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1 ######################## BEGIN LICENSE BLOCK ########################
2 # This code was modified from latin1prober.py by Rob Speer <rob@lumino.so>.
3 # The Original Code is Mozilla Universal charset detector code.
4 #
5 # The Initial Developer of the Original Code is
6 # Netscape Communications Corporation.
7 # Portions created by the Initial Developer are Copyright (C) 2001
8 # the Initial Developer. All Rights Reserved.
9 #
10 # Contributor(s):
11 # Rob Speer - adapt to MacRoman encoding
12 # Mark Pilgrim - port to Python
13 # Shy Shalom - original C code
14 #
15 # This library is free software; you can redistribute it and/or
16 # modify it under the terms of the GNU Lesser General Public
17 # License as published by the Free Software Foundation; either
18 # version 2.1 of the License, or (at your option) any later version.
19 #
20 # This library is distributed in the hope that it will be useful,
21 # but WITHOUT ANY WARRANTY; without even the implied warranty of
22 # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
23 # Lesser General Public License for more details.
24 #
25 # You should have received a copy of the GNU Lesser General Public
26 # License along with this library; if not, write to the Free Software
27 # Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA
28 # 02110-1301 USA
29 ######################### END LICENSE BLOCK #########################
30
31 from typing import List, Union
32
33 from .charsetprober import CharSetProber
34 from .enums import ProbingState
35
36 FREQ_CAT_NUM = 4
37
38 UDF = 0 # undefined
39 OTH = 1 # other
40 ASC = 2 # ascii capital letter
41 ASS = 3 # ascii small letter
42 ACV = 4 # accent capital vowel
43 ACO = 5 # accent capital other
44 ASV = 6 # accent small vowel
45 ASO = 7 # accent small other
46 ODD = 8 # character that is unlikely to appear
47 CLASS_NUM = 9 # total classes
48
49 # The change from Latin1 is that we explicitly look for extended characters
50 # that are infrequently-occurring symbols, and consider them to always be
51 # improbable. This should let MacRoman get out of the way of more likely
52 # encodings in most situations.
53
54 # fmt: off
55 MacRoman_CharToClass = (
56 OTH, OTH, OTH, OTH, OTH, OTH, OTH, OTH, # 00 - 07
57 OTH, OTH, OTH, OTH, OTH, OTH, OTH, OTH, # 08 - 0F
58 OTH, OTH, OTH, OTH, OTH, OTH, OTH, OTH, # 10 - 17
59 OTH, OTH, OTH, OTH, OTH, OTH, OTH, OTH, # 18 - 1F
60 OTH, OTH, OTH, OTH, OTH, OTH, OTH, OTH, # 20 - 27
61 OTH, OTH, OTH, OTH, OTH, OTH, OTH, OTH, # 28 - 2F
62 OTH, OTH, OTH, OTH, OTH, OTH, OTH, OTH, # 30 - 37
63 OTH, OTH, OTH, OTH, OTH, OTH, OTH, OTH, # 38 - 3F
64 OTH, ASC, ASC, ASC, ASC, ASC, ASC, ASC, # 40 - 47
65 ASC, ASC, ASC, ASC, ASC, ASC, ASC, ASC, # 48 - 4F
66 ASC, ASC, ASC, ASC, ASC, ASC, ASC, ASC, # 50 - 57
67 ASC, ASC, ASC, OTH, OTH, OTH, OTH, OTH, # 58 - 5F
68 OTH, ASS, ASS, ASS, ASS, ASS, ASS, ASS, # 60 - 67
69 ASS, ASS, ASS, ASS, ASS, ASS, ASS, ASS, # 68 - 6F
70 ASS, ASS, ASS, ASS, ASS, ASS, ASS, ASS, # 70 - 77
71 ASS, ASS, ASS, OTH, OTH, OTH, OTH, OTH, # 78 - 7F
72 ACV, ACV, ACO, ACV, ACO, ACV, ACV, ASV, # 80 - 87
73 ASV, ASV, ASV, ASV, ASV, ASO, ASV, ASV, # 88 - 8F
74 ASV, ASV, ASV, ASV, ASV, ASV, ASO, ASV, # 90 - 97
75 ASV, ASV, ASV, ASV, ASV, ASV, ASV, ASV, # 98 - 9F
76 OTH, OTH, OTH, OTH, OTH, OTH, OTH, ASO, # A0 - A7
77 OTH, OTH, ODD, ODD, OTH, OTH, ACV, ACV, # A8 - AF
78 OTH, OTH, OTH, OTH, OTH, OTH, OTH, OTH, # B0 - B7
79 OTH, OTH, OTH, OTH, OTH, OTH, ASV, ASV, # B8 - BF
80 OTH, OTH, ODD, OTH, ODD, OTH, OTH, OTH, # C0 - C7
81 OTH, OTH, OTH, ACV, ACV, ACV, ACV, ASV, # C8 - CF
82 OTH, OTH, OTH, OTH, OTH, OTH, OTH, ODD, # D0 - D7
83 ASV, ACV, ODD, OTH, OTH, OTH, OTH, OTH, # D8 - DF
84 OTH, OTH, OTH, OTH, OTH, ACV, ACV, ACV, # E0 - E7
85 ACV, ACV, ACV, ACV, ACV, ACV, ACV, ACV, # E8 - EF
86 ODD, ACV, ACV, ACV, ACV, ASV, ODD, ODD, # F0 - F7
87 ODD, ODD, ODD, ODD, ODD, ODD, ODD, ODD, # F8 - FF
88 )
89
90 # 0 : illegal
91 # 1 : very unlikely
92 # 2 : normal
93 # 3 : very likely
94 MacRomanClassModel = (
95 # UDF OTH ASC ASS ACV ACO ASV ASO ODD
96 0, 0, 0, 0, 0, 0, 0, 0, 0, # UDF
97 0, 3, 3, 3, 3, 3, 3, 3, 1, # OTH
98 0, 3, 3, 3, 3, 3, 3, 3, 1, # ASC
99 0, 3, 3, 3, 1, 1, 3, 3, 1, # ASS
100 0, 3, 3, 3, 1, 2, 1, 2, 1, # ACV
101 0, 3, 3, 3, 3, 3, 3, 3, 1, # ACO
102 0, 3, 1, 3, 1, 1, 1, 3, 1, # ASV
103 0, 3, 1, 3, 1, 1, 3, 3, 1, # ASO
104 0, 1, 1, 1, 1, 1, 1, 1, 1, # ODD
105 )
106 # fmt: on
107
108
109 class MacRomanProber(CharSetProber):
110 def __init__(self) -> None:
111 super().__init__()
112 self._last_char_class = OTH
113 self._freq_counter: List[int] = []
114 self.reset()
115
116 def reset(self) -> None:
117 self._last_char_class = OTH
118 self._freq_counter = [0] * FREQ_CAT_NUM
119
120 # express the prior that MacRoman is a somewhat rare encoding;
121 # this can be done by starting out in a slightly improbable state
122 # that must be overcome
123 self._freq_counter[2] = 10
124
125 super().reset()
126
127 @property
128 def charset_name(self) -> str:
129 return "MacRoman"
130
131 @property
132 def language(self) -> str:
133 return ""
134
135 def feed(self, byte_str: Union[bytes, bytearray]) -> ProbingState:
136 byte_str = self.remove_xml_tags(byte_str)
137 for c in byte_str:
138 char_class = MacRoman_CharToClass[c]
139 freq = MacRomanClassModel[(self._last_char_class * CLASS_NUM) + char_class]
140 if freq == 0:
141 self._state = ProbingState.NOT_ME
142 break
143 self._freq_counter[freq] += 1
144 self._last_char_class = char_class
145
146 return self.state
147
148 def get_confidence(self) -> float:
149 if self.state == ProbingState.NOT_ME:
150 return 0.01
151
152 total = sum(self._freq_counter)
153 confidence = (
154 0.0
155 if total < 0.01
156 else (self._freq_counter[3] - self._freq_counter[1] * 20.0) / total
157 )
158 confidence = max(confidence, 0.0)
159 # lower the confidence of MacRoman so that other more accurate
160 # detector can take priority.
161 confidence *= 0.73
162 return confidence