df3 = pd.DataFrame(index=tests, columns=builds)
print(f'\n\n{"#"*30} FUZZER MATCHING RESULTS {"#"*30}')
# q = df1.where(df1.test_name == tests[0])
# errorss = list(q.failure.dropna())
# str1 = errorss[0]
for test in tests:
b = df1.where(df1.test_name == test)
errors = list(b.failure.dropna())
str1 = errors[0]
ratio = []
for error in errors:
str2 = error
try:
ratio_result = smf.stringMatingRatio(str1, str2)
except:
ratio_result = np.nan
ratio.append((ratio_result))
ratio = (ratio + [0] * len(builds))[:len(builds)] #padding zeros
df2.loc[test] = ratio
print(df2)
print(f'\n\n{"#"*30} BASIC STRING MATCHING {"#"*30}')
for test in tests:
b = df1.where(df1.test_name == test)
errors = list(b.failure.dropna())
str1 = errors[0]
ratio = []
for error in errors:
import testScript as ts import string_matching_fuzzer as smf str1 = "Hi how are you" str2 = "Hi thiskefbweklvjbljchslkjbasdlkcjbwd this kjhlkjhlkhslkhjkjh" print(smf.stringMatingRatio(str1, str2)) print(smf.pstringMatingRatio(str1, str2))
