flag = False
break
else:
flag = False
break
end = time.time()
if (flag):
print("acasxu property ", specnumber, "Verified")
else:
print("acasxu property ", specnumber, "Failed")
print(end - start, "seconds")
elif zonotope_bool:
perturbed_label, nn, nlb, nub = eran.analyze_zonotope(
zonotope, domain, args.timeout_lp, args.timeout_milp,
args.use_area_heuristic)
print("nlb ", nlb[len(nlb) - 1])
#print("nub ",nub)
if (perturbed_label != -1):
print("Verified")
#elif(complete==True):
# verified_flag,adv_image = verify_network_with_milp_zonotope(nn, zonotope, label, nlb, nub)
# if(verified_flag==True):
# print("Verified")
# else:
# print("Failed")
else:
print("Failed")
else:
for i, test in enumerate(tests):
flag = False
break
if config.debug:
print('split', i, j, k, l, m)
end = time.time()
#print(complete_list)
if (flag):
print("acasxu property ", config.specnumber, "Verified")
else:
print("acasxu property ", config.specnumber, "Failed")
print(end - start, "seconds")
elif zonotope_bool:
perturbed_label, nn, nlb, nub = eran.analyze_zonotope(
zonotope, domain, config.timeout_lp, config.timeout_milp,
config.use_default_heuristic)
print("nlb ", nlb[-1])
print("nub ", nub[-1])
if (perturbed_label != -1):
print("Verified")
elif (complete == True):
constraints = get_constraints_for_dominant_label(perturbed_label, 10)
verified_flag, adv_image = verify_network_with_milp(
nn, zonotope, [], nlb, nub, constraints)
if (verified_flag == True):
print("Verified")
else:
print("Failed")
else:
print("Failed")
specLB = np.copy(image)
specUB = np.copy(image)
if(is_trained_with_pytorch):
normalize(specLB, means, stds)
normalize(specUB, means, stds)
if domain=='refinezono':
init_domain = 'deepzono'
elif domain=='refinepoly':
init_domain = 'deeppoly'
else:
init_domain = domain
if zonotope_bool:
label,nn,nlb,nub = eran.analyze_zonotope(specLB, np.zeros_like(zonotope), init_domain, args.timeout_lp, args.timeout_milp, args.use_area_heuristic)
else:
label,nn,nlb,nub = eran.analyze_box(specLB, specUB, init_domain, args.timeout_lp, args.timeout_milp, args.use_area_heuristic)
#for number in range(len(nub)):
# for element in range(len(nub[number])):
# if(nub[number][element]<=0):
# print('False')
# else:
# print('True')
#print("concrete ", nlb[len(nlb)-1])
#if(label == int(test[0])):
if(label == int(test[0])):
perturbed_label = None
if zonotope_bool:
perturbed_label, _, nlb, nub = eran.analyze_zonotope(specLB, zonotope, domain, args.timeout_lp, args.timeout_milp, args.use_area_heuristic)