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class DARG:
"""DIRECT ACYCLIC RULE GRAPH"""
# This code is inspired from Steve Hanov’s DAWG, 2011. (http://stevehanov.ca/blog/index.php?id=115)
def __init__ (self, lRule, sLangCode):
print("===== Direct Acyclic Token Graph - Minimal Acyclic Finite State Automaton =====")
# Preparing DARG
print(" > Preparing list of tokens")
self.sLangCode = sLangCode
self.nRule = len(lRule)
self.aPreviousRule = []
Node.resetNextId()
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class DARG:
"""DIRECT ACYCLIC RULE GRAPH"""
# This code is inspired from Steve Hanov’s DAWG, 2011. (http://stevehanov.ca/blog/index.php?id=115)
def __init__ (self, lRule, sLangCode):
print("===== Direct Acyclic Rule Graph - Minimal Acyclic Finite State Automaton =====")
# Preparing DARG
print(" > Preparing list of tokens")
self.sLangCode = sLangCode
self.nRule = len(lRule)
self.aPreviousRule = []
Node.resetNextId()
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# add the suffix, starting from the correct node mid-way through the graph
if len(self.lUncheckedNodes) == 0:
oNode = self.oRoot
else:
oNode = self.lUncheckedNodes[-1][2]
iToken = nCommonPrefix
for token in aRule[nCommonPrefix:]:
oNextNode = Node()
oNode.dArcs[token] = oNextNode
self.lUncheckedNodes.append((oNode, token, oNextNode))
if iToken == (len(aRule) - 2):
oNode.bFinal = True
iToken += 1
oNode = oNextNode
oNode.bFinal = True
self.aPreviousRule = aRule
def finish (self):
"minimize unchecked nodes"
self._minimize(0)
def _minimize (self, downTo):
# proceed from the leaf up to a certain point
for i in range( len(self.lUncheckedNodes)-1, downTo-1, -1 ):
oNode, token, oChildNode = self.lUncheckedNodes[i]
if oChildNode in self.lMinimizedNodes:
# replace the child with the previously encountered one
oNode.dArcs[token] = self.lMinimizedNodes[oChildNode]
else:
# add the state to the minimized nodes.
self.lMinimizedNodes[oChildNode] = oChildNode
self.lUncheckedNodes.pop()
def countNodes (self):
self.nNode = len(self.lMinimizedNodes)
def countArcs (self):
self.nArc = 0
for oNode in self.lMinimizedNodes:
self.nArc += len(oNode.dArcs)
def lookup (self, sWord):
oNode = self.oRoot
for c in sWord:
if c not in oNode.dArcs:
return False
oNode = oNode.dArcs[c]
return oNode.bFinal
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# add the suffix, starting from the correct node mid-way through the graph
if len(self.lUncheckedNodes) == 0:
oNode = self.oRoot
else:
oNode = self.lUncheckedNodes[-1][2]
iToken = nCommonPrefix
for sToken in aRule[nCommonPrefix:]:
oNextNode = Node()
oNode.dArcs[sToken] = oNextNode
self.lUncheckedNodes.append((oNode, sToken, oNextNode))
if iToken == (len(aRule) - 2):
oNode.bFinal = True
iToken += 1
oNode = oNextNode
oNode.bFinal = True
self.aPreviousRule = aRule
def finish (self):
"minimize unchecked nodes"
self._minimize(0)
def _minimize (self, downTo):
# proceed from the leaf up to a certain point
for i in range( len(self.lUncheckedNodes)-1, downTo-1, -1 ):
oNode, sToken, oChildNode = self.lUncheckedNodes[i]
if oChildNode in self.lMinimizedNodes:
# replace the child with the previously encountered one
oNode.dArcs[sToken] = self.lMinimizedNodes[oChildNode]
else:
# add the state to the minimized nodes.
self.lMinimizedNodes[oChildNode] = oChildNode
self.lUncheckedNodes.pop()
def countNodes (self):
self.nNode = len(self.lMinimizedNodes)
def countArcs (self):
self.nArc = 0
for oNode in self.lMinimizedNodes:
self.nArc += len(oNode.dArcs)
def displayInfo (self):
print(" * {:<12} {:>16,}".format("Rules:", self.nRule))
print(" * {:<12} {:>16,}".format("Nodes:", self.nNode))
print(" * {:<12} {:>16,}".format("Arcs:", self.nArc))
def createGraph (self):
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