def execute():
sink.init(config.sink_dir)
# Construct flight list (for aircraft lookup)
planes = generators.get_via_stdin()
runs = 10
for i in xrange(1, runs + 1):
# Construct flight list once more for the sim runs
# Very little performance drawback due to caching
single_run(generators.get_via_stdin())
print 'Completed run %d of %d...' % (i, runs)
#print calibrate.vars
rows = []
for label, value in calibrate.vars.items():
# Lookup of aircraft belonging to key
plane = next((a for a in planes if a.label == label), None)
rows.append([
plane.departure_time_scheduled, label,
'%s-%s' % (plane.origin, plane.destination), plane.aircraft_type,
'%.2f' % value
])
sink.dump_rows(rows)
def execute():
sink.init(config.sink_dir)
# Construct flight list (for aircraft lookup)
planes = generators.get_via_stdin()
runs = 10
for i in xrange(1, runs + 1):
# Construct flight list once more for the sim runs
# Very little performance drawback due to caching
single_run(generators.get_via_stdin())
print 'Completed run %d of %d...' % (i, runs)
#print calibrate.vars
rows = []
for label, value in calibrate.vars.items():
# Lookup of aircraft belonging to key
plane = next((a for a in planes if a.label == label), None)
rows.append([
plane.departure_time_scheduled,
label,
'%s-%s' % (plane.origin, plane.destination),
plane.aircraft_type,
'%.2f' % value
])
sink.dump_rows(rows)
def execute():
sink.init(config.sink_dir)
reldata = []
absdata = []
runs = range(0, 25)
config.simhubs = np.arange(1, 11)
for n in config.simhubs:
fuelsavings_list = []
fuelsavings_abs_list = []
for run in runs:
config.count_hubs = n
fuel_savings, fuel_savings_abs = single_run()
fuelsavings_list.append(fuel_savings)
fuelsavings_abs_list.append(fuel_savings_abs)
reldata.append(np.array(fuelsavings_list))
absdata.append(np.array(fuelsavings_abs_list))
print '#################################'
print '############ NOTICE #############'
print 'This run has a built-in plotter.'
print '#################################'
for i in range(0, len(reldata)):
abs_mean = np.mean(absdata[i])
abs_std = np.std(absdata[i])
rel_mean = np.mean(reldata[i])
rel_std = np.std(reldata[i])
print r'%d & %.4f & %.4f & %d & %d \\' % (
i+1,
rel_mean, rel_std,
abs_mean, abs_std
)
do_plot(
absdata,
filename = 'fuel_saved_abs',
title = r'Fuel Saved [$10^6$ kg]',
ylabel = r'Fuel Saved [$10^6$ kg]',
formatter = fuel_saved_abs_formatter
)
do_plot(
reldata,
filename = 'fuel_saved_rel',
title = r'Fuel Saved [%]',
ylabel = r'Fuel Saved [%]'
)
def execute():
print 'init sink %s' % config.sink_dir
sink.init(config.sink_dir)
for hub in config.hubs:
print 'Progress: %d of %d iterations' % (
config.hubs.index(hub)+1,
len(config.hubs)
)
sim.init()
aircraft_handlers.init()
formation_handlers.init()
statistics.init()
# Construct flight list
planes = generators.get_via_stdin()
# Allocate hubs to flights
for flight in planes:
# Assign hub by injecting into route
flight.route.waypoints = [
flight.route.waypoints[0],
hub,
flight.route.waypoints[1]
]
flight.route.init_segments()
for flight in planes:
sim.events.append(sim.Event('aircraft-init', flight, 0))
sim.run()
# Prepare data matrix
d = {
'hub_lat' : hub.lat,
'hub_lon' : hub.lon,
'distance_total' : float(statistics.vars['distance_total']),
'distance_formation' : float(statistics.vars['distance_formation']),
'distance_solo' : float(statistics.vars['distance_solo']),
'formation_count' : float(statistics.vars['formation_count']),
'formation_success_rate' : float(statistics.vars['formation_success_rate']),
'alpha_eff' : float(statistics.vars['alpha_effective']),
'distance_success_rate' : float(statistics.vars['distance_success_rate']),
'avg_formation_size' : float(statistics.vars['avg_formation_size']),
'fuel_saved' : float(statistics.vars['fuel_saved']),
'distance_penalty' : float(statistics.vars['distance_penalty']),
}
sink.push(d)
debug.print_dictionary(d)
def execute():
sink.init(config.sink_dir)
reldata = []
absdata = []
runs = range(0, 25)
config.simhubs = np.arange(1, 11)
for n in config.simhubs:
fuelsavings_list = []
fuelsavings_abs_list = []
for run in runs:
config.count_hubs = n
fuel_savings, fuel_savings_abs = single_run()
fuelsavings_list.append(fuel_savings)
fuelsavings_abs_list.append(fuel_savings_abs)
reldata.append(np.array(fuelsavings_list))
absdata.append(np.array(fuelsavings_abs_list))
print '#################################'
print '############ NOTICE #############'
print 'This run has a built-in plotter.'
print '#################################'
for i in range(0, len(reldata)):
abs_mean = np.mean(absdata[i])
abs_std = np.std(absdata[i])
rel_mean = np.mean(reldata[i])
rel_std = np.std(reldata[i])
print r'%d & %.4f & %.4f & %d & %d \\' % (i + 1, rel_mean, rel_std,
abs_mean, abs_std)
do_plot(absdata,
filename='fuel_saved_abs',
title=r'Fuel Saved [$10^6$ kg]',
ylabel=r'Fuel Saved [$10^6$ kg]',
formatter=fuel_saved_abs_formatter)
do_plot(reldata,
filename='fuel_saved_rel',
title=r'Fuel Saved [%]',
ylabel=r'Fuel Saved [%]')
def execute():
print 'init sink %s' % config.sink_dir
sink.init(config.sink_dir)
for hub in config.hubs:
print 'Progress: %d of %d iterations' % (config.hubs.index(hub) + 1,
len(config.hubs))
sim.init()
aircraft_handlers.init()
formation_handlers.init()
statistics.init()
# Construct flight list
planes = generators.get_via_stdin()
# Allocate hubs to flights
for flight in planes:
# Assign hub by injecting into route
flight.route.waypoints = [
flight.route.waypoints[0], hub, flight.route.waypoints[1]
]
flight.route.init_segments()
for flight in planes:
sim.events.append(sim.Event('aircraft-init', flight, 0))
sim.run()
# Prepare data matrix
d = {
'hub_lat':
hub.lat,
'hub_lon':
hub.lon,
'distance_total':
float(statistics.vars['distance_total']),
'distance_formation':
float(statistics.vars['distance_formation']),
'distance_solo':
float(statistics.vars['distance_solo']),
'formation_count':
float(statistics.vars['formation_count']),
'formation_success_rate':
float(statistics.vars['formation_success_rate']),
'alpha_eff':
float(statistics.vars['alpha_effective']),
'distance_success_rate':
float(statistics.vars['distance_success_rate']),
'avg_formation_size':
float(statistics.vars['avg_formation_size']),
'fuel_saved':
float(statistics.vars['fuel_saved']),
'distance_penalty':
float(statistics.vars['distance_penalty']),
}
sink.push(d)
debug.print_dictionary(d)
def init():
sink.init(config.sink_dir)
