mirror of
https://github.com/mudabbir-ahmad/MYOL-TB2-prog3-Py.git
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57 lines
1.7 KiB
Python
57 lines
1.7 KiB
Python
# Generated from ./week3.g4 by ANTLR 4.13.2
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from antlr4 import *
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from io import StringIO
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import sys
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if sys.version_info[1] > 5:
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from typing import TextIO
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else:
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from typing.io import TextIO
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def serializedATN():
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return [
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4,0,3,27,6,-1,2,0,7,0,2,1,7,1,2,2,7,2,1,0,1,0,1,0,1,0,1,0,1,0,1,
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0,1,0,1,1,4,1,17,8,1,11,1,12,1,18,1,2,4,2,22,8,2,11,2,12,2,23,1,
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2,1,2,0,0,3,1,1,3,2,5,3,1,0,2,2,0,65,90,97,122,3,0,9,10,13,13,32,
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32,28,0,1,1,0,0,0,0,3,1,0,0,0,0,5,1,0,0,0,1,7,1,0,0,0,3,16,1,0,0,
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0,5,21,1,0,0,0,7,8,5,109,0,0,8,9,5,105,0,0,9,10,5,110,0,0,10,11,
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5,105,0,0,11,12,5,109,0,0,12,13,5,97,0,0,13,14,5,108,0,0,14,2,1,
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0,0,0,15,17,7,0,0,0,16,15,1,0,0,0,17,18,1,0,0,0,18,16,1,0,0,0,18,
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19,1,0,0,0,19,4,1,0,0,0,20,22,7,1,0,0,21,20,1,0,0,0,22,23,1,0,0,
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0,23,21,1,0,0,0,23,24,1,0,0,0,24,25,1,0,0,0,25,26,6,2,0,0,26,6,1,
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0,0,0,3,0,18,23,1,6,0,0
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]
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class week3Lexer(Lexer):
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atn = ATNDeserializer().deserialize(serializedATN())
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decisionsToDFA = [ DFA(ds, i) for i, ds in enumerate(atn.decisionToState) ]
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T__0 = 1
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ID = 2
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WS = 3
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channelNames = [ u"DEFAULT_TOKEN_CHANNEL", u"HIDDEN" ]
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modeNames = [ "DEFAULT_MODE" ]
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literalNames = [ "<INVALID>",
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"'minimal'" ]
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symbolicNames = [ "<INVALID>",
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"ID", "WS" ]
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ruleNames = [ "T__0", "ID", "WS" ]
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grammarFileName = "week3.g4"
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def __init__(self, input=None, output:TextIO = sys.stdout):
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super().__init__(input, output)
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self.checkVersion("4.13.2")
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self._interp = LexerATNSimulator(self, self.atn, self.decisionsToDFA, PredictionContextCache())
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self._actions = None
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self._predicates = None
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