def model():
'''
The main method, where all simulations begin.
TODO: Use config switch 'useGUI' to decide whether to use
SimPlot/plotHistogram, or just printHistogram. There is no
reason to leave that important data out, even though I don't
always want to incur the cost/hassle of producing a GUI.
[Note: The plot code is in method oooh_shiny(). The name of
the method is a strong hint that it's intended to be developed
further.]
'''
initialize()
random.seed(SEED)
# # Create Fares prior to starting the simulation. Now a TK.
# for j in range(1,NUM_FARES):
# # TODO Put this in place later. grep for "Fare Fare" to see what it's
# # doing. It may in fact point to other problems with my strategy.
# #f=Fare(name='Fare-' + `j`)
## fname = 'Fare-%s' % j
## f=Fare(fname)
# f=Fare(name="Fare-"+str(j))
# activate(f, f.run())
# Team 1 - Yellow Cab
for i in range(NUM_TAXIS):
tx = Taxi('Taxi-%s' % i, NP)
if SIMTYPE == 'cooperate':
activate(tx, tx.cooperate())
elif SIMTYPE == 'compete':
activate(tx, tx.compete())
else:
print("Error: can't set the simulation type")
import sys; sys.exit()
#
# Team 2 - Checker Cab
#for i in range(4):
# tx=Taxi('Checker-%s' % i)
# tx=Taxi('Checker-%s' % i, 'closestfare')
# tx=Taxi('Checker-%s' % i, 'mixedmode')
# activate(tx, tx.cooperate())
# activate(tx, tx.compete())
ff = FareFactory()
activate(ff, ff.generate())
# fare = ff.generate()
# activate(ff, fare)
# activate(ff, ff.generate(), datacollector=)
simulate(until=SIMTIME)
print('waitingFares', [x.name for x in Agent.waitingFares.theBuffer])
def model_compete_closestfare():
initialize()
random.seed(333777)
NP = 'closestfare'
for j in range(1, 5):
f = Fare(name="-" + str(j))
activate(f, f.run())
for i in range(5):
tx = Taxi('Yellow-%s' % i, NP)
activate(tx, tx.compete())
ff = FareFactory()
activate(ff, ff.generate())
simulate(until=SIMTIME)
print('waitingFares', [x.name for x in Agent.waitingFares.theBuffer])