"""ANTLR3 runtime package"""
# begin[licence]
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# Copyright (c) 2005-2008 Terence Parr
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from past.utils import old_div
from schrodinger.application.desmond.antlr3.constants import EOF
from schrodinger.application.desmond.antlr3.exceptions import BacktrackingFailed
from schrodinger.application.desmond.antlr3.exceptions import \
NoViableAltException
[docs]class DFA(object):
"""@brief A DFA implemented as a set of transition tables.
Any state that has a semantic predicate edge is special; those states
are generated with if-then-else structures in a specialStateTransition()
which is generated by cyclicDFA template.
"""
[docs] def __init__(self, recognizer, decisionNumber, eot, eof, min, max, accept,
special, transition):
## Which recognizer encloses this DFA? Needed to check backtracking
self.recognizer = recognizer
self.decisionNumber = decisionNumber
self.eot = eot
self.eof = eof
self.min = min
self.max = max
self.accept = accept
self.special = special
self.transition = transition
[docs] def predict(self, input):
"""
From the input stream, predict what alternative will succeed using this
DFA (representing the covering regular approximation to the underlying
CFL). Return an alternative number 1..n. Throw an exception upon error.
"""
mark = input.mark()
s = 0 # we always start at s0
try:
for _ in range(50000):
#print "***Current state = %d" % s
specialState = self.special[s]
if specialState >= 0:
#print "is special"
s = self.specialStateTransition(specialState, input)
if s == -1:
self.noViableAlt(s, input)
return 0
input.consume()
continue
if self.accept[s] >= 1:
#print "accept state for alt %d" % self.accept[s]
return self.accept[s]
# look for a normal char transition
c = input.LA(1)
if c >= self.min[s] and c <= self.max[s]:
# move to next state
snext = self.transition[s][c - self.min[s]]
#print "in range, next state = %d" % snext
if snext < 0:
#print "not a normal transition"
# was in range but not a normal transition
# must check EOT, which is like the else clause.
# eot[s]>=0 indicates that an EOT edge goes to another
# state.
if self.eot[s] >= 0: # EOT Transition to accept state?
#print "EOT trans to accept state %d" % self.eot[s]
s = self.eot[s]
input.consume()
# TODO: I had this as return accept[eot[s]]
# which assumed here that the EOT edge always
# went to an accept...faster to do this, but
# what about predicated edges coming from EOT
# target?
continue
#print "no viable alt"
self.noViableAlt(s, input)
return 0
s = snext
input.consume()
continue
if self.eot[s] >= 0:
#print "EOT to %d" % self.eot[s]
s = self.eot[s]
input.consume()
continue
# EOF Transition to accept state?
if c == EOF and self.eof[s] >= 0:
#print "EOF Transition to accept state %d" \
# % self.accept[self.eof[s]]
return self.accept[self.eof[s]]
# not in range and not EOF/EOT, must be invalid symbol
self.noViableAlt(s, input)
return 0
else:
raise RuntimeError("DFA bang!")
finally:
input.rewind(mark)
[docs] def noViableAlt(self, s, input):
if self.recognizer._state.backtracking > 0:
raise BacktrackingFailed
nvae = NoViableAltException(self.getDescription(), self.decisionNumber,
s, input)
self.error(nvae)
raise nvae
[docs] def error(self, nvae):
"""A hook for debugging interface"""
[docs] def specialStateTransition(self, s, input):
return -1
[docs] def getDescription(self):
return "n/a"
## def specialTransition(self, state, symbol):
## return 0
[docs] def unpack(cls, string):
"""@brief Unpack the runlength encoded table data.
Terence implemented packed table initializers, because Java has a
size restriction on .class files and the lookup tables can grow
pretty large. The generated JavaLexer.java of the Java.g example
would be about 15MB with uncompressed array initializers.
Python does not have any size restrictions, but the compilation of
such large source files seems to be pretty memory hungry. The memory
consumption of the python process grew to >1.5GB when importing a
15MB lexer, eating all my swap space and I was to impacient to see,
if it could finish at all. With packed initializers that are unpacked
at import time of the lexer module, everything works like a charm.
"""
ret = []
for i in range(old_div(len(string), 2)):
(n, v) = ord(string[i * 2]), ord(string[i * 2 + 1])
# Is there a bitwise operation to do this?
if v == 0xFFFF:
v = -1
ret += [v] * n
return ret
unpack = classmethod(unpack)