def generator(current_frontier):
mean = 0
maj_cnt = 0
global cov_dict,prev_cov_dict,run_data
prev_cov_dict = cov_dict.copy()
main_lists = [current_frontier[i:i+n] for i in range(0,len(current_frontier),n)]
for i,sub_list in enumerate(main_lists):
cov.start()
for params in sub_list:
def_values1 = params[0]
def_values2 = params[1]
slicetest_data_global = params[2]
test_all_trees.aaa(def_values1, def_values2, slicetest_data_global)
cov.stop()
cov.save()
cov.html_report()
analyzedData = analyzeCoverageData(cov)
cov_list.append(analyzedData)
cov_dict[i] = analyzedData
if analyzedData > 0.75:
maj_cnt += 1
mean+=analyzedData
run_data.append(cov_dict.values())
print "--"*20
print "Mean: ",float(mean)/(candidates/n)
print "Candidates with more than 75% coverage: ",maj_cnt
print "median: ",data_visualization.median(cov_dict.values())
def generator(current_frontier):
global cov_dict,prev_cov_dict,run_data
mean = 0
maj_cnt = 0
prev_cov_dict = cov_dict.copy()
main_lists = [current_frontier[i:i+n] for i in range(0,len(current_frontier),n)]
for i,sub_list in enumerate(main_lists):
cov.erase()
cov.start()
for params in sub_list:
check_em_too(randomword(params[0]), randomword(params[1]),randomword(params[2]), randomword(params[3]))
cov.stop()
cov.html_report()
dict = cov.analysis2('test_maincode_str.py')
totLines = dict[1]
msdLines = dict[3]
linesExe = len(totLines) - len(msdLines)
linesExePc = (float)(linesExe)/ len(totLines)
cov_list.append(linesExePc)
cov_dict[i] = linesExePc
if linesExePc > 0.75:
maj_cnt += 1
mean+=linesExePc
run_data.append(cov_dict.values())
print "--"*20
print "Mean: ",float(mean)/(candidates/n)
print "Candidates with more than 75% coverage: ",maj_cnt
print "median: ",data_visualization.median(cov_dict.values())
def generator(current_frontier):
global cov_dict, prev_cov_dict, run_data
mean = 0
maj_cnt = 0
prev_cov_dict = cov_dict.copy()
main_lists = [
current_frontier[i:i + n] for i in range(0, len(current_frontier), n)
]
for i, sub_list in enumerate(main_lists):
cov.erase()
cov.start()
for params in sub_list:
check_em_too(randomword(params[0]), randomword(params[1]),
randomword(params[2]), randomword(params[3]))
cov.stop()
cov.html_report()
dict = cov.analysis2('test_maincode_str.py')
totLines = dict[1]
msdLines = dict[3]
linesExe = len(totLines) - len(msdLines)
linesExePc = (float)(linesExe) / len(totLines)
cov_list.append(linesExePc)
cov_dict[i] = linesExePc
if linesExePc > 0.75:
maj_cnt += 1
mean += linesExePc
run_data.append(cov_dict.values())
print "--" * 20
print "Mean: ", float(mean) / (candidates / n)
print "Candidates with more than 75% coverage: ", maj_cnt
print "median: ", data_visualization.median(cov_dict.values())
