def process_cf_match(self, cf_match, indent, report):
if cf_match == None or len(cf_match) == 0:
return report
parser = None
production = None
[gname, pname] = cf_match[0].split(":")
parser = self.get_parser(gname)
production = parser.getGrammarForUnit(pname)
new_result_forest_0 = []
new_result_forest_1 = []
text_tree_0 = report["result_forest_0"][0]
params0 = {"pos": 1, "pos2type": [], "pos2ref": [], "stack": [], "refKey": parser.refKey}
for parse_tree, s, e in production.scanString(text_tree_0):
t0 = parser.normalizeParseTree(parse_tree.asList())
[t0, params0] = TD.postorder_traverse(t0, params0, self.set_position_as_id)
[t0, params0] = TD.postorder_traverse(t0, params0, self.compute_type_list)
[t0, params0] = TD.preorder_traverse(t0, params0, self.compute_references)
[t0, params0] = TD.postorder_traverse(t0, params0, self.compute_reference_list)
report["result_parse_tree_0"].append(t0)
report["pos2types0"].append(params0["pos2type"])
report["pos2refs0"].append(params0["pos2ref"])
text_tree_1 = report["result_forest_1"][0]
params1 = {"pos": 1, "pos2type": [], "pos2ref": [], "stack": [], "refKey": parser.refKey}
for parse_tree, s, e in production.scanString(text_tree_1):
t1 = parser.normalizeParseTree(parse_tree.asList())
[t1, params1] = TD.postorder_traverse(t1, params1, self.set_position_as_id)
[t1, params1] = TD.postorder_traverse(t1, params1, self.compute_type_list)
[t1, params1] = TD.preorder_traverse(t1, params1, self.compute_references)
[t1, params1] = TD.postorder_traverse(t1, params1, self.compute_reference_list)
report["result_parse_tree_1"].append(t1)
report["pos2types1"].append(params1["pos2type"])
report["pos2refs1"].append(params1["pos2ref"])
return report
def process_cf_match(self, cf_match, indent, report):
if cf_match == None or len(cf_match) == 0:
return report
parser = None
production = None
[gname, pname] = cf_match[0].split(':')
parser = self.get_parser(gname)
production = parser.getGrammarForUnit(pname)
text_tree_0 = report['result_forest_0'][0]
params0 = {'pos': 1, 'pos2type': [], 'pos2ref': [], 'stack': [], 'refKey': parser.refKey}
for parse_tree, s, e in production.scanString(text_tree_0):
t0 = parser.normalizeParseTree(parse_tree.asList())
[t0, params0] = TD.postorder_traverse(t0, params0, self.set_position_as_id)
[t0, params0] = TD.postorder_traverse(t0, params0, self.compute_type_list)
[t0, params0] = TD.preorder_traverse(t0, params0, self.compute_references)
[t0, params0] = TD.postorder_traverse(t0, params0, self.compute_reference_list)
report['result_parse_tree_0'].append(t0)
report['pos2types0'].append(params0['pos2type'])
report['pos2refs0'].append(params0['pos2ref'])
text_tree_1 = report['result_forest_1'][0]
params1 = {'pos': 1, 'pos2type': [], 'pos2ref': [], 'stack': [], 'refKey': parser.refKey}
for parse_tree, s, e in production.scanString(text_tree_1):
t1 = parser.normalizeParseTree(parse_tree.asList())
[t1, params1] = TD.postorder_traverse(t1, params1, self.set_position_as_id)
[t1, params1] = TD.postorder_traverse(t1, params1, self.compute_type_list)
[t1, params1] = TD.preorder_traverse(t1, params1, self.compute_references)
[t1, params1] = TD.postorder_traverse(t1, params1, self.compute_reference_list)
report['result_parse_tree_1'].append(t1)
report['pos2types1'].append(params1['pos2type'])
report['pos2refs1'].append(params1['pos2ref'])
return report
