def test():
scenario = [log(1.2), log(10), log(0.01), log(1)]
global master_transit_dict
global master_dict
master_dict = {}
master_transit_dict = {}
master_dict['1'] = {'new_id': 1, 'ext_lnSa': 0.8}
master_dict['12'] = {'new_id': 2, 'ext_lnSa': 0.8}
master_dict['13'] = {'new_id': 3, 'ext_lnSa': 0.8}
master_transit_dict['13'] = {'new_id': 4, 'beta': 1, 'ext_lnSa': 1.6}
for thing in range(50):
br_int, br, num = damage_bridges(scenario)
print 'bridges out in terms of new ids: ', br
assert len(br) >= 1, 'at least one bridge should fail'
assert len(br) <= 3, 'no more than 3 bridges fail'
print 'now let us try to test if we change the capacity, it fails'
master_dict['13']['ext_lnSa'] = 0.001
br_int, br, num = damage_bridges(scenario)
assert 3 in br, 'now that bridge new id 3 has almost no structural demand capacity, it should fail'
G = nx.read_gpickle("input/graphMTC_CentroidsLength6int.gpickle")
num_nodes = len(G.nodes())
G = add_superdistrict_centroids(G)
assert len(G.nodes()) == 34 + 2 + num_nodes, 'nodes should have changed'
print compute_flow(G)
def compute_performance(scenario, G, index, demand, no_damage_travel_time, no_damage_vmt):
import time
import pickle
import pdb
import networkx
import util
from travel_main_simple_simplev3 import damage_bridges
from travel_main_simple_simplev3 import measure_performance
from travel_main_simple_simplev3 import damage_network
from travel_main_simple_simplev3 import get_graph
start_time = time.time()
if G == None:
G = get_graph()
#figure out bridge damage for each scenario
damaged_bridges_internal, damaged_bridges_new, num_damaged_bridges = damage_bridges(scenario) #e.g., [1, 89, 598] #num_bridges_out is highway bridges only
# #figure out network damage and output Cube files to this effect
G = damage_network(damaged_bridges_internal, damaged_bridges_new, G, time.strftime("%Y%m%d")+'_filesForCube/', index)
# #figure out impact (performance metrics)
flow, shortest_paths, travel_time, vmt = measure_performance(G, num_damaged_bridges, demand, no_damage_travel_time, no_damage_vmt)
G = util.clean_up_graph(G)
print 'total scenario time: ', time.time() - start_time
return damaged_bridges_internal, damaged_bridges_new, num_damaged_bridges, flow, shortest_paths, travel_time, vmt
