def computeSimilarScores(RelatedSrcfileinfo_dict, allAPI_info_list, weights,
APIinfo_list):
#text0_list:类名 方法名 参数名 因为相似度计算是 列表存的words
#text1_list:注释
SimilarScores_dict = {}
text0_list = []
text1_list = []
for key in RelatedSrcfileinfo_dict:
text0_list = text0_list + RelatedSrcfileinfo_dict[key][0]
text1_list = text1_list + RelatedSrcfileinfo_dict[key][1]
text0_result = getStrucCmptScors.Half_computeSimilarity(
text0_list, APIinfo_list)
text1_result = getStrucCmptScors.Half_computeSimilarity(
text1_list, APIinfo_list)
if len(text0_result) > len(text1_result):
text0_result = text0_result[:len(text1_result)]
if len(text1_result) > len(text0_result):
text1_result = text1_result[:len(text0_result)]
for i in range(len(allAPI_info_list)):
API = allAPI_info_list[i][0] + '.' + allAPI_info_list[i][1]
try:
score = text0_result[i] * weights[0] + text1_result[i] * weights[1]
except IndexError:
break
if SimilarScores_dict.has_key(
API) and SimilarScores_dict[API] >= score:
pass
else:
SimilarScores_dict[API] = score
return SimilarScores_dict
def computeSimilarScores( RelatedSrcfileinfo_dict , allAPI_info_list ):
#text0_list:类名 方法名 参数名 因为相似度计算是 列表存的words
#text1_list:注释
text0_list = []
text1_list = []
for key in RelatedSrcfileinfo_dict:
text0_list = text0_list + RelatedSrcfileinfo_dict[key][0]
text1_list = text1_list + RelatedSrcfileinfo_dict[key][1]
text0_result = getStrucCmptScors.Half_computeSimilarity(text0_list,APIinfo_list)
text1_result = getStrucCmptScors.Half_computeSimilarity(text1_list,APIinfo_list)
return text0_result,text1_result