https://github.com/lichess-org/scalachess

Chess API written in scala. Immutable and free of side effects.
https://github.com/lichess-org/scalachess

bitboard bitboard-datastructure chess functional-programming lichess scala-3

Last synced: 7 days ago
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Chess API written in scala. Immutable and free of side effects.

• Host: GitHub
• URL: https://github.com/lichess-org/scalachess
• Owner: lichess-org
• License: mit
• Created: 2012-05-16T19:22:34.000Z (over 12 years ago)
• Default Branch: master
• Last Pushed: 2024-05-18T00:12:22.000Z (7 months ago)
• Last Synced: 2024-05-18T01:24:07.299Z (7 months ago)
• Topics: bitboard, bitboard-datastructure, chess, functional-programming, lichess, scala-3
• Language: Scala
• Homepage: https://lichess.org
• Size: 6.88 MB
• Stars: 622
• Watchers: 33
• Forks: 199
• Open Issues: 2
• Metadata Files:
  • Readme: README.md
  • Funding: .github/FUNDING.yml
  • License: LICENSE

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README

        
[![Continuous Integration](https://github.com/ornicar/scalachess/actions/workflows/ci.yml/badge.svg)](https://github.com/ornicar/scalachess/actions/workflows/ci.yml)

Chess API written in scala for [lichess.org](https://lichess.org)

It is entirely functional, immutable, and free of side effects.

INSTALL

-------

Clone scalachess

    git clone https://github.com/lichess-org/scalachess

Start [sbt](http://www.scala-sbt.org/download.html) in scalachess directory

    sbt

In the sbt shell, to compile scalachess, run

    compile

To run the tests

    testKit / test

To run benchmarks (takes more than 1 hour to finish):

    bench / Jmh / run

Or to output a json file

    bench / Jmh / run -rf json

To run quick benchmarks (results may be inaccurate):

    bench / Jmh / run -i 1 -wi 1 -f1 -t1

To run benchmarks for a specific class:

    bench / Jmh / run -rf json .*PlayBench.*

To run [scalafmt](https://scalameta.org/scalafmt/docs/installation.html) and [scalafix](https://scalacenter.github.io/scalafix):

    sbt prepare

Install (python)

-------

For python code, [install pipenv](https://pipenv.pypa.io/en/latest/installation.html#installing-pipenv), and run `$ pipenv install` from project root.