def main():
t1 = time.time()
wc_smt_files = get_smt2_files()
wc_path_conditions = read_wc_path_constraints(wc_smt_files)
# for c in wc_path_conditions[4]:
# print c
# build model
path_analyzer = pa.PathAnalyzer(wc_path_conditions)
path_analyzer.buildModel()
t2 = time.time()
large_scale = int(sys.argv[1])
[pc, sym_store, arrays] = path_analyzer.genScaleTest(large_scale)
pc = pc + genInitialConstraints(sym_store, arrays)
# for c in pc:
# print c
# writeSolutionToFile(sol, large_scale)
input_N = path_analyzer.solve(pc)
writeSolutionToFile(input_N, large_scale)
t3 = time.time()
print "Model build time = ", t2 - t1
print "Prediction time = ", t3 - t2
for j in range(0, scale):
val = int(lines[line_count])
wc_input[i].append(val)
line_count += 1
wc_inputs.append(wc_input)
# run program for these inputs
for wc_input in wc_inputs:
result = dijkstra(wc_input, 0, len(wc_input))
wc_expressions.append(result[1])
path_analyzer = pa.PathAnalyzer(wc_expressions)
path_analyzer.buildModel()
t2 = time.time()
# prediction
N = int(sys.argv[1])
[pc_N, sym_store_N, arrays] = path_analyzer.genScaleTest(N)
# add initial conditions
pc_N = pc_N + getInitConditions(sym_store_N, N+2)
input_N = path_analyzer.solve(pc_N)
writeSolutionToFile(input_N, N)
t3 = time.time()
print "Model build time = ", t2-t1