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Python Simulator.run方法代码示例

本文整理汇总了Python中Simulator.Simulator.run方法的典型用法代码示例。如果您正苦于以下问题:Python Simulator.run方法的具体用法?Python Simulator.run怎么用?Python Simulator.run使用的例子?那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在Simulator.Simulator的用法示例。


在下文中一共展示了Simulator.run方法的14个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的Python代码示例。

示例1: simulationLoop

# 需要导入模块: from Simulator import Simulator [as 别名]
# 或者: from Simulator.Simulator import run [as 别名]
def simulationLoop(server, capacity, period, scaled, ex_time, int_time):
        name = server + ".csv"
        s = Simulator(stats = name)

        # Set the server
        if server == 'polling':
            s.server = PollingServer(capacity, period)
        elif server == 'deferrable':
            s.server = DeferrableServer(capacity, period)
        else:
            s.server = BackgroundServer()


        # Load the taskset
        for t in scaled:
            s.tasks.append(t)

        # Create the aperiodic task
        ap = AperiodicTask("Soft", ex_time, int_time)
        s.tasks.append(ap)


        # RUUUUUUUUN !!!
        s.init(until)
        s.run()


        return computeAverage(name)
开发者ID:markusian,项目名称:hybrid-scheduling,代码行数:30,代码来源:ToButtazzo2.py

示例2: oneRoundDelay

# 需要导入模块: from Simulator import Simulator [as 别名]
# 或者: from Simulator.Simulator import run [as 别名]
def oneRoundDelay(step = 10000):
    injectRate = 0.9
    factory = GridNetworkFactory(makeSimpleNode(),Queues)
    factory.constructNetwork(6,6)\
        .setFlow(Flow((0,0),(0,5),injectRate))\
        .setFlow(Flow((5,0),(5,5),injectRate))\
        .setFlow(Flow((2,0),(3,5),injectRate))

    network = factory.getNetwork()

    packetFactory = PacketFactory()
    simulator = \
        Simulator(network,step,ConstLinkRateGenerator(1),packetFactory)
    simulator.run()
    #simulator.printNetwork()
    stat = simulator.getStaticsInfo()
    print stat['aveDelay']
    packetPool = sorted(stat['packetPool'],key=lambda p: p.getID)


    
    py.subplot(211)
    py.vlines([p.getCreateTime() for p in packetPool],[1],[p.getDelay() for p in packetPool],'r')
    py.xlabel('Packet create time(bp with $\lambda$ = 0.9)')
    py.ylabel('delay')
    py.grid(True)




    injectRate = 0.9
    factory = GridNetworkFactory(makeMNode(2),Queues)
    factory.constructNetwork(6,6)\
        .setFlow(Flow((0,0),(0,5),injectRate))\
        .setFlow(Flow((5,0),(5,5),injectRate))\
        .setFlow(Flow((2,0),(3,5),injectRate))

    network = factory.getNetwork()

    packetFactory = PacketFactory()
    simulator = \
        Simulator(network,step,ConstLinkRateGenerator(1),packetFactory)
    simulator.run()
    #simulator.printNetwork()

    stat = simulator.getStaticsInfo()
    print stat['aveDelay']
    packetPool = sorted(stat['packetPool'],key=lambda p: p.getID)

    py.subplot(212)
    py.vlines([p.getCreateTime() for p in packetPool],[1],[p.getDelay() for p in packetPool],'b')
    py.xlabel('Packet create time (m=2 with $\lambda$ = 0.9)')
    py.ylabel('delay')
    py.grid(True)
    py.savefig('packetDelayInOneRound_09')
    py.show()
开发者ID:nwpuCipher,项目名称:MaxWeightSim,代码行数:58,代码来源:Main.py

示例3: main

# 需要导入模块: from Simulator import Simulator [as 别名]
# 或者: from Simulator.Simulator import run [as 别名]
def main():

	NUM_INITIAL_MOBILES = 150
	SIMULATION_ITERATIONS = 3600

	print("callAttempts, blkSig, blkCap, dropSig, HOfail, HO, complSuc, talkTime, GOS, HOFR, intensity")

	for iteration in range(10):
		simulator = Simulator(NUM_INITIAL_MOBILES, 1.0/3600)
		simulator.run(SIMULATION_ITERATIONS, iteration)
开发者ID:codehatch,项目名称:school-work,代码行数:12,代码来源:Q1.py

示例4: main

# 需要导入模块: from Simulator import Simulator [as 别名]
# 或者: from Simulator.Simulator import run [as 别名]
def main():

	NUM_INITIAL_MOBILES = 150
	SIMULATION_ITERATIONS = 3600

	print("callAttempts, blkSig, blkCap, dropSig, HOfail, HO, complSuc, talkTime, GOS, HOFR, intensity")

	for iteration in range(10):
		simulator = Simulator(NUM_INITIAL_MOBILES, 1.0/3600)
#		simulator.basestations[0].ANTENNA_GAIN = 10
#		simulator.basestations[1].ANTENNA_GAIN = 10
		simulator.basestations[0].NUM_CHANNELS = 20
		simulator.basestations[1].NUM_CHANNELS = 20
		simulator.run(SIMULATION_ITERATIONS, iteration)
开发者ID:codehatch,项目名称:school-work,代码行数:16,代码来源:Q3.py

示例5: CounterTest

# 需要导入模块: from Simulator import Simulator [as 别名]
# 或者: from Simulator.Simulator import run [as 别名]
def CounterTest(step = 10000):
    injectRate = 1
    factory = GridNetworkFactory(makeCNode(0),Queues)
    factory.constructNetwork(8,8)\
        .setFlow(Flow((0,0),(0,7),injectRate))\
        .setFlow(Flow((7,0),(7,7),injectRate))
                                
    network = factory.getNetwork()

    packetFactory = PacketFactory()
    simulator = \
    Simulator(network,step,ConstLinkRateGenerator(1),packetFactory)
    simulator.run()
    #simulator.printNetwork()
    stat = simulator.getStaticsInfo()
    print stat
开发者ID:nwpuCipher,项目名称:MaxWeightSim,代码行数:18,代码来源:modMain.py

示例6: OrdTest

# 需要导入模块: from Simulator import Simulator [as 别名]
# 或者: from Simulator.Simulator import run [as 别名]
def OrdTest():
    injectRate = 0.5
    factory = GridNetworkFactory(makeMNode(1),ShadowQueues)
    factory.constructNetwork(8,8)\
        .setFlow(Flow((2,0),(2,7),injectRate),Flow((4,0),(4,7),injectRate),\
                     Flow((0,2),(7,2),injectRate),Flow((0,4),(7,4),injectRate),\
                     Flow((1,1),(5,1),injectRate),Flow((6,1),(6,6),injectRate),\
                     Flow((5,6),(1,6),injectRate),Flow((1,5),(1,2),injectRate))
    network = factory.getNetwork()

    packetFactory = PacketFactory()
    simulator = \
    Simulator(network,gobalMaxStep,ConstLinkRateGenerator(1),packetFactory)
    simulator.run()
    stat = simulator.getStaticsInfo()
    print stat
开发者ID:nwpuCipher,项目名称:MaxWeightSim,代码行数:18,代码来源:modMain.py

示例7: _run_simulation

# 需要导入模块: from Simulator import Simulator [as 别名]
# 或者: from Simulator.Simulator import run [as 别名]
	def _run_simulation(self, num_investments):
		'''Run a single simulation with a given number of investments

		For each position, the number of investments is the number of rows.
		For each investment, we run num_trial trials, where each trial is
		a column in that row.

		We multiply all the trials for each investment by the value of that
		investment, which is simply the intial budget divided by the number
		of investments.

		For each trial (column), we sum up the returns from all the investments
		(rows), producing a 1xnum_trials array with the cumulative returns from 
		each day.'''

		position_value = self.initial_budget / num_investments

		# Create the simulator object
		simulator = Simulator({(0, .51): 1.0, (.51, 1): -1.0}, 
								nrows=num_investments, 
								ncols=self.num_trials) 

		# Run the simulator, and multiply each of the results by the value
		# of a share for this position
		trial_returns = simulator.run() * position_value

		# Collapse all investments on each day into cumulative return
		cumu_ret = self.initial_budget + trial_returns.sum(axis=0)

		# The daily rate of return, which is the final result
		daily_ret = (cumu_ret / float(self.initial_budget)) - 1.

		return daily_ret
开发者ID:whirlkick,项目名称:assignment8,代码行数:35,代码来源:Investor.py

示例8: __init__

# 需要导入模块: from Simulator import Simulator [as 别名]
# 或者: from Simulator.Simulator import run [as 别名]
class DifferentInjectRateTest:
    def __init__(self,linkRate=1,maxStep=gobalMaxStep,injectRate=0.5,\
                     factory=gobalGridNetworkFactory):
        factory.constructNetwork(8,8)\
            .setFlow(Flow((2,0),(2,7),injectRate),Flow((4,0),(4,7),injectRate),
                     Flow((0,2),(7,2),injectRate),Flow((0,4),(7,4),injectRate),
                     Flow((1,1),(5,1),injectRate),Flow((6,1),(6,6),injectRate)
                     ,Flow((5,6),(1,6),injectRate),Flow((1,5),(1,2),injectRate))
        network = factory.getNetwork()

        self.packetFactory = PacketFactory()
        self.simulator = \
            Simulator(network,maxStep,ConstLinkRateGenerator(linkRate),self.packetFactory)

    def run(self):
        self.simulator.run(flag = False)

    def getStaticsInfo(self):
        return self.simulator.getStaticsInfo()
开发者ID:nwpuCipher,项目名称:MaxWeightSim,代码行数:21,代码来源:Main.py

示例9: SoS

# 需要导入模块: from Simulator import Simulator [as 别名]
# 或者: from Simulator.Simulator import run [as 别名]
MCISoS = SoS(CSs, MCIMap)

MCIEvents = []
numOfPatients = 20
for i in range(numOfPatients):
    MCIEvents.append(Event(PatientOccurrence('patient +1', MCIMap), ConstantTimeBound(0)))
MCIScenario = Scenario(MCIEvents)

'''Simulation'''
simulationTime = 15
MCISim = Simulator(simulationTime, MCISoS, MCIScenario)

repeatSim = 2000
MCILogs = []
for i in range(repeatSim):
    MCILog = MCISim.run()
    MCILogs.append(MCILog)

'''
print('log print (only last log)')
for log in MCILogs:
    print(log[-1], sum(log[-1][0]), sum(log[-1][1]))
'''
'''
print()
for CS in CSs:
    print(CS.name, 'rescued:', CS.rescued)
print('final map:', MCIMap)
print()
'''
开发者ID:JunoJunho,项目名称:SIMSoS,代码行数:32,代码来源:SIMVA-SoS.py

示例10: Simulator

# 需要导入模块: from Simulator import Simulator [as 别名]
# 或者: from Simulator.Simulator import run [as 别名]
from  Simulator import Simulator
from States import S_Start, S_DeadCancer, S_DeadAge, S_DeadChemo
from numpy import average
import ConundrumModel as Model

s= Simulator(iters=10000, age=60, ca125=True, model=Model)
s.run()
print average([len(p.states) for p in s.patients])


s.clear_survival_curves()

s.add_survival_curve(start_states=[S_Start], 
                        end_states=[S_DeadCancer])

s.add_survival_curve(start_states=[S_Start], 
                        end_states=[S_DeadChemo])

s.add_survival_curve(start_states=[S_Start], 
                        end_states=[S_DeadAge])

s.draw_survival_curves(name="conundrum.png")
开发者ID:jmandel,项目名称:coursework,代码行数:24,代码来源:Driver_Conundrum.py

示例11: Simulator

# 需要导入模块: from Simulator import Simulator [as 别名]
# 或者: from Simulator.Simulator import run [as 别名]

	lb = Simulator(initial_slots=64, simulations=2000, min_tags=100, max_tags=1000,
							step=100, estimator=lower_bound)

	lee = Simulator(initial_slots=64, simulations=2000, min_tags=100, max_tags=1000,
							step=100, estimator=eom_lee)

	chen = Simulator(initial_slots=64, simulations=2000, min_tags=100, max_tags=1000,
							step=100, estimator=chen)


	# Use this to generate graphics
	start_time = time.time()

	lb_result = lb.run()
	print("Tempo para execucao do lower bound: " + str(time.time() - start_time))

	start_time = time.time()

	lee_result = lee.run()
	print("Tempo de execucao do eom lee: " + str(time.time() - start_time))

	start_time = time.time()

	chen_result = chen.run()
	print("Tempo de execucao do chen: " + str(time.time() - start_time))

	print(lb_result)
	print(lee_result)
	print(chen_result)
开发者ID:mmfrb,项目名称:siscom,代码行数:32,代码来源:Main.py

示例12: range

# 需要导入模块: from Simulator import Simulator [as 别名]
# 或者: from Simulator.Simulator import run [as 别名]
age = 60

smonths_with = {}
smonths_without = {}
icer = []

CostEvaluator.bProbabilistic = True

iters = 100
avg = []
for k in range(100):
    CostEvaluator.cache = {}
    for i in range(1):
        s2 = Simulator(iters=iters, age=age, ca125=False, model=Model)
        s2.run()
    
        s1 = Simulator(iters=iters, age=age, ca125=True, model=Model)
        s1.run()
        c1 = sum([CostEvaluator.EvaluatePatient(p)['cost'] for p in s1.patients]) * 1./iters
        q1 = sum([CostEvaluator.EvaluatePatient(p)['quality'] for p in s1.patients]) * 1./iters
        c2 = sum([CostEvaluator.EvaluatePatient(p)['cost'] for p in s2.patients]) * 1./iters
        q2 = sum([CostEvaluator.EvaluatePatient(p)['quality'] for p in s2.patients]) * 1./iters
        
        print np.average([len(x.states) for x in s1.patients])
        print np.average([len(x.states) for x in s2.patients])
        
    avg.append((q1-q2, c1-c2))
    print avg[-1]

开发者ID:jmandel,项目名称:coursework,代码行数:30,代码来源:Driver_Scatter.py

示例13: Simulator

# 需要导入模块: from Simulator import Simulator [as 别名]
# 或者: from Simulator.Simulator import run [as 别名]
from Simulator import Simulator
from Estimators import *
import matplotlib.pyplot as plt

if __name__ == '__main__':

	simulator = Simulator(initial_slots=64, simulations=1, min_tags=100, max_tags=1000,
							step=100, estimator=eom_lee)


	# Use this to generate graphics
	result = simulator.run()

	print(result)
	
	# Generating Collisions vs Tags
	plt.figure(1)
	plt.title('Collisions vs Tags')
	plt.plot([x['tags'] for x in result], [x['collisions'] for x in result], 'r--')
	plt.ylabel('Collisions')
	plt.xlabel('Tags')
	
	# Generating Empty vs Tags
	plt.figure(2)
	plt.title('Empty vs Tags')
	plt.plot([x['tags'] for x in result], [x['empty'] for x in result], 'r--')
	plt.ylabel('Empty')
	plt.xlabel('Tags')

	# Generating Slots vs Tags
	plt.figure(3)
开发者ID:eap3,项目名称:siscom,代码行数:33,代码来源:Main.py

示例14: Simulator

# 需要导入模块: from Simulator import Simulator [as 别名]
# 或者: from Simulator.Simulator import run [as 别名]
from States import *
import MultiExponentialModel as Model

Model.bProbabilistic = False
age = 60
cost_bins = np.arange(0,50000,1000)
quality_bins = np.arange(0,30,1./12)


for x in np.arange(.001, 1, .01):
    Model.vProbabilistic[Model.pFirstRecurrence][2] = x
    idstr = ".pFirstRecurrence.%04f"%x
#    print idstr
    
    s1 = Simulator(iters=5000, age=age, ca125=True, model=Model)
    s1.run()
    
    c = np.array([CostEvaluator.EvaluatePatient(p)['cost'] for p in s1.patients])
    print x, "\t",np.average(c)

    


print "Quality: ", np.average([x[0] for x in icer])
print "Cost: ", np.average([x[1] for x in icer])

f = py.figure(0)
f.clear()
ax = f.add_subplot(2,1,1)
n, bins, patches = ax.hist([x[0] for x in icer], normed=1, alpha=.75, bins=75)
ax.set_xlabel("$\Delta$Quality")
开发者ID:jmandel,项目名称:coursework,代码行数:33,代码来源:Driver_Sensitivity.py


注:本文中的Simulator.Simulator.run方法示例由纯净天空整理自Github/MSDocs等开源代码及文档管理平台,相关代码片段筛选自各路编程大神贡献的开源项目,源码版权归原作者所有,传播和使用请参考对应项目的License;未经允许,请勿转载。