def calc_hand_strength(self, game):
score = [0, 0]
table = game.table[:]
for i in range(0, 500):
deck = Deck()
new = 0
player1_hand = self.hand
player2_hand = deck.draw(2)
if table == []:
table = deck.draw(3)
while len(set(player1_hand + player2_hand + table)) < len(player1_hand) + len(player2_hand) + len(table):
player2_hand = deck.draw(2)
table = deck.draw(3)
new = 1
if len(player1_hand) + len(player2_hand) + len(table) == len(set(player1_hand + player2_hand + table)):
p1_score = game.evaluator.evaluate(table, player1_hand)
p2_score = game.evaluator.evaluate(table, player2_hand)
if p1_score < p2_score:
score[0] += 1
score[1] += 1
elif p2_score < p1_score:
score[1] += 1
else:
score[0] += 1
score[1] += 2
if new == 1:
table = []
strength = score[0] / score[1]
return strength
class Game():
"""
Contains a deck of cards that can be accessed by players to play
various card games.
"""
def __init__(self, bot, name='kiwi'):
self.players = []
self.name = name
self.deck = Deck()
self.visible_cards = []
self.bot = bot
self.potpies = 0
def add_player(self, player):
self.players.append(player)
def shuffle(self):
self.deck.shuffle()
self.visible_cards = []
def deal(self, ncards):
for i in range(ncards):
for p in self.players:
p.cards.append(self.deck.draw())
def flip_flop(self):
"""Create flop.
Flips over 3 cards and makes them publicly visible, as would
happen when creating the flop in Texas Hold'em.
"""
self.visible_cards += self.deck.draw(3)
def flip_cards(self, ncards=1):
"""Like flip_flop, but allows variable number of cards."""
if ncards == 1:
self.visible_cards.append(self.deck.draw(ncards))
else:
self.visible_cards += self.deck.draw(ncards)
def query_players(self):
players = '%s players: ' % self.name
for p in self.players:
players += '%s ' % p.tag
return players
def query_state(self):
info = '%s visible cards: ' % self.name
for c in self.visible_cards:
info += Card.int_to_pretty_str(c)
info += ', potpies: %d' % self.potpies
return info
def message_players(self, message):
uids = []
for p in self.players:
uids.append(p.uid)
self.bot.message_players(uids, message)
def setup(n, m):
deck = Deck()
boards = []
hands = []
for i in range(n):
boards.append(deck.draw(m))
hands.append(deck.draw(2))
deck.shuffle()
return boards, hands
def setup(n, m):
deck = Deck()
boards = []
hands = []
for i in range(n):
boards.append(deck.draw(m))
hands.append(deck.draw(2))
deck.shuffle()
return boards, hands
def is_win(hand, board, player_num):
'''
模拟一局游戏，判断自己是否获胜
:param hand:
:param board:
:param player_num:
:return: True or False
'''
# 生产一副新牌
deck = Deck()
# 去除目前自己的手牌
deck.cards.remove(hand[0])
deck.cards.remove(hand[1])
# 去除目前已知桌牌
for board_card in board:
deck.cards.remove(board_card)
# 随机获取剩余桌牌
new_board_cards = deck.draw(5 - len(board))
# 如果 （5 - len(board)） 等于 1，那么取出的会是一个int
if type(new_board_cards) == int:
new_board_cards = [new_board_cards]
# 5 张桌面牌
draw_board = board + new_board_cards
# 计算自己牌的大小，值越小牌越好
my_cards_evaluate = evaluator.evaluate(draw_board, hand)
# 最大值是7432
other_cards_evaluate = 10000
for i in range(player_num - 1):
# 为其他玩家随机发两张牌
player_cards = deck.draw(2)
# 机器玩家牌的大小
random_other_cards_evaluate = evaluator.evaluate(draw_board, player_cards)
# 更新其他玩家最大牌
if random_other_cards_evaluate < other_cards_evaluate:
other_cards_evaluate = random_other_cards_evaluate
# 如果已有一个玩家的牌大于自己，判断自己输
if other_cards_evaluate < my_cards_evaluate:
return False
# 没有玩家牌大于自己，判定自己赢
return True
def run(number):
"""
This function generates a population sample with size sample.
It also computes probabilities for each hand, considering a
frequentist approach.
Arguments:
- number (int): run ID
Returns:
- stats (str): returns a JSON formatted string containing
probabilities for each poker hand
"""
print 'starting run #{0}'.format(number)
evaluator = Evaluator()
poker_hands = defaultdict(int)
for _ in range(SAMPLE_SIZE):
deck = Deck()
p1_hand = deck.draw(5)
p1_score = evaluator.evaluate(p1_hand, [])
if p1_score == 1: # just a little hack
poker_hands['Royal Flush'] += 1
else:
p1_class = evaluator.get_rank_class(p1_score)
poker_hands[evaluator.class_to_string(p1_class)] += 1
stats = dict((k, round(float(v)/SAMPLE_SIZE, 7))
for k, v in poker_hands.items())
return json.dumps(stats)
def sample_win_probability_dumb(board,
value_to_beat,
deck,
left_to_deal,
nsamples=100):
nwins = 0
cards = deck.cards
copied_deck = Deck()
for _ in xrange(nsamples):
shuffle(cards)
copied_deck.cards = list(cards)
won = False
decided = False
best_value = value_to_beat
chosen_value = 10**10
for x in range(left_to_deal):
hand = copied_deck.draw(2)
value = evaluator.evaluate(board, hand)
if value < value_to_beat and not decided:
# have to decide whether to stay!
win_prob = chance_to_win_given_choice(board, value, deck,
left_to_deal - x - 1)
if win_prob > 0.5:
chosen_value = value
decided = True
best_value = min(best_value, value)
if chosen_value < best_value:
nwins += 1
return nwins * 1.0 / nsamples
def possibility_of_getting_burnt(board,
chosen_value,
deck,
left_to_deal,
nsamples=100):
# the only way that keeping the hand with a <50% chance of winning
# is the correct move is if there is at least some possibility that
# there will be *two* hands that beat you, and moreover they come in
# the wrong order
if left_to_deal <= 1:
# you IDIOT, of course keep your hand
return 0
nburns = 0
cards = deck.cards
copied_deck = Deck()
for _ in xrange(nsamples):
shuffle(cards)
copied_deck.cards = list(cards)
got_beat = False
value_to_beat = -1
for x in range(left_to_deal):
hand = copied_deck.draw(2)
value = evaluator.evaluate(board, hand)
if got_beat and value < value_to_beat:
nburns += 1
break
if value < chosen_value:
got_beat = True
value_to_beat = value
return nburns * 1.0 / nsamples
def run_basic_strategy_game(manual=False):
deck = Deck()
player_hand = deck.draw(3)
dealer_hand = deck.draw(3)
action_computer = decision_basic_strategy(player_hand, dealer_hand)
result_computer = determine_payout(player_hand, dealer_hand,
action_computer)
# let the user try to play (if requested). user can play after the computer
# since we are not holecarding
if manual:
print(f"\n\n\n\n===========[New Three Card Poker Hand]===========")
print(f"Player Hand: {player_hand}")
action_human = bool(int(input("0-Fold or 1-Call >>> ")))
result_human = determine_payout(player_hand, dealer_hand, action_human)
sort_hand(player_hand)
sort_hand(dealer_hand)
print(f"\n----------- Summary -----------")
print(f"Player Hand: {player_hand}")
print(f"Dealer Hand: {dealer_hand}")
print(f"Computer's Decision: {action_string(action_computer)}")
print(
f"Result: Computer got {result_computer} units and you got {result_human} units"
)
return (result_computer, result_human)
return result_computer
def is_good(board_cards=[], hand_cards=['AH', 'KD']):
if (len(board_cards) + len(hand_cards) == 0):
return False
board = []
for x in board_cards:
c = Card.new('{0}{1}'.format(x[0], x[1].lower()))
board.append(c)
hand = []
for x in hand_cards:
c = Card.new('{0}{1}'.format(x[0], x[1].lower()))
hand.append(c)
evaluator = Evaluator()
deck = Deck()
random_cards = deck.draw(5 - len(board) - len(hand))
score = evaluator.evaluate(board + random_cards, hand)
rank_class = evaluator.get_rank_class(score)
print_cards(board + random_cards + hand, rank_class)
if (rank_class < 9):
return True
return False
def cross_over_aux(self,chromosome1,chromosome2,position):
cross_over = 0
crossed = False
deck = Deck()
hand = deck.draw(5)
new_chromosome = Player(hand)
for gene in range(NUMBER_OF_PLAYERS-1):
if (not(crossed)):
if (position == cross_over):
crossed = True
#Mutation
random_mutation = random.randint(0,100)
if (0 < random_mutation <= MUTATION_PROBABILITY*100):
mutated = self.mutate()
new_chromosome.hand[cross_over] = mutated
# new_chromosome.hand[cross_over] = chromosome1.hand[cross_over]
else:
new_chromosome.hand[cross_over] = chromosome1.hand[cross_over]
else:
#Mutation
random_mutation = random.randint(0,100)
if (0 < random_mutation <= MUTATION_PROBABILITY*100):
mutated = self.mutate()
new_chromosome.hand[cross_over] = mutated
# new_chromosome.hand[cross_over] = chromosome1.hand[cross_over]
else:
new_chromosome.hand[cross_over] = chromosome2.hand[cross_over]
cross_over += 1
return new_chromosome
class Table:
'''
Creates a poker table containing the deck, and a means to store the cards.
'''
def __init__(self):
self.deck = Deck()
self.cards = []
self.pot = 0
self.ante = 0
'''
Adds a card to the cards on the table.
'''
def addCard(self, card):
self.cards.append(card)
'''
Adds to the current pot on the table.
'''
def addToPot(self, amt):
self.pot += amt
'''
Gets the current pot.
'''
def getPot(self):
return self.pot
'''
Gets the community cards on the table.
'''
def getCards(self):
return self.cards
'''
Draws from the deck.
'''
def draw(self):
return self.deck.draw()
def setAnte(self, ante):
self.ante = ante
def getAnte(self):
return self.ante
'''
Resets the table.
'''
def reset(self):
self.deck.shuffle()
del self.cards[:]
self.ante = 0
self.pot = 0
def run_holecarding_strategy_game(manual=False):
deck = Deck()
player_hand = deck.draw(3)
dealer_hand = deck.draw(3)
dealer_holecard = dealer_hand[0]
# now the computer can play out the hand (and possibly sort dealer's hand)
action_computer = decision_holecarding(player_hand, dealer_hand)
result_computer = determine_payout(player_hand, dealer_hand,
action_computer)
# print hand summary
if manual:
print(f"\n\n\n\n===========[New Three Card Poker Hand]===========")
print(f"Player Hand: {player_hand}")
print(f"Dealer's Holecard: {dealer_holecard}")
action_human = bool(int(input("0-Fold or 1-Call >>> ")))
result_human = determine_payout(player_hand, dealer_hand, action_human)
sort_hand(player_hand)
sort_hand(dealer_hand)
print(f"\n----------- Summary -----------")
print(f"Player Hand: {player_hand}")
print(f"Dealer Hand: {dealer_hand}")
print(f"Computer's Decision: {action_string(action_computer)}")
print(
f"Result: Computer got {result_computer} units and you got {result_human} units"
)
return (result_computer, result_human)
return result_computer
def sample_win_probability(board,
value_to_beat,
deck,
left_to_deal,
nsamples=50):
pwin = 0.
cards = deck.cards
copied_deck = Deck()
for _ in xrange(nsamples):
shuffle(cards)
copied_deck.cards = list(cards)
new_hand = copied_deck.draw(2)
value = evaluator.evaluate(board, new_hand)
if value > value_to_beat:
# the new hand is worse, so no decision to be made
if left_to_deal > 1:
# just burn the cards and keep going
pwin += sample_win_probability(board, value_to_beat,
copied_deck, left_to_deal - 1)
elif left_to_deal == 1:
# this was our last chance, we lost
pwin += 0
else:
if left_to_deal == 1:
# this was our last hand. We won!
pwin += 1
else:
# we have a choice. What do we do??
prob_if_stayed, prob_burn = chance_to_win_given_choice(
board,
value,
copied_deck,
left_to_deal - 1,
return_burns=True)
# we have the inequality
# P(there is a better hand) - P(you get "burnt")
# < P(win if you pass) < P(there is a better hand)
# also,
# P(there is a better hand) = 1 - P(win if you stay)
# If P(win if you pass) < P(win if you stay) then you should stay
# and if P(win if you pass) > P(win if you stay) then you should continue
if prob_if_stayed > 0.5:
# definitely should stay
pwin += prob_if_stayed
continue
if prob_burn <= 0.1:
# if burns are pretty rare, then let's just say that
# the win probability is well approximated by the
# "dumb" strategy.
prob_if_passed = sample_win_probability_dumb(
board, value, copied_deck, left_to_deal - 1)
else:
prob_if_passed = sample_win_probability(
board, value, copied_deck, left_to_deal - 1)
pwin += max(prob_if_stayed, prob_if_passed)
return pwin * 1. / nsamples
def setup(n, m):
_hands = []
_boards = []
for i in range(n):
deck = Deck()
hand = []
board = []
for j in range(2):
hand.append(deck.draw())
for j in range(m):
board.append(deck.draw())
_hands.append(hand)
_boards.append(board)
return _boards, _hands
def callAI(self, state): #CHANGE THIS FUNCTION. NEVER REFERENCE OTHER PLAYER'S CARDS. You are not allowed to cheat! (obviously) e.g. If we see curState.players[x].curHand, that's unacceptable. MAX_SCORE= 7462 score = 0 # we evaluate the score of the current situation and based on the estimated score, pick an acion # We randomly generate the board N times and get the average score N = 5 i = 0 if curState.curStage == "river": score = score + evaluator.evaluate(curState.board, self.curHand) else: while i < N: my_deck = Deck() my_board = my_deck.draw(0) if curState.curStage == "preflop": exclude = copy.deepcopy(self.curHand) my_board = self.draw(5, exclude, my_deck) elif curState.curStage == "flop": exclude = copy.deepcopy(self.curHand) + copy.deepcopy(curState.board) my_board = curState.board + self.draw(2, exclude, my_deck) elif curState.curStage == "turn": exclude = copy.deepcopy(self.curHand) + copy.deepcopy(curState.board) my_board = curState.board + self.draw(1, exclude, my_deck) score = score + evaluator.evaluate(self.curHand, my_board) i = i + 1 score = score / N #raiseAmount = random.randint(0, 100) #maxbid = max(raiseAmount, random.randint(0, 100)) #if maxbid > self.money: #do not remove # maxbid = self.money #if raiseAmount > self.money: #do not remove # raiseAmount = self.money #possibleActions = ["check", ["raise", raiseAmount]] #can only check or raise, since only one action is processed. Fold if max bid is lower than the biggest raise. #There are 7462 scores in total (smaller is better). We choose an action based on the estimated score if score > MAX_SCORE * 9 / 10: # the score is too high, choose fold raiseAmount = 0 action = ["raise", 0] maxbid = 0 # maxbid = 0, means fold elif score > MAX_SCORE / 2: action = ["check"] maxbid = 0 else: raiseAmount = random.randint(0, self.money * (1 - score / MAX_SCORE) / 2) maxbid = max(raiseAmount, random.randint(0, self.money * (1 - score / MAX_SCORE)) ) action = ["raise",raiseAmount ] return [ action, maxbid ]
def fast_eval(hole_card, public_card, players=9, simulations=1000):
for i in range(0, len(hole_card)):
hole_card[i] = Card.new(conv(hole_card[i]))
for i in range(0, len(public_card)):
public_card[i] = Card.new(conv(public_card[i]))
win_rate = 0
evaluator = Evaluator()
for _ in range(simulations):
deck = Deck()
for c in hole_card:
deck.cards.remove(c)
for c in public_card:
deck.cards.remove(c)
player_hands = []
for _ in range(players):
player_hands.append(deck.draw(2))
board = []
board.extend(public_card)
if 5 - len(public_card) == 1:
board.append(deck.draw(1))
else:
board.extend(deck.draw(5 - len(public_card)))
flag = True
num = 0
for p in player_hands:
if evaluator.evaluate(board, p) < evaluator.evaluate(
board, hole_card):
flag = False
break
elif evaluator.evaluate(board, p) > evaluator.evaluate(
board, hole_card):
flag = False
win_rate += 1
break
else:
num += 1
if flag:
win_rate += 1.0 / num
return 1.0 * win_rate / simulations
def get_score_by_simulate(board_cards, hand_cards, iteration=5):
try:
score_min = 10000 # deuces evaluate score, the small, the better
board = []
for x in board_cards:
x = x.encode('ascii', 'ignore')
c = Card.new('{0}{1}'.format(x[0], x[1].lower()))
board.append(c)
hand = []
for x in hand_cards:
x = x.encode('ascii', 'ignore')
c = Card.new('{0}{1}'.format(x[0], x[1].lower()))
hand.append(c)
if (len(hand) + len(board) < 5):
score_list = []
for i in range(iteration):
evaluator = Evaluator()
deck = Deck()
random_cards = deck.draw(5 - len(board) - len(hand))
if (isinstance(random_cards, int)):
random_cards = [random_cards]
score = evaluator.evaluate(board + random_cards, hand)
score_list.append(score)
score_list.remove(max(score_list))
score_list.remove(min(score_list))
return sum(score_list) / float(len(score_list))
else:
for board_five_match in combinations(board, 5 - len(hand)):
evaluator = Evaluator()
score = evaluator.evaluate(tuple(board_five_match),
tuple(hand))
if (score < score_min):
score_min = score
return score_min
except Exception as e:
traceback.print_exc()
printtolog('EXCEPTION={0}'.format(e))
return score_min
def calc_hand_strength(self, game):
score = [0, 0]
for i in range(0, 1000):
deck = Deck()
player1_hand = self.hand
player2_hand = deck.draw(2)
if len(list(set(player1_hand + game.table).intersection(player2_hand))) == 0:
p1_score = game.evaluator.evaluate(game.table, player1_hand)
p2_score = game.evaluator.evaluate(game.table, player2_hand)
if p1_score < p2_score:
score[0] += 1
score[1] += 1
elif p2_score < p1_score:
score[1] += 1
else:
score[0] += 1
score[1] += 2
strength = score[0] / score[1]
return strength
def main():
deck = Deck()
board = deck.draw(5)
solution = Solution()
currentPopulation = 0
#Generate initial population
#Add the new population to the solution
population = initial_population(NUMBER_OF_PLAYERS,deck)
init_pop = Population(population, currentPopulation+1)
solution.add_population(init_pop)
while (currentPopulation < 10):
# select chromosomes from the current population to apply cross_over and mutation
solution.populations[currentPopulation].select_random_chromosomes()
#Cross over and mutation
new_population = solution.populations[currentPopulation].cross_over()
currentPopulation += 1
pop = Population(new_population, currentPopulation+1)
solution.add_population(pop)
print (solution)
def __init__(self, checkpoint_dir):
with open(checkpoint_dir + "encode_config.yaml", 'r') as yaml_file:
self.encoding_config = yaml.load(yaml_file, Loader=yaml.FullLoader)
all_card_rank_values = np.array([x for x in range(14)]).reshape(14, 1)
# All possible suit values (0 - 4 inclusive)
# + 9 - used for board cards when they have not been dealt
all_card_suit_values = np.array([0, 1, 2, 4, 8]).reshape(5, 1)
self.rank_enc = OneHotEncoder(handle_unknown='error',
categories='auto')
self.rank_enc.fit(all_card_rank_values)
self.suit_enc = OneHotEncoder(handle_unknown='error',
categories='auto')
self.suit_enc.fit(all_card_suit_values)
deck = Deck()
all_card_raw_values = deck.draw(52)
all_card_raw_values.sort()
all_card_raw_values = np.array(all_card_raw_values).reshape(52, 1)
self.raw_card_enc = OneHotEncoder(handle_unknown='error',
categories='auto')
self.raw_card_enc.fit(all_card_raw_values)
# Put in dummy variables for undealt cards
self.table_card_ranks = [0 for x in range(5)]
self.table_card_suits = [0 for x in range(5)]
self.evaluator = Evaluator()
self.min_max_scaling = lambda a, b, min_x, max_x, x: a + (
(x - min_x) * (b - a)) / (max_x - min_x)
self.preflop_suited_array = np.loadtxt(
"./preflop_odds/suited_pair_scores.csv", delimiter=',')
self.preflop_unsuited_array = np.loadtxt(
"./preflop_odds/unsuited_pair_scores.csv", delimiter=',')
self.normalise_preflop_arrays()
def get_score_by_simulate(hand, board, iteration=100):
if(len(hand)+len(board)<=5):
score_list = []
for i in range(iteration):
evaluator = Evaluator()
deck = Deck()
random_cards = deck.draw(5-len(board)-len(hand))
score = evaluator.evaluate(board+random_cards, hand)
score_list.append(score)
score_list.remove(max(score_list))
score_list.remove(min(score_list))
return sum(score_list)/float(len(score_list))
else:
score_min = 9999999
for board_five_match in combinations(board,5-len(hand)):
evaluator = Evaluator()
score = evaluator.evaluate(tuple(board_five_match), tuple(hand))
if(score<score_min):
score_min=score
return score_min
def rank(evaluator, holeCards, boardCards):
deck = Deck()
allCards = holeCards.union(boardCards)
while len(allCards) < 9:
card = deck.draw(1)
if len(allCards) != len(allCards.union([card])):
allCards.add(card)
boardCards.add(card)
all2CardCombos = itertools.combinations(holeCards,2)
all3CardCombos = itertools.combinations(boardCards,3)
min_rank = 10000
for handCombo in all2CardCombos:
for boardCombo in all3CardCombos:
rank = evaluator.evaluate(boardCombo, handCombo)
if rank < min_rank:
min_rank = rank
return min_rank
def chance_to_win_given_choice(board,
chosen_value,
deck,
left_to_deal,
nsamples=100,
return_burns=False):
if left_to_deal == 0:
if return_burns:
return (1., 0.)
return 1.
nwins = 0
nburns = 0
cards = deck.cards
copied_deck = Deck()
for _ in xrange(nsamples):
shuffle(cards)
copied_deck.cards = list(cards)
won = True
burnt = False
value_to_beat = -1
for x in range(left_to_deal):
hand = copied_deck.draw(2)
value = evaluator.evaluate(board, hand)
if not won and value < value_to_beat:
burnt = True
break
if value < chosen_value:
won = False
value_to_beat = value
if won:
nwins += 1
if burnt:
nburns += 1
if return_burns:
return (nwins * 1.0 / nsamples, nburns * 1.0 / nsamples)
return nwins * 1.0 / nsamples
# Main training loop
# The program will conduct no_rounds training rounds, and then check if the file "quit" is present in
# the same folder as this script
# Note that bot 1 is treated as "player" and bot 2 is treated as the opponent
gs = Game_State()
learning_rate = 0.0001
#epsilon = 0.20
no_training_rounds = 100000
no_completed_epochs = 0
while True:
for training_round in range(no_training_rounds):
# Start new round and deal cards
gs.clear_state()
deck = Deck()
gs.set_player_cards(deck.draw(2))
gs.set_opponent_cards(deck.draw(2))
gs.set_flop(deck.draw(3))
pot = 0.0
player_turn = training_round % 2 # Player 1 starts if 0, otherwise player 2 starts
# Go through betting
visited_action_states_1 = []
visited_action_states_2 = []
intermediate_payoffs_1 = []
intermediate_payoffs_2 = []
player_1_fold_f = False # Flag for keeping track of if player 1 has folded
player_2_fold_f = False # Flag for keeping track of if player 2 has folded
raise_f = False # Flag for keeping track of if any subsequent "bets" are in fact raises
while gs.get_possible_actions():
if player_turn == 0:
class PokerMon(PokerBot):
def __init__(self, preflop_tight_loose_threshold, aggresive_passive_threshold, bet_tolerance):
self.preflop_tight_loose_threshold = preflop_tight_loose_threshold
self.aggresive_passive_threshold = aggresive_passive_threshold
self.bet_tolerance = bet_tolerance
# deuces
self.evaluator = Evaluator()
self.deck = Deck()
def game_over(self, isWin, winChips, data):
print "Game Over"
def dealer(self, n, used = []):
# draw n cards not in used
cards = []
for i in range(n):
while True:
c = self.deck.draw(1)
if c not in used:
break
cards.append(c)
return cards
def combat_power(self, hole, board_input, ppl, max_time = 1):
Card.print_pretty_cards(hole+board_input)
count = 0
count_win = 0
b_len = len(board_input)
t_start = time.time()
while True:
self.deck.shuffle()
board = board_input + self.dealer(5-b_len, hole+board_input)
rank_my = self.evaluator.evaluate(hole, board)
b_win = True
player = []
rank = []
for i in range(ppl-1):
player.append(self.dealer(2, hole+board))
rank.append(self.evaluator.evaluate(player[i], board))
if rank_my > rank[i]:
b_win = False
if b_win:
count_win += 1
count += 1
t_end = time.time()
if t_end - t_start > max_time:
break
return float(count_win)/float(count)
def declareAction(self, hole, board, round, my_Raise_Bet, my_Call_Bet, Table_Bet, number_players, raise_count, bet_count, my_Chips, total_bet, players):
out = []
for i in players:
if i['folded'] or not i['isSurvive']:
out.append(i['playerName'])
o_l = len(out)
ppl = number_players
if o_l > 0:
print "Folders & Deads: {}".format(', '.join(out))
ppl -= o_l
if round == 'Deal':
win_rate = self.combat_power(hole, [], 2)
else:
win_rate = self.combat_power(hole, board, ppl)
print "Round:{}, Players:{}, WinRate:{}".format(round, ppl, win_rate)
if round == 'Deal':
if win_rate >= 0.50:
action = 'check'
amount = 0
else:
action = 'fold'
amount = 0
else:
if win_rate >= 0.90:
action = 'raise'
amount = my_Chips
elif win_rate >= 0.80:
action = 'raise'
amount = my_Raise_Bet
elif win_rate >= 0.70:
action = 'call'
amount = my_Call_Bet
elif win_rate >= 0.50:
action = 'check'
amount = 0
else:
action = 'fold'
amount = 0
return action, amount
i = 0
while len(players) > 1:
print "-----------------"
print ""
i += 1
curState.pot = 0
#ante
for player in curState.players:
ante = min(player.money, 50)
player.money -= ante
curState.pot += ante
#prepare board and deck
deck = Deck()
deck.shuffle()
curState.board = deck.draw(0)
for player in curState.players:
player.curHand = []
player.curHand = deck.draw(2)
#create players for this round
curState.curPlayers = curState.players[:]
#go through betting stages
for stage in range(0, len(curState.stages)):
curState.curStage = curState.stages[stage]
if curState.curStage == "flop":
deal(3)
elif curState.curStage == "turn":
deal(1)
elif curState.curStage == "river":
deal(1)
bet()
def generate_odds():
card_ints = [i for i in range(13)]
pair_combos = combinations_with_replacement(card_ints, 2)
eval = Evaluator()
pair_scores = np.zeros(shape=(13, 13))
pair_suits = [8, 8]
for x in pair_combos:
deck = Deck()
deck_match_idxs = []
hero_cards = [None, None]
if x[0] == x[1]:
continue
# Find cards in deck
for deck_idx, card in enumerate(deck.cards):
if x[0] == Card.get_rank_int(card) and pair_suits[0] == Card.get_suit_int(card):
hero_cards[0] = card
deck_match_idxs.append(deck_idx)
if x[1] == Card.get_rank_int(card) and pair_suits[1] == Card.get_suit_int(card):
hero_cards[1] = card
deck_match_idxs.append(deck_idx)
# Remove hero cards from deck
deck.cards = [i for idx, i in enumerate(deck.cards) if idx not in deck_match_idxs]
# Repeat x times
num_wins = 0
num_losses = 0
while num_wins + num_losses < 10000:
# Draw villan cards
villan_cards = deck.draw(2)
# Draw five card board
board = deck.draw(5)
# Find winner
hero_rank = eval.evaluate(hero_cards, board)
villan_rank = eval.evaluate(villan_cards, board)
if hero_rank < villan_rank:
num_wins += 1
elif hero_rank > villan_rank:
num_losses += 1
else:
None
# Put villan and board cards back into deck
deck.cards.extend(villan_cards)
deck.cards.extend(board)
# Shuffle deck for next draw
shuffle(deck.cards)
pair_scores[x[0], x[1]] = num_wins / (num_wins + num_losses)
pair_scores[x[1], x[0]] = num_wins / (num_wins + num_losses)
np.savetxt('./suited_pair_scores.csv', pair_scores, delimiter=',', fmt='%5f')
print(pair_scores)
class Game:
def __init__(self, player_list, chips, blinds):
self.player_list = player_list
self.player_num = len(player_list)
#self.hands = [[] for i in range(len(player_list))]
self.deck = Deck()
self.evaluator = Evaluator()
self.blinds = blinds
self.chips = chips
self.pot = [0 for x in range(0,self.player_num)]
self.table_chips = 0
self.raise_counter = 0
self.table = []
self.strengths =[[], []]
def dealCards(self):
for i in range(0, self.player_num):
self.player_list[i].hand = self.deck.draw(2)
Card.print_pretty_cards(self.player_list[i].hand)
def resetChips(self):
for i in range(0, self.player_num):
self.player_list[i].chips = self.chips
self.player_list[i].resetBets
def shuffleCards(self):
self.deck = Deck()
def clearTableChips(self):
self.table_chips = 0
def resetPot(self):
self.pot = 0
def rounds(self, round_num):
if round_num == 1:
print("The Flop")
self.table += self.deck.draw(3)
elif round_num == 2:
print("The Turn")
self.table += [self.deck.draw(1)]
elif round_num == 3:
print("The River")
self.table += [self.deck.draw(1)]
else:
print("Showdown")
Card.print_pretty_cards(self.table)
for i in range(len(self.player_list)):
self.strengths[i].append(self.player_list[i].calc_hand_strength(self))
#returns list of players remaining in hand in order of hand strength
def handRank(self):
scores = []
for i in range(0, self.player_num):
if self.player_list[i].folded == False:
strength = self.evaluator.evaluate(self.table, self.player_list[i].hand)
scores.append([i, strength])
print self.player_list[i].name + ": " + self.evaluator.class_to_string(self.evaluator.get_rank_class(strength))
Card.print_pretty_cards(self.player_list[i].hand)
scores = sorted(scores,key=itemgetter(1))
groups = groupby(scores, itemgetter(1))
result = [[item[0] for item in data] for (key, data) in groups]
for i in result[0]:
print self.player_list[i].name + " wins!"
return result
def play(self):
# Gameplay is initilalized
self.resetChips()
# Position of dealer at the beginning
dealer = 0
while True:
self.shuffleCards()
self.pot = [0 for x in range(0,self.player_num)]
self.table_chips = 0
self.raise_counter = 0
self.table = []
self.strengths =[[], []]
counter = 0
for i in range(self.player_num):
if self.player_list[i].chips <= 0:
counter += 1
else:
self.player_list[i].folded = False
if counter == self.player_num - 1:
print "Game Over"
break
print "Next Round"
self.player_list = np.roll(self.player_list, 1)
min_bet = 0
# Round starts
# People are dealt cards at the start of the round
self.dealCards()
# Small and Big blinds are put on the table
self.player_list[(dealer + 1) % self.player_num].chips -= self.blinds[0]
#self.player_list[(dealer + 1) % self.player_num].current_bet = self.blinds[0]
print(self.player_list[(dealer + 1) % self.player_num].name + " pays small blind of " + str(self.blinds[0]))
self.pot[(dealer + 1) % self.player_num] = self.blinds[0]
self.player_list[(dealer + 2) % self.player_num].chips -= self.blinds[1]
#self.player_list[(dealer + 2) % self.player_num].current_bet = self.blinds[1]
print(self.player_list[(dealer + 2) % self.player_num].name + " pays big blind of " + str(self.blinds[1]))
self.pot[(dealer + 2) % self.player_num] = self.blinds[1]
#self.table_chips += self.blinds[1] + self.blinds[0]
min_bet = self.blinds[1]
people_in = self.player_num
turn = 0
# Rounds of betting
for j in xrange(0, 4):
raise_counter = -10
place = dealer + 2
raise_const = 1
counter = 0
for i in range(self.player_num):
if self.player_list[i].chips > 0:
counter += 1
while raise_counter != min_bet:
raise_counter = min_bet
for i in xrange(place + 1, place + people_in + raise_const):
if self.player_list[i % people_in].folded == True or self.player_list[i % people_in].chips == 0 or counter == 1:
continue
print("Current bet: " + str(min_bet))
self.player_list[i % people_in].printName()
amount_bet = self.player_list[i % people_in].bet(min_bet,self.pot[i % people_in])
#still have to verify correct bet
self.pot[i % people_in] += amount_bet
tot = self.pot[i % people_in]
'''
self.table_chips += amount_bet
tot = amount_bet + self.player_list[i % people_in].current_bet
self.player_list[i % self.player_num].current_bet += amount_bet
print(self.player_list[i % people_in].chips)
'''
if min_bet < tot:
min_bet = tot
place = i
raise_const = 0
break
#self.pot += self.table_chips
#self.clearTableChips()
#for i in xrange(0, self.player_num):
# self.player_list[i].resetBets()
turn += 1
self.rounds(turn)
#distribute chips to winner(s)
print self.strengths
handRank = self.handRank()
#print repr(handRank) + '\n'
for winner in handRank:
#print repr(winner) + '\n'
#for tied winners, sort by the amount they've bet (least first)
winner.sort(key = lambda x: self.pot[x])
#loop over tied winners, resolve smaller sidepots first
for i in range(0,len(winner)):
#loop over pot and grab their bet size from every other player
amount_bet = self.pot[winner[i]]
chips_won = 0
for j in range(0,len(self.pot)):
if self.pot[j] > amount_bet:
self.pot[j] -= amount_bet
chips_won += amount_bet
else:
chips_won += self.pot[j]
self.pot[j] = 0
#split chips proportionally among players that bet enough for this pot
for j in range(i,len(winner)):
self.player_list[winner[j]].chips += int(chips_won*(1/(len(winner)-i)))
#print "player %d won %d chips \n" % (winner[j],chips_won*(1/(len(winner)-i)))
print "Player %s won %d chips" % (self.player_list[winner[j]].name,chips_won*(1/(len(winner)-i)))
for i in range(self.player_num):
print self.player_list[i].chips
print "\n"
import argparse
import time
from deuces import Card, Deck, Evaluator
if __name__ == '__main__':
parser = argparse.ArgumentParser()
parser.add_argument('-i', help='iteration')
parser.add_argument('-n', help='number_hash_bins')
i = int(parser.parse_args().i)
N = int(parser.parse_args().n)
start_time = time.time()
for _ in range(100):
board = None
while board == None:
deck = Deck()
b = deck.draw(5)
if hash(str(b)) % N == i:
board = b
print(
"Average time to find a board hash match is %f seconds using %s bins" %
((time.time() - start_time) / 100., N))
def mutate(self):
deck = Deck()
card = deck.draw()
return card
class Game:
def __init__(self, player_list, chips, blinds, num_hands=100):
self.player_list = player_list
self.player_num = 2
self.num_hands = num_hands
self.deck = Deck()
self.evaluator = Evaluator()
self.blinds = blinds
self.chips = chips
self.pot = [0 for x in range(0, 2)]
self.table_chips = 0
self.raise_counter = 0
self.table = []
self.bet_round = 0
self.strengths =[[], []]
self.last_bets = [None,None]
self.times = dict([('main',{'total':0,'count':0}),('strength',{'total':0,'count':0})]+[(player.name,{'total':0,'count':0}) for player in player_list])
# Function for dealing cards to every player
def dealCards(self):
for i in range(2):
self.player_list[i].hand = self.deck.draw(2)
print self.player_list[i].name
Card.print_pretty_cards(self.player_list[i].hand)
# Reset player chip amounts and bets
def resetChips(self):
for i in range(2):
self.player_list[i].chips = self.chips
self.player_list[i].resetBets
# Shuffle deck
def shuffleCards(self):
self.deck = Deck()
# Clear chips off table
def clearTableChips(self):
self.table_chips = 0
# Reset the pot to 0
def resetPot(self):
self.pot = 0
# Reset every player's flag that indicates folding
def resetFolds(self):
for player in self.player_list:
player.folded = False
# Adds one card to the table and prints cards each time the round ends
def rounds(self):
round_num = self.bet_round
if round_num == 1:
print("The Flop")
self.table += self.deck.draw(3)
elif round_num == 2:
print("The Turn")
self.table += [self.deck.draw(1)]
elif round_num == 3:
print("The River")
self.table += [self.deck.draw(1)]
else:
print("Showdown")
Card.print_pretty_cards(self.table)
for i in range(2):
self.strengths[i].append(self.player_list[i].calc_hand_strength(self))
#returns list of players remaining in hand in order of hand strength
def handRank(self):
scores = []
for i in range(2):
if self.player_list[i].folded == False:
strength = self.evaluator.evaluate(self.table, self.player_list[i].hand)
scores.append([i, strength])
print self.player_list[i].name + ": " + self.evaluator.class_to_string(self.evaluator.get_rank_class(strength))
Card.print_pretty_cards(self.player_list[i].hand)
scores = sorted(scores,key=itemgetter(1))
groups = groupby(scores, itemgetter(1))
result = [[item[0] for item in data] for (key, data) in groups]
for i in result[0]:
print self.player_list[i].name + " wins!"
return result
def distribute_chips(self, order=0):
#keep track of winnings for each player so we can pass it to bots
winnings = self.player_num*[0]
if order == 0:
handRank = self.handRank()
else:
handRank = order
if self.player_list[0].folded == False and self.player_list[1].folded == False:
if self.pot[0] > self.pot[1]:
self.player_list[0].chips += self.pot[0] - self.pot[1]
self.pot = [min(self.pot), min(self.pot)]
elif self.pot[0] < self.pot[1]:
self.player_list[1].chips += self.pot[1] - self.pot[0]
self.pot = [min(self.pot), min(self.pot)]
#print repr(handRank) + '\n'
if len(handRank[0]) ==1:
print "Player %s won %d chips" % (self.player_list[handRank[0][0]].name,self.pot[handRank[1][0]])
self.player_list[handRank[0][0]].chips += sum(self.pot)
winnings[handRank[0][0]] = self.pot[handRank[1][0]]
print "Player %s lost %d chips" % (self.player_list[handRank[1][0]].name,self.pot[handRank[1][0]])
#self.player_list[handRank[1][0]].chips -= self.pot[handRank[1][0]]
winnings[handRank[1][0]] = -self.pot[handRank[1][0]]
else:
print "Player %s won %d chips" % (self.player_list[handRank[0][0]].name,0)
print "Player %s won %d chips" % (self.player_list[handRank[0][1]].name,0)
self.player_list[0].chips += self.pot[0]
self.player_list[1].chips += self.pot[1]
for i in range(2):
print self.player_list[i].name + ': ' + str(self.player_list[i].chips)
print "\n"
for j,i in enumerate(self.player_list):
i.end_round(self, winnings[j])
# Starts one game of poker
def play(self):
t1 = time.time()
# Gameplay is initilalized
self.resetChips()
# Position of dealer at the beginning
dealer = 0
for num_hand in range(self.num_hands):
self.shuffleCards()
self.pot = [0 for x in range(2)]
self.table_chips = 0
self.raise_counter = 0
self.table = []
self.strengths =[[], []]
counter = 0
for i in range(2):
if self.player_list[i].chips > 0:
self.player_list[i].folded = False
else:
self.player_list[i].folded = True
if self.player_list[0].folded == True or self.player_list[1].folded == True:
print "Game Over"
for j,i in enumerate(self.player_list):
if isinstance(i, Bot):
i.end()
break
for j,i in enumerate(test.player_list):
if isinstance(i, rl_bot.RLBot):
i.learner.round = 0
print "Next Round"
self.player_list = np.roll(self.player_list, 1)
self.last_bets = np.roll(self.last_bets,1)
# Round starts
# People are dealt cards at the start of the round
self.dealCards()
# Small and Big blinds are put on the table
print(self.player_list[(dealer + 1) % 2].name + " pays small blind of " + str(self.blinds[0]))
self.player_list[(dealer + 1) % 2].chips -= self.blinds[0]
self.pot[(dealer + 1) % 2] = self.blinds[0]
print(self.player_list[dealer % 2].name + " pays big blind of " + str(self.blinds[1]))
self.pot[dealer % 2] = min([self.player_list[dealer % 2].chips,self.blinds[1]])
self.player_list[dealer % 2].chips -= min([self.player_list[dealer % 2].chips,self.blinds[1]])
min_bet = self.blinds[1]
self.bet_round = 0
# Rounds of betting
for j in range(4):
raise_counter = -10
raise_const = 1
counter = 0
if self.player_list[0].folded == True:
self.distribute_chips([[1],[0]])
break
elif self.player_list[1].folded == True:
self.distribute_chips([[0],[1]])
break
for i in range(2):
if self.player_list[i].chips > 0:
counter += 1
while raise_counter != min_bet:
raise_counter = min_bet
for i in xrange(dealer + 1, dealer + 2 + raise_const):
if self.player_list[i % 2].folded == True or self.player_list[i % 2].chips == 0 or counter == 1:
continue
print("Current bet: " + str(min_bet))
self.player_list[i % 2].printName()
#track amount of time for player
t2 = time.time()
amount_bet = self.player_list[i % 2].bet(min_bet, self.pot[i % 2], self.times, self)
self.times[self.player_list[i % 2].name]['count'] += 1
self.times[self.player_list[i % 2].name]['total'] += time.time() - t2
self.last_bets[i % 2] = amount_bet
if self.player_list[0].folded == True or self.player_list[1].folded == True :
break
#still have to verify correct bet
self.pot[i % 2] += amount_bet
self.player_list[i%2].chips -= amount_bet
if min_bet < self.pot[i % 2]:
min_bet = self.pot[i % 2]
dealer = i
raise_const = 0
break
self.bet_round += 1
self.rounds()
#distribute chips to winner(s)
if self.player_list[0].folded == False and self.player_list[1].folded == False:
self.distribute_chips()
self.resetFolds()
#update times
self.times['main']['count'] += 1
self.times['main']['total'] += time.time() - t1
class Table:
def __init__(self, players_list):
self.hand_idx = 0
self.current_pot = 0
self.current_bet = 0
self.players = players_list
self.total_chips = sum([p.stack for p in self.players])
self.d_chip_pos = 0
self.stage = None
self.big_blind = 200
self.small_blind = 100
self.ante = 100
self.deck = Deck()
self.board = []
self.reset_player_position_indexes()
self.eval = Evaluator()
##
# Deals two cards to each player
##
def deal_hole_cards(self):
for p in self.players:
p.hand = self.deck.draw(2)
p.hand = sorted(p.hand, reverse=False)
if p.id == "HUMAN":
print("Your hand: \t")
Card.print_pretty_cards(p.hand)
print("")
def generate_table_state(self):
table_state = {
'stage': self.stage,
'big_blind': self.big_blind,
'small_blind': self.small_blind,
'd_chip_pos': self.d_chip_pos,
'board': self.board,
'current_bet': self.current_bet,
}
return table_state
def reset_player_position_indexes(self):
for idx, p in enumerate(self.players):
p.playing_position = idx
##
# Sets the hand rank for each player based
# on the players current hand and board
##
def evaluate_player_hands(self):
for p in self.players:
p.evaluate_hand(self.board, self.eval)
##
# Returns the stack of each player
##
def get_player_stacks(self):
stacks = []
for p in self.players:
stacks.append(p.stack)
return stacks
def get_active_players(self):
active_players = [p for p in self.players if p.active]
return active_players
def request_player_actions(self):
self.current_bet = 0
if len(self.get_active_players()) <= 1:
no_further_action = True
else:
no_further_action = False
stage_actions = []
last_raiser = None
while no_further_action is False:
round_actions = []
no_further_action = False
for p in self.get_active_players():
if p.all_in:
no_further_action = True
if no_further_action:
continue
for p in self.get_active_players():
if p == last_raiser:
no_further_action = True
break
if len(self.get_active_players()) == 1:
no_further_action = True
break
if p.all_in:
continue
if p.active:
player_action = p.get_action(self, self, round_actions)
self.current_pot += player_action[2]
if human_player:
print(p.id, player_action[1], player_action[2])
if player_action[2] > self.current_bet:
self.current_bet = player_action[2]
if player_action[1] == "RAISE":
last_raiser = p
round_actions.append(player_action)
stage_actions.append(round_actions)
if last_raiser == None:
no_further_action = True
for p in self.get_active_players():
p.hand_actions += stage_actions
if debug == "SHOW_ACTIONS":
if len(stage_actions) > 2:
print(stage_actions)
print(len(stage_actions))
exit()
def take_blinds_and_ante(self):
## TODO check success of taking blinds
# Take small blind
self.players[0].stack -= self.small_blind
self.current_pot += self.small_blind
self.players[0].contribution_to_pot += self.small_blind
# Take big blind
self.players[1].stack -= self.big_blind
self.current_pot += self.big_blind
self.players[1].contribution_to_pot += self.big_blind
if human_player:
print(self.players[0].id, "Small blind: ", self.small_blind)
print(self.players[1].id, "Big blind: ", self.big_blind)
print("")
# Take ante
for p in self.players:
p.stack -= self.ante
self.current_pot += self.ante
p.contribution_to_pot += self.ante
##
# Returns a list of winners from active players
# and the current board.
##
def identify_winners(self, players):
best_rank = 7463 # rank one worse than worst hand
winners = []
for p in players:
p_rank = self.eval.evaluate(p.hand, self.board)
if p_rank == best_rank:
winners.append(p)
elif p_rank < best_rank:
best_rank = p_rank
winners = [p]
return winners
def redistribute_pot(self):
# Sort players by their contribution to the pot
all_players = sorted(self.players, key=lambda p:p.contribution_to_pot, reverse=False)
making_side_pots = True
pots = []
for p_1 in all_players:
this_pot_val = 0
this_pot_players = []
player_contrib = p_1.contribution_to_pot
# Subtract the player contribution for all players if balance > 0
for p_2 in all_players:
if p_2.contribution_to_pot > 0:
p_2.contribution_to_pot -= player_contrib
this_pot_val += player_contrib
this_pot_players.append(p_2)
# Add pot
if this_pot_val > 0:
pots.append([this_pot_val, this_pot_players])
# For each pot compare the hands of active players to identify the winner
active_players = self.get_active_players()
# For each pot compare the hands of active players to identify the winner
for pot in pots:
pot_members = pot[1]
active_pot_members = [p for p in pot_members if p in active_players]
pot_winners = []
# No active winners
if len(active_pot_members) == 0:
pot_winners = pot_members
# Find the winners in the pot
else:
pot_winners = self.identify_winners(active_pot_members)
# Split pot equally beween the winners
distributed_pot_val = pot[0] / len(pot_winners)
for winner in pot_winners:
winner.stack += distributed_pot_val
##
# Resets the table and moves dealerchip to the left by one position.
#
##
def prepare_next_hand(self, update_action_data=False):
self.board = []
self.current_pot = 0
# Reorder players by moving first to back
player_0 = self.players[0]
self.players.pop(0)
self.players.append(player_0)
self.reset_player_position_indexes()
# Set players with no stack to inactive
for p in self.players:
if p.stack <= 0:
p.active = False
else:
p.active = True
# self.players = [p for p in self.players if p.active]
# Remove player hole cards
for p in self.players:
if update_action_data:
p.update_action_data_net_stack(self.hand_idx)
p.hand = None
p.stage_actions = []
p.hand_actions = []
p.prev_stack = p.stack
p.all_in = False
# p.hand_action_count = 0
# Reset the deck
self.deck = Deck()
self.hand_idx += 1
def play_single_hand(self):
stages = ['PREFLOP', 'FLOP', 'TURN', 'RIVER']
## Preflop
self.stage = stages[0]
self.deal_hole_cards()
self.take_blinds_and_ante()
self.request_player_actions()
if human_player:
print(self.stage, "POT: ", self.current_pot)
print("")
Card.print_pretty_cards(self.board)
## Flop
self.stage = stages[1]
self.board += self.deck.draw(3)
self.request_player_actions()
if human_player:
print(self.stage, "POT: ", self.current_pot)
print("")
Card.print_pretty_cards(self.board)
# River
self.stage = stages[2]
self.board += [self.deck.draw(1)]
self.request_player_actions()
if human_player:
print(self.stage, "POT: ", self.current_pot)
print("")
Card.print_pretty_cards(self.board)
# Turn
self.stage = stages[3]
self.board += [self.deck.draw(1)]
self.request_player_actions()
if human_player:
print(self.stage, "POT: ", self.current_pot)
print("")
Card.print_pretty_cards(self.board)
# self.players[0].display_game_state(self, [])
# Cleanup by allocating chips to winner
self.redistribute_pot()
from __future__ import division
import numpy
from deuces import Card, Evaluator, Deck
import itertools
import pickle
evaluator = Evaluator()
pre_flop = pickle.load(open("preflop_scores.p", "rb"))
for i in range(0, 1000000):
deck = Deck()
board = deck.draw(5)
player1_hand = deck.draw(2)
player2_hand = deck.draw(2)
player1_hand.sort()
p1_score = evaluator.evaluate(board, player1_hand)
p2_score = evaluator.evaluate(board, player2_hand)
key = tuple(player1_hand)
if key not in pre_flop:
pre_flop[key] = [0, 0]
if p1_score < p2_score:
pre_flop[key] = [pre_flop[key][0] + 1, pre_flop[key][1] + 1]
elif p2_score < p1_score:
pre_flop[key][1] += 1
else:
pre_flop[key] = [pre_flop[key][0] + 1, pre_flop[key][1] + 2]
# for key in pre_flop:
deck.save()
for i in range(0, 10000):
deck.reset()
players = []
players.append(first_player)
for player_id in range(1, num_players, 1):
player = Player(player_id, deck=deck)
card_ints = player.draw_cards(num=2)
players.append(player)
flop_card_ints = deck.flop()
# print("Flops: " + Card.format_pretty_cards(flop_card_ints))
# print("Total left cards in deck: %d" % deck.left_card_num())
flop_card_ints = deck.get_flop_card_ints()
turn_card_int = deck.draw()
flop_card_ints.append(turn_card_int)
river_card_int = deck.draw()
flop_card_ints.append(river_card_int)
# evaluator.hand_summary(board=flop_card_ints, hands=[player.cards for player in players])
hands = [player.cards for player in players]
winner_method, winner_player = evaluator.hand_evaluate(
board=flop_card_ints, players=players, debug=False)
method_count = winner_methods.get(winner_method, 0)
winner_methods[winner_method] = method_count + 1
player_count = winner_players.get(winner_player.name, 0)
winner_players[winner_player.name] = player_count + 1
print("\n=== End Simulation ===")
# print(winner_methods)
# print(winner_players)
#constructin the whole deck
deck = Deck()
#Card.print_pretty_cards(player1_hand)
#removing our own hand from the deck
deck.cards.remove(hand[0])
deck.cards.remove(hand[1])
d = {}
for j in range(opp):
#giving a random player random cards
d['player%s_hand'%j] = deck.draw(2)
#Card.print_pretty_cards(d['player2_hand'])
#Card.print_pretty_cards(d['player3_hand'])
board = deck.draw(5)
#Card.print_pretty_cards(board)
#how strong are the hands from our opponents
e = {}
for k in range(opp):
e['p%s_score'%k] = evaluator.evaluate(board, d['player%s_hand'%k])
# p1_score = evaluator.evaluate(board, player1_hand)
_=os.system("clear")
print "Let's play a poker hand!"
print "\nOK here are the teams and their starting chips:"
print "\n%s TEAM has %d chips" % (team1, team1chips)
print "%s TEAM has %d chips" % (team2, team2chips)
print "%s TEAM has %d chips" % (team3, team3chips)
print "%s TEAM has %d chips" % (team4, team4chips)
print "\nWow nice chips!"
# new deck
deck = Deck()
deck.shuffle()
evaluator = Evaluator()
print "\nFirst we deal 2 cards to each team..."
ans3 = raw_input("\nHit <enter> to see the hands: ")
# random board and hands
hand1 = deck.draw(2)
hand2 = deck.draw(2)
hand3 = deck.draw(2)
hand4 = deck.draw(2)
leftovers = deck.draw(44)
# print the hands
_=os.system("clear")
print "%s TEAM has hand " % team1
Card.print_pretty_cards(hand1)
print "\n%s TEAM has hand " % team2
Card.print_pretty_cards(hand2)
print "\n%s TEAM has hand " % team3
Card.print_pretty_cards(hand3)
print "\n%s TEAM has hand " % team4
Card.print_pretty_cards(hand4)
print "\nWow nice hands!"
import deuces
from deuces import Card
from deuces import Evaluator
from deuces import Deck
deck=Deck()
board=deck.draw(5)
class Player:
hand_value = 0
account_value = 0
score = 0
rank = 0
def card_allocation_module(no_of_players):
print "\nReceived input is : ", no_of_Players
return [0]
no_of_Players= raw_input("Enter your input: ");
player=[Player() for i in range(int(no_of_Players))]
for i in range(int(no_of_Players)):
player[i].hand_value=deck.draw(2)
Card.print_pretty_cards(player[i].hand_value)
##for i in range(int(no_of_Players)):
## print "\nplayer[",i,"].hand_value=",player[i].hand_value
## print "player[",i,"].account_value=",player[i].account_value
## print "player[",i,"].score=",player[i].score
]
# pretty print cards to console
Card.print_pretty_cards(board + hand)
# create an evaluator
evaluator = Evaluator()
# and rank your hand
rank = evaluator.evaluate(board, hand)
print("Rank for your hand is: %d" % rank)
# or for random cards or games, create a deck
print("Dealing a new hand...")
deck = Deck()
board = deck.draw(5)
player1_hand = deck.draw(2)
player2_hand = deck.draw(2)
print("The board:")
Card.print_pretty_cards(board)
print("Player 1's cards:")
Card.print_pretty_cards(player1_hand)
print("Player 2's cards:")
Card.print_pretty_cards(player2_hand)
p1_score = evaluator.evaluate(board, player1_hand)
p2_score = evaluator.evaluate(board, player2_hand)
class Game:
version = 0.0
def __init__(self, n_players):
self.deck = Deck()
self.hands = [
list(x)
for x in zip(self.deck.draw(n_players), self.deck.draw(n_players))
]
self.board = []
self.n_players = n_players
self.bets = np.zeros(n_players) + 10
self.money = np.ones(n_players) * 90
self.ins = np.ones(n_players).astype(bool)
self.all_ins = np.zeros(n_players).astype(bool)
self.round = 0
def next_round(self, decision_algorithm):
"""Generating a round, using the decision algorithm to make the bets
(Nothing to adapt here)"""
# card increment based on which round we are in
if self.round == 0:
pass
elif self.round == 1:
self.board += self.deck.draw(3)
elif self.round == 2:
self.board += [self.deck.draw(1)]
elif self.round == 3:
self.board += [self.deck.draw(1)]
elif self.round > 3:
return
# extracting features to feed to the decision algorithm
features = self.__get_features()
# applying the decision algorithm
decisions = [
decision_algorithm(f) if is_in else None
for f, is_in in zip(features, self.ins)
]
# applying the decision (to adapt to the format of the decision output)
self.__update_game(decisions)
# if the game is at the end, we attribute the gains
if self.round == 3:
self.__finalize_game()
# updating the round number
self.round += 1
def __update_game(self, decisions: list):
"""
applying the decision from the algorithm to the game state
(Nothing to adapt here)
:param decisions: list, output from the decision algorithm
:return:
"""
# updating who folded
self.__fold(decisions)
# deciding on a raise value based on the decision ouptut
raise_value = self.__raise_value(decisions)
# checking who goes all in and updating the bets
all_ins = (self.money <= raise_value) & self.ins
self.bets[all_ins] += self.money[all_ins]
self.money[all_ins] = 0.
# removing all ins pplayer from the pool
self.all_ins |= all_ins
self.ins &= ~self.all_ins
# updating the bets for the other players
self.bets[self.ins] += raise_value
self.money[self.ins] -= raise_value
def __finalize_game(self):
"""
Giving all the money to the player with the best hand
(Nothing to adapt here)
:return:
"""
evaluator = Evaluator()
hand_strength = np.array(
[evaluator.evaluate(hand, self.board) for hand in self.hands])
if any(~(self.all_ins | self.ins)):
hand_strength[~(self.all_ins | self.ins)] = np.nan
if any(self.all_ins | self.ins):
winner = np.nanargmin(hand_strength)
# computing how much money the winner is getting from the others
money_transfer = np.min(
[self.bets, [self.bets[winner]] * self.n_players], axis=0)
self.money[winner] += np.sum(money_transfer)
self.bets = self.bets - money_transfer
# redistributing what hasn't been won to the players
self.money += self.bets
self.bets *= 0
def __get_features(self):
"""
Creating the features for the decision algorithm
(to be adapted in development)
:return:
"""
feature_dict = {}
feature_dict['player'] = list(np.arange(self.n_players))
feature_dict['winning_proba'] = [
estimate_proba(hand, self.board, self.n_players, n_simul=100)
for hand in self.hands
]
feature_dict['money_to_gain'] = [sum(self.bets)] * self.n_players
for round in range(4):
feature_dict[f'round {round}'] = [round == self.round
] * self.n_players
return feature_dict
def __raise_value(self, decisions: list) -> float:
"""
Implementation on how to decide the raise value based on the decision output
(to be adapted in development)
:param decisions:
:return:
"""
return np.max(np.min([decisions, self.money], axis=0))
def __fold(self, decisions: list):
"""
Implementation of how to decide if a player folds based on the decision output
(to be adapted in development)
:param decision: output of the decision algorithm
"""
return np.array(decisions) < 0
def display(self):
for i in range(self.n_players):
if self.ins[i]:
status = "in"
elif self.all_ins[i]:
status = "all in"
else:
status = "out"
print("player %d: \t Money: %d \t Bets: %d \t Status: %s " %
(i, self.money[i], self.bets[i], status))
Card.print_pretty_cards(self.hands[i])
print("board:")
Card.print_pretty_cards(self.board)
