def step(): # what happens in each cycle. Main calls happen here.
global count_steps
count_steps += 1
print "count_steps "+str(count_steps)
nodes = environment.step()
wakeup_nodes(nodes) # calls their behaviour, which calls the policy (what to do), and finally applies actions
print "killed edges: "+str(stats.collector.num_kills)
stats.snapshot()
print "total graph weight:"+str(stats.collector.total_weight)
stats.new_collector()
def iteration(): # what happens in each cycle. Main calls happen here.
print "iteration!"
global count_iterations
print "count_iterations "+str(count_iterations)
nodes = environment.step()
wakeup_nodes(nodes) # calls their behaviour, which calls the policy (what to do), and finally applies actions
print "killed edges: "+str(stats.collector.num_kills)
stats.snapshot()
print "total graph weight:"+str(stats.collector.total_weight)
print "average path length, see note1:"+ str(stats.collector.path_length)
print "mean edge importance:"+str(stats.collector.mean_edges_importance)
print "std edge importance:"+str(stats.collector.std_edges_importance)
count_iterations +=1
stats.new_collector()
