def write_sin_dic(result, tmp, score_way, yaml_file, file_flag):
flag = 0
for key in result.keys():
if type(result[key]) == list:
sublist = result[key]
geo_mean = scores_method.geometric_mean(sublist)
elif type(result[key]) is types.StringType:
geo_mean = string.atof(result[key])
elif type(result[key]) is types.FloatType:
geo_mean = result[key]
elif type(result[key]) is types.IntType:
geo_mean = result[key]
else:
return -4
tmp.append(key)
if file_flag == 2:
geo_mean = compute_score(score_way, geo_mean)
flag1 = write_yaml_perf(yaml_file, tmp, geo_mean, file_flag)
tmp.remove(key)
if not flag1:
return flag1
flag = 1
return flag
def traverser_perf(target, yaml_file):
flag = 0
yaml_file_post = yaml_file[0:-5] + "_post" + yaml_file[-5:]
if os.path.exists(yaml_file):
shutil.copyfile(yaml_file, yaml_file_post)
else:
print "No such file %s" % yaml_file
flag = -1
return flag
fp = open(yaml_file)
dic_perf = yaml.load(fp)
fp.close()
perf_results = dic_perf['results']['Performance']
keys_sub_items = perf_results.keys()
for subItem in keys_sub_items:
test_point_dic = perf_results[subItem]
key_test_points = test_point_dic.keys()
values_test_points = []
for test_point in key_test_points:
test_case_dic = test_point_dic[test_point]
#print test_case_dic
point_values = test_case_dic['Point_Scores'].values()
useful_values = [
string.atof(x) for x in point_values if string.atof(x) != 0
]
try:
last_result = geometric_mean(useful_values)
except TypeError, e:
print e
continue
#if 'Total_Score' is not in test_case_dic:
# test_case_dic['Total_Score'] = {}
test_case_dic['Total_Scores'] = last_result
values_test_points.append(last_result)
try:
total_sub_items_result = geometric_mean(values_test_points)
except TypeError, e:
print "Compute the last score of subItem %s wrong" % subItem
print e
def normalize_score(results):
point_str = 'Point_Scores'
total_str = 'Total_Scores'
keys_sub_items = results.keys()
for subItem in keys_sub_items:
test_point_dic = results[subItem]
key_test_points = test_point_dic.keys()
values_test_points = []
# get the geometric value for each point
for test_point in key_test_points:
test_case_dic = test_point_dic[test_point]
point_values = test_case_dic[point_str].values()
useful_values = [
string.atof(x) for x in point_values if string.atof(x) >= 0
]
if len(useful_values) < 1:
last_result = 0
else:
try:
last_result = geometric_mean(useful_values)
last_result = round(last_result, 2)
except TypeError, e:
logging.info(e)
continue
test_case_dic[total_str] = last_result
values_test_points.append(last_result)
# get geometric value for each testItem
if len(values_test_points) < 1:
total_sub_items_result = 0
else:
try:
total_sub_items_result = geometric_mean(values_test_points)
except TypeError, e:
logging.info("Compute the last score of subItem %s wrong" %
subItem)
logging.info(e)
else:
def normalize_score(results):
point_str = 'Point_Scores'
total_str = 'Total_Scores'
keys_sub_items = results.keys()
for subItem in keys_sub_items:
test_point_dic = results[subItem]
key_test_points = test_point_dic.keys()
values_test_points = []
# get the geometric value for each point
for test_point in key_test_points:
test_case_dic = test_point_dic[test_point]
point_values = test_case_dic[point_str].values()
useful_values = [string.atof(x) for x in point_values
if string.atof(x) >= 0]
if len(useful_values) < 1:
last_result = 0
else:
try:
last_result = geometric_mean(useful_values)
last_result = round(last_result, 2)
except TypeError, e:
logging.info(e)
continue
test_case_dic[total_str] = last_result
values_test_points.append(last_result)
# get geometric value for each testItem
if len(values_test_points) < 1:
total_sub_items_result = 0
else:
try:
total_sub_items_result = geometric_mean(values_test_points)
except TypeError, e:
logging.info("Compute the last score of subItem %s wrong" %
subItem)
logging.info(e)
else:
