print(res.n_places)
print(len(res.transitions))
res.remove_dead_trans_lola()
print(res.n_places)
print(len(res.transitions))
res.remove_init_state()
##res.random_run(sleep_time=1)
pn_list=[deepcopy(res) for i in range(0,n_robots)]
for i in range(0,n_robots):
pn_list[i].add_index(i)
prod=pn_list[0]
for i in range(1,n_robots):
prod=symb_pn_compositions.parallel_composition(prod, pn_list[i])
#print(prod)
prod.add_init_state()
##print(ltl_dfa)
##prod.random_run()
formulas_list=[None for i in range(1 + n_robots)]
for j in range(0, n_robots):
formula='[] ((battery_high' + str(j) + ' && ('
for i in range(0,n_robots):
formula+='going_to_reception_area' + str(i) + ' || at_reception_area' + str(i) + ' || '
input_weights=[1],
output_ids=[1],
output_weights=[1],
event='e3')
t22=EventTransition(input_ids=[1],
input_weights=[1],
output_ids=[0],
output_weights=[1],
event='e2')
t23=EventTransition(input_ids=[1],
input_weights=[2],
output_ids=[1],
output_weights=[2],
event='e4')
transitions2=[t21,t22, t23]
pn2=SymbPetriNet(initial_marking=initial_marking2,
events=events2,
uc_events=uc_events2,
transitions=transitions2,
state_description_props=state_description_props2,
true_state_places=true_state_places2,
false_state_places=false_state_places2)
prod=symb_pn_compositions.parallel_composition(pn1,pn2)
prod.remove_dead_trans_lola()
#print(prod)
#prod.print_lola()
#prod.random_run()
