{"id":15608580,"url":"https://github.com/ianfab/variantfishtest","last_synced_at":"2025-04-28T11:49:09.352Z","repository":{"id":82394113,"uuid":"72099601","full_name":"ianfab/variantfishtest","owner":"ianfab","description":"variant-agnostic UCI chess variant engine matches","archived":false,"fork":false,"pushed_at":"2025-01-27T19:49:55.000Z","size":115,"stargazers_count":7,"open_issues_count":1,"forks_count":7,"subscribers_count":3,"default_branch":"master","last_synced_at":"2025-02-25T01:31:47.848Z","etag":null,"topics":["chess-variants","stockfish","uci"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"gpl-3.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/ianfab.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2016-10-27T10:57:25.000Z","updated_at":"2025-01-27T19:49:59.000Z","dependencies_parsed_at":"2023-06-15T11:45:10.051Z","dependency_job_id":null,"html_url":"https://github.com/ianfab/variantfishtest","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ianfab%2Fvariantfishtest","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ianfab%2Fvariantfishtest/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ianfab%2Fvariantfishtest/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ianfab%2Fvariantfishtest/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/ianfab","download_url":"https://codeload.github.com/ianfab/variantfishtest/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":242467159,"owners_count":20133105,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["chess-variants","stockfish","uci"],"created_at":"2024-10-03T05:21:31.614Z","updated_at":"2025-03-07T21:30:39.885Z","avatar_url":"https://github.com/ianfab.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# variantfishtest\n\nvariantfishtest.py is a python script to run matches between two given UCI chess variant engines. It is mainly used for testing of [Fairy-Stockfish](https://github.com/ianfab/Fairy-Stockfish) for variants not supported by [cutechess](https://github.com/cutechess/cutechess).\n\nThe script is variant-agnostic and therefore supports arbitrary variants, and relies on the correctness and consistency of the engines' rule implementation. A similar script with rule-aware game adjudication is [fairyfishtest](https://github.com/ianfab/fairyfishtest), which uses the CECP/xboard protocol to run matches.\n\nRun `python variantfishtest.py -h` for instructions on usage.\n\n### Example\n```\npython variantfishtest.py stockfish1 --e1-options EvalFile=xiangqi-28d6221e2440.nnue stockfish2 --e2-options EvalFile=xiangqi-83f16c17fe26.nnue -t 10000 -i 100 -v xiangqi -b\n```\n\n### Output\nA typical output looks like\n```\nELO: 103.73 +-71.1 (95%) LOS: 99.9%\nTotal: 100 W: 63 L: 34 D: 3\n```\nThis means that \n* Engine 1 is 103.73 Elo stronger than engine 2 with a statistical uncertainty of 71.1 Elo at a 95% [confidence level](https://en.wikipedia.org/wiki/Confidence_interval).\n* Its [likelihood of superiority (LOS)](https://www.chessprogramming.org/Match_Statistics#Likelihood_of_superiority) is 99.9%.\n* It played 100 games, with 63 wins, 34 losses, and 3 draws.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fianfab%2Fvariantfishtest","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fianfab%2Fvariantfishtest","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fianfab%2Fvariantfishtest/lists"}