def param_worker(work_queue,done_queue,network,trip_data,master_config,trip_times,ext_bound,trip_ids):
this_network=network.copy()
#initialize link randomizer
link_randomizer=None
if master_config.choice_set_config['method']=='doubly_stochastic':
link_randomizer=master_config.choice_set_config.get_link_randomizer(network,master_config)
for kappa, sigma in iter(work_queue.get,'STOP'):
link_randomizer.set_scl(kappa)
link_randomizer.set_par(link_randomizer['zero']['par'],[1-sigma,1+sigma])
link_randomizer.update_denoms()
random.seed(0)
idx=0
overlap_sum=0
for trip_id in trip_ids:
idx=idx+1
print time.asctime(time.localtime()), "-", current_process().name, "-",idx, ", k: ", kappa, ", s: ", sigma ,". trip_id: ", trip_id[0], ", sub_trip: ", trip_id[1], ", stage: ", trip_id[2]
the_set,chosen_overlap=generate_choice_set(this_network,trip_data[trip_id],master_config.choice_set_config,link_randomizer,master_config['time_dependent_relation'],trip_times[trip_id[0]],ext_bound)
overlap_sum=overlap_sum+chosen_overlap
done_queue.put((kappa,sigma,overlap_sum/idx))
done_queue.put('STOP')
return True
def choice_set_worker(work_queue,done_queue,network,trip_data,master_config,trip_times,ext_bound):
this_network=network
#initialize link randomizer
link_randomizer=None
if master_config.choice_set_config['method']=='doubly_stochastic' and not master_config.choice_set_config['randomize_after']:
link_randomizer=master_config.choice_set_config.get_link_randomizer(this_network,master_config)
if '1' in current_process().name:
for var in link_randomizer['variables']:
print var," zero p: ",link_randomizer['zero']['probs'][var]
print var," posi m: ",link_randomizer['pos']['means'][var]
if master_config.choice_set_config['method']=='doubly_stochastic' and master_config.choice_set_config['randomize_after']:
link_randomizer=master_config.choice_set_config['randomize_after_dev']
idx=0
for trip_id in iter(work_queue.get,'STOP'):
idx=idx+1
print time.asctime(time.localtime()), "-", current_process().name, "-",idx, ". trip_id: ", trip_id[0], ", sub_trip: ", trip_id[1], ", stage: ", trip_id[2]
the_set,chosen_overlap=generate_choice_set(this_network,trip_data[trip_id],master_config.choice_set_config,link_randomizer,master_config['time_dependent_relation'],trip_times[trip_id[0]],ext_bound)
done_queue.put((trip_id[0],the_set,chosen_overlap))
done_queue.put('STOP')
return True
def choice_set_worker(work_queue, done_queue, network, trip_data,
master_config, trip_times, ext_bound):
this_network = network
#initialize link randomizer
link_randomizer = None
if master_config.choice_set_config[
'method'] == 'doubly_stochastic' and not master_config.choice_set_config[
'randomize_after']:
link_randomizer = master_config.choice_set_config.get_link_randomizer(
this_network, master_config)
if '1' in current_process().name:
for var in link_randomizer['variables']:
print var, " zero p: ", link_randomizer['zero']['probs'][var]
print var, " posi m: ", link_randomizer['pos']['means'][var]
if master_config.choice_set_config[
'method'] == 'doubly_stochastic' and master_config.choice_set_config[
'randomize_after']:
link_randomizer = master_config.choice_set_config[
'randomize_after_dev']
idx = 0
for trip_id in iter(work_queue.get, 'STOP'):
idx = idx + 1
print time.asctime(time.localtime()), "-", current_process(
).name, "-", idx, ". trip_id: ", trip_id[0], ", sub_trip: ", trip_id[
1], ", stage: ", trip_id[2]
the_set, chosen_overlap = generate_choice_set(
this_network, trip_data[trip_id], master_config.choice_set_config,
link_randomizer, master_config['time_dependent_relation'],
trip_times[trip_id[0]], ext_bound)
done_queue.put((trip_id[0], the_set, chosen_overlap))
done_queue.put('STOP')
return True
def param_worker(work_queue, done_queue, network, trip_data, master_config,
trip_times, ext_bound, trip_ids):
this_network = network.copy()
#initialize link randomizer
link_randomizer = None
if master_config.choice_set_config['method'] == 'doubly_stochastic':
link_randomizer = master_config.choice_set_config.get_link_randomizer(
network, master_config)
for kappa, sigma in iter(work_queue.get, 'STOP'):
link_randomizer.set_scl(kappa)
link_randomizer.set_par(link_randomizer['zero']['par'],
[1 - sigma, 1 + sigma])
link_randomizer.update_denoms()
random.seed(0)
idx = 0
overlap_sum = 0
for trip_id in trip_ids:
idx = idx + 1
print time.asctime(time.localtime()), "-", current_process(
).name, "-", idx, ", k: ", kappa, ", s: ", sigma, ". trip_id: ", trip_id[
0], ", sub_trip: ", trip_id[1], ", stage: ", trip_id[2]
the_set, chosen_overlap = generate_choice_set(
this_network, trip_data[trip_id],
master_config.choice_set_config, link_randomizer,
master_config['time_dependent_relation'],
trip_times[trip_id[0]], ext_bound)
overlap_sum = overlap_sum + chosen_overlap
done_queue.put((kappa, sigma, overlap_sum / idx))
done_queue.put('STOP')
return True
