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"""bank17_OO: Plotting a Histogram of Monitor results"""
from SimPy.Simulation import Simulation, Process, Resource, Monitor, hold, request, release
from SimPy.SimPlot import *
from random import expovariate, seed
## Model components ------------------------
class Source(Process):
""" Source generates customers randomly"""
def generate(self, number, rate):
for i in range(number):
c = Customer(name="Customer%02d" % (i), sim=self.sim)
self.sim.activate(c, c.visit(timeInBank=12.0))
yield hold, self, expovariate(rate)
class Customer(Process):
""" Customer arrives, is served and leaves """
def visit(self, timeInBank):
arrive = self.sim.now()
#print("%8.4f %s: Arrived "%(now(), self.name))
yield request, self, self.sim.counter
#print("%8.4f %s: Got counter "%(now(), self.name))
tib = expovariate(1.0 / timeInBank)
yield hold, self, tib
yield release, self, self.sim.counter
#print("%8.4f %s: Finished " % (now(), self.name))
t = self.sim.now() - arrive
self.sim.Mon.observe(t)
## Model ----------------------------------
class BankModel(Simulation):
def run(self, aseed):
""" PEM """
seed(aseed)
self.counter = Resource(1, name="Clerk", sim=self)
self.Mon = Monitor('Time in the Bank', sim=self)
source = Source(sim=self)
self.activate(source,
source.generate(number=20, rate=0.1), at=0.0)
self.simulate(until=maxTime)
## Experiment data -------------------------
maxTime = 400.0 # minutes
N = 0
seedVal = 393939
## Experiment -----------------------------
modl = BankModel()
modl.run(aseed=seedVal)
## Output ----------------------------------
Histo = modl.Mon.histogram(low=0.0, high=200.0, nbins=20)
plt = SimPlot()
plt.plotHistogram(Histo, xlab='Time (min)',
title="Time in the Bank",
color="red", width=2)
plt.mainloop()
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