Package: deuces
DeucesA pure Python poker hand evaluation library[ 2 ❤ ] , [ 2 ♠ ]Installationpipinstalldeuces# OR...gitclonegit@github.com:worldveil/deuces.git./deucescd./deuces
python3.10-mvenvpoker_envsourcepoker_env/bin/activate
pipinstall-rrequirements.txtRunning testsThese should be much more exhaustive, but for now, run:python-mpytestImplementation notesDeuces, originally written for the MIT Pokerbots Competition, is lightweight and fast. All lookups are done with bit arithmetic and dictionary lookups. That said, Deuces 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).Deuces handles 5, 6, and 7 card hand lookups. The 6 and 7 card lookups are done by combinatorially evaluating the 5 card choices, but later releases may have dedicated and faster algorithms for these.I also have lookup tables for 2 card rollouts, which is particularly handy in evaluating Texas Hold'em preflop pot equity, but they are forthcoming as well.See my blog for an explanation of how the library works and how the lookup table generation is done:http://willdrevo.com/(haven't posted yet)UsageDeuces is easy to set up and use.fromdeucesimportCardcard=Card.new('Qh')Card objects are represented as integers to keep Deuces 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:>>>fromdeucesimportEvaluator>>>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. Once again, refer to my blog post for a more mathematically complete explanation of why this is so.If you want to deal out cards randomly from a deck, you can also do that with Deuces:fromdeucesimportDeckdeck=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 StraightAnd that's Deuces, yo.PerformanceJust how fast is Deuces? Check outperformancefolder for a couple of tests comparing Deuces to other pure Python hand evaluators.Here are the results evaluating 10,000 random 5, 6, and 7 card boards:5 card evaluation:
[*] Pokerhand-eval: Evaluations per second = 83.577580
[*] Deuces: Evaluations per second = 235722.458889
[*] SpecialK: Evaluations per second = 376833.177604

6 card evaluation:
[*] Pokerhand-eval: Evaluations per second = 55.519042
[*] Deuces: Evaluations per second = 45677.395466
[*] SpecialK: N/A

7 card evaluation:
[*] Pokerhand-eval: Evaluations per second = 51.529784
[*] Deuces: Evaluations per second = 15220.969303
[*] SpecialK: Evaluations per second = 142698.833384Compared topokerhand-eval, Deuces is 2400x faster on 5 card evaluation, and drops to 300x faster on 7 card evaluation.However,SpecialKEvalreigns supreme, with an impressive nearly 400k evals / sec (a factor of ~1.7 improvement over Deuces) for 5 cards, and an impressive 140k /sec on 7 cards (factor of 10).For poker hand evaluation in Python, if you desire a cleaner user interface and more readable and adaptable code, I recommend Deuces, because if youreallyneed speed, you should be using C anyway. The extra 10x on 7 cards with SpecialK won't get you much more in terms of Monte Carlo simulations, and SpecialK's 5 card evals are within a factor of 2 of Deuces's evals/s.For C/C++, I'd recommandpokerstove, as its hyperoptimized C++ Boost routines can do 10+ million evals/s.TestingYou can run the tests by:python setup.py testAlternatively, install the required packages:pip install -r requirements.txtand then:bash-3.2$ pytest deuces
=== test session starts ===
platform darwin -- Python 2.7.13, pytest-3.2.1, py-1.4.34, pluggy-0.4.0
rootdir: /Users/misha/git/deuces, inifile:
plugins: hypothesis-3.19.0, cov-2.5.1
collected 1 item

deuces/test_deuces.py .

=== 1 passed in 0.05 seconds ===To obtain test coverage:pytest deuces --cov-report html:gitignore/coverage --cov=deuces deuces deuces --cov-report html:gitignore/coverage --cov=deuces deucesLicenseCopyright (c) 2013 Will DrevoPermission is hereby granted, free of charge, to any person obtaining a copy
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