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<img src="./clubs/render/resources/static/images/black_red_logo.svg" alt="Logo" width=200px>
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# clubs
[](https://badge.fury.io/py/clubs)
[](https://pepy.tech/project/clubs)
[](https://codecov.io/gh/fschlatt/clubs)
[](https://www.codefactor.io/repository/github/fschlatt/clubs)
[](https://clubs.readthedocs.io/en/latest/?badge=latest)
clubs is a python library for running arbitrary configurations of community card poker games. This includes anything from simple Leduc or [Kuhn](https://en.wikipedia.org/wiki/Kuhn_poker) poker to full n-player [No Limit Texas Hold'em](https://en.wikipedia.org/wiki/Texas_hold_%27em) or [Pot Limit Omaha](https://en.wikipedia.org/wiki/Omaha_hold_%27em#Pot-limit_Omaha).
## Install
Install using `pip install clubs`. To enable webserver rendering (see example below), install using `pip install clubs[render]`.
## Example
```python
import random
import clubs
config = clubs.configs.NO_LIMIT_HOLDEM_SIX_PLAYER
dealer = clubs.poker.Dealer(**config)
obs = dealer.reset()
while True:
call = obs['call']
min_raise = obs['min_raise']
max_raise = obs['max_raise']
rand = random.random()
if rand < 0.1:
bet = 0
elif rand < 0.80:
bet = call
else:
bet = random.randint(min_raise, max_raise)
obs, rewards, done = dealer.step(bet)
if all(done):
break
print(rewards)
```
## Configuration
The type of poker game is defined using a configuration dictionary. See [configs.py](./clubs/configs.py) for some example configurations. A configuration dictionary has to have the following key value structure:
* num_players
* int: maximum number of players
* num_streets
* int: number of streets
* blinds
* int or list of ints: the blind distribution starting from the button e.g. [0, 1, 2, 0, 0, 0] for a 6 player 1-2 game
* a single int is expanded to the number of players, settings blinds=0 will result in no blinds [0, 0, 0, 0, 0, 0]
* antes
* int or list of ints: the ante distribution starting from the button, analog to the blind distribution
* single ints are expanded to the number of players
* raise_sizes
* float or str or list of floats or str: the maximum raise size as a list of values, one for each street
* options are ints (for fixed raise sizes), float('inf') (for no limit raise sizes) or 'pot' for pot limit raise sizes
* single values are expanded to the number of streets
* num_raises
* float or list of floats: the maximum number of raises for each street
* options are ints (for a fixed number of bets per round) or float('inf') for unlimited number of raises
* single values are expanded to the number of streets
* num_suits
* number of suits in the deck
* num_ranks
* number of ranks in the deck
* num_hole_cards
* number of hole cards for each player
* num_community_cards
* number of community cards per street
* num_cards_for_hand
* number of cards for a valid poker hand
* mandatory_num_hole_cards
* number of hole cards which must be used for a poker hand
* start_stack
* initial stack size
## API
clubs adopts the [Open AI gym](https://github.com/openai/gym) interface. See [clubs gym](https://github.com/fschlatt/clubs_gym.git) for a full clubs gym environment. To deal a new hand, call `dealer.reset()`, which returns a dictionary of observations for the current active player. To advance the game, call `dealer.step({bet})` with an integer bet size. Invalid bet sizes are always rounded to the nearest valid bet size. When the bet lies exactly between 2 valid bet sizes, it is always rounded down. For example, if the minimum raise size is 10 and the bet is 5, the bet is rounded down to 0, i.e. call or fold.
## Universal Deuces
The hand evaluator is heavily inspired by the [deuces](https://github.com/worldveil/deuces/) library. The basic logic is identical, but the evaluator and lookup table are generalized to work for any deck configuration with number of ranks <= 13 and number of suits <= 4 and poker hands with 5 or less cards. See the poker [README](./clubs/poker/README.md) for further details.
Some speed was sacrificed for the sake of better usability. Nonetheless, the evaluator is still quite fast on modern machines (Intel(R) Core(TM) i5-8250U):
```python
>>> import clubs
>>> evaluator = clubs.poker.Evaluator(4, 13, 5)
>>> avg_time = evaluator.speed_test()
>>> print(f"Average time per evaluation: {avg_time}")
Average time per evaluation: 1.3986515504075214e-06
>>> print(f"Evaluations per second = {1.0/avg_time}")
Evaluations per second = 714974.362062254
```
## Visualize
3 different render modes are available via `dealer.render()`. The default render mode uses a web front which gets exposed on localhost on a specified or random port.
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<img src="./clubs/render/resources/static/images/render_example.png" alt="Render Example" width=1000>
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## Limitations
Even though the library is designed to be as general as possible, it currently has a couple limitations:
* Only integer chip denominations are supported
* The evaluator only works for sub decks of the standard 52 card deck as well as a maximum of 5 card poker hands
* Draw and stud poker games are not supported