def _prob_5cards():
# 发五张牌， 各个牌型的概率
result = {}
combines = list(combinations(ALLCARDS, 5))
for cards in combines:
hand = Hand.show_hand(cards)
result.setdefault(hand, 0)
result[hand] += 1
result = sorted(result.items(), key=lambda x: x[1], reverse=True)
for i, item in enumerate(result):
item = list(item)
item.append(round(item[1] / len(combines), 10))
result[i] = tuple(item)
return result
def _statistic_5cards(hand_count):
# 随机发五张牌，统计n手牌的牌型分布
result = {}
for i in range(hand_count):
cards = Dealer.deal_5cards(1)[0]
# pile = copy(ALLCARDS)
# shuffle(pile)
# cards = sample(pile, 5)
hand = Hand.show_hand(cards)
result.setdefault(hand, 0)
result[hand] += 1
result = sorted(list(result.items()), key=lambda x: x[1], reverse=True)
for i, item in enumerate(result):
item = list(item)
item.append(round(item[1] / hand_count, 10))
result[i] = tuple(item)
return result
def _statistic_7cards(hand_count):
# 随机发7张牌，统计n手牌的牌型分布
result = {}
for i in range(hand_count):
pile = copy(ALLCARDS)
shuffle(pile)
cards = sample(pile, 7)
best_hand = select_best_hand(cards[:2], cards[2:])
hand = Hand.show_hand(best_hand)
result.setdefault(hand, 0)
result[hand] += 1
result = sorted(result.items(), key=lambda x: x[1], reverse=True)
for i, item in enumerate(result):
item = list(item)
item.append(round(item[1] / hand_count, 10))
result[i] = tuple(item)
return result
def _statistic_games(players=2, games=10000):
# 统计若干玩家若干对局之后，获胜者的牌型分布
result = {}
for i in range(games):
dealer = Dealer(players)
player_cards = dealer.deal_hand()
public_cards = dealer.deal_public()
winner_id = winner(player_cards, public_cards)
winner_hand = select_best_hand(player_cards[winner_id[0]],
public_cards)
hand = Hand.show_hand(winner_hand)
result.setdefault(hand, 0)
result[hand] += 1
result = sorted(result.items(), key=lambda x: x[1], reverse=True)
for i, item in enumerate(result):
item = list(item)
item.append(round(item[1] / games, 10))
result[i] = tuple(item)
return result
