treys下载 - treys源代码下载

treys

其他源码

1.0.0

下载

特雷斯

一个纯Python的扑克手牌评估库

 [ 3 ❤ ] , [ 3 ♠ ]

安装

 $ pip install treys

实施说明

Treys 是 Deuces 的 Python 3 移植版。大部分工作都取自 msaindon 的 fork。

Treys（最初为 Deuces）是 Will Drevo 为麻省理工学院扑克机器人大赛编写的。它重量轻且速度快。所有查找都是通过位算术和字典查找完成的。也就是说，Treys 不会击败 C 实现（~250k eval/s），但它对于需要 Python 或机器人分配合理思考时间（人类时间尺度）的情况很有用。

Treys 处理 5、6 和 7 张牌的查找。 6 和 7 卡查找是通过组合评估 5 张卡选择来完成的。

用法

Treys 易于设置和使用。

 >> > from treys import Card
>> > card = Card . new ( 'Qh' )

Card 对象被表示为整数，以保持 Trey 的高性能和轻量级。

现在让我们创建棋盘和德州扑克手牌示例：

 >> > board = [
>> >     Card . new ( 'Ah' ),
>> >     Card . new ( 'Kd' ),
>> >     Card . new ( 'Jc' )
>> > ]
>> > hand = [
>> >    Card . new ( 'Qs' ),
>> >    Card . new ( 'Th' )
>> > ]

将卡整数漂亮地打印到终端：

 >>> Card.print_pretty_cards(board + hand)
  [ A ❤ ] , [ K ♦ ] , [ J ♣ ] , [ Q ♠ ] , [ T ❤ ]

如果您安装了termacolor ，它们也会被着色。

否则直接评估你的牌力：

 >> > from treys import Evaluator
>> > evaluator = Evaluator ()
>> > print ( evaluator . evaluate ( board , hand ))
1600

手牌强度的评估范围为 1 到 7462，其中 1 是皇家同花顺，7462 是非同花 7-5-4-3-2，因为扑克中只有 7642 手明显排名的手牌。再次，请参阅我的博客文章，以从数学角度更完整地解释为什么会出现这种情况。

如果你想从一副牌中随机发牌，你也可以使用 Treys 来做到这一点：

 >> > from treys import Deck
>> > deck = Deck ()
>> > board = deck . draw ( 5 )
>> > player1_hand = deck . draw ( 2 )
>> > player2_hand = deck . draw ( 2 )

并打印它们：

 >>> Card.print_pretty_cards(board)
  [ 4 ♣ ] , [ A ♠ ] , [ 5 ♦ ] , [ K ♣ ] , [ 2 ♠ ]
>>> Card.print_pretty_cards(player1_hand)
  [ 6 ♣ ] , [ 7 ❤ ] 
>>> Card.print_pretty_cards(player2_hand)
  [ A ♣ ] , [ 3 ❤ ]

让我们评估双手的强度，然后将它们分为几类，每种手牌类型（高牌、对子等）

 >> > p1_score = evaluator . evaluate ( board , player1_hand )
>> > p2_score = evaluator . evaluate ( board , player2_hand )
>> > p1_class = evaluator . get_rank_class ( p1_score )
>> > p2_class = evaluator . get_rank_class ( p2_score )

或者获取一个人类友好的字符串来描述分数，

 >>> print("Player 1 hand rank = %d (%s)n" % (p1_score, evaluator.class_to_string(p1_class)))
Player 1 hand rank = 6330 (High Card)

>>> print("Player 2 hand rank = %d (%s)n" % (p2_score, evaluator.class_to_string(p2_class)))
Player 2 hand rank = 1609 (Straight)

或者，最酷的是，获得与手牌强度相关的游戏阶段的详细分析：

 >>> hands = [player1_hand, player2_hand]
>>> evaluator.hand_summary(board, hands)

========== FLOP ==========
Player 1 hand = High Card, percentage rank among all hands = 0.893192
Player 2 hand = Pair, percentage rank among all hands = 0.474672
Player 2 hand is currently winning.

========== TURN ==========
Player 1 hand = High Card, percentage rank among all hands = 0.848298
Player 2 hand = Pair, percentage rank among all hands = 0.452292
Player 2 hand is currently winning.

========== RIVER ==========
Player 1 hand = High Card, percentage rank among all hands = 0.848298
Player 2 hand = Straight, percentage rank among all hands = 0.215626

========== HAND OVER ==========
Player 2 is the winner with a Straight