def main(self):
c = Create(15)
c.setDistribution('exp')
c.setName('creator')
p0 = Doctor(0, 0, 2)
p0.setName('doctors')
p0.setDistribution('exp')
p1 = Process(3, 8, 3)
p1.setName('chambers')
p1.setDistribution('unif')
#p1.setDistribution('exp')
p2 = Process(3, 4.5, 1)
p2.setName('registration')
#p2.set_distribution('erlang')
p2.setDistribution('exp')
#p2.maxQueue = 2
p3 = Labs(2, 4, 2)
p3.setName('lab')
p3.setDistribution('exp')
#p3.set_distribution('erlang')
#p0.chambers = p1
#p0.registration = p2
c.nextElement = p0
p0.setNextElements([p1, p2])
p2.setNextElements([p3])
p3.setNextElements([p0])
elementsList = [c, p0, p1, p2, p3]
model = Model(elementsList)
model.simulate(10000.0)
def main(self):
c = Create(.5)
p1 = Process(1.0, 2)
p21 = Process(4.0, 1)
p22 = Process(3.0, 2)
p3 = Process(1.2, 1)
print('id0 = {} id1= {} '.format(c.getId(), p1.getId()))
c.setNextElement(p1)
p1.setMaxqueue(5)
p21.setMaxqueue(3)
p22.setMaxqueue(2)
p3.setMaxqueue(2)
c.setName('CREATOR')
p1.setName('PROCESSOR1')
p21.setName('PROCESSOR21')
p22.setName('PROCESSOR22')
p3.setName('PROCESSOR3')
c.setDistribution('exp')
p1.setDistribution('exp')
p21.setDistribution('exp')
p22.setDistribution('exp')
p3.setDistribution('exp')
p1.setNextElements([p21, p22])
p21.setNextElements([p3])
p22.setNextElements([p3])
elementsList = [c, p1, p21, p22, p3]
model = Model(elementsList)
model.simulate(1000.0)
def main(self):
c = Create(2)
p1 = Process(.6, 1)
p2 = Process(.3, 1)
p3 = Process(.4, 1)
p4 = Process(.1, 2)
print('id0 = {} id1= {} '.format(c.getId(), p1.getId()))
c.setNextElement(p1)
c.setName('CREATOR')
p1.setName('PROCESSOR1')
p2.setName('PROCESSOR2')
p3.setName('PROCESSOR3')
p4.setName('PROCESSOR4')
c.setDistribution('exp')
p1.setDistribution('exp')
p2.setDistribution('exp')
p3.setDistribution('exp')
p4.setDistribution('exp')
p1.setNextElements([p2, p3, p4, None])
p1.elementsProbabilities = [0.15, 0.13, 0.3, 0.42]
p2.setNextElements([p1])
p3.setNextElements([p1])
p4.setNextElements([p1])
elementsList = [c, p1, p2, p3, p4]
model = Model(elementsList)
model.simulate(1000000.0)
res = model.returnResult()
res['theoretical_mean_queue'] = [1.786, 0.003, 0.004, 0.00001]
res['theoretical_workload'] = [0.714, 0.054, 0.062, 0.036]
res['queue_accuracy'] = 100 * (
abs(res.eval('mean - theoretical_mean_queue')) /
res['theoretical_mean_queue'])
res['workload_accuracy'] = 100 * (
abs(res.eval('workload - theoretical_workload')) /
res['theoretical_workload'])
print(res)
def main(self):
p11 = Process(.3, .3, 1)
p12 = Process(.3, .3, 1)
p11.otherProcess = p12
p12.otherProcess = p11
c = Create(.5)
c.setNextElements([p11, p12])
p11.setMaxqueue(3)
p12.setMaxqueue(3)
p11.state = 1
p12.state = 1
c.tnext = 0.1
p11.queue = 2
p12.queue = 2
c.setName('CREATOR')
p11.setName('PROCESSOR21')
p12.setName('PROCESSOR22')
c.setDistribution('exp')
p11.setDistribution('exp')
p12.setDistribution('exp')
elementsList = [c, p11, p12]
model = Model(elementsList)
model.simulate(10000.0)
