golden hour
/opt/cloudlinux/venv/lib/python3.11/site-packages/chardet
⬆️ Go Up
Upload
File/Folder
Size
Actions
__init__.py
4.68 KB
Del
OK
__main__.py
123 B
Del
OK
__pycache__
-
Del
OK
big5freq.py
30.54 KB
Del
OK
big5prober.py
1.72 KB
Del
OK
chardistribution.py
9.8 KB
Del
OK
charsetgroupprober.py
3.82 KB
Del
OK
charsetprober.py
5.29 KB
Del
OK
cli
-
Del
OK
codingstatemachine.py
3.64 KB
Del
OK
codingstatemachinedict.py
542 B
Del
OK
cp949prober.py
1.82 KB
Del
OK
enums.py
1.64 KB
Del
OK
escprober.py
3.91 KB
Del
OK
escsm.py
11.89 KB
Del
OK
eucjpprober.py
3.84 KB
Del
OK
euckrfreq.py
13.25 KB
Del
OK
euckrprober.py
1.71 KB
Del
OK
euctwfreq.py
36.05 KB
Del
OK
euctwprober.py
1.71 KB
Del
OK
gb2312freq.py
20.25 KB
Del
OK
gb2312prober.py
1.72 KB
Del
OK
hebrewprober.py
14.2 KB
Del
OK
jisfreq.py
25.19 KB
Del
OK
johabfreq.py
41.5 KB
Del
OK
johabprober.py
1.71 KB
Del
OK
jpcntx.py
26.42 KB
Del
OK
langbulgarianmodel.py
102.1 KB
Del
OK
langgreekmodel.py
96.16 KB
Del
OK
langhebrewmodel.py
95.88 KB
Del
OK
langhungarianmodel.py
98.98 KB
Del
OK
langrussianmodel.py
125.02 KB
Del
OK
langthaimodel.py
100.35 KB
Del
OK
langturkishmodel.py
93.13 KB
Del
OK
latin1prober.py
5.25 KB
Del
OK
macromanprober.py
5.93 KB
Del
OK
mbcharsetprober.py
3.63 KB
Del
OK
mbcsgroupprober.py
2.08 KB
Del
OK
mbcssm.py
29.68 KB
Del
OK
metadata
-
Del
OK
py.typed
0 B
Del
OK
resultdict.py
402 B
Del
OK
sbcharsetprober.py
6.25 KB
Del
OK
sbcsgroupprober.py
4.04 KB
Del
OK
sjisprober.py
3.91 KB
Del
OK
universaldetector.py
14.5 KB
Del
OK
utf1632prober.py
8.31 KB
Del
OK
utf8prober.py
2.75 KB
Del
OK
version.py
244 B
Del
OK
Edit: macromanprober.py
######################## BEGIN LICENSE BLOCK ######################## # This code was modified from latin1prober.py by Rob Speer <rob@lumino.so>. # The Original Code is Mozilla Universal charset detector code. # # The Initial Developer of the Original Code is # Netscape Communications Corporation. # Portions created by the Initial Developer are Copyright (C) 2001 # the Initial Developer. All Rights Reserved. # # Contributor(s): # Rob Speer - adapt to MacRoman encoding # Mark Pilgrim - port to Python # Shy Shalom - original C code # # 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 ######################### from typing import List, Union from .charsetprober import CharSetProber from .enums import ProbingState FREQ_CAT_NUM = 4 UDF = 0 # undefined OTH = 1 # other ASC = 2 # ascii capital letter ASS = 3 # ascii small letter ACV = 4 # accent capital vowel ACO = 5 # accent capital other ASV = 6 # accent small vowel ASO = 7 # accent small other ODD = 8 # character that is unlikely to appear CLASS_NUM = 9 # total classes # The change from Latin1 is that we explicitly look for extended characters # that are infrequently-occurring symbols, and consider them to always be # improbable. This should let MacRoman get out of the way of more likely # encodings in most situations. # fmt: off MacRoman_CharToClass = ( OTH, OTH, OTH, OTH, OTH, OTH, OTH, OTH, # 00 - 07 OTH, OTH, OTH, OTH, OTH, OTH, OTH, OTH, # 08 - 0F OTH, OTH, OTH, OTH, OTH, OTH, OTH, OTH, # 10 - 17 OTH, OTH, OTH, OTH, OTH, OTH, OTH, OTH, # 18 - 1F OTH, OTH, OTH, OTH, OTH, OTH, OTH, OTH, # 20 - 27 OTH, OTH, OTH, OTH, OTH, OTH, OTH, OTH, # 28 - 2F OTH, OTH, OTH, OTH, OTH, OTH, OTH, OTH, # 30 - 37 OTH, OTH, OTH, OTH, OTH, OTH, OTH, OTH, # 38 - 3F OTH, ASC, ASC, ASC, ASC, ASC, ASC, ASC, # 40 - 47 ASC, ASC, ASC, ASC, ASC, ASC, ASC, ASC, # 48 - 4F ASC, ASC, ASC, ASC, ASC, ASC, ASC, ASC, # 50 - 57 ASC, ASC, ASC, OTH, OTH, OTH, OTH, OTH, # 58 - 5F OTH, ASS, ASS, ASS, ASS, ASS, ASS, ASS, # 60 - 67 ASS, ASS, ASS, ASS, ASS, ASS, ASS, ASS, # 68 - 6F ASS, ASS, ASS, ASS, ASS, ASS, ASS, ASS, # 70 - 77 ASS, ASS, ASS, OTH, OTH, OTH, OTH, OTH, # 78 - 7F ACV, ACV, ACO, ACV, ACO, ACV, ACV, ASV, # 80 - 87 ASV, ASV, ASV, ASV, ASV, ASO, ASV, ASV, # 88 - 8F ASV, ASV, ASV, ASV, ASV, ASV, ASO, ASV, # 90 - 97 ASV, ASV, ASV, ASV, ASV, ASV, ASV, ASV, # 98 - 9F OTH, OTH, OTH, OTH, OTH, OTH, OTH, ASO, # A0 - A7 OTH, OTH, ODD, ODD, OTH, OTH, ACV, ACV, # A8 - AF OTH, OTH, OTH, OTH, OTH, OTH, OTH, OTH, # B0 - B7 OTH, OTH, OTH, OTH, OTH, OTH, ASV, ASV, # B8 - BF OTH, OTH, ODD, OTH, ODD, OTH, OTH, OTH, # C0 - C7 OTH, OTH, OTH, ACV, ACV, ACV, ACV, ASV, # C8 - CF OTH, OTH, OTH, OTH, OTH, OTH, OTH, ODD, # D0 - D7 ASV, ACV, ODD, OTH, OTH, OTH, OTH, OTH, # D8 - DF OTH, OTH, OTH, OTH, OTH, ACV, ACV, ACV, # E0 - E7 ACV, ACV, ACV, ACV, ACV, ACV, ACV, ACV, # E8 - EF ODD, ACV, ACV, ACV, ACV, ASV, ODD, ODD, # F0 - F7 ODD, ODD, ODD, ODD, ODD, ODD, ODD, ODD, # F8 - FF ) # 0 : illegal # 1 : very unlikely # 2 : normal # 3 : very likely MacRomanClassModel = ( # UDF OTH ASC ASS ACV ACO ASV ASO ODD 0, 0, 0, 0, 0, 0, 0, 0, 0, # UDF 0, 3, 3, 3, 3, 3, 3, 3, 1, # OTH 0, 3, 3, 3, 3, 3, 3, 3, 1, # ASC 0, 3, 3, 3, 1, 1, 3, 3, 1, # ASS 0, 3, 3, 3, 1, 2, 1, 2, 1, # ACV 0, 3, 3, 3, 3, 3, 3, 3, 1, # ACO 0, 3, 1, 3, 1, 1, 1, 3, 1, # ASV 0, 3, 1, 3, 1, 1, 3, 3, 1, # ASO 0, 1, 1, 1, 1, 1, 1, 1, 1, # ODD ) # fmt: on class MacRomanProber(CharSetProber): def __init__(self) -> None: super().__init__() self._last_char_class = OTH self._freq_counter: List[int] = [] self.reset() def reset(self) -> None: self._last_char_class = OTH self._freq_counter = [0] * FREQ_CAT_NUM # express the prior that MacRoman is a somewhat rare encoding; # this can be done by starting out in a slightly improbable state # that must be overcome self._freq_counter[2] = 10 super().reset() @property def charset_name(self) -> str: return "MacRoman" @property def language(self) -> str: return "" def feed(self, byte_str: Union[bytes, bytearray]) -> ProbingState: byte_str = self.remove_xml_tags(byte_str) for c in byte_str: char_class = MacRoman_CharToClass[c] freq = MacRomanClassModel[(self._last_char_class * CLASS_NUM) + char_class] if freq == 0: self._state = ProbingState.NOT_ME break self._freq_counter[freq] += 1 self._last_char_class = char_class return self.state def get_confidence(self) -> float: if self.state == ProbingState.NOT_ME: return 0.01 total = sum(self._freq_counter) confidence = ( 0.0 if total < 0.01 else (self._freq_counter[3] - self._freq_counter[1] * 20.0) / total ) confidence = max(confidence, 0.0) # lower the confidence of MacRoman so that other more accurate # detector can take priority. confidence *= 0.73 return confidence
Save