Update of chardet to 4.0.0

This commit is contained in:
Miroslav Štampar 2026-06-10 21:03:58 +02:00
parent af0e46316a
commit d47aacbfba
17 changed files with 26950 additions and 1636 deletions

View file

@ -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.
@ -31,9 +34,50 @@ def detect(byte_str):
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)))
'{}'.format(type(byte_str)))
else:
byte_str = bytearray(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: '
'{}'.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(),
'language': prober.language,
})
if len(results) > 0:
return sorted(results, key=lambda result: -result['confidence'])
return [detector.result]

View file

@ -73,6 +73,7 @@ class CharSetGroupProber(CharSetProber):
continue
if state == ProbingState.FOUND_IT:
self._best_guess_prober = prober
self._state = ProbingState.FOUND_IT
return self.state
elif state == ProbingState.NOT_ME:
prober.active = False

View file

@ -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

File diff suppressed because it is too large Load diff

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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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@ -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()

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@ -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:
@ -280,7 +280,7 @@ class UniversalDetector(object):
prober.get_confidence())
else:
self.logger.debug('%s %s confidence = %s',
prober.charset_name,
prober.language,
prober.get_confidence())
group_prober.charset_name,
group_prober.language,
group_prober.get_confidence())
return self.result

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('.')