def subgraph_to_string(graph,node,exclude=[]):
nodes = [node]
change = True
while change:
change=False
for curNode in nodes:
for curNeigbour in graph.neighbors(curNode):
if (curNeigbour in nodes) or (curNeigbour in exclude): continue
nodes.append(curNeigbour)
change = True
# minInd = min([n.minIndex() for n in nodes])-1
# maxInd = max([n.maxIndex() for n in nodes])-1
# ret = " ".join(graph.originalSentence.split(" ")[minInd:maxInd+1])
# nodes = [n for n in minimal_spanning_tree(graph, node) if not n in exclude]
# ret = " ".join(node.get_original_text() for node in sorted(nodes,key = lambda n: n.minIndex()))
try:
ret = ""
words = []
for n in nodes:
words += n.surface_form
words = list(set(words))
ret = " ".join([w.word for w in strip_punctuations(sorted(words,key=lambda w:w.index))])+" "
except:
raise Exception()
#
return ret
def subgraph_to_string(graph, node, exclude=[]):
nodes = [node]
change = True
while change:
change = False
for curNode in nodes:
for curNeigbour in graph.neighbors(curNode):
if (curNeigbour in nodes) or (curNeigbour in exclude): continue
nodes.append(curNeigbour)
change = True
# minInd = min([n.minIndex() for n in nodes])-1
# maxInd = max([n.maxIndex() for n in nodes])-1
# ret = " ".join(graph.originalSentence.split(" ")[minInd:maxInd+1])
# nodes = [n for n in minimal_spanning_tree(graph, node) if not n in exclude]
# ret = " ".join(node.get_original_text() for node in sorted(nodes,key = lambda n: n.minIndex()))
try:
ret = ""
words = []
for n in nodes:
words += n.surface_form
words = list(set(words))
ret = " ".join([
w.word
for w in strip_punctuations(sorted(words, key=lambda w: w.index))
]) + " "
except:
raise Exception()
#
return ret
def __str__(self):
ret = '<TABLE BORDER="0" CELLSPACING="0"><TR><TD>'
filtered_spans = []
for feat,_ in PRINT_FEATURES:
if (feat in self.features) and (isinstance(self.features[feat], dict)) and ("Span" in self.features[feat]):
filtered_spans.extend(self.features[feat]["Span"])
if 'Lemma' in self.features and len(self.text)==1:
self.str = [Word(index = self.text[0].index,word=self.features['Lemma'])]
else:
ls = self.text
if self.orderText:
ls = sorted(self.text,key=lambda word:word.index)
# self.str stores the words as displayed in the node
self.str = [w for w in ls if w.index not in filtered_spans]
self.str = strip_punctuations(self.str)
ret+= " ".join([str(x) for x in self.str])
ret+="</TD></TR>"
for feat, printFunc in PRINT_FEATURES:
if feat in self.features:
if self.isPredicate and feat =="Definite":
continue
ret += "<TR><TD>"
ret+= '<FONT POINT-SIZE="10">{0}</FONT>'.format(cgi.escape(str(printFunc(self.features[feat]))))
ret+="</TD></TR>"
ret +="</TABLE>"
return ret
def __str__(self):
ret = '<TABLE BORDER="0" CELLSPACING="0"><TR><TD>'
filtered_spans = []
for feat,_ in PRINT_FEATURES:
if (feat in self.features) and (isinstance(self.features[feat], dict)) and ("Span" in self.features[feat]):
filtered_spans.extend(self.features[feat]["Span"])
if 'Lemma' in self.features and len(self.text)==1:
self.str = [Word(index = self.text[0].index,word=self.features['Lemma'])]
else:
ls = self.text
if self.orderText:
ls = sorted(self.text,key=lambda word:word.index)
# self.str stores the words as displayed in the node
self.str = [w for w in ls if w.index not in filtered_spans]
self.str = strip_punctuations(self.str)
ret+= " ".join([str(x) for x in self.str])
ret+="</TD></TR>"
for feat, printFunc in PRINT_FEATURES:
if feat in self.features:
if self.isPredicate and feat =="Definite":
continue
if self.features.get("Determiner",{"Value":""})["Value"] == "no":
del(self.features["Determiner"])
continue
ret += "<TR><TD>"
ret+= '<FONT POINT-SIZE="10">{0}</FONT>'.format(cgi.escape(str(printFunc(self.features[feat]))))
ret+="</TD></TR>"
ret +="</TABLE>"
return ret