def test_summary_class(self):
"""
test make summary dict
"""
self.input_module.input_fast_large_file()
wiki_vector = self.input_module.get_vector()
self.input_module = InputFile(self.word_net_file_name)
self.input_module.input_special_format_file("\t")
test_data = self.input_module.get_file_data()
self.split_synonym_class = SplitSynonymClass(test_data)
self.split_synonym_class.make_dict()
# test all dict
all_dict = self.split_synonym_class.get_all_dict()
# test split dict
split_dict = self.split_synonym_class.get_split_dict()
self.wiki_vector_summary = WikiVectorSummaryCython(
all_dict, split_dict, wiki_vector)
self.wiki_vector_summary.get_similler_word()
split_dict = self.wiki_vector_summary.get_split_dict()
for k, v in split_dict.items():
fo = open(APP_ROOT + "/../../Data/wn_summary_all/" + k + ".txt",
'w')
sys.stdout = fo
print(v)
fo.close()
sys.stdout = sys.__stdout__
class_average_vector = self.wiki_vector_summary.get_wiki_average_vector(
)
for k, v in class_average_vector.items():
fo = open(
APP_ROOT + "/../../Data/wn_summary_all_class_average/" + k +
".txt_vector.txt", 'w')
sys.stdout = fo
print(v)
fo.close()
sys.stdout = sys.__stdout__
