def simulate(t, d, trainingEpochs):
''' Runs the Monte Carlo simulation'''
for currentEpoch in range(trainingEpochs):
#Set experiment information in table
t.currentEpoch = currentEpoch
sim = montecarlo.Simulation(d, t)
d.SetTrump(rnd.choice(d.suits))
d.DivideCards()
t.DealCards(d)
while t.players[0].hand != []:
sim.run(d, t)
t.PlayCards(d)
winner = t.WhoWinsTrick(d)
t.testingScores.append(t.roundScore.copy())
t.SetPlayerBehaviour(
0, "Network") #Back to the original values, as sim.run changes them.
t.SetPlayerBehaviour(2, "Network")
def setUp(self):
r = random.Random(1)
self.sim = mc.Simulation(domain=[(-1, 1)] * 3, rand=r)
def setUp(self):
r = random.Random(1)
self.sim = mc.Simulation(domain=[(0, 1), (0, 1)], rand=r)
def test_2d(self):
stub = RandomStub([0.5, 0.25])
sim = mc.Simulation(domain=[(10, 20), (1, 5)], rand=stub)
self.assertEquals(40, sim.volume)
self.assertEquals([15, 2], sim.sample())
def test_1d(self):
stub = RandomStub([0.5])
sim = mc.Simulation(domain=[(10, 20)], rand=stub)
self.assertEquals(10, sim.volume)
self.assertEquals([15], sim.sample())
def test_empty(self):
sim = mc.Simulation(domain=[])
self.assertEquals(1, sim.volume)
self.assertEquals([], sim.sample())