Update chardet packages 3.0.4 (9b8c5c2) → 4.0.0 (b3d867a).

This commit is contained in:
JackDandy 2018-03-24 06:20:00 +00:00
parent 631c79c2a2
commit 2e0de9480c
17 changed files with 32955 additions and 1614 deletions

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@ -2,6 +2,7 @@
* Update backports/ssl_match_hostname 3.5.0.1 (r18) to 3.7.0.1 (r28)
* Update cachecontrol library 0.12.3 (db54c40) to 0.12.4 (bd94f7e)
* Update chardet packages 3.0.4 (9b8c5c2) to 4.0.0 (b3d867a)
[develop changelog]

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@ -16,11 +16,14 @@
######################### END LICENSE BLOCK #########################
from .compat import PY2, PY3
from .universaldetector import UniversalDetector
from .enums import InputState
from .version import __version__, VERSION
__all__ = ['UniversalDetector', 'detect', 'detect_all', '__version__', 'VERSION']
def detect(byte_str):
"""
Detect the encoding of the given byte string.
@ -37,3 +40,43 @@ def detect(byte_str):
detector = UniversalDetector()
detector.feed(byte_str)
return detector.close()
def detect_all(byte_str):
"""
Detect all the possible encodings of the given byte string.
:param byte_str: The byte sequence to examine.
:type byte_str: ``bytes`` or ``bytearray``
"""
if not isinstance(byte_str, bytearray):
if not isinstance(byte_str, bytes):
raise TypeError('Expected object of type bytes or bytearray, got: '
'{0}'.format(type(byte_str)))
else:
byte_str = bytearray(byte_str)
detector = UniversalDetector()
detector.feed(byte_str)
detector.close()
if detector._input_state == InputState.HIGH_BYTE:
results = []
for prober in detector._charset_probers:
if prober.get_confidence() > detector.MINIMUM_THRESHOLD:
charset_name = prober.charset_name
lower_charset_name = prober.charset_name.lower()
# Use Windows encoding name instead of ISO-8859 if we saw any
# extra Windows-specific bytes
if lower_charset_name.startswith('iso-8859'):
if detector._has_win_bytes:
charset_name = detector.ISO_WIN_MAP.get(lower_charset_name,
charset_name)
results.append({
'encoding': charset_name,
'confidence': prober.get_confidence()
})
if len(results) > 0:
return sorted(results, key=lambda result: -result['confidence'])
return [detector.result]

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@ -25,10 +25,12 @@ import sys
if sys.version_info < (3, 0):
PY2 = True
PY3 = False
base_str = (str, unicode)
string_types = (str, unicode)
text_type = unicode
iteritems = dict.iteritems
else:
PY2 = False
PY3 = True
base_str = (bytes, str)
string_types = (bytes, str)
text_type = str
iteritems = dict.items

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@ -1,333 +0,0 @@
######################## BEGIN LICENSE BLOCK ########################
# The Original Code is Mozilla Communicator client code.
#
# The Initial Developer of the Original Code is
# Netscape Communications Corporation.
# Portions created by the Initial Developer are Copyright (C) 1998
# the Initial Developer. All Rights Reserved.
#
# Contributor(s):
# Mark Pilgrim - port to Python
#
# This library is free software; you can redistribute it and/or
# modify it under the terms of the GNU Lesser General Public
# License as published by the Free Software Foundation; either
# version 2.1 of the License, or (at your option) any later version.
#
# This library 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
# Lesser General Public License for more details.
#
# You should have received a copy of the GNU Lesser General Public
# License along with this library; if not, write to the Free Software
# Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA
# 02110-1301 USA
######################### END LICENSE BLOCK #########################
# KOI8-R language model
# Character Mapping Table:
KOI8R_char_to_order_map = (
255,255,255,255,255,255,255,255,255,255,254,255,255,254,255,255, # 00
255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255, # 10
253,253,253,253,253,253,253,253,253,253,253,253,253,253,253,253, # 20
252,252,252,252,252,252,252,252,252,252,253,253,253,253,253,253, # 30
253,142,143,144,145,146,147,148,149,150,151,152, 74,153, 75,154, # 40
155,156,157,158,159,160,161,162,163,164,165,253,253,253,253,253, # 50
253, 71,172, 66,173, 65,174, 76,175, 64,176,177, 77, 72,178, 69, # 60
67,179, 78, 73,180,181, 79,182,183,184,185,253,253,253,253,253, # 70
191,192,193,194,195,196,197,198,199,200,201,202,203,204,205,206, # 80
207,208,209,210,211,212,213,214,215,216,217,218,219,220,221,222, # 90
223,224,225, 68,226,227,228,229,230,231,232,233,234,235,236,237, # a0
238,239,240,241,242,243,244,245,246,247,248,249,250,251,252,253, # b0
27, 3, 21, 28, 13, 2, 39, 19, 26, 4, 23, 11, 8, 12, 5, 1, # c0
15, 16, 9, 7, 6, 14, 24, 10, 17, 18, 20, 25, 30, 29, 22, 54, # d0
59, 37, 44, 58, 41, 48, 53, 46, 55, 42, 60, 36, 49, 38, 31, 34, # e0
35, 43, 45, 32, 40, 52, 56, 33, 61, 62, 51, 57, 47, 63, 50, 70, # f0
)
win1251_char_to_order_map = (
255,255,255,255,255,255,255,255,255,255,254,255,255,254,255,255, # 00
255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255, # 10
253,253,253,253,253,253,253,253,253,253,253,253,253,253,253,253, # 20
252,252,252,252,252,252,252,252,252,252,253,253,253,253,253,253, # 30
253,142,143,144,145,146,147,148,149,150,151,152, 74,153, 75,154, # 40
155,156,157,158,159,160,161,162,163,164,165,253,253,253,253,253, # 50
253, 71,172, 66,173, 65,174, 76,175, 64,176,177, 77, 72,178, 69, # 60
67,179, 78, 73,180,181, 79,182,183,184,185,253,253,253,253,253, # 70
191,192,193,194,195,196,197,198,199,200,201,202,203,204,205,206,
207,208,209,210,211,212,213,214,215,216,217,218,219,220,221,222,
223,224,225,226,227,228,229,230,231,232,233,234,235,236,237,238,
239,240,241,242,243,244,245,246, 68,247,248,249,250,251,252,253,
37, 44, 33, 46, 41, 48, 56, 51, 42, 60, 36, 49, 38, 31, 34, 35,
45, 32, 40, 52, 53, 55, 58, 50, 57, 63, 70, 62, 61, 47, 59, 43,
3, 21, 10, 19, 13, 2, 24, 20, 4, 23, 11, 8, 12, 5, 1, 15,
9, 7, 6, 14, 39, 26, 28, 22, 25, 29, 54, 18, 17, 30, 27, 16,
)
latin5_char_to_order_map = (
255,255,255,255,255,255,255,255,255,255,254,255,255,254,255,255, # 00
255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255, # 10
253,253,253,253,253,253,253,253,253,253,253,253,253,253,253,253, # 20
252,252,252,252,252,252,252,252,252,252,253,253,253,253,253,253, # 30
253,142,143,144,145,146,147,148,149,150,151,152, 74,153, 75,154, # 40
155,156,157,158,159,160,161,162,163,164,165,253,253,253,253,253, # 50
253, 71,172, 66,173, 65,174, 76,175, 64,176,177, 77, 72,178, 69, # 60
67,179, 78, 73,180,181, 79,182,183,184,185,253,253,253,253,253, # 70
191,192,193,194,195,196,197,198,199,200,201,202,203,204,205,206,
207,208,209,210,211,212,213,214,215,216,217,218,219,220,221,222,
223,224,225,226,227,228,229,230,231,232,233,234,235,236,237,238,
37, 44, 33, 46, 41, 48, 56, 51, 42, 60, 36, 49, 38, 31, 34, 35,
45, 32, 40, 52, 53, 55, 58, 50, 57, 63, 70, 62, 61, 47, 59, 43,
3, 21, 10, 19, 13, 2, 24, 20, 4, 23, 11, 8, 12, 5, 1, 15,
9, 7, 6, 14, 39, 26, 28, 22, 25, 29, 54, 18, 17, 30, 27, 16,
239, 68,240,241,242,243,244,245,246,247,248,249,250,251,252,255,
)
macCyrillic_char_to_order_map = (
255,255,255,255,255,255,255,255,255,255,254,255,255,254,255,255, # 00
255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255, # 10
253,253,253,253,253,253,253,253,253,253,253,253,253,253,253,253, # 20
252,252,252,252,252,252,252,252,252,252,253,253,253,253,253,253, # 30
253,142,143,144,145,146,147,148,149,150,151,152, 74,153, 75,154, # 40
155,156,157,158,159,160,161,162,163,164,165,253,253,253,253,253, # 50
253, 71,172, 66,173, 65,174, 76,175, 64,176,177, 77, 72,178, 69, # 60
67,179, 78, 73,180,181, 79,182,183,184,185,253,253,253,253,253, # 70
37, 44, 33, 46, 41, 48, 56, 51, 42, 60, 36, 49, 38, 31, 34, 35,
45, 32, 40, 52, 53, 55, 58, 50, 57, 63, 70, 62, 61, 47, 59, 43,
191,192,193,194,195,196,197,198,199,200,201,202,203,204,205,206,
207,208,209,210,211,212,213,214,215,216,217,218,219,220,221,222,
223,224,225,226,227,228,229,230,231,232,233,234,235,236,237,238,
239,240,241,242,243,244,245,246,247,248,249,250,251,252, 68, 16,
3, 21, 10, 19, 13, 2, 24, 20, 4, 23, 11, 8, 12, 5, 1, 15,
9, 7, 6, 14, 39, 26, 28, 22, 25, 29, 54, 18, 17, 30, 27,255,
)
IBM855_char_to_order_map = (
255,255,255,255,255,255,255,255,255,255,254,255,255,254,255,255, # 00
255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255, # 10
253,253,253,253,253,253,253,253,253,253,253,253,253,253,253,253, # 20
252,252,252,252,252,252,252,252,252,252,253,253,253,253,253,253, # 30
253,142,143,144,145,146,147,148,149,150,151,152, 74,153, 75,154, # 40
155,156,157,158,159,160,161,162,163,164,165,253,253,253,253,253, # 50
253, 71,172, 66,173, 65,174, 76,175, 64,176,177, 77, 72,178, 69, # 60
67,179, 78, 73,180,181, 79,182,183,184,185,253,253,253,253,253, # 70
191,192,193,194, 68,195,196,197,198,199,200,201,202,203,204,205,
206,207,208,209,210,211,212,213,214,215,216,217, 27, 59, 54, 70,
3, 37, 21, 44, 28, 58, 13, 41, 2, 48, 39, 53, 19, 46,218,219,
220,221,222,223,224, 26, 55, 4, 42,225,226,227,228, 23, 60,229,
230,231,232,233,234,235, 11, 36,236,237,238,239,240,241,242,243,
8, 49, 12, 38, 5, 31, 1, 34, 15,244,245,246,247, 35, 16,248,
43, 9, 45, 7, 32, 6, 40, 14, 52, 24, 56, 10, 33, 17, 61,249,
250, 18, 62, 20, 51, 25, 57, 30, 47, 29, 63, 22, 50,251,252,255,
)
IBM866_char_to_order_map = (
255,255,255,255,255,255,255,255,255,255,254,255,255,254,255,255, # 00
255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255, # 10
253,253,253,253,253,253,253,253,253,253,253,253,253,253,253,253, # 20
252,252,252,252,252,252,252,252,252,252,253,253,253,253,253,253, # 30
253,142,143,144,145,146,147,148,149,150,151,152, 74,153, 75,154, # 40
155,156,157,158,159,160,161,162,163,164,165,253,253,253,253,253, # 50
253, 71,172, 66,173, 65,174, 76,175, 64,176,177, 77, 72,178, 69, # 60
67,179, 78, 73,180,181, 79,182,183,184,185,253,253,253,253,253, # 70
37, 44, 33, 46, 41, 48, 56, 51, 42, 60, 36, 49, 38, 31, 34, 35,
45, 32, 40, 52, 53, 55, 58, 50, 57, 63, 70, 62, 61, 47, 59, 43,
3, 21, 10, 19, 13, 2, 24, 20, 4, 23, 11, 8, 12, 5, 1, 15,
191,192,193,194,195,196,197,198,199,200,201,202,203,204,205,206,
207,208,209,210,211,212,213,214,215,216,217,218,219,220,221,222,
223,224,225,226,227,228,229,230,231,232,233,234,235,236,237,238,
9, 7, 6, 14, 39, 26, 28, 22, 25, 29, 54, 18, 17, 30, 27, 16,
239, 68,240,241,242,243,244,245,246,247,248,249,250,251,252,255,
)
# Model Table:
# total sequences: 100%
# first 512 sequences: 97.6601%
# first 1024 sequences: 2.3389%
# rest sequences: 0.1237%
# negative sequences: 0.0009%
RussianLangModel = (
0,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,1,1,3,3,3,3,1,3,3,3,2,3,2,3,3,
3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,0,3,2,2,2,2,2,0,0,2,
3,3,3,2,3,3,3,3,3,3,3,3,3,3,2,3,3,0,0,3,3,3,3,3,3,3,3,3,2,3,2,0,
0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
3,3,3,2,2,3,3,3,3,3,3,3,3,3,2,3,3,0,0,3,3,3,3,3,3,3,3,2,3,3,1,0,
0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
3,2,3,2,3,3,3,3,3,3,3,3,3,3,3,3,3,0,0,3,3,3,3,3,3,3,3,3,3,3,2,1,
0,0,0,0,0,0,0,2,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
3,3,3,3,3,3,3,3,3,3,3,3,3,3,2,3,3,0,0,3,3,3,3,3,3,3,3,3,3,3,2,1,
0,0,0,0,0,1,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
3,3,3,3,3,3,3,3,2,2,2,3,1,3,3,1,3,3,3,3,2,2,3,0,2,2,2,3,3,2,1,0,
0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,
3,3,3,3,3,3,2,3,3,3,3,3,2,2,3,2,3,3,3,2,1,2,2,0,1,2,2,2,2,2,2,0,
0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,
3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,2,2,2,3,0,2,2,3,3,2,1,2,0,
0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,0,2,0,0,0,0,0,0,0,0,0,
3,3,3,3,3,3,2,3,3,1,2,3,2,2,3,2,3,3,3,3,2,2,3,0,3,2,2,3,1,1,1,0,
0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
3,3,3,3,3,3,3,3,2,2,3,3,3,3,3,2,3,3,3,3,2,2,2,0,3,3,3,2,2,2,2,0,
0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
3,3,3,3,3,3,3,3,3,3,2,3,2,3,3,3,3,3,3,2,3,2,2,0,1,3,2,1,2,2,1,0,
0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,
3,3,3,3,3,3,3,3,3,3,3,2,1,1,3,0,1,1,1,1,2,1,1,0,2,2,2,1,2,0,1,0,
0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
3,3,3,3,3,3,2,3,3,2,2,2,2,1,3,2,3,2,3,2,1,2,2,0,1,1,2,1,2,1,2,0,
0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
3,3,3,3,3,3,3,3,3,3,3,3,2,2,3,2,3,3,3,2,2,2,2,0,2,2,2,2,3,1,1,0,
0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,
3,2,3,2,2,3,3,3,3,3,3,3,3,3,1,3,2,0,0,3,3,3,3,2,3,3,3,3,2,3,2,0,
0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
2,3,3,3,3,3,2,2,3,3,0,2,1,0,3,2,3,2,3,0,0,1,2,0,0,1,0,1,2,1,1,0,
0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
3,0,3,0,2,3,3,3,3,2,3,3,3,3,1,2,2,0,0,2,3,2,2,2,3,2,3,2,2,3,0,0,
0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
3,2,3,0,2,3,2,3,0,1,2,3,3,2,0,2,3,0,0,2,3,2,2,0,1,3,1,3,2,2,1,0,
0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
3,1,3,0,2,3,3,3,3,3,3,3,3,2,1,3,2,0,0,2,2,3,3,3,2,3,3,0,2,2,0,0,
0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
3,3,3,3,3,3,2,2,3,3,2,2,2,3,3,0,0,1,1,1,1,1,2,0,0,1,1,1,1,0,1,0,
0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
3,3,3,3,3,3,2,2,3,3,3,3,3,3,3,0,3,2,3,3,2,3,2,0,2,1,0,1,1,0,1,0,
0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,
3,3,3,3,3,3,2,3,3,3,2,2,2,2,3,1,3,2,3,1,1,2,1,0,2,2,2,2,1,3,1,0,
0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,
2,2,3,3,3,3,3,1,2,2,1,3,1,0,3,0,0,3,0,0,0,1,1,0,1,2,1,0,0,0,0,0,
0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
3,2,2,1,1,3,3,3,2,2,1,2,2,3,1,1,2,0,0,2,2,1,3,0,0,2,1,1,2,1,1,0,
0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
3,2,3,3,3,3,1,2,2,2,1,2,1,3,3,1,1,2,1,2,1,2,2,0,2,0,0,1,1,0,1,0,
0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
2,3,3,3,3,3,2,1,3,2,2,3,2,0,3,2,0,3,0,1,0,1,1,0,0,1,1,1,1,0,1,0,
0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
3,3,2,3,3,3,2,2,2,3,3,1,2,1,2,1,0,1,0,1,1,0,1,0,0,2,1,1,1,0,1,0,
0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,
3,1,1,2,1,2,3,3,2,2,1,2,2,3,0,2,1,0,0,2,2,3,2,1,2,2,2,2,2,3,1,0,
0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
3,3,3,3,3,1,1,0,1,1,2,2,1,1,3,0,0,1,3,1,1,1,0,0,0,1,0,1,1,0,0,0,
0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
2,1,3,3,3,2,0,0,0,2,1,0,1,0,2,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
2,0,1,0,0,2,3,2,2,2,1,2,2,2,1,2,1,0,0,1,1,1,0,2,0,1,1,1,0,0,1,1,
1,0,0,0,0,0,1,2,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,
2,3,3,3,3,0,0,0,0,1,0,0,0,0,3,0,1,2,1,0,0,0,0,0,0,0,1,1,0,0,1,1,
1,0,1,0,1,2,0,0,1,1,2,1,0,1,1,1,1,0,1,1,1,1,0,1,0,0,1,0,0,1,1,0,
2,2,3,2,2,2,3,1,2,2,2,2,2,2,2,2,1,1,1,1,1,1,1,0,1,0,1,1,1,0,2,1,
1,1,1,1,1,1,1,1,2,1,1,1,1,1,1,1,1,1,1,0,1,0,1,1,0,1,1,1,0,1,1,0,
3,3,3,2,2,2,2,3,2,2,1,1,2,2,2,2,1,1,3,1,2,1,2,0,0,1,1,0,1,0,2,1,
1,1,1,1,1,2,1,0,1,1,1,1,0,1,0,0,1,1,0,0,1,0,1,0,0,1,0,0,0,1,1,0,
2,0,0,1,0,3,2,2,2,2,1,2,1,2,1,2,0,0,0,2,1,2,2,1,1,2,2,0,1,1,0,2,
1,1,1,1,1,0,1,1,1,2,1,1,1,2,1,0,1,2,1,1,1,1,0,1,1,1,0,0,1,0,0,1,
1,3,2,2,2,1,1,1,2,3,0,0,0,0,2,0,2,2,1,0,0,0,0,0,0,1,0,0,0,0,1,1,
1,0,1,1,0,1,0,1,1,0,1,1,0,2,0,0,1,1,0,0,1,0,0,0,0,0,0,0,0,1,1,0,
2,3,2,3,2,1,2,2,2,2,1,0,0,0,2,0,0,1,1,0,0,0,0,0,0,0,1,1,0,0,2,1,
1,1,2,1,0,2,0,0,1,0,1,0,0,1,0,0,1,1,0,1,1,0,0,0,0,0,1,0,0,0,0,0,
3,0,0,1,0,2,2,2,3,2,2,2,2,2,2,2,0,0,0,2,1,2,1,1,1,2,2,0,0,0,1,2,
1,1,1,1,1,0,1,2,1,1,1,1,1,1,1,0,1,1,1,1,1,1,0,1,1,1,1,1,1,0,0,1,
2,3,2,3,3,2,0,1,1,1,0,0,1,0,2,0,1,1,3,1,0,0,0,0,0,0,0,1,0,0,2,1,
1,1,1,1,1,1,1,0,1,0,1,1,1,1,0,1,1,1,0,0,1,1,0,1,0,0,0,0,0,0,1,0,
2,3,3,3,3,1,2,2,2,2,0,1,1,0,2,1,1,1,2,1,0,1,1,0,0,1,0,1,0,0,2,0,
0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
2,3,3,3,2,0,0,1,1,2,2,1,0,0,2,0,1,1,3,0,0,1,0,0,0,0,0,1,0,1,2,1,
1,1,2,0,1,1,1,0,1,0,1,1,0,1,0,1,1,1,1,0,1,0,0,0,0,0,0,1,0,1,1,0,
1,3,2,3,2,1,0,0,2,2,2,0,1,0,2,0,1,1,1,0,1,0,0,0,3,0,1,1,0,0,2,1,
1,1,1,0,1,1,0,0,0,0,1,1,0,1,0,0,2,1,1,0,1,0,0,0,1,0,1,0,0,1,1,0,
3,1,2,1,1,2,2,2,2,2,2,1,2,2,1,1,0,0,0,2,2,2,0,0,0,1,2,1,0,1,0,1,
2,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0,2,1,1,1,0,1,0,1,1,0,1,1,1,0,0,1,
3,0,0,0,0,2,0,1,1,1,1,1,1,1,0,1,0,0,0,1,1,1,0,1,0,1,1,0,0,1,0,1,
1,1,0,0,1,0,0,0,1,0,1,1,0,0,1,0,1,0,1,0,0,0,0,1,0,0,0,1,0,0,0,1,
1,3,3,2,2,0,0,0,2,2,0,0,0,1,2,0,1,1,2,0,0,0,0,0,0,0,0,1,0,0,2,1,
0,1,1,0,0,1,1,0,0,0,1,1,0,1,1,0,1,1,0,0,1,0,0,0,0,0,0,0,0,0,1,0,
2,3,2,3,2,0,0,0,0,1,1,0,0,0,2,0,2,0,2,0,0,0,0,0,1,0,0,1,0,0,1,1,
1,1,2,0,1,2,1,0,1,1,2,1,1,1,1,1,2,1,1,0,1,0,0,1,1,1,1,1,0,1,1,0,
1,3,2,2,2,1,0,0,2,2,1,0,1,2,2,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,1,1,
0,0,1,1,0,1,1,0,0,1,1,0,1,1,0,0,1,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,
1,0,0,1,0,2,3,1,2,2,2,2,2,2,1,1,0,0,0,1,0,1,0,2,1,1,1,0,0,0,0,1,
1,1,0,1,1,0,1,1,1,1,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,
2,0,2,0,0,1,0,3,2,1,2,1,2,2,0,1,0,0,0,2,1,0,0,2,1,1,1,1,0,2,0,2,
2,1,1,1,1,1,1,1,1,1,1,1,1,2,1,0,1,1,1,1,0,0,0,1,1,1,1,0,1,0,0,1,
1,2,2,2,2,1,0,0,1,0,0,0,0,0,2,0,1,1,1,1,0,0,0,0,1,0,1,2,0,0,2,0,
1,0,1,1,1,2,1,0,1,0,1,1,0,0,1,0,1,1,1,0,1,0,0,0,1,0,0,1,0,1,1,0,
2,1,2,2,2,0,3,0,1,1,0,0,0,0,2,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,
0,0,0,1,1,1,0,0,1,0,1,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,1,0,0,
1,2,2,3,2,2,0,0,1,1,2,0,1,2,1,0,1,0,1,0,0,1,0,0,0,0,0,0,0,0,0,1,
0,1,1,0,0,1,1,0,0,1,1,0,0,1,1,0,1,1,0,0,1,0,0,0,0,0,0,0,0,1,1,0,
2,2,1,1,2,1,2,2,2,2,2,1,2,2,0,1,0,0,0,1,2,2,2,1,2,1,1,1,1,1,2,1,
1,1,1,1,1,1,1,1,1,1,0,0,1,1,1,0,1,1,1,0,0,0,0,1,1,1,0,1,1,0,0,1,
1,2,2,2,2,0,1,0,2,2,0,0,0,0,2,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,2,0,
0,0,1,0,0,1,0,0,0,0,1,0,1,1,0,0,1,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,
0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,
0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
1,2,2,2,2,0,0,0,2,2,2,0,1,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,1,
0,1,1,0,0,1,1,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
1,2,2,2,2,0,0,0,0,1,0,0,1,1,2,0,0,0,0,1,0,1,0,0,1,0,0,2,0,0,0,1,
0,0,1,0,0,1,0,0,0,1,1,0,0,0,0,0,1,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,
1,2,2,2,1,1,2,0,2,1,1,1,1,0,2,2,0,0,0,0,0,0,0,0,0,1,1,0,0,0,1,1,
0,0,1,0,1,1,0,0,0,0,1,0,0,0,0,0,1,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,
1,0,2,1,2,0,0,0,0,0,1,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,1,0,0,0,0,
0,0,1,0,1,1,0,0,0,0,1,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,
1,0,0,0,0,2,0,1,2,1,0,1,1,1,0,1,0,0,0,1,0,1,0,0,1,0,1,0,0,0,0,1,
0,0,0,0,0,1,0,0,1,1,0,0,1,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,
2,2,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,
1,0,0,0,1,0,0,0,1,1,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,0,
2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,
1,1,1,0,1,0,1,0,0,1,1,1,1,0,0,0,1,0,0,0,0,1,0,0,0,1,0,1,0,0,0,0,
1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,
1,1,0,1,1,0,1,0,1,0,0,0,0,1,1,0,1,1,0,0,0,0,0,1,0,1,1,0,1,0,0,0,
0,1,1,1,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,
)
Koi8rModel = {
'char_to_order_map': KOI8R_char_to_order_map,
'precedence_matrix': RussianLangModel,
'typical_positive_ratio': 0.976601,
'keep_english_letter': False,
'charset_name': "KOI8-R",
'language': 'Russian',
}
Win1251CyrillicModel = {
'char_to_order_map': win1251_char_to_order_map,
'precedence_matrix': RussianLangModel,
'typical_positive_ratio': 0.976601,
'keep_english_letter': False,
'charset_name': "windows-1251",
'language': 'Russian',
}
Latin5CyrillicModel = {
'char_to_order_map': latin5_char_to_order_map,
'precedence_matrix': RussianLangModel,
'typical_positive_ratio': 0.976601,
'keep_english_letter': False,
'charset_name': "ISO-8859-5",
'language': 'Russian',
}
MacCyrillicModel = {
'char_to_order_map': macCyrillic_char_to_order_map,
'precedence_matrix': RussianLangModel,
'typical_positive_ratio': 0.976601,
'keep_english_letter': False,
'charset_name': "MacCyrillic",
'language': 'Russian',
}
Ibm866Model = {
'char_to_order_map': IBM866_char_to_order_map,
'precedence_matrix': RussianLangModel,
'typical_positive_ratio': 0.976601,
'keep_english_letter': False,
'charset_name': "IBM866",
'language': 'Russian',
}
Ibm855Model = {
'char_to_order_map': IBM855_char_to_order_map,
'precedence_matrix': RussianLangModel,
'typical_positive_ratio': 0.976601,
'keep_english_letter': False,
'charset_name': "IBM855",
'language': 'Russian',
}

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#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Metadata about languages used by our model training code for our
SingleByteCharSetProbers. Could be used for other things in the future.
This code is based on the language metadata from the uchardet project.
"""
from __future__ import absolute_import, print_function
from string import ascii_letters
# TODO: Add Ukranian (KOI8-U)
class Language(object):
"""Metadata about a language useful for training models
:ivar name: The human name for the language, in English.
:type name: str
:ivar iso_code: 2-letter ISO 639-1 if possible, 3-letter ISO code otherwise,
or use another catalog as a last resort.
:type iso_code: str
:ivar use_ascii: Whether or not ASCII letters should be included in trained
models.
:type use_ascii: bool
:ivar charsets: The charsets we want to support and create data for.
:type charsets: list of str
:ivar alphabet: The characters in the language's alphabet. If `use_ascii` is
`True`, you only need to add those not in the ASCII set.
:type alphabet: str
:ivar wiki_start_pages: The Wikipedia pages to start from if we're crawling
Wikipedia for training data.
:type wiki_start_pages: list of str
"""
def __init__(self, name=None, iso_code=None, use_ascii=True, charsets=None,
alphabet=None, wiki_start_pages=None):
super(Language, self).__init__()
self.name = name
self.iso_code = iso_code
self.use_ascii = use_ascii
self.charsets = charsets
if self.use_ascii:
if alphabet:
alphabet += ascii_letters
else:
alphabet = ascii_letters
elif not alphabet:
raise ValueError('Must supply alphabet if use_ascii is False')
self.alphabet = ''.join(sorted(set(alphabet))) if alphabet else None
self.wiki_start_pages = wiki_start_pages
def __repr__(self):
return '{}({})'.format(self.__class__.__name__,
', '.join('{}={!r}'.format(k, v)
for k, v in self.__dict__.items()
if not k.startswith('_')))
LANGUAGES = {'Arabic': Language(name='Arabic',
iso_code='ar',
use_ascii=False,
# We only support encodings that use isolated
# forms, because the current recommendation is
# that the rendering system handles presentation
# forms. This means we purposefully skip IBM864.
charsets=['ISO-8859-6', 'WINDOWS-1256',
'CP720', 'CP864'],
alphabet=u'ءآأؤإئابةتثجحخدذرزسشصضطظعغػؼؽؾؿـفقكلمنهوىيًٌٍَُِّ',
wiki_start_pages=[u'الصفحة_الرئيسية']),
'Belarusian': Language(name='Belarusian',
iso_code='be',
use_ascii=False,
charsets=['ISO-8859-5', 'WINDOWS-1251',
'IBM866', 'MacCyrillic'],
alphabet=(u'АБВГДЕЁЖЗІЙКЛМНОПРСТУЎФХЦЧШЫЬЭЮЯ'
u'абвгдеёжзійклмнопрстуўфхцчшыьэюяʼ'),
wiki_start_pages=[u'Галоўная_старонка']),
'Bulgarian': Language(name='Bulgarian',
iso_code='bg',
use_ascii=False,
charsets=['ISO-8859-5', 'WINDOWS-1251',
'IBM855'],
alphabet=(u'АБВГДЕЖЗИЙКЛМНОПРСТУФХЦЧШЩЪЬЮЯ'
u'абвгдежзийклмнопрстуфхцчшщъьюя'),
wiki_start_pages=[u'Начална_страница']),
'Czech': Language(name='Czech',
iso_code='cz',
use_ascii=True,
charsets=['ISO-8859-2', 'WINDOWS-1250'],
alphabet=u'áčďéěíňóřšťúůýžÁČĎÉĚÍŇÓŘŠŤÚŮÝŽ',
wiki_start_pages=[u'Hlavní_strana']),
'Danish': Language(name='Danish',
iso_code='da',
use_ascii=True,
charsets=['ISO-8859-1', 'ISO-8859-15',
'WINDOWS-1252'],
alphabet=u'æøåÆØÅ',
wiki_start_pages=[u'Forside']),
'German': Language(name='German',
iso_code='de',
use_ascii=True,
charsets=['ISO-8859-1', 'WINDOWS-1252'],
alphabet=u'äöüßÄÖÜ',
wiki_start_pages=[u'Wikipedia:Hauptseite']),
'Greek': Language(name='Greek',
iso_code='el',
use_ascii=False,
charsets=['ISO-8859-7', 'WINDOWS-1253'],
alphabet=(u'αβγδεζηθικλμνξοπρσςτυφχψωάέήίόύώ'
u'ΑΒΓΔΕΖΗΘΙΚΛΜΝΞΟΠΡΣΣΤΥΦΧΨΩΆΈΉΊΌΎΏ'),
wiki_start_pages=[u'Πύλη:Κύρια']),
'English': Language(name='English',
iso_code='en',
use_ascii=True,
charsets=['ISO-8859-1', 'WINDOWS-1252'],
wiki_start_pages=[u'Main_Page']),
'Esperanto': Language(name='Esperanto',
iso_code='eo',
# Q, W, X, and Y not used at all
use_ascii=False,
charsets=['ISO-8859-3'],
alphabet=(u'abcĉdefgĝhĥijĵklmnoprsŝtuŭvz'
u'ABCĈDEFGĜHĤIJĴKLMNOPRSŜTUŬVZ'),
wiki_start_pages=[u'Vikipedio:Ĉefpaĝo']),
'Spanish': Language(name='Spanish',
iso_code='es',
use_ascii=True,
charsets=['ISO-8859-1', 'ISO-8859-15',
'WINDOWS-1252'],
alphabet=u'ñáéíóúüÑÁÉÍÓÚÜ',
wiki_start_pages=[u'Wikipedia:Portada']),
'Estonian': Language(name='Estonian',
iso_code='et',
use_ascii=False,
charsets=['ISO-8859-4', 'ISO-8859-13',
'WINDOWS-1257'],
# C, F, Š, Q, W, X, Y, Z, Ž are only for
# loanwords
alphabet=(u'ABDEGHIJKLMNOPRSTUVÕÄÖÜ'
u'abdeghijklmnoprstuvõäöü'),
wiki_start_pages=[u'Esileht']),
'Finnish': Language(name='Finnish',
iso_code='fi',
use_ascii=True,
charsets=['ISO-8859-1', 'ISO-8859-15',
'WINDOWS-1252'],
alphabet=u'ÅÄÖŠŽåäöšž',
wiki_start_pages=[u'Wikipedia:Etusivu']),
'French': Language(name='French',
iso_code='fr',
use_ascii=True,
charsets=['ISO-8859-1', 'ISO-8859-15',
'WINDOWS-1252'],
alphabet=u'œàâçèéîïùûêŒÀÂÇÈÉÎÏÙÛÊ',
wiki_start_pages=[u'Wikipédia:Accueil_principal',
u'Bœuf (animal)']),
'Hebrew': Language(name='Hebrew',
iso_code='he',
use_ascii=False,
charsets=['ISO-8859-8', 'WINDOWS-1255'],
alphabet=u'אבגדהוזחטיךכלםמןנסעףפץצקרשתװױײ',
wiki_start_pages=[u'עמוד_ראשי']),
'Croatian': Language(name='Croatian',
iso_code='hr',
# Q, W, X, Y are only used for foreign words.
use_ascii=False,
charsets=['ISO-8859-2', 'WINDOWS-1250'],
alphabet=(u'abcčćdđefghijklmnoprsštuvzž'
u'ABCČĆDĐEFGHIJKLMNOPRSŠTUVZŽ'),
wiki_start_pages=[u'Glavna_stranica']),
'Hungarian': Language(name='Hungarian',
iso_code='hu',
# Q, W, X, Y are only used for foreign words.
use_ascii=False,
charsets=['ISO-8859-2', 'WINDOWS-1250'],
alphabet=(u'abcdefghijklmnoprstuvzáéíóöőúüű'
u'ABCDEFGHIJKLMNOPRSTUVZÁÉÍÓÖŐÚÜŰ'),
wiki_start_pages=[u'Kezdőlap']),
'Italian': Language(name='Italian',
iso_code='it',
use_ascii=True,
charsets=['ISO-8859-1', 'ISO-8859-15',
'WINDOWS-1252'],
alphabet=u'ÀÈÉÌÒÓÙàèéìòóù',
wiki_start_pages=[u'Pagina_principale']),
'Lithuanian': Language(name='Lithuanian',
iso_code='lt',
use_ascii=False,
charsets=['ISO-8859-13', 'WINDOWS-1257',
'ISO-8859-4'],
# Q, W, and X not used at all
alphabet=(u'AĄBCČDEĘĖFGHIĮYJKLMNOPRSŠTUŲŪVZŽ'
u'aąbcčdeęėfghiįyjklmnoprsštuųūvzž'),
wiki_start_pages=[u'Pagrindinis_puslapis']),
'Latvian': Language(name='Latvian',
iso_code='lv',
use_ascii=False,
charsets=['ISO-8859-13', 'WINDOWS-1257',
'ISO-8859-4'],
# Q, W, X, Y are only for loanwords
alphabet=(u'AĀBCČDEĒFGĢHIĪJKĶLĻMNŅOPRSŠTUŪVZŽ'
u'aābcčdeēfgģhiījkķlļmnņoprsštuūvzž'),
wiki_start_pages=[u'Sākumlapa']),
'Macedonian': Language(name='Macedonian',
iso_code='mk',
use_ascii=False,
charsets=['ISO-8859-5', 'WINDOWS-1251',
'MacCyrillic', 'IBM855'],
alphabet=(u'АБВГДЃЕЖЗЅИЈКЛЉМНЊОПРСТЌУФХЦЧЏШ'
u'абвгдѓежзѕијклљмнњопрстќуфхцчџш'),
wiki_start_pages=[u'Главна_страница']),
'Dutch': Language(name='Dutch',
iso_code='nl',
use_ascii=True,
charsets=['ISO-8859-1', 'WINDOWS-1252'],
wiki_start_pages=[u'Hoofdpagina']),
'Polish': Language(name='Polish',
iso_code='pl',
# Q and X are only used for foreign words.
use_ascii=False,
charsets=['ISO-8859-2', 'WINDOWS-1250'],
alphabet=(u'AĄBCĆDEĘFGHIJKLŁMNŃOÓPRSŚTUWYZŹŻ'
u'aąbcćdeęfghijklłmnńoóprsśtuwyzźż'),
wiki_start_pages=[u'Wikipedia:Strona_główna']),
'Portuguese': Language(name='Portuguese',
iso_code='pt',
use_ascii=True,
charsets=['ISO-8859-1', 'ISO-8859-15',
'WINDOWS-1252'],
alphabet=u'ÁÂÃÀÇÉÊÍÓÔÕÚáâãàçéêíóôõú',
wiki_start_pages=[u'Wikipédia:Página_principal']),
'Romanian': Language(name='Romanian',
iso_code='ro',
use_ascii=True,
charsets=['ISO-8859-2', 'WINDOWS-1250'],
alphabet=u'ăâîșțĂÂÎȘȚ',
wiki_start_pages=[u'Pagina_principală']),
'Russian': Language(name='Russian',
iso_code='ru',
use_ascii=False,
charsets=['ISO-8859-5', 'WINDOWS-1251',
'KOI8-R', 'MacCyrillic', 'IBM866',
'IBM855'],
alphabet=(u'абвгдеёжзийклмнопрстуфхцчшщъыьэюя'
u'АБВГДЕЁЖЗИЙКЛМНОПРСТУФХЦЧШЩЪЫЬЭЮЯ'),
wiki_start_pages=[u'Заглавная_страница']),
'Slovak': Language(name='Slovak',
iso_code='sk',
use_ascii=True,
charsets=['ISO-8859-2', 'WINDOWS-1250'],
alphabet=u'áäčďéíĺľňóôŕšťúýžÁÄČĎÉÍĹĽŇÓÔŔŠŤÚÝŽ',
wiki_start_pages=[u'Hlavná_stránka']),
'Slovene': Language(name='Slovene',
iso_code='sl',
# Q, W, X, Y are only used for foreign words.
use_ascii=False,
charsets=['ISO-8859-2', 'WINDOWS-1250'],
alphabet=(u'abcčdefghijklmnoprsštuvzž'
u'ABCČDEFGHIJKLMNOPRSŠTUVZŽ'),
wiki_start_pages=[u'Glavna_stran']),
# Serbian can be written in both Latin and Cyrillic, but there's no
# simple way to get the Latin alphabet pages from Wikipedia through
# the API, so for now we just support Cyrillic.
'Serbian': Language(name='Serbian',
iso_code='sr',
alphabet=(u'АБВГДЂЕЖЗИЈКЛЉМНЊОПРСТЋУФХЦЧЏШ'
u'абвгдђежзијклљмнњопрстћуфхцчџш'),
charsets=['ISO-8859-5', 'WINDOWS-1251',
'MacCyrillic', 'IBM855'],
wiki_start_pages=[u'Главна_страна']),
'Thai': Language(name='Thai',
iso_code='th',
use_ascii=False,
charsets=['ISO-8859-11', 'TIS-620', 'CP874'],
alphabet=u'กขฃคฅฆงจฉชซฌญฎฏฐฑฒณดตถทธนบปผฝพฟภมยรฤลฦวศษสหฬอฮฯะัาำิีึืฺุู฿เแโใไๅๆ็่้๊๋์ํ๎๏๐๑๒๓๔๕๖๗๘๙๚๛',
wiki_start_pages=[u'หน้าหลัก']),
'Turkish': Language(name='Turkish',
iso_code='tr',
# Q, W, and X are not used by Turkish
use_ascii=False,
charsets=['ISO-8859-3', 'ISO-8859-9',
'WINDOWS-1254'],
alphabet=(u'abcçdefgğhıijklmnoöprsştuüvyzâîû'
u'ABCÇDEFGĞHIİJKLMNOÖPRSŞTUÜVYZÂÎÛ'),
wiki_start_pages=[u'Ana_Sayfa']),
'Vietnamese': Language(name='Vietnamese',
iso_code='vi',
use_ascii=False,
# Windows-1258 is the only common 8-bit
# Vietnamese encoding supported by Python.
# From Wikipedia:
# For systems that lack support for Unicode,
# dozens of 8-bit Vietnamese code pages are
# available.[1] The most common are VISCII
# (TCVN 5712:1993), VPS, and Windows-1258.[3]
# Where ASCII is required, such as when
# ensuring readability in plain text e-mail,
# Vietnamese letters are often encoded
# according to Vietnamese Quoted-Readable
# (VIQR) or VSCII Mnemonic (VSCII-MNEM),[4]
# though usage of either variable-width
# scheme has declined dramatically following
# the adoption of Unicode on the World Wide
# Web.
charsets=['WINDOWS-1258'],
alphabet=(u'aăâbcdđeêghiklmnoôơpqrstuưvxy'
u'AĂÂBCDĐEÊGHIKLMNOÔƠPQRSTUƯVXY'),
wiki_start_pages=[u'Chữ_Quốc_ngữ']),
}

View file

@ -26,10 +26,22 @@
# 02110-1301 USA
######################### END LICENSE BLOCK #########################
from collections import namedtuple
from .charsetprober import CharSetProber
from .enums import CharacterCategory, ProbingState, SequenceLikelihood
SingleByteCharSetModel = namedtuple('SingleByteCharSetModel',
['charset_name',
'language',
'char_to_order_map',
'language_model',
'typical_positive_ratio',
'keep_ascii_letters',
'alphabet'])
class SingleByteCharSetProber(CharSetProber):
SAMPLE_SIZE = 64
SB_ENOUGH_REL_THRESHOLD = 1024 # 0.25 * SAMPLE_SIZE^2
@ -65,25 +77,25 @@ class SingleByteCharSetProber(CharSetProber):
if self._name_prober:
return self._name_prober.charset_name
else:
return self._model['charset_name']
return self._model.charset_name
@property
def language(self):
if self._name_prober:
return self._name_prober.language
else:
return self._model.get('language')
return self._model.language
def feed(self, byte_str):
if not self._model['keep_english_letter']:
# TODO: Make filter_international_words keep things in self.alphabet
if not self._model.keep_ascii_letters:
byte_str = self.filter_international_words(byte_str)
if not byte_str:
return self.state
char_to_order_map = self._model['char_to_order_map']
for i, c in enumerate(byte_str):
# XXX: Order is in range 1-64, so one would think we want 0-63 here,
# but that leads to 27 more test failures than before.
order = char_to_order_map[c]
char_to_order_map = self._model.char_to_order_map
language_model = self._model.language_model
for char in byte_str:
order = char_to_order_map.get(char, CharacterCategory.UNDEFINED)
# XXX: This was SYMBOL_CAT_ORDER before, with a value of 250, but
# CharacterCategory.SYMBOL is actually 253, so we use CONTROL
# to make it closer to the original intent. The only difference
@ -91,20 +103,21 @@ class SingleByteCharSetProber(CharSetProber):
# _total_char purposes.
if order < CharacterCategory.CONTROL:
self._total_char += 1
# TODO: Follow uchardet's lead and discount confidence for frequent
# control characters.
# See https://github.com/BYVoid/uchardet/commit/55b4f23971db61
if order < self.SAMPLE_SIZE:
self._freq_char += 1
if self._last_order < self.SAMPLE_SIZE:
self._total_seqs += 1
if not self._reversed:
i = (self._last_order * self.SAMPLE_SIZE) + order
model = self._model['precedence_matrix'][i]
else: # reverse the order of the letters in the lookup
i = (order * self.SAMPLE_SIZE) + self._last_order
model = self._model['precedence_matrix'][i]
self._seq_counters[model] += 1
lm_cat = language_model[self._last_order][order]
else:
lm_cat = language_model[order][self._last_order]
self._seq_counters[lm_cat] += 1
self._last_order = order
charset_name = self._model['charset_name']
charset_name = self._model.charset_name
if self.state == ProbingState.DETECTING:
if self._total_seqs > self.SB_ENOUGH_REL_THRESHOLD:
confidence = self.get_confidence()
@ -125,7 +138,7 @@ class SingleByteCharSetProber(CharSetProber):
r = 0.01
if self._total_seqs > 0:
r = ((1.0 * self._seq_counters[SequenceLikelihood.POSITIVE]) /
self._total_seqs / self._model['typical_positive_ratio'])
self._total_seqs / self._model.typical_positive_ratio)
r = r * self._freq_char / self._total_char
if r >= 1.0:
r = 0.99

View file

@ -27,47 +27,57 @@
######################### END LICENSE BLOCK #########################
from .charsetgroupprober import CharSetGroupProber
from .sbcharsetprober import SingleByteCharSetProber
from .langcyrillicmodel import (Win1251CyrillicModel, Koi8rModel,
Latin5CyrillicModel, MacCyrillicModel,
Ibm866Model, Ibm855Model)
from .langgreekmodel import Latin7GreekModel, Win1253GreekModel
from .langbulgarianmodel import Latin5BulgarianModel, Win1251BulgarianModel
# from .langhungarianmodel import Latin2HungarianModel, Win1250HungarianModel
from .langthaimodel import TIS620ThaiModel
from .langhebrewmodel import Win1255HebrewModel
from .hebrewprober import HebrewProber
from .langturkishmodel import Latin5TurkishModel
from .langbulgarianmodel import (ISO_8859_5_BULGARIAN_MODEL,
WINDOWS_1251_BULGARIAN_MODEL)
from .langgreekmodel import ISO_8859_7_GREEK_MODEL, WINDOWS_1253_GREEK_MODEL
from .langhebrewmodel import WINDOWS_1255_HEBREW_MODEL
# from .langhungarianmodel import (ISO_8859_2_HUNGARIAN_MODEL,
# WINDOWS_1250_HUNGARIAN_MODEL)
from .langrussianmodel import (IBM855_RUSSIAN_MODEL, IBM866_RUSSIAN_MODEL,
ISO_8859_5_RUSSIAN_MODEL, KOI8_R_RUSSIAN_MODEL,
MACCYRILLIC_RUSSIAN_MODEL,
WINDOWS_1251_RUSSIAN_MODEL)
from .langthaimodel import TIS_620_THAI_MODEL
from .langturkishmodel import ISO_8859_9_TURKISH_MODEL
from .sbcharsetprober import SingleByteCharSetProber
class SBCSGroupProber(CharSetGroupProber):
def __init__(self):
super(SBCSGroupProber, self).__init__()
hebrew_prober = HebrewProber()
logical_hebrew_prober = SingleByteCharSetProber(WINDOWS_1255_HEBREW_MODEL,
False, hebrew_prober)
# TODO: See if using ISO-8859-8 Hebrew model works better here, since
# it's actually the visual one
visual_hebrew_prober = SingleByteCharSetProber(WINDOWS_1255_HEBREW_MODEL,
True, hebrew_prober)
hebrew_prober.set_model_probers(logical_hebrew_prober,
visual_hebrew_prober)
# TODO: ORDER MATTERS HERE. I changed the order vs what was in master
# and several tests failed that did not before. Some thought
# should be put into the ordering, and we should consider making
# order not matter here, because that is very counter-intuitive.
self.probers = [
SingleByteCharSetProber(Win1251CyrillicModel),
SingleByteCharSetProber(Koi8rModel),
SingleByteCharSetProber(Latin5CyrillicModel),
SingleByteCharSetProber(MacCyrillicModel),
SingleByteCharSetProber(Ibm866Model),
SingleByteCharSetProber(Ibm855Model),
SingleByteCharSetProber(Latin7GreekModel),
SingleByteCharSetProber(Win1253GreekModel),
SingleByteCharSetProber(Latin5BulgarianModel),
SingleByteCharSetProber(Win1251BulgarianModel),
SingleByteCharSetProber(WINDOWS_1251_RUSSIAN_MODEL),
SingleByteCharSetProber(KOI8_R_RUSSIAN_MODEL),
SingleByteCharSetProber(ISO_8859_5_RUSSIAN_MODEL),
SingleByteCharSetProber(MACCYRILLIC_RUSSIAN_MODEL),
SingleByteCharSetProber(IBM866_RUSSIAN_MODEL),
SingleByteCharSetProber(IBM855_RUSSIAN_MODEL),
SingleByteCharSetProber(ISO_8859_7_GREEK_MODEL),
SingleByteCharSetProber(WINDOWS_1253_GREEK_MODEL),
SingleByteCharSetProber(ISO_8859_5_BULGARIAN_MODEL),
SingleByteCharSetProber(WINDOWS_1251_BULGARIAN_MODEL),
# TODO: Restore Hungarian encodings (iso-8859-2 and windows-1250)
# after we retrain model.
# SingleByteCharSetProber(Latin2HungarianModel),
# SingleByteCharSetProber(Win1250HungarianModel),
SingleByteCharSetProber(TIS620ThaiModel),
SingleByteCharSetProber(Latin5TurkishModel),
# SingleByteCharSetProber(ISO_8859_2_HUNGARIAN_MODEL),
# SingleByteCharSetProber(WINDOWS_1250_HUNGARIAN_MODEL),
SingleByteCharSetProber(TIS_620_THAI_MODEL),
SingleByteCharSetProber(ISO_8859_9_TURKISH_MODEL),
hebrew_prober,
logical_hebrew_prober,
visual_hebrew_prober,
]
hebrew_prober = HebrewProber()
logical_hebrew_prober = SingleByteCharSetProber(Win1255HebrewModel,
False, hebrew_prober)
visual_hebrew_prober = SingleByteCharSetProber(Win1255HebrewModel, True,
hebrew_prober)
hebrew_prober.set_model_probers(logical_hebrew_prober, visual_hebrew_prober)
self.probers.extend([hebrew_prober, logical_hebrew_prober,
visual_hebrew_prober])
self.reset()

View file

@ -266,7 +266,7 @@ class UniversalDetector(object):
'language': max_prober.language}
# Log all prober confidences if none met MINIMUM_THRESHOLD
if self.logger.getEffectiveLevel() == logging.DEBUG:
if self.logger.getEffectiveLevel() <= logging.DEBUG:
if self.result['encoding'] is None:
self.logger.debug('no probers hit minimum threshold')
for group_prober in self._charset_probers:

View file

@ -5,5 +5,5 @@ from within setup.py and from chardet subpackages.
:author: Dan Blanchard (dan.blanchard@gmail.com)
"""
__version__ = "3.0.4"
__version__ = "4.0.0"
VERSION = __version__.split('.')