def main():
"""
Relaxed Checkpoint Simulator simulates the execution of an application given the job parameters required
"""
MAX_JOBS = 10
RUNTIME = 50 * HOUR
OCI_LIST = [
1.2 * HOUR, 1.7 * HOUR, 2.1 * HOUR, 2.8 * HOUR, 3.3 * HOUR, 4.7 * HOUR
]
BETA_LIST = [
0.1 * HOUR, 0.2 * HOUR, 0.25 * HOUR, 0.3 * HOUR, 0.35 * HOUR,
0.4 * HOUR
]
# Ask for Input
print("Relaxed Checkpointing Simulator")
print("Configurations. \n 1) Maximum number of jobs:", MAX_JOBS,
"\n 2) Total compute time :", RUNTIME, "seconds\n")
system = Machine()
simulator_properties = SimulatorProperties(RUNTIME)
simulator = Simulator(system, simulator_properties)
initialize_jobs(system, OCI_LIST, BETA_LIST, MAX_JOBS)
simulator.__do_simulation__()
def runCoherenceFadingTest():
experimentSpec = {
'packetGen': {'type': 'random',
'length': 300},
'code': {'type': 'spinal',
'puncturing': {'type': '8-way-v2',
'numLastCodeStep': 2},
'hash': 'one-at-a-time',
'bitsPerSymbol': 10,
'k': 3},
'map': {'type': 'soft',
'bitsPerSymbol': 10},
'channel': {'type': 'coherence-fading',
'interval': 10,
'SNR_dB': 10},
'demap': {'type': 'null'},
'decoder': {'type': 'regular',
'beamWidth': 16,
'maxPasses': 48*8},
'detector': {'type': 'oracle'},
'protocol': {'type': 'sequential',
'maxPasses': 48*8},
'statistics': {'type': 'errors'}
}
runner = Simulator(1)
res = runner.runExperiment(experimentSpec,
numpy.random.RandomState().tomaxint(4),
100)
print str(res)
def runRaptorTest():
experimentSpec = {
'packetGen': {'type': 'random',
'length': 9500},
'code': {'type': 'raptor'},
'map': {'type': 'QAM',
'bitsPerSymbol': 6},
'channel': {'type': 'AWGN_c',
'SNR_dB': 20},
'demap': {'type': 'QAM',
'useApprox': True},
'decoder': {'type': 'raptor',
'numIter': 40},
'detector': {'type': 'oracle'},
'protocol': {'type': 'rate-approx',
'maxSymbols': 11500,
'delta': 0.97,
'minSymbols':1280},
'statistics': {'type': 'errors'}
}
runner = Simulator(2)
res = runner.runExperiment(experimentSpec,
numpy.random.RandomState().tomaxint(4),
3)
print str(res)
def runBscLDPCTest():
experimentSpec = {
'packetGen': {'type': 'random',
'length': 648*2/3},
'code': {'type': 'ldpc',
'n': 648,
'rate': (2,3),
'bitsPerSymbol': 1},
'map': {'type': 'linear',
'bitsPerSymbol': 1,
'precisionBits': 1},
'channel': {'type': 'BSC',
'flipProb': 0.04},
'demap': {'type': 'BSC',
'flipProb': 0.04},
'decoder': {'type': 'ldpc-float-bp',
'numIter': 40},
'detector': {'type': 'oracle'},
'protocol': {'type': 'one-try',
'numSymbols': 648},
'statistics': {'type': 'errors'}
}
runner = Simulator(0)
res = runner.runExperiment(experimentSpec,
numpy.random.RandomState().tomaxint(4),
100)
print str(res)
def runParallelKTest():
experimentSpec = {
'packetGen': {'type': 'random',
'length': 300},
'code': {'type': 'spinal',
'puncturing': {'type': '8-way-v2',
'numLastCodeStep': 2},
'hash': 'one-at-a-time',
'bitsPerSymbol': 10,
'k': 3},
'map': {'type': 'linear',
'bitsPerSymbol': 10,
'precisionBits': 14},
'channel': {'type': 'AWGN',
'SNR_dB': 10},
'demap': {'type': 'null'},
'decoder': {'type': 'parallel',
'alpha': 4,
'beta': 64,
'maxPasses': 48*8},
'detector': {'type': 'oracle'},
'protocol': {'type': 'sequential',
'maxPasses': 48*8},
'statistics': {'type': 'errors'}
}
runner = Simulator(1)
res = runner.runExperiment(experimentSpec,
numpy.random.RandomState().tomaxint(4),
10)
print str(res)
def runFirstErrorStatisticsTest():
experimentSpec = {
'packetGen': {'type': 'random',
'length': 256},
'code': {'type': 'spinal',
'puncturing': {'type': '8-way-v2',
'numLastCodeStep': 2},
'hash': 'one-at-a-time',
'bitsPerSymbol': 10,
'k': 4},
'map': {'type': 'linear',
'bitsPerSymbol': 10,
'precisionBits': 14},
'channel': {'type': 'AWGN',
'SNR_dB': -2},
'demap': {'type': 'null'},
'decoder': {'type': 'regular',
'beamWidth': 100,
'maxPasses': 48*8},
'detector': {'type': 'oracle'},
'protocol': {'type': 'one-try',
'numSymbols': 256*2},
'statistics': {'type': 'first-error'}
}
runner = Simulator(1)
for i in xrange(10):
res = runner.runExperiment(experimentSpec,
numpy.random.RandomState().tomaxint(4),
1)
print str(res),
print
def runItppQamLDPCTest():
experimentSpec = {
'packetGen': {'type': 'random',
'length': 648*5/6},
'code': {'type': 'ldpc',
'n': 648,
'rate': (5,6),
'bitsPerSymbol': 1},
'map': {'type': 'QAM',
'bitsPerSymbol': 6},
'channel': {'type': 'AWGN_c',
'SNR_dB': 17.8},
'demap': {'type': 'QAM'},
'decoder': {'type': 'ldpc-float-bp',
'numIter': 40},
'detector': {'type': 'oracle'},
'protocol': {'type': 'one-try',
'numSymbols': 648/6},
'statistics': {'type': 'errors'}
}
runner = Simulator(0)
res = runner.runExperiment(experimentSpec,
numpy.random.RandomState().tomaxint(4),
100)
print str(res)
def doT1nT2n(self,Community_Coordinate):
nPnt= 10 #1000
nLink= 11 #40
tests=""
s=Simulator(nPnt)
s.genPoints(Community_Coordinate)
#s.genRandomLinks(nLink*nPnt)
return s.pAll
## f2= open('doT1nT2n2.txt', 'w')
## for i in range(0,100):
## for j in range(0,i+1):
## nSteps=self.MutiTimesNoGen(s,1,i,j,0.5,0.2)
## print str(i)+"\t"+ str(j) +"\t"+str(nSteps)
## f2.write(str(i)+"\t"+ str(j) +"\t"+str(nSteps)+"\n")
## tests=tests+str(nSteps)+"\t"
## for j in range(i,101):
## tests=tests+"0\t"
## tests=tests+("\n")
## f = open('doT1nT2n.txt', 'w')
## f.write(tests)
return
def runItppQamLDPCTest():
experimentSpec = {
'packetGen': {'type': 'random',
'length': 648*5/6},
'code': {'type': 'ldpc',
'n': 648,
'rate': (5,6),
'bitsPerSymbol': 1},
'map': {'type': 'QAM',
'bitsPerSymbol': 6},
'channel': {'type': 'AWGN_c',
'SNR_dB': 17.8},
'demap': {'type': 'QAM'},
'decoder': {'type': 'ldpc-float-bp',
'numIter': 40},
'detector': {'type': 'oracle'},
'protocol': {'type': 'one-try',
'numSymbols': 648/6},
'statistics': {'type': 'errors'}
}
runner = Simulator(0)
res = runner.runExperiment(experimentSpec,
numpy.random.RandomState().tomaxint(4) % 4294967295,
100)
print str(res)
def main():
import this
root = tkinter.Tk()
root.title('Brownian Motion Simulation')
simulator = Simulator(root, 50)
simulator.simulate(300, 0.3)
root.mainloop()
def main():
cfg.load()
cfg.print_all()
hexes = [
Person(i=0, j=0),
Person(i=0, j=-5),
Person(i=5, j=-5),
Person(i=-4, j=5)
]
# person = Person(i=0, j=0)
# for i in range(10):
# print(person.go_brr(hexes).name)
# pop = Population()
# pop.get_by_id(4).state = State.Deceased
# pop.get_by_id(5).state = State.Recovered
# print(pop)
sim = Simulator()
# print(sim.population)
# d = Drawer.Drawer()
# d.draw_hexes(sim.plane.hexagons, hexes)
# print(util.get_surrounding(hexes[1].coordinates, sim.plane.hexagons))
# sim.tick()
# sim.tick()
for i in range(10):
sim.tick()
def runLDPCTest():
experimentSpec = {
'packetGen': {'type': 'random',
'length': 648*5/6},
'code': {'type': 'ldpc',
'n': 648,
'rate': (5,6),
'bitsPerSymbol': 3},
'map': {'type': 'gray',
'bitsPerSymbol': 3,
'precisionBits': 14},
'channel': {'type': 'AWGN',
'SNR_dB': 17.8},
'demap': {'type': 'ml-gray',
'SNR_dB': 17.8},
'decoder': {'type': 'ldpc-float-bp',
'numIter': 40},
'detector': {'type': 'oracle'},
'protocol': {'type': 'one-try',
'numSymbols': 648/3},
'statistics': {'type': 'errors'}
}
runner = Simulator(0)
res = runner.runExperiment(experimentSpec,
numpy.random.RandomState().randint(0,4294967295,4),
100)
print str(res)
def runTest():
experimentSpec = {
'packetGen': {'type': 'random',
'length': 300},
'code': {'type': 'spinal',
'puncturing': {'type': '8-way-v2',
'numLastCodeStep': 2},
'hash': 'one-at-a-time',
'bitsPerSymbol': 10,
'k': 3},
'map': {'type': 'linear',
'bitsPerSymbol': 10,
'precisionBits': 14},
'channel': {'type': 'AWGN',
'SNR_dB': 10},
'demap': {'type': 'null'},
'decoder': {'type': 'regular',
'beamWidth': 16,
'maxPasses': 48*8},
'detector': {'type': 'oracle'},
'protocol': {'type': 'sequential',
'maxPasses': 48*8},
'statistics': {'type': 'errors'}
}
runner = Simulator(2)
logging.debug('runtest begin');
res = runner.runExperiment(experimentSpec,
numpy.random.RandomState().randint(0,4294967295,4),
100)
print str(res)
def wake_learning(self, random_movements, veh_pos=None, graphics=True):
""" Create a vehicle and run for some time-steps """
self.random_movements = random_movements
# Create vehicle in simulation
self.sim = Simulator(self.light)
if veh_pos is None:
vehicle_pos, vehicle_angle = find_random_pos(self.light)
else:
vehicle_pos, vehicle_angle = veh_pos, random.randint(0, 360)
self.random_vehicle = self.sim.init_simulation(random_movements,
graphics=graphics,
cycle='wake (training)',
veh_pos=vehicle_pos,
veh_angle=vehicle_angle)
vehicle_move = [[
self.random_vehicle.motor_left[0],
self.random_vehicle.motor_right[0],
self.random_vehicle.sensor_left[0],
self.random_vehicle.sensor_right[0]
]]
for t in range(1, random_movements):
vehicle_move.append([
self.random_vehicle.motor_left[t],
self.random_vehicle.motor_right[t],
self.random_vehicle.sensor_left[t],
self.random_vehicle.sensor_right[t]
])
vehicle_first_move = []
for t in range(0, len(vehicle_move)):
vehicle_first_move.append(np.transpose(np.array(vehicle_move[t])))
self.vehicle_first_move = np.transpose(np.array(vehicle_first_move))
def doT1nT2n(self, Community_Coordinate):
nPnt = 10 #1000
nLink = 11 #40
tests = ""
s = Simulator(nPnt)
s.genPoints(Community_Coordinate)
#s.genRandomLinks(nLink*nPnt)
return s.pAll
## f2= open('doT1nT2n2.txt', 'w')
## for i in range(0,100):
## for j in range(0,i+1):
## nSteps=self.MutiTimesNoGen(s,1,i,j,0.5,0.2)
## print str(i)+"\t"+ str(j) +"\t"+str(nSteps)
## f2.write(str(i)+"\t"+ str(j) +"\t"+str(nSteps)+"\n")
## tests=tests+str(nSteps)+"\t"
## for j in range(i,101):
## tests=tests+"0\t"
## tests=tests+("\n")
## f = open('doT1nT2n.txt', 'w')
## f.write(tests)
return
def main():
logging.basicConfig(level = logging.DEBUG,
format='%(asctime)s %(name)-12s %(levelname)-8s %(message)s')
simulator = Simulator()
manager = Manager(simulator)
ticker = Ticker(1.0, manager)
xmlrpcserver = XMLRPCServer(manager)
pbrpcserver = PBRPCServer(manager)
# Add some random tanks
for team in range(4):
for tank in range(100):
retry = True
while retry:
pos = (random.randint(-100, 100), random.randint(-100, 100))
if pos not in simulator.position:
simulator.create_tank(Tank(team, pos))
retry = False
logging.info("Starting main threads")
ticker.start()
# The XML-RPC server isn't maintained at the moment
#xmlrpcserver.start()
pbrpcserver.start()
# To stop the system with Ctrl-C
try:
while True:
time.sleep(1)
except KeyboardInterrupt:
ticker.self_destruct()
def __init__(self, netlist, tspice, sync_obj):
"""Constructor."""
# Create sync object, and set debug and simulation path
self.sync_obj = sync_obj
self.DEBUG = self.sync_obj.getDebug(
"Tanner") or self.sync_obj.getDebug("all")
self.sync_obj.appendToSimulationPath("Tanner")
if self.DEBUG:
print('Running Tanner...')
Simulator.__init__(self, netlist=netlist, sync_obj=sync_obj)
# Netlist path of circuit to be simulated.
self.netlist = netlist
# tspice path
self.tspice = tspice
# Output simulation waves. Each key corresponds to a different wave.
self.waves = None
pass
def runRateApproxProtocolTest():
experimentSpec = {
'packetGen': {'type': 'random',
'length': 24},
'code': {'type': 'spinal',
'puncturing': {'type': '8-way-v2',
'numLastCodeStep': 2},
'hash': 'one-at-a-time',
'bitsPerSymbol': 10,
'k': 4},
'map': {'type': 'linear',
'bitsPerSymbol': 10,
'precisionBits': 14},
'channel': {'type': 'AWGN',
'SNR_dB': 10},
'demap': {'type': 'null'},
'decoder': {'type': 'regular',
'beamWidth': 16,
'maxPasses': 48*8},
'detector': {'type': 'oracle'},
'protocol': {'type': 'rate-approx',
'maxSymbols': 48*7,
'delta': 0.99},
'statistics': {'type': 'errors'}
}
if 1==0:
experimentSpec['protocol'] = {'type': 'sequential', 'maxPasses':48*8}
runner = Simulator(1)
res = runner.runExperiment(experimentSpec,
numpy.random.RandomState().tomaxint(4),
500)
print str(res)
def runGaussianTest():
experimentSpec = {
'packetGen': {'type': 'random',
'length': 300},
'code': {'type': 'spinal',
'puncturing': {'type': '8-way-v2',
'numLastCodeStep': 2},
'hash': 'one-at-a-time',
'bitsPerSymbol': 10,
'k': 3},
'map': {'type': 'trunc-norm-v2',
'bitsPerSymbol': 10,
'precisionBits': 14,
'numStandardDevs': 0.1},
'channel': {'type': 'AWGN',
'SNR_dB': 10},
'demap': {'type': 'null'},
'decoder': {'type': 'regular',
'beamWidth': 16,
'maxPasses': 48*8},
'detector': {'type': 'oracle'},
'protocol': {'type': 'sequential',
'maxPasses': 48*8},
'statistics': {'type': 'errors'}
}
runner = Simulator(1)
res = runner.runExperiment(experimentSpec,
numpy.random.RandomState().tomaxint(4) % 4294967295,
100)
print str(res)
def runRateApproxProtocolTest():
experimentSpec = {
'packetGen': {'type': 'random',
'length': 24},
'code': {'type': 'spinal',
'puncturing': {'type': '8-way-v2',
'numLastCodeStep': 2},
'hash': 'one-at-a-time',
'bitsPerSymbol': 10,
'k': 4},
'map': {'type': 'linear',
'bitsPerSymbol': 10,
'precisionBits': 14},
'channel': {'type': 'AWGN',
'SNR_dB': 10},
'demap': {'type': 'null'},
'decoder': {'type': 'regular',
'beamWidth': 16,
'maxPasses': 48*8},
'detector': {'type': 'oracle'},
'protocol': {'type': 'rate-approx',
'maxSymbols': 48*7,
'delta': 0.99},
'statistics': {'type': 'errors'}
}
if 1==0:
experimentSpec['protocol'] = {'type': 'sequential', 'maxPasses':48*8}
runner = Simulator(1)
res = runner.runExperiment(experimentSpec,
numpy.random.RandomState().tomaxint(4) % 4294967295,
500)
print str(res)
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
def main():
root = tkinter.Tk()
root.title('Brownian Motion Simulation')
simulator = Simulator(root)
numSapienses = input("Please input numSapienses：")
simulator.simulate(int(numSapienses), 0.01)
root.mainloop()
def get_fitness(start_pos, start_a, brain, iterations, light, test_data=None):
"""
Returns the fitness of a vehicle using real-world simulation
:param start_pos: vehicle starting position
:param start_a: vehicle starting angle
:param brain: vehicle brain
:param iterations: number of iterations to run simulation for
:param light: the light of the simulation
:return: fitness of vehicle
"""
# create sprites
vehicle = BrainVehicle(start_pos, start_a, light)
vehicle.set_values(brain)
# create Simulation
vehicle = Simulator(light).run_simulation(iterations, False, vehicle)
fitness = np.mean(vehicle.sensor_left) + np.mean(vehicle.sensor_right)
# check for other initial conditions
if test_data is not None:
for test in test_data:
vehicle = BrainVehicle(test[0], test[1], light)
vehicle.set_values(brain)
vehicle = Simulator(light).run_simulation(iterations, False,
vehicle)
fitness += np.mean(vehicle.sensor_left) + np.mean(
vehicle.sensor_right)
fitness /= len(test_data) + 1
return fitness
def runRaptorTest():
experimentSpec = {
'packetGen': {'type': 'random',
'length': 9500},
'code': {'type': 'raptor'},
'map': {'type': 'QAM',
'bitsPerSymbol': 6},
'channel': {'type': 'AWGN_c',
'SNR_dB': 20},
'demap': {'type': 'QAM',
'useApprox': True},
'decoder': {'type': 'raptor',
'numIter': 40},
'detector': {'type': 'oracle'},
'protocol': {'type': 'rate-approx',
'maxSymbols': 11500,
'delta': 0.97,
'minSymbols':1280},
'statistics': {'type': 'errors'}
}
runner = Simulator(2)
res = runner.runExperiment(experimentSpec,
numpy.random.RandomState().tomaxint(4) % 4294967295,
3)
print str(res)
def doT1pT2p(self):
print Community_Coordinate
nPnt=1000
nLink=40
nT1=40
nT2=20
tests=""
s=Simulator(nPnt)
s.genPoints()
s.genRandomLinks(nLink*nPnt)
f2 = open('doT1pT2p2.txt', 'w')
for i in range(0,101):
for j in range(0,i+1):
nSteps=self.MutiTimesNoGen(s,1,nT1,nT2,0.01*i,0.01*j)
print str(i)+"\t"+ str(j) +"\t"+str(nSteps)
f2.write(str(i)+"\t"+ str(j) +"\t"+str(nSteps)+"\n")
tests=tests+str(nSteps)+"\t"
for j in range(i,101):
tests=tests+"0\t"
tests=tests+("\n")
f = open('doT1pT2p.txt', 'w')
f.write(tests)
return
def runCoherenceFadingTest():
experimentSpec = {
'packetGen': {'type': 'random',
'length': 300},
'code': {'type': 'spinal',
'puncturing': {'type': '8-way-v2',
'numLastCodeStep': 2},
'hash': 'one-at-a-time',
'bitsPerSymbol': 10,
'k': 3},
'map': {'type': 'soft',
'bitsPerSymbol': 10},
'channel': {'type': 'coherence-fading',
'interval': 10,
'SNR_dB': 10},
'demap': {'type': 'null'},
'decoder': {'type': 'regular',
'beamWidth': 16,
'maxPasses': 48*8},
'detector': {'type': 'oracle'},
'protocol': {'type': 'sequential',
'maxPasses': 48*8},
'statistics': {'type': 'errors'}
}
runner = Simulator(1)
res = runner.runExperiment(experimentSpec,
numpy.random.RandomState().tomaxint(4) % 4294967295,
100)
print str(res)
def __init__(self, flightParamsTemplate, submissionFile, testFlightsFile):
self.submissionFile = submissionFile
self.flightParamsTemplate = flightParamsTemplate
self.testFlightsFile = testFlightsFile
print "Starting simulator using:", testFlightsFile
self.simulator = Simulator()
print "Simulator started."
def runBscLDPCTest():
experimentSpec = {
'packetGen': {'type': 'random',
'length': 648*2/3},
'code': {'type': 'ldpc',
'n': 648,
'rate': (2,3),
'bitsPerSymbol': 1},
'map': {'type': 'linear',
'bitsPerSymbol': 1,
'precisionBits': 1},
'channel': {'type': 'BSC',
'flipProb': 0.04},
'demap': {'type': 'BSC',
'flipProb': 0.04},
'decoder': {'type': 'ldpc-float-bp',
'numIter': 40},
'detector': {'type': 'oracle'},
'protocol': {'type': 'one-try',
'numSymbols': 648},
'statistics': {'type': 'errors'}
}
runner = Simulator(0)
res = runner.runExperiment(experimentSpec,
numpy.random.RandomState().tomaxint(4) % 4294967295,
100)
print str(res)
def main(i, is_worst_case):
sim = Simulator(n, f, GoodPlayer, BadPlayer, is_worst_case=is_worst_case)
res_lst = sim.simulate(i)
plt.xlabel("Number of turns")
plt.ylabel("Percentage of good policies")
plt.plot(range(1, i+1), res_lst, 'o')
plt.show()
def test_SVSS_sevreal_runs():
sim = RBRandomOrderSimulator(4, 1)
players = {i: Player(sim, i, 4, 1) for i in range(1, 4 + 1)}
sim.players = players
runs = 5
def helper(i):
dealer = players[randint(1, 4)]
secret = randint(1, 40)
dealer.deal_SVSS(secret)
tag = (dealer.c, dealer.id)
return dealer, secret, tag
dealer = []
secret = []
tag = []
for i in range(runs):
data = helper(i)
dealer.append(data[0])
secret.append(data[1])
tag.append(data[2])
while sim.remaining():
sim.step()
for i in range(runs):
assert all(tag[i] in player.SVSS_val for player in players.values()), "No secret reconstructed"
assert all(player.SVSS_val[tag[i]] == secret[i] for player in players.values()), "Wrong secret reconstructed"
def runFirstErrorStatisticsTest():
experimentSpec = {
'packetGen': {'type': 'random',
'length': 256},
'code': {'type': 'spinal',
'puncturing': {'type': '8-way-v2',
'numLastCodeStep': 2},
'hash': 'one-at-a-time',
'bitsPerSymbol': 10,
'k': 4},
'map': {'type': 'linear',
'bitsPerSymbol': 10,
'precisionBits': 14},
'channel': {'type': 'AWGN',
'SNR_dB': -2},
'demap': {'type': 'null'},
'decoder': {'type': 'regular',
'beamWidth': 100,
'maxPasses': 48*8},
'detector': {'type': 'oracle'},
'protocol': {'type': 'one-try',
'numSymbols': 256*2},
'statistics': {'type': 'first-error'}
}
runner = Simulator(1)
for i in xrange(10):
res = runner.runExperiment(experimentSpec,
numpy.random.RandomState().tomaxint(4) % 4294967295,
1)
print str(res),
print
def runParallelKTest():
experimentSpec = {
'packetGen': {'type': 'random',
'length': 300},
'code': {'type': 'spinal',
'puncturing': {'type': '8-way-v2',
'numLastCodeStep': 2},
'hash': 'one-at-a-time',
'bitsPerSymbol': 10,
'k': 3},
'map': {'type': 'linear',
'bitsPerSymbol': 10,
'precisionBits': 14},
'channel': {'type': 'AWGN',
'SNR_dB': 10},
'demap': {'type': 'null'},
'decoder': {'type': 'parallel',
'alpha': 4,
'beta': 64,
'maxPasses': 48*8},
'detector': {'type': 'oracle'},
'protocol': {'type': 'sequential',
'maxPasses': 48*8},
'statistics': {'type': 'errors'}
}
runner = Simulator(1)
res = runner.runExperiment(experimentSpec,
numpy.random.RandomState().tomaxint(4) % 4294967295,
10)
print str(res)
class Game:
def __init__ (self, complexity = 8, width=1000, height=800, margin=100):
world = Landscape (terrain = [ground(margin, margin, width-margin, height-margin) for i in range(complexity)])
self.board = Simulator(world, width=width, height=height)
def play(self):
self.board.interactive()
def getScore(self, pos, it):
'''Determines how close a particle is to the optima - lower is better
'''
uavPoly = pos[:len(pos) // 2]
targetPoly = pos[len(pos) // 2:]
sim = Simulator(uavPoly, targetPoly, f"test{it}")
score = sim.runTest()
return score
def __init__(self, light_pos, type=None, net_filename=None):
self.net = None # NARX network
self.net_filename = net_filename
# network training
self.training_runs, self.training_time = None, None
self.random_movements, self.after_ga_movements = None, None
if type == 'skmlp':
self.net = narx.load_narx_mlp(net_filename)
if net_filename is not None:
start_time = time.time()
saved_net = narx.load_pyrenn(net_filename)
self.net = PyrennNarx()
self.net.set_net(saved_net)
self.training_runs = int(
re.search('\d+',
re.search('r\d+', net_filename).group(0)).group(0))
self.training_time = int(
re.search('\d+',
re.search('t\d+', net_filename).group(0)).group(0))
self.network_delay = int(
re.search('\d+',
re.search('d\d+', net_filename).group(0)).group(0))
print 'Loaded NARX from file "%s" in %ds' % (
net_filename, time.time() - start_time)
self.vehicle_training_data = None # this data will hold all the vehicles that the network will train with
self.ga_test_data = None # this data will hold all the vehicles that the GA will test the fitness from
self.pos_before_collect = None # first position of vehicle before random collection
self.ang_before_collect = None # first angle of vehicle before random collection
self.collection_vehicle_pos = [
] # all pos of collection vehicle to pass to wakeTest vehicle to show on Sim
self.pos_after_collect = None # last position of vehicle after collection (passed to GA)
self.ang_after_collect = None # last angle of vehicle after collection (passed to GA)
self.random_vehicle = None
self.brain = None # Vehicle brain assigned after GA, 6 weights
self.vehicle_first_move = None
self.predicted_pos = None
self.ga_individuals = None
self.ga_generations = None
if light_pos is None:
light_pos = [1100, 600]
self.light = Light(light_pos)
self.sim = Simulator(self.light)
self.actual_vehicle = None
self.count_cycles = 0
# vars for test_2_1
self.error_sensor_log = None # predicted sensor log
self.real_sensor_log = None # actual sensor log
def __init__(self, budget, unitPrice): Simulator.__init__(self, budget, unitPrice) self.Kp = - 100 / (budget * 0.25) self.Ki = -7 self.OUTPUT_NAME = 'output2.csv' self.INTEGRAL_OFFSET_RATIO = 0.01 self.errorIntegral = 0 # INTEGRAL 에러 누적으로 windup 방지를 위해 만듦 self.INTEGRAL_ERROR_LIMIT = 1
def __init__(self, test_flights_info, zoneOptions, npts_per_leg, flightParamsTemplate, submission_file):
self.test_flights_info = test_flights_info
self.zoneOptions = zoneOptions
self.npts_per_leg = npts_per_leg
self.submission_file = submission_file
self.flightParamsTemplate = flightParamsTemplate
print "Starting simulator..."
self.simulator = Simulator()
print "Simulator started."
class Game:
def __init__(self, complexity=8, width=1000, height=800, margin=100):
world = Landscape(terrain=[
ground(margin, margin, width - margin, height - margin)
for i in range(complexity)
])
self.board = Simulator(world, width=width, height=height)
def play(self):
self.board.interactive()
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)
def penaltyFunction(lamb, mu, numServers, simTime, numReps, maxMIPS, aggressivness):
mySim = Simulator(lam, mu, numServers, simTime, numRepsSim, maxMIPS, aggressivness)
mySim.runSimulation()
totalPenalty = 0
maxTemps = mySim.getMaxTemps()
responseTimes = mySim.getAvgResponseTime()
avgjobsinsys = mySim.getAvgJobsInSimulation()
avgUtilizations = mySim.getAvgServerUtils()
powerConsumedByServers = mySim.getPowerConsumptions()
for rep in powerConsumedByServers:
repIndex = powerConsumedByServers.index(rep)
print '*****************************************************'
print 'Log dump for rep', repIndex+1
print 'Avg avg utils: ', sum(avgUtilizations[repIndex]) / len(avgUtilizations[repIndex])
print 'Avg power consumed', sum(powerConsumedByServers[repIndex]) / len(powerConsumedByServers[repIndex])
print 'Avg Response Time', sum(responseTimes[repIndex]) / len(responseTimes[repIndex])
for i in range(0, len(rep)):
print 'Server', i, '\tUtil:', avgUtilizations[repIndex][i], '\tMax temp:', maxTemps[repIndex][i], '\t\tConsumed:', powerConsumedByServers[repIndex][i], '\tRT:', responseTimes[repIndex][i]
maxTempForRep = max(maxTemps[repIndex])
maxPowerConsForRep = max(powerConsumedByServers[repIndex])
maxUtilForRep = max(avgUtilizations[repIndex])
maxRTForRep = max(responseTimes[repIndex])
# Huge penalties for infeasible solutions
if maxTempForRep > maxTemperature:
totalPenalty += maxTempForRep
if maxUtilForRep > maxUtilization:
totalPenalty += maxUtilForRep
if maxRTForRep > maxResponseTime:
totalPenalty += maxRTForRep
# Calculate norms against the maximums for each list
# No actual use for this, penalties wouldn't make sense since the normalized scores can only be compared relative to the max...
# normMaxTemps = [float(i)/maxTempForRep for i in maxTemps[repIndex]].sort(reverse=True)
# normPowerConsumed = [float(i)/maxPowerConsForRep for i in powerConsumedByServers[repIndex]].sort(reverse=True)
# normAvgUtils = [float(i)/maxUtilForRep for i in avgUtilizations[repIndex]].sort(reverse=True)
# normResponseTimes = [float(i)/maxRTForRep for i in responseTimes[repIndex]].sort(reverse=True)
avgMaxTempForRep = sum(maxTemps[repIndex]) / len(maxTemps[repIndex])
avgPowerConsForRep = sum(powerConsumedByServers[repIndex]) / len(powerConsumedByServers[repIndex])
avgUtilForRep = sum(avgUtilizations[repIndex]) / len(avgUtilizations[repIndex])
avgRTForRep = sum(responseTimes[repIndex]) / len(responseTimes[repIndex])
for item in rep:
itemIndex = rep.index(item)
if maxTemps[repIndex][itemIndex] > avgMaxTempForRep:
totalPenalty += maxTemps[repIndex][itemIndex] - avgMaxTempForRep
if powerConsumedByServers[repIndex][itemIndex] > avgPowerConsForRep:
totalPenalty += powerConsumedByServers[repIndex][itemIndex] - avgPowerConsForRep
if avgUtilizations[repIndex][itemIndex] > avgUtilForRep:
totalPenalty += avgUtilizations[repIndex][itemIndex] - avgUtilForRep
if responseTimes[repIndex][itemIndex] > avgRTForRep:
totalPenalty += responseTimes[repIndex][itemIndex] - avgRTForRep
# ENDFOR
return totalPenalty
def doT2Number(self):
tests=[]
s=Simulator(1000,40,1)
s.genPoints()
s.genRandomLinks(40)
for i in range(10,31):
nSteps=self.MutiTimesNoGen(s,2,30,i,0.5,0.2)
print str(i) +"\t"+str(nSteps)
tests.append(nSteps)
print tests
return
def doT2P(self):
tests=[]
s=Simulator(1000,40)
s.genPoints()
s.genLinks()
for i in range(10,51):
nSteps=self.MutiTimesNoGen(s,1,20,0.5,0.01*i)
print str(i*0.01) +"\t"+str(nSteps)
tests.append(nSteps)
print tests
return
def test_net(p):
with open(p, "rb") as p:
dic = pickle.load(p)
network = dic["sim"].network
K_pl = network.K_pl
K_ep = network.K_ep
inputgen = BehavioralInput(pre_seed_loc=13, K_pl=K_pl, K_ep=K_ep)
sim = Simulator(network, inputgen)
m, f = sim.simulate()
pm.plot_main(sim, f)
pm.plot_J(sim)
def predict_ball(self, nticks=51):
self.positions = []
sim = Simulator([], self.ball, self.rules)
v1 = self.ball.position
self.positions.append(v1)
step = 1
for i in range(round(nticks / step)):
sim.tick(step=step)
self.render.add_line(v1, sim.ball.position)
v1 = sim.ball.position
self.positions.append(v1)
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)
def main():
logging.basicConfig(format=FORMAT, level=logging.WARN, filename="gamelog.txt")
# @todo: this may not be necessary in the future.
dbase = db.quick_setup()
dbase.choices.delete_many({})
dbase.games.delete_many({})
dbase.tricks.delete_many({})
print("Deleted old data. Continuing....")
sim = Simulator(GameType.PROGRESSIVE, 100000, BasicPlayer)
sim.run()
def __init__(self, sim_duration):
super().__init__()
# the simulation env
self._simulator = Simulator(sim_duration)
# dynamically get the policy agents
self._agents = []
# configure spaces
self.action_space = []
self.observation_space = []
for agent in self._agents:
pass
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 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()
def __init__(self, budget, unitPrice): Simulator.__init__(self, budget, unitPrice) self.Kp = - 100 / (budget * 0.25) self.Ki = -5 self.Kd = 10 / (unitPrice * 50) if self.budget < unitPrice * 10000: self.Kp = -100 / (budget * 0.999) self.Kd = 30 / (unitPrice * 20) self.OUTPUT_NAME = 'output3.csv' self.INTEGRAL_OFFSET_RATIO = 0.01 self.errorIntegral = 0 # INTEGRAL 에러 누적으로 windup 방지를 위해 만듦 self.INTEGRAL_ERROR_LIMIT = 1
def doT1P(self):
tests=[]
s=Simulator(1000)
s.genPoints()
#s.genLinks(10*1000)
s.genRandomLinks(10*1000)
#s.setPointType(nOrigins, nLink1, nLink2, p1, p2)
for i in range(20,101):
nSteps=self.MutiTimesNoGen(s,1,30,10,0.01*i,0.2)
print str(i*0.01) +"\t"+str(nSteps)
tests.append(nSteps)
print tests
return
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)
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)
def runItppQamLDPCTest():
experimentSpec = {
"packetGen": {"type": "random", "length": 648 * 5 / 6},
"code": {"type": "ldpc", "n": 648, "rate": (5, 6), "bitsPerSymbol": 1},
"map": {"type": "QAM", "bitsPerSymbol": 6},
"channel": {"type": "AWGN_c", "SNR_dB": 17.8},
"demap": {"type": "QAM"},
"decoder": {"type": "ldpc-float-bp", "numIter": 40},
"detector": {"type": "oracle"},
"protocol": {"type": "one-try", "numSymbols": 648 / 6},
"statistics": {"type": "errors"},
}
runner = Simulator(0)
res = runner.runExperiment(experimentSpec, numpy.random.RandomState().tomaxint(4), 100)
print str(res)
def runLTTest():
experimentSpec = {
"packetGen": {"type": "random", "length": 1000},
"code": {"type": "LT"},
"map": {"type": "QAM", "bitsPerSymbol": 6},
"channel": {"type": "AWGN_c", "SNR_dB": 17.8},
"demap": {"type": "QAM"},
"decoder": {"type": "LT", "numIter": 6},
"detector": {"type": "oracle"},
"protocol": {"type": "rate-approx", "maxSymbols": 1000, "delta": 0.97, "minSymbols": 1000 / 6},
"statistics": {"type": "errors"},
}
runner = Simulator(0)
res = runner.runExperiment(experimentSpec, numpy.random.RandomState().tomaxint(4), 10)
print str(res)
def runRaptorTest():
experimentSpec = {
"packetGen": {"type": "random", "length": 9500},
"code": {"type": "raptor"},
"map": {"type": "QAM", "bitsPerSymbol": 6},
"channel": {"type": "AWGN_c", "SNR_dB": 20},
"demap": {"type": "QAM", "useApprox": True},
"decoder": {"type": "raptor", "numIter": 40},
"detector": {"type": "oracle"},
"protocol": {"type": "rate-approx", "maxSymbols": 11500, "delta": 0.97, "minSymbols": 1280},
"statistics": {"type": "errors"},
}
runner = Simulator(2)
res = runner.runExperiment(experimentSpec, numpy.random.RandomState().tomaxint(4), 3)
print str(res)
def runBscLDPCTest():
experimentSpec = {
"packetGen": {"type": "random", "length": 648 * 2 / 3},
"code": {"type": "ldpc", "n": 648, "rate": (2, 3), "bitsPerSymbol": 1},
"map": {"type": "linear", "bitsPerSymbol": 1, "precisionBits": 1},
"channel": {"type": "BSC", "flipProb": 0.04},
"demap": {"type": "BSC", "flipProb": 0.04},
"decoder": {"type": "ldpc-float-bp", "numIter": 40},
"detector": {"type": "oracle"},
"protocol": {"type": "one-try", "numSymbols": 648},
"statistics": {"type": "errors"},
}
runner = Simulator(0)
res = runner.runExperiment(experimentSpec, numpy.random.RandomState().tomaxint(4), 100)
print str(res)
def runShortStriderTest():
experimentSpec = {
"packetGen": {"type": "random", "length": 480 * 33},
"code": {"type": "strider", "fragmentLength": 512},
"map": {"type": "null", "avgPower": 1.0},
"channel": {"type": "AWGN_c", "SNR_dB": 30},
"demap": {"type": "null"},
"decoder": {"type": "strider"},
"detector": {"type": "oracle"},
"protocol": {"type": "multiple-try", "numSymbolsList": [(1215 / 4) * i for i in xrange(1, 4 * 27 + 1)]},
"statistics": {"type": "errors"},
}
runner = Simulator(1)
res = runner.runExperiment(experimentSpec, numpy.random.RandomState().tomaxint(4), 10)
print str(res)
def runStriderFadingTest():
experimentSpec = {
"packetGen": {"type": "random", "length": 1498 * 33},
"code": {"type": "strider"},
"map": {"type": "null", "avgPower": 1.0},
"channel": {"type": "coherence-fading_c", "SNR_dB": 30, "interval": 100},
"demap": {"type": "null"},
"decoder": {"type": "strider-fading"},
"detector": {"type": "oracle"},
"protocol": {"type": "multiple-try", "numSymbolsList": [(3840 / 4) * i for i in xrange(1, 4 * 27 + 1)]},
"statistics": {"type": "errors"},
}
runner = Simulator(1)
res = runner.runExperiment(experimentSpec, numpy.random.RandomState().tomaxint(4), 10)
print str(res)
def runItppQamTurboTest():
experimentSpec = {
"packetGen": {"type": "random", "length": 1530},
"code": {"type": "turbo"},
"map": {"type": "QAM", "bitsPerSymbol": 6},
"channel": {"type": "AWGN_c", "SNR_dB": 3.2},
"demap": {"type": "QAM"},
"decoder": {"type": "regular"},
"detector": {"type": "oracle"},
"protocol": {"type": "one-try", "numSymbols": (1530 * 5 + 18) / 6},
"statistics": {"type": "errors"},
}
runner = Simulator(0)
res = runner.runExperiment(experimentSpec, numpy.random.RandomState().tomaxint(4), 100)
print str(res)