def do((paras, G,i)):
rlts={}
sim=Simulation(paras, G=G.copy(), verbose=False)
sim.make_simu(storymode=False)
sim.queue=post_process_queue(sim.queue)
rlts = compare_networks(sim, stat_distance = stat_distance)
del sim
return rlts
def do_shocks((paras, G)):
"""
Make the simulation and extract aggregate values, keeping separate the results
for flights which have not been cancelled.
Parameters
----------
paras : dictionary
containing the parameters for the simulations.
G : hybrid network
Returns
-------
results : dictionary
gathers results from extract_aggregate_values_on_queue and
extract_aggregate_values_on_network.
Notes
-----
Changed in 2.9.1: changed signature, removed integer i.
"""
results ={}
sim = Simulation(paras, G=G.copy(), verbose=False)
sim.make_simu(storymode=False)
sim.queue = post_process_queue(sim.queue)
G = sim.G
results_queue = extract_aggregate_values_on_queue(sim.queue, paras['par'])
queue_res = [f for f in sim.queue if G.G_nav.has_node(f.source) and G.G_nav.has_node(f.destination) and G.G_nav.node[f.source]['sec']!=paras['STS'] and G.G_nav.node[f.destination]['sec']!=paras['STS']]
results_queue_res = extract_aggregate_values_on_queue(queue_res, paras['par'])
results_G = extract_aggregate_values_on_network(sim.G)
for met in results_G:
results[met]=results_G[met]
for met in results_queue_res:
results_queue[met + '_res'] = results_queue_res[met]
for met in results_queue:
results[met]={tuple(p):[] for p in paras['par']}
for p in paras['par']:
results[met][tuple(p)]=results_queue[met][tuple(p)]
del sim
return results