PokerKit: A Comprehensive Python Library for Fine-Grained Multi-Variant Poker Game Simulations

Fuente: arXiv
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1. Verfasser: Kim, Juho
Format: Preprint
Veröffentlicht: 2023
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author Kim, Juho
author_facet Kim, Juho
contents PokerKit is an open-source Python library designed to overcome the restrictions of existing poker game simulation and hand evaluation tools, which typically support only a handful of poker variants and lack flexibility in game state control. In contrast, PokerKit significantly expands this scope by supporting an extensive array of poker variants and it provides a flexible architecture for users to define their custom games. This paper details the design and implementation of PokerKit, including its intuitive programmatic API, multi-variant game support, and a unified hand evaluation suite across different hand types. The flexibility of PokerKit allows for applications in diverse areas, such as poker AI development, tool creation, and online poker casino implementation. PokerKit's reliability has been established through static type checking, extensive doctests, and unit tests, achieving 99% code coverage. The introduction of PokerKit represents a significant contribution to the field of computer poker, fostering future research and advanced AI development for a wide variety of poker games. The source code is available at https://github.com/uoftcprg/pokerkit
format Preprint
id arxiv_https___arxiv_org_abs_2308_07327
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle PokerKit: A Comprehensive Python Library for Fine-Grained Multi-Variant Poker Game Simulations
Kim, Juho
Artificial Intelligence
PokerKit is an open-source Python library designed to overcome the restrictions of existing poker game simulation and hand evaluation tools, which typically support only a handful of poker variants and lack flexibility in game state control. In contrast, PokerKit significantly expands this scope by supporting an extensive array of poker variants and it provides a flexible architecture for users to define their custom games. This paper details the design and implementation of PokerKit, including its intuitive programmatic API, multi-variant game support, and a unified hand evaluation suite across different hand types. The flexibility of PokerKit allows for applications in diverse areas, such as poker AI development, tool creation, and online poker casino implementation. PokerKit's reliability has been established through static type checking, extensive doctests, and unit tests, achieving 99% code coverage. The introduction of PokerKit represents a significant contribution to the field of computer poker, fostering future research and advanced AI development for a wide variety of poker games. The source code is available at https://github.com/uoftcprg/pokerkit
title PokerKit: A Comprehensive Python Library for Fine-Grained Multi-Variant Poker Game Simulations
topic Artificial Intelligence
url https://arxiv.org/abs/2308.07327