def func(n):
while True :
lmbda = random.uniform(Integer(20),Integer(50))
mu = [random.uniform(Integer(2),Integer(5)),random.uniform(Integer(2),Integer(5))]
c = [random.randint(Integer(2),Integer(4)),random.randint(Integer(2),Integer(4))]
skip = [random.uniform(RealNumber('0.5'),RealNumber('0.8')),random.uniform(RealNumber('0.5'),RealNumber('0.8'))]
'''
lmbda =5
mu = [3,4]
c = [2,2]
skip = [0.4,0.4]
'''
print lmbda
print mu
print c
print skip
Object2 = TwoQueueVia.Queue(lmbda,mu,c,skip)
ViaOut = Object2.VIA(RealNumber('0.1'))
Object1 = StaticHeuristic.n2approx(lmbda,mu,c,skip)
HeuristicPolicy = Object1.calculate_D(Integer(20),Integer(20))
Object3 = TwoQueueVia.Queue(lmbda,mu,c,skip,Policy = HeuristicPolicy)
HeuristicCost = Object3.VIA(RealNumber('0.1'))[Integer(0)]
Object4 = Simm.RoutingSimm(lmbda,mu,c,skip,Integer(500),HeuristicPolicy,Integer(100),[Integer(0),Integer(0)],Policy_type = 'Matrix')
Object5 = Simm.RoutingSimm(lmbda,mu,c,skip,Integer(500),ViaOut[Integer(2)],Integer(100),[Integer(0),Integer(0)],Policy_type = 'Matrix')
Object6 = StaticHeuristic.independant(lmbda,mu,c,skip)
indepPolicy = Object6.calculate_D(Integer(20),Integer(20))
Object7 = TwoQueueVia.Queue(lmbda,mu,c,skip,Policy = indepPolicy)
Object8 = Simm.RoutingSimm(lmbda,mu,c,skip,Integer(500),indepPolicy,Integer(100),[Integer(0),Integer(0)],Policy_type = 'Matrix')
indepCost = Object7.VIA(RealNumber('0.1'))[Integer(0)]
outfile = open('./Static/MDP/Comparisons/out/AllComp.csv','ab')
output = csv.writer(outfile)
outrow = []
outrow.append(lmbda)
outrow.append(mu[Integer(0)])
outrow.append(mu[Integer(1)])
outrow.append(c[Integer(0)])
outrow.append(c[Integer(1)])
outrow.append(skip[Integer(0)])
outrow.append(skip[Integer(1)])
outrow.append(HeuristicCost)
outrow.append(Object4[Integer(0)])
outrow.append(HeuristicPolicy.str())
outrow.append(indepCost)
outrow.append(Object8[Integer(0)])
outrow.append(indepPolicy.str())
outrow.append(ViaOut[Integer(0)])
outrow.append(Object5[Integer(0)])
outrow.append(ViaOut[Integer(2)].str())
output.writerow(outrow)
outfile.close()
def func(n):
while True :
lmbda = random.uniform(Integer(20),Integer(50))
mu = [random.uniform(Integer(2),Integer(5)),random.uniform(Integer(2),Integer(5))]
c = [random.randint(Integer(2),Integer(4)),random.randint(Integer(2),Integer(4))]
skip = [random.uniform(RealNumber('0.5'),RealNumber('0.8')),random.uniform(RealNumber('0.5'),RealNumber('0.8'))]
for e in range(Integer(1),Integer(10)):
print lmbda
print mu
print c
print skip
Object2 = TwoQueueVia.Queue(lmbda,mu,c,skip)
ViaOut = Object2.VIA(RealNumber('0.1'))
Object1 = StaticHeuristic.n2approx(lmbda,mu,c,skip)
HeuristicPolicy = Object1.calculate_D(Integer(20),Integer(20))
Object3 = TwoQueueVia.Queue(lmbda,mu,c,skip,Policy = HeuristicPolicy)
HeuristicCost = Object3.VIA(RealNumber('0.1'))[Integer(0)]
Object4 = Simm.RoutingSimm(lmbda,mu,c,skip,Integer(500),HeuristicPolicy,Integer(100),[Integer(0),Integer(0)],Policy_type = 'Matrix')
Object5 = Simm.RoutingSimm(lmbda,mu,c,skip,Integer(500),ViaOut[Integer(2)],Integer(100),[Integer(0),Integer(0)],Policy_type = 'Matrix')
Object6 = StaticHeuristic.independant(lmbda,mu,c,skip)
indepPolicy = Object6.calculate_D(Integer(20),Integer(20))
Object7 = TwoQueueVia.Queue(lmbda,mu,c,skip,Policy = indepPolicy)
Object8 = Simm.RoutingSimm(lmbda,mu,c,skip,Integer(500),indepPolicy,Integer(100),[Integer(0),Integer(0)],Policy_type = 'Matrix')
indepCost = Object7.VIA(RealNumber('0.1'))[Integer(0)]
Object9 = StaticHeuristic.simulation(lmbda,mu,c,skip,e*Integer(3600))
SimmPolicy = Object9.calculate_D()
Object10 = TwoQueueVia.Queue(lmbda,mu,c,skip,Policy = SimmPolicy)
SimmCost = Object10.VIA(RealNumber('0.1'))[Integer(0)]
Object11 = Simm.RoutingSimm(lmbda,mu,c,skip,Integer(500),SimmPolicy,Integer(100),[Integer(0),Integer(0)],Policy_type = 'Matrix')
outfile = open('./Static/MDP/Comparisons/out/RunTimeExp(%s,%s,%s,%s).csv' %(lmbda,mu,c,skip),'ab')
output = csv.writer(outfile)
outrow = [e*Integer(3600)]
outrow.append(lmbda)
outrow.append(mu[Integer(0)])
outrow.append(mu[Integer(1)])
outrow.append(c[Integer(0)])
outrow.append(c[Integer(1)])
outrow.append(skip[Integer(0)])
outrow.append(skip[Integer(1)])
outrow.append(HeuristicCost)
outrow.append(Object4[Integer(0)])
outrow.append(HeuristicPolicy.str())
outrow.append(indepCost)
outrow.append(Object8[Integer(0)])
outrow.append(indepPolicy.str())
outrow.append(ViaOut[Integer(0)])
outrow.append(Object5[Integer(0)])
outrow.append(ViaOut[Integer(2)].str())
outrow.append(SimmCost)
outrow.append(Object11[Integer(0)])
outrow.append(SimmPolicy.str())
output.writerow(outrow)
outfile.close()
def func(n):
while True :
for e in range(Integer(20),Integer(50)):
lmbda = random.uniform(Integer(20),Integer(100))
mu = [random.uniform(Integer(2),Integer(10)),random.uniform(Integer(2),Integer(10))]
c = [random.randint(Integer(2),Integer(7)),random.randint(Integer(2),Integer(7))]
skip = [random.uniform(RealNumber('0.5'),Integer(5)),random.uniform(RealNumber('0.5'),Integer(5))]
print lmbda
print mu
print c
print skip
start = time.time()
Object2 = TwoQueueVia.Queue(lmbda,mu,c,skip,bounds = [e-Integer(1),e-Integer(1)])
ViaOut = Object2.VIA(RealNumber('0.1'))
viatime = time.time() - start
Object5 = Simm.RoutingSimm(lmbda,mu,c,skip,Integer(500),ViaOut[Integer(2)],Integer(100),[Integer(0),Integer(0)],Policy_type = 'Matrix')
start = time.time()
Object6 = StaticHeuristic.independant(lmbda,mu,c,skip)
indepPolicy = Object6.calculate_D(e,e)
indeptime = time.time() - start
Object7 = TwoQueueVia.Queue(lmbda,mu,c,skip,Policy = indepPolicy)
Object8 = Simm.RoutingSimm(lmbda,mu,c,skip,Integer(500),indepPolicy,Integer(100),[Integer(0),Integer(0)],Policy_type = 'Matrix')
indepCost = Object7.VIA(RealNumber('0.1'))[Integer(0)]
start = time.time()
Object9 = StaticHeuristic.n2Simm(lmbda,mu,c,skip,run_time = Integer(7200))
SimmN2Policy = Object9.calculate_D(e,e)
SimmN2time = time.time() - start
Object10 = TwoQueueVia.Queue(lmbda,mu,c,skip,Policy = SimmN2Policy)
SimmN2Cost = Object10.VIA(RealNumber('0.1'))[Integer(0)]
Object11 = Simm.RoutingSimm(lmbda,mu,c,skip,Integer(500),SimmN2Policy,Integer(100),[Integer(0),Integer(0)],Policy_type = 'Matrix')
start = time.time()
Object12 = StaticHeuristic.simulation(lmbda,mu,c,skip,run_time = Integer(7200))
SimmPolicy = Object12.calculate_D(e,e)
Simmtime = time.time() - start
Object13 = TwoQueueVia.Queue(lmbda,mu,c,skip,Policy = SimmPolicy)
SimmCost = Object13.VIA(RealNumber('0.1'))[Integer(0)]
Object14 = Simm.RoutingSimm(lmbda,mu,c,skip,Integer(500),SimmPolicy,Integer(100),[Integer(0),Integer(0)],Policy_type = 'Matrix')
start = time.time()
Object15 = StaticHeuristic.n2Ana(lmbda,mu,c,skip,run_time = Integer(7200))
n2AnaPolicy = Object15.calculate_D(e,e)
n2Anatime = time.time() - start
Object16 = TwoQueueVia.Queue(lmbda,mu,c,skip,Policy = n2AnaPolicy)
n2AnaCost = Object16.VIA(RealNumber('0.1'))[Integer(0)]
Object17 = Simm.RoutingSimm(lmbda,mu,c,skip,Integer(500),n2AnaPolicy,Integer(100),[Integer(0),Integer(0)],Policy_type = 'Matrix')
start = time.time()
Object18 = StaticHeuristic.n2approx(lmbda,mu,c,skip,run_time = Integer(7200))
n2approxPolicy = Object18.calculate_D(e,e)
n2approxtime = time.time() - start
Object19 = TwoQueueVia.Queue(lmbda,mu,c,skip,Policy = n2approxPolicy)
n2approxCost = Object19.VIA(RealNumber('0.1'))[Integer(0)]
Object20 = Simm.RoutingSimm(lmbda,mu,c,skip,Integer(500),n2approxPolicy,Integer(100),[Integer(0),Integer(0)],Policy_type = 'Matrix')
outfile = open('./Static/MDP/Comparisons/out/TimingsNew.csv','ab')
output = csv.writer(outfile)
outrow = []
outrow.append(e)
outrow.append(lmbda)
outrow.append(mu[Integer(0)])
outrow.append(mu[Integer(1)])
outrow.append(c[Integer(0)])
outrow.append(c[Integer(1)])
outrow.append(skip[Integer(0)])
outrow.append(skip[Integer(1)])
outrow.append(indepCost)
outrow.append(Object8[Integer(0)])
outrow.append(indeptime)
outrow.append(indepPolicy.str())
outrow.append(ViaOut[Integer(0)])
outrow.append(Object5[Integer(0)])
outrow.append(viatime)
outrow.append(ViaOut[Integer(2)].str())
outrow.append(SimmCost)
outrow.append(Simmtime)
outrow.append(Object14[Integer(0)])
outrow.append(SimmPolicy.str())
outrow.append(SimmN2Cost)
outrow.append(Object11[Integer(0)])
outrow.append(SimmN2time)
outrow.append(SimmN2Policy.str())
outrow.append(n2AnaCost)
outrow.append(Object17[Integer(0)])
outrow.append(n2Anatime)
outrow.append(n2AnaPolicy.str())
outrow.append(n2approxCost)
outrow.append(Object20[Integer(0)])
outrow.append(n2approxtime)
outrow.append(n2approxPolicy.str())
output.writerow(outrow)
outfile.close()