Package: treys
A pure Python poker hand evaluation library[ 3 ❤ ] , [ 3 ♠ ]Installation$ pip install treysImplementation notesTreys is a Python 3 port ofDeucesbased on the initial work inmsaindon’sfork. Deuces was written
byWill Drevofor the MIT Pokerbots Competition.Treys is lightweight and fast. All lookups are done with bit arithmetic and
dictionary lookups. That said, Treys won’t beat a C implemenation (~250k
eval/s) but it is useful for situations where Python is required or
where bots are allocated reasonable thinking time (human time scale).Treys handles 5, 6, and 7 card hand lookups. The 6 and 7 card lookups
are done by combinatorially evaluating the 5 card choices.UsageTreys is easy to set up and use.>>>fromtreysimportCard>>>card=Card.new('Qh')Card objects are represented as integers to keep Treys performant and
lightweight.Now let’s create the board and an example Texas Hold’em hand:>>>board=[>>>Card.new('Ah'),>>>Card.new('Kd'),>>>Card.new('Jc')>>>]>>>hand=[>>>Card.new('Qs'),>>>Card.new('Th')>>>]Pretty print card integers to the terminal:>>> Card.print_pretty_cards(board + hand)
  [ A ❤ ] , [ K ♦ ] , [ J ♣ ] , [ Q ♠ ] , [ T ❤ ]If you havetermcolorinstalled, they will be colored as well.Otherwise move straight to evaluating your hand strength:>>>fromtreysimportEvaluator>>>evaluator=Evaluator()>>>print(evaluator.evaluate(board,hand))1600Hand strength is valued on a scale of 1 to 7462, where 1 is a Royal
Flush and 7462 is unsuited 7-5-4-3-2, as there are only 7642 distinctly
ranked hands in poker.If you want to deal out cards randomly from a deck, you can also do that
with Treys:>>>fromtreysimportDeck>>>deck=Deck()>>>board=deck.draw(5)>>>player1_hand=deck.draw(2)>>>player2_hand=deck.draw(2)and print them:>>> 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 ❤ ]Let’s evaluate both hands strength, and then bin them into classes, one
for each hand type (High Card, Pair, etc)>>>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)or get a human-friendly string to describe the score,>>> 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)or, coolest of all, get a blow-by-blow analysis of the stages of the
game with relation to hand strength:>>> 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