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test.py
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import csv
import getInput
import plot
testlist = [
'monobit_test',
'frequency_within_block_test',
'runs_test',
'longest_run_ones_in_a_block_test',
'binary_matrix_rank_test',
'dft_test',
'non_overlapping_template_matching_test',
'overlapping_template_matching_test',
'maurers_universal_test',
'linear_complexity_test',
'serial_test',
'approximate_entropy_test',
'cumulative_sums_test',
'random_excursion_test',
'random_excursion_variant_test'
]
# Get data set
getInput.getInput()
def main():
input = "input.txt" # input file containing bit strings
NUM_TEST = 15
# Write output to csv files
fieldnames = [None] * NUM_TEST #fieldnames associating with outputs of each test
fieldnames[0] = ['n', 'zeroes count', 'ones count', 'abs(ones-zeroes)', 'p-value', 'success']
fieldnames[1] = ['n','chi_sq','p-value', 'success']
fieldnames[2] = ['n', 'zeroes count', 'ones count', 'one_prop', 'vobs','p-value', 'success']
fieldnames[3] = ['n', 'chi_sq','p-value', 'success']
fieldnames[4] = ['n', 'M', 'Q', 'N', 'FM', "FMM", 'chi_sq', 'p-value', 'success']
fieldnames[5] = ['n', 'N0', 'N1', 'd','p-value', 'success']
fieldnames[6] = ['n', 'mu', 'sigma', 'chi_sq','p-value', 'success']
fieldnames[7] = ['n', 'template', 'M', 'N', 'K', 'model', 'v', 'lambda', 'eta', 'chi_sq','p-value', 'success']
fieldnames[8] = ['n', '#blocks', 'L', 'K', 'Q', 'sigma', 'p-value', 'success']
fieldnames[9] = ['n', 'M', 'N', 'K', 'v', 'mu', 'chi_sq', 'p-value', 'success']
fieldnames[10] = ['n', 'psi_sq_m', 'psi_sq_mm1', 'psi_sq_mm2', 'delta1', 'delta2', 'p1', 'p2', 'p_average', 'success']
fieldnames[11] = ['n', 'appen_m', 'chi_sq', 'p-value', 'success']
fieldnames[12] = ['n', 'p_forward', 'p_backward', 'success']
fieldnames[13] = ['n', 'J', 'chi_sq', 'p-value', 'p_average', 'success']
fieldnames[14] = ['n', 'J', 'count', 'p-value', 'p_average','success']
fo = [None]*NUM_TEST # list of output file
output = [None]*NUM_TEST #output file name
writer = [None]*NUM_TEST #writers of csv file
source = [None]*NUM_TEST
for i in range(NUM_TEST):
if i<9:
output[i] = "results/result_0" + str(i+1) + "_"+ testlist[i] + ".csv"
else:
output[i] = "results/result_" + str(i+1) + "_" + testlist[i] + ".csv"
if fieldnames[i] != None:
fo[i] = open(output[i], mode="w")
writer[i] = csv.DictWriter(fo[i], fieldnames=fieldnames[i])
writer[i].writeheader()
#fi = open(input, "r") # input file
result = [None]*NUM_TEST
for i in range(NUM_TEST):
total_count = 0
success_count =0
p_average = 0.0
# Get corresponding .py test file
if i<9:
testFile = __import__("0"+ str(i+1) + "_" + testlist[i])
else:
testFile = __import__(str(i+1) + "_" + testlist[i])
fi = open(input, "r") # input file
'''
Handle special cases: concatenate multiple lines into one to obtain
input with enough bit length for each test
'''
# binary_matrix_rank_test
if i == 4:
bits = ''
for line in fi:
if len(bits) < 38912*2: #recommended input size
bits += line[:-1]
else:
total_count +=1
x = testFile.test(bits, len(bits))
p_average += x[len(x)-2]
if x[len(x)-1]:
success_count +=1
writeDict = {}
for j in range(len(x)):
writeDict[fieldnames[i][j]] = x[j]
writer[i].writerow(writeDict)
bits = ''
# overlapping_template_matching_test
elif i == 7:
bits = ''
for line in fi:
if len(bits) < 1028016 *2: #recommended input size
bits += line[:-1]
else:
total_count +=1
x = testFile.test(bits, len(bits))
p_average += x[len(x)-2]
if x[len(x)-1]:
success_count +=1
writeDict = {}
for j in range(len(x)):
writeDict[fieldnames[i][j]] = x[j]
writer[i].writerow(writeDict)
bits = ''
#maurers_universal_test
elif i==8:
bits = ''
for line in fi:
if len(bits) < 387840*2: #recommended input size
bits += line[:-1]
else:
total_count +=1
x = testFile.test(bits, len(bits))
p_average += x[len(x)-2]
if x[len(x)-1]:
success_count +=1
writeDict = {}
for j in range(len(x)):
writeDict[fieldnames[i][j]] = x[j]
writer[i].writerow(writeDict)
bits = ''
#linear_complexity_test
elif i==9:
bits = ''
for line in fi:
if len(bits) < 1000000: #recommended input size
bits += line[:-1]
else:
total_count +=1
x = testFile.test(bits, len(bits))
p_average += x[len(x)-2]
if x[len(x)-1]:
success_count +=1
writeDict = {}
for j in range(len(x)):
writeDict[fieldnames[i][j]] = x[j]
writer[i].writerow(writeDict)
bits = ''
#random_excursion_test and random_excursion_variant_test
elif i==13 or i==14:
bits = ''
for line in fi:
if len(bits) < 1000000*2: #recommended input size
bits += line[:-1]
else:
total_count +=1
x = testFile.test(bits, len(bits))
p_average += x[len(x)-2]
if x[len(x)-1]:
success_count +=1
if x[1] <500:
x[len(x)-1] = str(x[len(x)-1]) + " NOT RELIABLE: J < 500"
writeDict = {}
for j in range(len(x)):
writeDict[fieldnames[i][j]] = x[j]
writer[i].writerow(writeDict)
bits = ''
else:
for line in fi:
total_count +=1
if fieldnames[i] != None:
x = testFile.test(line[:-1], len(line[:-1]))
p_average += x[len(x)-2]
if x[len(x)-1]:
success_count +=1
writeDict = {}
writeDict[fieldnames[i][0]] = len(line[:-1])
for j in range(len(x)):
writeDict[fieldnames[i][j+1]] = x[j]
writer[i].writerow(writeDict)
writeDict = {}
print(i, total_count)
writeDict[fieldnames[i][len(fieldnames[i])-1]] = float(success_count)/total_count
writeDict[fieldnames[i][len(fieldnames[i])-2]] = p_average/total_count
writer[i].writerow(writeDict)
print("p_average = " + str(p_average/total_count))
print("passed percentage = " + str(float(success_count)/total_count))
print("Test "+ str(i+1) + ": " + testlist[i] + " finished!")
for i in range(13):
print output[i]
print i
plot.plot(output[i],i)
print output[4]
print 4
plot.plot(output[4],4)
if __name__ == "__main__":
main()