def play(self):
sys.stdout.write('Iterating')
startDeck = CardCounts({Copper.Copper():7, Estate.Estate():3})
for chrm in self.chromosomes:
sys.stdout.write('.')
sys.stdout.flush()
if chrm.gamesPlayed == self.times_to_play:
continue
who_to_play = filter((lambda x: x.gamesPlayed < self.times_to_play), self.chromosomes)
tourn = random.sample(who_to_play, 2)
tourn.insert(0, chrm)
gameType = random.choice(self.games)
players = []
for player in tourn:
players.append(GUMDRP(gameType[1], *player.genes))
gs = GameState.setup(gameType[0], startDeck, players)
numPlayers = len(gs.players);
numDepleted = 0
numMoves = 0
while (gs.stacks[Province.Province()] != 0) and numDepleted < 3 and not self.suboptimalDeck(gs, gameType[1]) and numMoves < 80:
curPlayer = gs.players[gs.turn]
gs.abcs[gs.turn] = {'actions':1, 'buys':1, 'coins':0}
gs = curPlayer.playActionPhase(gs)
bought = gs.stacks.copy()
gs = curPlayer.playBuyPhase(gs)
gs = curPlayer.playDiscardPhase(gs)
gs.turn = (gs.turn + 1) % numPlayers
numDepleted = len(filter(lambda c: gs.stacks[c] == 0, gs.stacks))
numMoves += 1
cards_left = [((gameType[1] - gs.pcards[i].allCards()).count, i) for i in xrange(numPlayers)]
cards_left.sort()
for people in cards_left:
tourn[people[1]].incr(people[0])
print ''
def evalDeck(player,
stacks,
deck,
trials=5,
coinsPerBuy=8,
aquireFilter=lambda c: True):
totalBuyingPower = 0
totalAquiredValue = 0
state = GameState.setup(stacks.copy(), deck.copy(), [player])
#print str(deck)
for t in xrange(trials):
#state = GameState.setup(deck.copy(), deck.copy(), [player])
state.abcs[0] = {'actions': 1, 'buys': 1, 'coins': 0}
#print str(state.pcards[0].hand)
aquired = state.stacks.copy()
state = state.players[0].playActionPhase(state)
aquired -= state.stacks
totalAquiredValue += sum(
[c.cost * n for c, n in aquired.items() if aquireFilter(c)])
totalCoins = state.abcs[0]['coins'] + sum(
[c.coins * n for c, n in state.pcards[0].hand.items()])
totalBuyingPower += min(state.abcs[0]['buys'] * coinsPerBuy,
totalCoins)
state = state.players[0].playDiscardPhase(state)
#print totalBuyingPower, '~\tbuys:', state.abcs[0]['buys'], '\tcoins:', totalCoins, '\taquired:', str(aquired), '\n'
return (totalBuyingPower, totalAquiredValue)
def evalDeck(player, stacks, deck, trials = 5, coinsPerBuy=8, aquireFilter = lambda c:True):
totalBuyingPower = 0
totalAquiredValue = 0
state = GameState.setup(stacks.copy(), deck.copy(), [player])
#print str(deck)
for t in xrange(trials):
#state = GameState.setup(deck.copy(), deck.copy(), [player])
state.abcs[0] = {'actions':1, 'buys':1, 'coins':0}
#print str(state.pcards[0].hand)
aquired = state.stacks.copy()
state = state.players[0].playActionPhase(state)
aquired -= state.stacks
totalAquiredValue += sum([c.cost*n for c,n in aquired.items() if aquireFilter(c)])
totalCoins = state.abcs[0]['coins'] + sum([c.coins*n for c,n in state.pcards[0].hand.items()])
totalBuyingPower += min(state.abcs[0]['buys']*coinsPerBuy, totalCoins)
state = state.players[0].playDiscardPhase(state)
#print totalBuyingPower, '~\tbuys:', state.abcs[0]['buys'], '\tcoins:', totalCoins, '\taquired:', str(aquired), '\n'
return (totalBuyingPower, totalAquiredValue)
def play(self):
sys.stdout.write('Iterating')
startDeck = CardCounts({Copper.Copper(): 7, Estate.Estate(): 3})
for chrm in self.chromosomes:
sys.stdout.write('.')
sys.stdout.flush()
if chrm.gamesPlayed == self.times_to_play:
continue
who_to_play = filter(
(lambda x: x.gamesPlayed < self.times_to_play),
self.chromosomes)
tourn = random.sample(who_to_play, 2)
tourn.insert(0, chrm)
gameType = random.choice(self.games)
players = []
for player in tourn:
players.append(GUMDRP(gameType[1], *player.genes))
gs = GameState.setup(gameType[0], startDeck, players)
numPlayers = len(gs.players)
numDepleted = 0
numMoves = 0
while (gs.stacks[Province.Province()] !=
0) and numDepleted < 3 and not self.suboptimalDeck(
gs, gameType[1]) and numMoves < 80:
curPlayer = gs.players[gs.turn]
gs.abcs[gs.turn] = {'actions': 1, 'buys': 1, 'coins': 0}
gs = curPlayer.playActionPhase(gs)
bought = gs.stacks.copy()
gs = curPlayer.playBuyPhase(gs)
gs = curPlayer.playDiscardPhase(gs)
gs.turn = (gs.turn + 1) % numPlayers
numDepleted = len(
filter(lambda c: gs.stacks[c] == 0, gs.stacks))
numMoves += 1
cards_left = [((gameType[1] - gs.pcards[i].allCards()).count, i)
for i in xrange(numPlayers)]
cards_left.sort()
for people in cards_left:
tourn[people[1]].incr(people[0])
print ''