def export_petri_to_spec(petri_net: PetriNet, filename, write_initial_marking=False):
file = open(filename, "a")
place_names = []
for p in petri_net.get_places():
place_names.append("x" + str(p))
file.write("vars\n\t")
for place in place_names:
file.write(place + " ")
file.write("\n\nrules\n")
for tran in petri_net.get_transitions():
pre = tran.get_pre()
first = True
for p in petri_net.get_places():
if pre[p] > 0:
if first:
file.write("\t")
else:
file.write(" , ")
file.write(place_names[p] + " >= " + str(int(pre[p])))
first = False
file.write(" ->\n")
first = True
incidence = tran.get_incidence()
for p in petri_net.get_places():
if incidence[p] != 0:
if not first:
file.write(",\n")
if incidence[p] > 0:
file.write("\t\t" + place_names[p] + "' = " + place_names[p] + "+" + str(int(incidence[p])))
else:
file.write("\t\t" + place_names[p] + "' = " + place_names[p] + "-" + str(int(incidence[p]) * (-1)))
first = False
file.write(";\n\n")
if not write_initial_marking:
file.close()
return
file.write("init\n\t")
first = True
init_mark = (petri_net.get_mark())
for p in petri_net.get_places():
if not first:
file.write(" , ")
if init_mark[p] == float("inf"):
file.write(place_names[p] + " >= 1")
else:
file.write(place_names[p] + " = " + str(int(init_mark[p])))
first = False
file.close()
def run_benchmark(name,
petri: petri_net.PetriNet,
time_out,
init_marking=None,
with_acc=True):
benchmark = Benchmark(name)
print("starting %s" % name + " numb of trans: " +
str(len(petri.get_transitions())) + " num of places: " +
str(petri.get_dim()))
start_time = time.time()
if init_marking is None:
cov = CovTree(petri, petri.get_mark())
else:
cov = CovTree(petri, init_marking)
cov.keep_accelerations = with_acc
cov.type_of_graph_traversal = "DFS"
cov.use_z3_to_guess_accelerations = False
cov.check_for_correctness = False
cov.verbose = True
cov.timeout = time_out
benchmark.clover = cov.generate_cov_tree()
benchmark.timeout = benchmark.clover is None
elapsed_time = time.time() - start_time
benchmark.max_vertices = cov.max_size
benchmark.max_accelerations = cov.max_size_of_acc
benchmark.final_accelerations = len(cov._accelerations)
benchmark.final_vertices = len(cov._verSet)
benchmark.used_accelerations = cov.use_of_acc
benchmark.time = elapsed_time
benchmark.places = len(petri.get_places())
benchmark.transitions = len(petri.get_transitions())
benchmark.num_of_comparisons = cov.num_of_comparisons
benchmark.num_of_recheck = cov.num_of_rechecks
return benchmark, cov