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run_examples.py
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import time
import tamus
from uppaalHelpers import path_analysis
import argparse
from subprocess32 import Popen, PIPE, TimeoutExpired
from uppaalHelpers import xml_to_imi
import os
import signal
if __name__ == '__main__':
parser = argparse.ArgumentParser(
"TAMUS - a tool for relaxing reachability properties in Time Automatas based on Minimal Sufficinet Reductions (MRS) and linear programming.")
parser.add_argument("--task", choices=["msr", "mmsr", "mg", "mmg", "amsr", "amg", "amsramg"],
help="Choose the computation taks: msr - an MSR, mmsr - a minimum MSR, mg - an MG, mmg - a minimum MG, amsr - all MSRs, amg - all MGs, amsramg - all MSRs and MGs.",
default="mmsr")
parser.add_argument("--run_imitator_on_mg", action='store_true',
help="After fnding minimal guarantee, runs imitator on it. This value does not have effect if any task other than mmg is selected.")
args = parser.parse_args()
fis = [("examples/paper_benchmarks/literature_benchmarks/accel/accel_1000-uppaal_fixed_mutated.xml",
"examples/paper_benchmarks/literature_benchmarks/accel/accel_1000-uppaal.q", "pta"),
("examples/paper_benchmarks/literature_benchmarks/rcp/RCP-uppaal_fixed_mutated.xml",
"examples/paper_benchmarks/literature_benchmarks/rcp/RCP-uppaal.q", "All"),
("examples/paper_benchmarks/literature_benchmarks/jlr/JLR13-3tasks-npfp-100-2-uppaal_fixed.xml",
"examples/paper_benchmarks/literature_benchmarks/jlr/JLR13-3tasks-npfp-100-2-uppaal.q", "sched"),
("examples/paper_benchmarks/literature_benchmarks/CAS/CAS_mutated.xml",
"examples/paper_benchmarks/literature_benchmarks/CAS/cas.q", "System"),
("examples/paper_benchmarks/literature_benchmarks/coffee/coffee-uppaal_mutated.xml",
"examples/paper_benchmarks/literature_benchmarks/coffee/coffee-uppaal.q", "All"),
("examples/paper_benchmarks/literature_benchmarks/jobshop/maler_4_4-uppaal_fixed_mutated.xml",
"examples/paper_benchmarks/literature_benchmarks/jobshop/maler_4_4-uppaal.q", "All"),
("examples/paper_benchmarks/literature_benchmarks/pipeline/Pipeline-KP12-3-3-uppaal_fixed_mutated.xml",
"examples/paper_benchmarks/literature_benchmarks/pipeline/Pipeline-KP12-3-3-uppaal.q", "All"),
("examples/paper_benchmarks/literature_benchmarks/simop/simop3-uppaal_fixed_mutated.xml",
"examples/paper_benchmarks/literature_benchmarks/simop/simop3-uppaal.q", "All"),
("examples/paper_benchmarks/literature_benchmarks/fischer/fischerHRSV02-2-uppaal_fixed.xml",
"examples/paper_benchmarks/literature_benchmarks/fischer/fischerHRSV02.q", "All"),
("examples/paper_benchmarks/literature_benchmarks/wfas/WFAS-BBLS15-uppaal_fixed.xml",
"examples/paper_benchmarks/literature_benchmarks/wfas/WFAS-BBLS15-uppaal.q", "controller")]
if args.task == "mmsr":
f = open("examples/paper_benchmarks/literature_benchmarks_msr_results.txt", "w")
for fi in fis:
print fi[0]
f.write("Model: ")
f.write(fi[0] + "\n")
f.write("Query: ")
f.write(fi[1] + "\n")
f.write("TA: ")
f.write(fi[2] + "\n")
args = argparse.Namespace()
args.run_imitator_on_mg = False
t = tamus.Tamus(fi[0], fi[1], fi[2], args)
t.timelimit = 1000000
t.verbosity = 0
f.write("is the target location reachable?" + str(t.is_sufficient([])[0]) + "\n")
start_time = time.clock()
try:
t.run()
except:
f.write("excexption" + "\n")
f.write("MSR computation time: " + str(time.clock()-start_time) + "\n")
f.write("Constraint count: " + str(len(t.TA.constraint_registry)) + "\n")
f.write('Number of checks ' + str(t.stats['checks']) + "\n")
start_time = time.clock()
msres, constraints, traces = t.get_MSRes()
msres_size = [len(m) for m in msres]
min_size = min(msres_size)
min_msres_indexes = [i for i in range(len(msres_size)) if msres_size[i] == min_size]
# MILP analysis for one of them.
ind = min_msres_indexes[0]
delays, parameters = path_analysis.find_parameters(t.TA, traces[ind], msres[ind])
milp_time = time.clock() - start_time
sum_param = sum(parameters)
if not ("coffee" in fi[0] or "CAS" in fi[0]):
milp_time = "-"
sum_param = "-"
f.write("MILP computation time: " + str(milp_time) + "\n")
f.write("Optimal MILP cost: " + str(sum_param) + "\n")
f.write("Min MSR size: " + str(min_size) + "\n")
print("")
f.write("\n")
else:
f = open("examples/paper_benchmarks/literature_benchmarks_mg_results.txt", "w")
for fi in fis:
print fi[0]
f.write("Model: ")
f.write(fi[0] + "\n")
f.write("Query: ")
f.write(fi[1] + "\n")
f.write("TA: ")
f.write(fi[2] + "\n")
t = tamus.Tamus(fi[0], fi[1], fi[2], args)
t.task = "mmg"
t.timelimit = 1000000
t.verbosity = 0
f.write("is the target location reachable?" + str(t.is_sufficient([])[0]) + "\n")
start_time = time.clock()
try:
t.minimumMG(allMGs=False)
except:
f.write("excexption" + "\n")
f.write("MG computation time: " + str(time.clock() - start_time) + "\n")
f.write("Constraint count: " + str(len(t.TA.constraint_registry)) + "\n")
f.write('Number of checks ' + str(t.stats['checks']) + "\n")
mgs, constraints = t.get_MGs()
# Minimal mgs:
mgs_size = [len(m) for m in mgs]
min_size = min(mgs_size)
min_mgs_indexes = [i for i in range(len(mgs_size)) if mgs_size[i] == min_size]
mg = mgs[min_mgs_indexes[0]]
f.write("Min MG size: " + str(len(mg)) + "\n")
relax_list = [c for c in t.clist]
if args.run_imitator_on_mg:
for c in mg: # create the list that will be removed from the model
relax_list.remove(c)
new_templates, parameter_count = t.TA.generate_relaxed_and_parametrized_templates(relax_list, mg)
declaraion_of_the_system = t.model.declaration
process_template_pair_of_the_system = t.model.system
# print set(constraints[0])
imi_name, imiporp_name = xml_to_imi.create_imitator_on_mg(new_templates,
declaraion_of_the_system,
process_template_pair_of_the_system,
t.model_file,
t.query_file, # 1)
parameter_count)
output_file = imi_name.split(".imi")[0]
command = "imitator " + imi_name + " " + imiporp_name + " -output-prefix " + output_file + " -verbose mute"
f.write("running " + command + "\n")
start_time = time.clock()
with Popen(command, shell=True, stdout=PIPE, preexec_fn=os.setsid) as process:
try:
output = process.communicate(timeout=30)[0]
parameter_vals, total_sum, total_time = xml_to_imi.find_maximum_parameter_values(
output_file + ".res", parameter_count)
f.write("Total sum for maximum parameter valuations: "+str(total_sum)+"\n")
f.write("Imitator Time: " + total_time + "\n")
except TimeoutExpired:
os.killpg(process.pid, signal.SIGINT) # send signal to the process group
output = process.communicate()[0]
f.write("Timeout at 20 minutes\n")
f.write("\n")