat', 'hat')
184			0.75
185			>>> dist_ncd_bwtrle('Niall', 'Neil')
186			0.8333333333333334
187			>>> dist_ncd_bwtrle('aluminum', 'Catalan')
188			1.0
189			>>> dist_ncd_bwtrle('ATCG', 'TAGC')
190			0.8
191			"""
192	1		return dist_ncd_rle(src, tar, True)
193
194
195	1		def sim_ncd_bwtrle(src, tar):
196			"""Return the NCD similarity between two strings using BWT plus RLE.
197
198			Normalized compression distance (NCD) :cite:`Cilibrasi:2005`.
199
200			:param str src: source string for comparison
201			:param str tar: target string for comparison
202			:returns: compression similarity
203			:rtype: float
204
205			>>> sim_ncd_bwtrle('cat', 'hat')
206			0.25
207			>>> sim_ncd_bwtrle('Niall', 'Neil')
208			0.16666666666666663
209			>>> sim_ncd_bwtrle('aluminum', 'Catalan')
210			0.0
211			>>> sim_ncd_bwtrle('ATCG', 'TAGC')
212			0.19999999999999996
213			"""
214	1		return 1 - dist_ncd_bwtrle(src, tar)
215
216
217	1	View Code Duplication	def dist_ncd_zlib(src, tar):
			0 ignored issues – show Duplication introduced 2018-10-22 23:53 UTC by Report Bug Copy Issue Report This code seems to be duplicated in your project. Loading history...
218			"""Return the NCD between two strings using zlib compression.
219
220			Normalized compression distance (NCD) :cite:`Cilibrasi:2005`.
221
222			:param str src: source string for comparison
223			:param str tar: target string for comparison
224			:returns: compression distance
225			:rtype: float
226
227			>>> dist_ncd_zlib('cat', 'hat')
228			0.3333333333333333
229			>>> dist_ncd_zlib('Niall', 'Neil')
230			0.45454545454545453
231			>>> dist_ncd_zlib('aluminum', 'Catalan')
232			0.5714285714285714
233			>>> dist_ncd_zlib('ATCG', 'TAGC')
234			0.4
235			"""
236	1		if src == tar:
237	1		return 0.0
238
239	1		src = src.encode('utf-8')
240	1		tar = tar.encode('utf-8')
241
242	1		src_comp = encode(src, 'zlib_codec')[2:]
243	1		tar_comp = encode(tar, 'zlib_codec')[2:]
244	1		concat_comp = encode(src + tar, 'zlib_codec')[2:]
245	1		concat_comp2 = encode(tar + src, 'zlib_codec')[2:]
246
247	1		return (
248			min(len(concat_comp), len(concat_comp2))
249			- min(len(src_comp), len(tar_comp))
250			) / max(len(src_comp), len(tar_comp))
251
252
253	1		def sim_ncd_zlib(src, tar):
254			"""Return the NCD similarity between two strings using zlib compression.
255
256			Normalized compression distance (NCD) :cite:`Cilibrasi:2005`.
257
258			:param str src: source string for comparison
259			:param str tar: target string for comparison
260			:returns: compression similarity
261			:rtype: float
262
263			>>> sim_ncd_zlib('cat', 'hat')
264			0.6666666666666667
265			>>> sim_ncd_zlib('Niall', 'Neil')
266			0.5454545454545454
267			>>> sim_ncd_zlib('aluminum', 'Catalan')
268			0.4285714285714286
269			>>> sim_ncd_zlib('ATCG', 'TAGC')
270			0.6
271			"""
272	1		return 1 - dist_ncd_zlib(src, tar)
273
274
275	1	View Code Duplication	def dist_ncd_bz2(src, tar):
			0 ignored issues – show Duplication introduced 2018-10-22 23:53 UTC by Report Bug Copy Issue Report This code seems to be duplicated in your project. Loading history...
276			"""Return the NCD between two strings using bz2 compression.
277
278			Normalized compression distance (NCD) :cite:`Cilibrasi:2005`.
279
280			:param str src: source string for comparison
281			:param str tar: target string for comparison
282			:returns: compression distance
283			:rtype: float
284
285			>>> dist_ncd_bz2('cat', 'hat')
286			0.08
287			>>> dist_ncd_bz2('Niall', 'Neil')
288			0.037037037037037035
289			>>> dist_ncd_bz2('aluminum', 'Catalan')
290			0.20689655172413793
291			>>> dist_ncd_bz2('ATCG', 'TAGC')
292			0.037037037037037035
293			"""
294	1		if src == tar:
295	1		return 0.0
296
297	1		src = src.encode('utf-8')
298	1		tar = tar.encode('utf-8')
299
300	1		src_comp = encode(src, 'bz2_codec')[15:]
301	1		tar_comp = encode(tar, 'bz2_codec')[15:]
302	1		concat_comp = encode(src + tar, 'bz2_codec')[15:]
303	1		concat_comp2 = encode(tar + src, 'bz2_codec')[15:]
304
305	1		return (
306			min(len(concat_comp), len(concat_comp2))
307			- min(len(src_comp), len(tar_comp))
308			) / max(len(src_comp), len(tar_comp))
309
310
311	1		def sim_ncd_bz2(src, tar):
312			"""Return the NCD similarity between two strings using bz2 compression.
313
314			Normalized compression distance (NCD) :cite:`Cilibrasi:2005`.
315
316			:param str src: source string for comparison
317			:param str tar: target string for comparison
318			:returns: compression similarity
319			:rtype: float
320
321			>>> sim_ncd_bz2('cat', 'hat')
322			0.92
323			>>> sim_ncd_bz2('Niall', 'Neil')
324			0.962962962962963
325			>>> sim_ncd_bz2('aluminum', 'Catalan')
326			0.7931034482758621
327			>>> sim_ncd_bz2('ATCG', 'TAGC')
328			0.962962962962963
329			"""
330	1		return 1 - dist_ncd_bz2(src, tar)
331
332
333	1		def dist_ncd_lzma(src, tar):
334			"""Return the NCD between two strings using lzma compression.
335
336			Normalized compression distance (NCD) :cite:`Cilibrasi:2005`.
337
338			:param str src: source string for comparison
339			:param str tar: target string for comparison
340			:returns: compression distance
341			:rtype: float
342
343			>>> dist_ncd_lzma('cat', 'hat')
344			0.08695652173913043
345			>>> dist_ncd_lzma('Niall', 'Neil')
346			0.16
347			>>> dist_ncd_lzma('aluminum', 'Catalan')
348			0.16
349			>>> dist_ncd_lzma('ATCG', 'TAGC')
350			0.08695652173913043
351			"""
352			if src == tar:
353			return 0.0
354
355			src = src.encode('utf-8')
356			tar = tar.encode('utf-8')
357
358			if lzma is not None:
359			src_comp = lzma.compress(src)[14:]
360			tar_comp = lzma.compress(tar)[14:]
361			concat_comp = lzma.compress(src + tar)[14:]
362			concat_comp2 = lzma.compress(tar + src)[14:]
363			else: # pragma: no cover
364			raise ValueError(
365			'Install the PylibLZMA module in order to use lzma '
366			+ 'compression similarity'
367			)
368
369			return (
370			min(len(concat_comp), len(concat_comp2))
371			- min(len(src_comp), len(tar_comp))
372			) / max(len(src_comp), len(tar_comp))
373
374
375	1		def sim_ncd_lzma(src, tar):
376			"""Return the NCD similarity between two strings using lzma compression.
377
378			Normalized compression distance (NCD) :cite:`Cilibrasi:2005`.
379
380			:param str src: source string for comparison
381			:param str tar: target string for comparison
382			:returns: compression similarity
383			:rtype: float
384
385			>>> sim_ncd_lzma('cat', 'hat')
386			0.9130434782608696
387			>>> sim_ncd_lzma('Niall', 'Neil')
388			0.84
389			>>> sim_ncd_lzma('aluminum', 'Catalan')
390			0.84
391			>>> sim_ncd_lzma('ATCG', 'TAGC')
392			0.9130434782608696
393			"""
394			return 1 - dist_ncd_lzma(src, tar)
395
396
397			if __name__ == '__main__':
398			import doctest
399
400			doctest.testmod()
401

chrislit / abydos

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abydos.distance._compression.sim_ncd_rle() A

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