def handle_sentence(self, sentence):
"""Creates a `TigerGraph` for a sentence specification and feeds it to the indexer."""
graph = TigerGraph(sentence.get("id"))
graph_elem = sentence.find("graph")
self._read_nodes(graph_elem.getiterator("t"), graph.nodes,
TerminalNode, self._postproc_terminal)
self._read_nodes(graph_elem.getiterator("nt"), graph.nodes,
NonterminalNode, self._postproc_nonterminal)
graph.root_id = graph_elem.get("root")
self._indexer.add_graph(graph)
return self.DELETE_BRANCH
def handle_sentence(self, sentence):
"""Creates a `TigerGraph` for a sentence specification and feeds it to the indexer."""
graph = TigerGraph(sentence.get("id"))
graph_elem = sentence.find("graph")
self._read_nodes(graph_elem.getiterator("t"), graph.nodes, TerminalNode,
self._postproc_terminal)
self._read_nodes(graph_elem.getiterator("nt"), graph.nodes, NonterminalNode,
self._postproc_nonterminal)
graph.root_id = graph_elem.get("root")
self._indexer.add_graph(graph)
return self.DELETE_BRANCH
def deserialize_graph(self, graph_id, graph_data_buffer):
graph = TigerGraph(graph_id)
up = cPickle.Unpickler(
cStringIO.StringIO(zlib.decompress(graph_data_buffer)))
graph.root_id = up.load()
data = up.load()
for i in xrange(0, len(data), 3):
node = NonterminalNode(data[i])
node.features = self._get_features(self._nt_features, data[i + 1])
node.edges = self._get_edge_list(data[i + 2],
self._edge_label_rmap)
graph.nodes[node.id] = node
data = up.load()
for i in xrange(0, len(data), 3):
node = TerminalNode(data[i])
node.features = self._get_features(self._t_features, data[i + 1])
node.order = data[i + 2]
graph.nodes[node.id] = node
data = up.load()
for i in xrange(0, len(data), 4):
node = NonterminalNode(data[i])
node.features = self._get_features(self._nt_features, data[i + 1])
node.edges = self._get_edge_list(data[i + 2],
self._edge_label_rmap)
node.secedges = self._get_edge_list(data[i + 3],
self._secedge_label_rmap)
graph.nodes[node.id] = node
data = up.load()
for i in xrange(0, len(data), 4):
node = TerminalNode(data[i])
node.features = self._get_features(self._t_features, data[i + 1])
node.order = data[i + 2]
node.secedges = self._get_edge_list(data[i + 3],
self._secedge_label_rmap)
graph.nodes[node.id] = node
return graph
def deserialize_graph(self, graph_id, graph_data_buffer):
graph = TigerGraph(graph_id)
up = cPickle.Unpickler(cStringIO.StringIO(zlib.decompress(graph_data_buffer)))
graph.root_id = up.load()
data = up.load()
for i in xrange(0, len(data), 3):
node = NonterminalNode(data[i])
node.features = self._get_features(self._nt_features, data[i+1])
node.edges = self._get_edge_list(data[i+2], self._edge_label_rmap)
graph.nodes[node.id] = node
data = up.load()
for i in xrange(0, len(data), 3):
node = TerminalNode(data[i])
node.features = self._get_features(self._t_features, data[i+1])
node.order = data[i+2]
graph.nodes[node.id] = node
data = up.load()
for i in xrange(0, len(data), 4):
node = NonterminalNode(data[i])
node.features = self._get_features(self._nt_features, data[i+1])
node.edges = self._get_edge_list(data[i+2], self._edge_label_rmap)
node.secedges = self._get_edge_list(data[i+3], self._secedge_label_rmap)
graph.nodes[node.id] = node
data = up.load()
for i in xrange(0, len(data), 4):
node = TerminalNode(data[i])
node.features = self._get_features(self._t_features, data[i+1])
node.order = data[i+2]
node.secedges = self._get_edge_list(data[i+3], self._secedge_label_rmap)
graph.nodes[node.id] = node
return graph
