def exp_5_profile():
"""
"""
scales = lab.linspace(0.0, 0.1, 10)
route_tts = defaultdict(lambda: list())
for scale in scales:
net = MinTTTFlowLinkComplacencyProblem.load('../networks/exps/exp5/net_nash.json')
net.scale = scale
net.get_program().cr_solve()
net.realize()
for route in net.all_routes():
route_tts[tuple(route.name())].append(net.route_travel_time(route))
latex_figure()
# lab.xscale("log")
lab.hold(True)
for route, values in route_tts.iteritems():
lab.plot(scales, values,next(line_cycler), label='rte {0}'.format(route[1]), linewidth=3.0)
route_tts = defaultdict(lambda: list())
for scale in scales:
net = MinTTTFlowLinkComparativeComplacencyProblem.load('../networks/exps/exp5/net_nash.json')
net.scale = scale
net.get_program().cr_print()
net.get_program().cr_solve()
net.realize()
for route in net.all_routes():
route_tts[tuple(route.name())].append(net.route_travel_time(route))
for route, values in route_tts.iteritems():
lab.plot(scales, values,next(line_cycler), label='rte {0}: comp.'.format(route[1]))
lab.ylabel('Route latency $\\ell_r$ (s)')
lab.xlabel('Complacency scale factor $\\alpha$ (-)')
lab.title('Comparison of route latencies')
lab.legend(loc=7)
lab.savefig('figures/complacency_models_simple_network.pdf')
def exp_5_test():
net = MinTTTFlowLinkProblem.load('../networks/exps/exp5/net_nash.json')
print net.total_travel_time()
for route in net.all_routes():
print route
print net.route_travel_time(route)
net.get_program().cr_solve()
net.realize()
print net.total_travel_time()
for route in net.all_routes():
print route
print net.route_travel_time(route)
net = MinTTTFlowLinkComplacencyProblem.load('../networks/exps/exp5/net_nash.json')
net.scale = 1.01
net.get_program().cr_solve()
net.realize()
print net.total_travel_time()
for route in net.all_routes():
print route
print net.route_travel_time(route)
