def write_sim_tsc_metrics(self):
#get data dict of all tsc in sim
#where each tsc has dict of all metrics
tsc_metrics = self.sim.get_tsc_metrics()
#create file name and path for writing metrics data
#now = datetime.datetime.now()
#fname = str(self.idx)+'_'+str(now).replace(" ","-")
fname = get_time_now()
#write all metrics to correct path
#path = 'metrics/'+str(self.args.tsc)
path = 'metrics/'+str(self.args.tsc)
for tsc in tsc_metrics:
for m in tsc_metrics[tsc]:
mpath = path + '/'+str(m)+'/'+str(tsc)+'/'
check_and_make_dir(mpath)
save_data(mpath+fname+'_'+str(self.eps)+'_.p', tsc_metrics[tsc][m])
travel_times = self.sim.get_travel_times()
path += '/traveltime/'
check_and_make_dir(path)
save_data(path+fname+'.p', travel_times)
def save_weights(self, nettype, path, fname):
check_and_make_dir(path)
weights = self.get_weights('online')
save_data(path + fname + '.p', weights)
def save_replays(self):
check_and_make_dir(self.replay_fp)
for _id in self.agent_ids:
save_data(self.replay_fp+_id+'.p', [ _ for _ in self.exp_replay[_id]])
print('FINISHED SAVING REPLAY FOR '+str(_id))
def save_hp_performance(data, path, hp_str):
check_and_make_dir(path)
#name the return the unique hp string
save_data(path+hp_str+'.p', data)