How to use deriveEpsilon method in avocado

Best Python code snippet using avocado_python

spark.py

Source: spark.py Github

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...486 rule = c[2]487 choices.append(rule)488 rule2cause[rule] = c489 return rule2cause[self.ambiguity(choices)]490 def deriveEpsilon(self, nt):491 if len(self.newrules[nt]) > 1:492 rule = self.ambiguity(self.newrules[nt])493 else:494 rule = self.newrules[nt][0]495 #print rule496 rhs = rule[1]497 attr = [None] * len(rhs)498 for i in xrange(len(rhs)-1, -1, -1):499 attr[i] = self.deriveEpsilon(rhs[i])500 return self.rule2func[self.new2old[rule]](attr)501 def buildTree(self, nt, item, tokens, k):502 state, parent = item503 choices = []504 for rule in self.states[state].complete:505 if rule[0] == nt:506 choices.append(rule)507 rule = choices[0]508 if len(choices) > 1:509 rule = self.ambiguity(choices)510 #print rule511 rhs = rule[1]512 attr = [None] * len(rhs)513 for i in xrange(len(rhs)-1, -1, -1):514 sym = rhs[i]515 if not self.newrules.has_key(sym):516 if sym != self._BOF:517 attr[i] = tokens[k-1]518 key = (item, k)519 item, k = self.predecessor(key, None)520 #elif self.isnullable(sym):521 elif self._NULLABLE == sym[0:len(self._NULLABLE)]:522 attr[i] = self.deriveEpsilon(sym)523 else:524 key = (item, k)525 why = self.causal(key)526 attr[i] = self.buildTree(sym, why[0],527 tokens, why[1])528 item, k = self.predecessor(key, why)529 return self.rule2func[self.new2old[rule]](attr)530 def ambiguity(self, rules):531 #532 # XXX - problem here and in collectRules() if the same rule533 # appears in >1 method. Also undefined results if rules534 # causing the ambiguity appear in the same method.535 #536 ...

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