def tunePerfConstants(klass):
# Keep going until we've spent 60s doing monte-carlo simulations.
# Then, based on that, set constants so that each run takes 1s.
perfConstants = klass(0.4, 10, 100)
ai = MatthewgAI(perfConstants=perfConstants)
gameState = GameState()
ai.cardsUnseen = {Cards.MILEAGE_100: 20}
gameState.playerNumber = 0
gameState.teams = [Team(number=0), Team(number=1)]
gameState.us = gameState.teams[0]
gameState.opponents = [gameState.teams[1]]
for i in xrange(len(gameState.teams)):
gameState.teams[i].playerNumbers = [i]
ai.gameStarted(gameState)
ai.gameState = gameState
timeToStop = time.time() + 60
iterationsCompleted = 0
while time.time() < timeToStop:
ai.resetTurnCache()
ai.monteCarloMileageSimulation()
iterationsCompleted += 1
perfConstants.monteCarloIterations = max(int(iterationsCompleted / 60),
50)
perfConstants.savePerfConstants()
return perfConstants
def makeState(self, player):
state = GameState()
state.debug = self.debug
# Pass copies, not the original objects, so the canonical ones can't
# "accidentally" get modified by the AIs
state.hand = copy(player.hand)
state.discardPile = copy(self.discardPile)
state.teams = deepcopy(self.teams)
state.us = copy(self.teams[player.teamNumber])
state.opponents = deepcopy(self.teams)
del state.opponents[(player.teamNumber)]
# Passed by value, doesn't need copying
state.target = self.target
state.cardsLeft = self.deck.cardsLeft()
state.playerCount = len(self.players)
state.playerNumber = player.number
return state