File: bank17.py

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python-simpy 2.3.1%2Bdfsg-5
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"""bank17: Plotting a Histogram of Monitor results"""
from SimPy.Simulation  import *
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))
            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 = now()
        #print("%8.4f %s: Arrived     " % (now(), self.name))

        yield request, self, counter
        #print("%8.4f %s: Got counter " % (now(), self.name))
        tib = expovariate(1.0 / timeInBank)
        yield hold, self, tib
        yield release, self, counter

        #print("%8.4f %s: Finished    " % (now(), self.name))
        t = now() - arrive
        Mon.observe(t)


## Experiment data -------------------------

maxTime = 400.0   # minutes
counter = Resource(1, name="Clerk")
Mon = Monitor('Time in the Bank')
N = 0

## Model  ----------------------------------


def model(SEED=393939):
    seed(SEED)

    initialize()
    source = Source()
    activate(source,
             source.generate(number=20, rate=0.1), at=0.0)
    simulate(until=maxTime)


## Experiment  ----------------------------------

model()
Histo = 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()