def match(self, input:InputStream , mode:int):
self.mode = mode
mark = input.mark()
try:
self.startIndex = input.index
self.prevAccept.reset()
dfa = self.decisionToDFA[mode]
if dfa.s0 is None:
return self.matchATN(input)
else:
return self.execATN(input, dfa.s0)
finally:
input.release(mark)
def match(self, input:InputStream , mode:int):
self.match_calls += 1
self.mode = mode
mark = input.mark()
try:
self.startIndex = input.index
self.prevAccept.reset()
dfa = self.decisionToDFA[mode]
if dfa.s0 is None:
return self.matchATN(input)
else:
return self.execATN(input, dfa.s0)
finally:
input.release(mark)
def evaluatePredicate(self, input:InputStream, ruleIndex:int, predIndex:int, speculative:bool):
# assume true if no recognizer was provided
if self.recog is None:
return True
if not speculative:
return self.recog.sempred(None, ruleIndex, predIndex)
savedcolumn = self.column
savedLine = self.line
index = input.index
marker = input.mark()
try:
self.consume(input)
return self.recog.sempred(None, ruleIndex, predIndex)
finally:
self.column = savedcolumn
self.line = savedLine
input.seek(index)
input.release(marker)
