def test_summary_class(self):
     """
     test make summary dict
     """
     self.input_module.input_fast_large_file()
     wiki_vector = self.input_module.get_vector()
     wn_summary_list = APP_ROOT + '/../../Data/wn_summary_list.txt'
     self.input_module = InputFileCython(wn_summary_list)
     self.input_module.input_special_format_file()
     file_list = self.input_module.get_file_data()
     count = 0
     class_word_vector = {}
     class_average_vector = {}
     for file in file_list:
         self.input_module = InputFileCython(APP_ROOT + "/../../Data/wn_summary/" + file.strip())
         self.input_module.input_special_format_file()
         if count == 0:
             class_summary = ClassSummaryCython(file.strip(), self.input_module.get_file_data(), wiki_vector)
         else:
             class_summary = ClassSummaryCython(file.strip(), self.input_module.get_file_data(), wiki_vector, class_word_vector, class_average_vector)
         class_word_vector, class_average_vector = class_summary.summary_class()
         fo = open(APP_ROOT + "/../../Data/test/" + file.strip() + "_vector.txt", 'w')
         sys.stdout = fo
         print(class_average_vector[file.strip()])
         fo.close()
         sys.stdout = sys.__stdout__
     class_summary_cosine_similarity_cython = ClassSummaryCosineSimilarityCython(class_average_vector)
     class_summary_cosine_similarity_cython.summary_class_use_cosine_similarity()
 def test_summary_class(self):
     """
     test make summary dict
     """
     file_list = self.input_module.get_file_data()
     wn_average_vector_list = APP_ROOT + '/../../Data/wn_average_vector_list.txt'
     self.input_module = InputFileCython(wn_average_vector_list)
     self.input_module.input_special_format_file()
     vector_list = self.input_module.get_file_data()
     class_word_vector = {}
     class_average_vector = {}
     for file in file_list:
         self.input_module = InputFileCython(APP_ROOT + "/../../Data/wn_summary/" + file.strip())
         self.input_module.input_special_format_file()
         if file.strip() not in class_word_vector:
             word_list = re.sub("\]|\[|\'", "", self.input_module.get_file_data()[0].strip())
             class_word_vector.update({file.strip().replace(".txt", ""): word_list.split(",")})
     for vector in vector_list:
         self.input_module = InputFileCython(APP_ROOT + "/../../Data/wn_summary_multi/" + vector.strip())
         self.input_module.input_special_format_file()
         vector_list = []
         if vector.strip() not in class_average_vector:
             for value in self.input_module.get_file_data():
                 value = re.sub("\]|\[|\'", "", value.strip())
                 [vector_list.append(each_value) for each_value in value.split(" ") if each_value != ""]
                 vector_list = list(map(float, vector_list))
             class_average_vector.update({vector.strip().replace(".txt_vector.txt", ""): vector_list})
     class_summary_cosine_similarity_cython = ClassSummaryCosineSimilarityCython(class_word_vector, class_average_vector)
     class_summary_cosine_similarity_cython.summary_class_use_cosine_similarity()
 def test_summary_class(self):
     """
     test make summary dict
     """
     file_list = self.input_module.get_file_data()
     wn_average_vector_list = APP_ROOT + '/../../Data/wn_average_vector_list.txt'
     self.input_module = InputFileCython(wn_average_vector_list)
     self.input_module.input_special_format_file()
     vector_list = self.input_module.get_file_data()
     class_word_vector = {}
     class_average_vector = {}
     for file in file_list:
         self.input_module = InputFileCython(APP_ROOT +
                                             "/../../Data/wn_summary/" +
                                             file.strip())
         self.input_module.input_special_format_file()
         if file.strip() not in class_word_vector:
             word_list = re.sub(
                 "\]|\[|\'", "",
                 self.input_module.get_file_data()[0].strip())
             class_word_vector.update(
                 {file.strip().replace(".txt", ""): word_list.split(",")})
     for vector in vector_list:
         self.input_module = InputFileCython(
             APP_ROOT + "/../../Data/wn_summary_multi/" + vector.strip())
         self.input_module.input_special_format_file()
         vector_list = []
         if vector.strip() not in class_average_vector:
             for value in self.input_module.get_file_data():
                 value = re.sub("\]|\[|\'", "", value.strip())
                 [
                     vector_list.append(each_value)
                     for each_value in value.split(" ") if each_value != ""
                 ]
                 vector_list = list(map(float, vector_list))
             class_average_vector.update({
                 vector.strip().replace(".txt_vector.txt", ""):
                 vector_list
             })
     class_summary_cosine_similarity_cython = ClassSummaryCosineSimilarityCython(
         class_word_vector, class_average_vector)
     class_summary_cosine_similarity_cython.summary_class_use_cosine_similarity(
     )
Example #4
0
 def test_summary_class(self):
     """
     test make summary dict
     """
     self.input_module.input_fast_large_file()
     wiki_vector = self.input_module.get_vector()
     wn_summary_list = APP_ROOT + '/../../Data/wn_summary_list.txt'
     self.input_module = InputFileCython(wn_summary_list)
     self.input_module.input_special_format_file()
     file_list = self.input_module.get_file_data()
     count = 0
     class_word_vector = {}
     class_average_vector = {}
     for file in file_list:
         self.input_module = InputFileCython(APP_ROOT +
                                             "/../../Data/wn_summary/" +
                                             file.strip())
         self.input_module.input_special_format_file()
         if count == 0:
             class_summary = ClassSummaryCython(
                 file.strip(), self.input_module.get_file_data(),
                 wiki_vector)
         else:
             class_summary = ClassSummaryCython(
                 file.strip(), self.input_module.get_file_data(),
                 wiki_vector, class_word_vector, class_average_vector)
         class_word_vector, class_average_vector = class_summary.summary_class(
         )
         fo = open(
             APP_ROOT + "/../../Data/test/" + file.strip() + "_vector.txt",
             'w')
         sys.stdout = fo
         print(class_average_vector[file.strip()])
         fo.close()
         sys.stdout = sys.__stdout__
     class_summary_cosine_similarity_cython = ClassSummaryCosineSimilarityCython(
         class_average_vector)
     class_summary_cosine_similarity_cython.summary_class_use_cosine_similarity(
     )