mirror of
https://github.com/moparisthebest/SickRage
synced 2024-11-18 15:25:07 -05:00
140 lines
5.1 KiB
Python
140 lines
5.1 KiB
Python
######################## BEGIN LICENSE BLOCK ########################
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# The Original Code is Mozilla Universal charset detector code.
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#
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# The Initial Developer of the Original Code is
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# Netscape Communications Corporation.
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# Portions created by the Initial Developer are Copyright (C) 2001
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# the Initial Developer. All Rights Reserved.
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#
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# Contributor(s):
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# Mark Pilgrim - port to Python
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# Shy Shalom - original C code
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#
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# This library is free software; you can redistribute it and/or
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# modify it under the terms of the GNU Lesser General Public
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# License as published by the Free Software Foundation; either
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# version 2.1 of the License, or (at your option) any later version.
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#
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# This library is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
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# Lesser General Public License for more details.
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#
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# You should have received a copy of the GNU Lesser General Public
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# License along with this library; if not, write to the Free Software
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# Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA
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# 02110-1301 USA
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######################### END LICENSE BLOCK #########################
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from .charsetprober import CharSetProber
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from .constants import eNotMe
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from .compat import wrap_ord
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FREQ_CAT_NUM = 4
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UDF = 0 # undefined
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OTH = 1 # other
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ASC = 2 # ascii capital letter
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ASS = 3 # ascii small letter
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ACV = 4 # accent capital vowel
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ACO = 5 # accent capital other
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ASV = 6 # accent small vowel
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ASO = 7 # accent small other
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CLASS_NUM = 8 # total classes
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Latin1_CharToClass = (
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OTH, OTH, OTH, OTH, OTH, OTH, OTH, OTH, # 00 - 07
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OTH, OTH, OTH, OTH, OTH, OTH, OTH, OTH, # 08 - 0F
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OTH, OTH, OTH, OTH, OTH, OTH, OTH, OTH, # 10 - 17
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OTH, OTH, OTH, OTH, OTH, OTH, OTH, OTH, # 18 - 1F
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OTH, OTH, OTH, OTH, OTH, OTH, OTH, OTH, # 20 - 27
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OTH, OTH, OTH, OTH, OTH, OTH, OTH, OTH, # 28 - 2F
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OTH, OTH, OTH, OTH, OTH, OTH, OTH, OTH, # 30 - 37
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OTH, OTH, OTH, OTH, OTH, OTH, OTH, OTH, # 38 - 3F
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OTH, ASC, ASC, ASC, ASC, ASC, ASC, ASC, # 40 - 47
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ASC, ASC, ASC, ASC, ASC, ASC, ASC, ASC, # 48 - 4F
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ASC, ASC, ASC, ASC, ASC, ASC, ASC, ASC, # 50 - 57
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ASC, ASC, ASC, OTH, OTH, OTH, OTH, OTH, # 58 - 5F
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OTH, ASS, ASS, ASS, ASS, ASS, ASS, ASS, # 60 - 67
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ASS, ASS, ASS, ASS, ASS, ASS, ASS, ASS, # 68 - 6F
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ASS, ASS, ASS, ASS, ASS, ASS, ASS, ASS, # 70 - 77
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ASS, ASS, ASS, OTH, OTH, OTH, OTH, OTH, # 78 - 7F
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OTH, UDF, OTH, ASO, OTH, OTH, OTH, OTH, # 80 - 87
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OTH, OTH, ACO, OTH, ACO, UDF, ACO, UDF, # 88 - 8F
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UDF, OTH, OTH, OTH, OTH, OTH, OTH, OTH, # 90 - 97
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OTH, OTH, ASO, OTH, ASO, UDF, ASO, ACO, # 98 - 9F
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OTH, OTH, OTH, OTH, OTH, OTH, OTH, OTH, # A0 - A7
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OTH, OTH, OTH, OTH, OTH, OTH, OTH, OTH, # A8 - AF
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OTH, OTH, OTH, OTH, OTH, OTH, OTH, OTH, # B0 - B7
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OTH, OTH, OTH, OTH, OTH, OTH, OTH, OTH, # B8 - BF
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ACV, ACV, ACV, ACV, ACV, ACV, ACO, ACO, # C0 - C7
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ACV, ACV, ACV, ACV, ACV, ACV, ACV, ACV, # C8 - CF
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ACO, ACO, ACV, ACV, ACV, ACV, ACV, OTH, # D0 - D7
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ACV, ACV, ACV, ACV, ACV, ACO, ACO, ACO, # D8 - DF
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ASV, ASV, ASV, ASV, ASV, ASV, ASO, ASO, # E0 - E7
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ASV, ASV, ASV, ASV, ASV, ASV, ASV, ASV, # E8 - EF
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ASO, ASO, ASV, ASV, ASV, ASV, ASV, OTH, # F0 - F7
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ASV, ASV, ASV, ASV, ASV, ASO, ASO, ASO, # F8 - FF
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)
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# 0 : illegal
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# 1 : very unlikely
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# 2 : normal
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# 3 : very likely
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Latin1ClassModel = (
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# UDF OTH ASC ASS ACV ACO ASV ASO
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0, 0, 0, 0, 0, 0, 0, 0, # UDF
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0, 3, 3, 3, 3, 3, 3, 3, # OTH
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0, 3, 3, 3, 3, 3, 3, 3, # ASC
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0, 3, 3, 3, 1, 1, 3, 3, # ASS
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0, 3, 3, 3, 1, 2, 1, 2, # ACV
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0, 3, 3, 3, 3, 3, 3, 3, # ACO
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0, 3, 1, 3, 1, 1, 1, 3, # ASV
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0, 3, 1, 3, 1, 1, 3, 3, # ASO
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)
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class Latin1Prober(CharSetProber):
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def __init__(self):
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CharSetProber.__init__(self)
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self.reset()
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def reset(self):
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self._mLastCharClass = OTH
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self._mFreqCounter = [0] * FREQ_CAT_NUM
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CharSetProber.reset(self)
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def get_charset_name(self):
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return "windows-1252"
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def feed(self, aBuf):
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aBuf = self.filter_with_english_letters(aBuf)
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for c in aBuf:
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charClass = Latin1_CharToClass[wrap_ord(c)]
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freq = Latin1ClassModel[(self._mLastCharClass * CLASS_NUM)
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+ charClass]
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if freq == 0:
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self._mState = eNotMe
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break
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self._mFreqCounter[freq] += 1
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self._mLastCharClass = charClass
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return self.get_state()
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def get_confidence(self):
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if self.get_state() == eNotMe:
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return 0.01
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total = sum(self._mFreqCounter)
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if total < 0.01:
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confidence = 0.0
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else:
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confidence = ((self._mFreqCounter[3] - self._mFreqCounter[1] * 20.0)
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/ total)
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if confidence < 0.0:
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confidence = 0.0
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# lower the confidence of latin1 so that other more accurate
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# detector can take priority.
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confidence = confidence * 0.73
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return confidence
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