{"push_id":1682858899,"size":2,"distinct_size":2,"ref":"refs/heads/master","head":"68a5ed00fd173c787afd69db6f6497bc58093486","before":"70d0532b8fe8ca9bc1e165e45c40c8d28fceca79","commits":[{"sha":"0ad39340adac9e8135ef3a28d4602ed52688b44d","author":{"name":"SawyerWelden","email":"5a76e955b9bdaa8e7eb87d29245767f25d15478b@ncf.edu"},"message":"Should center affinity be changed?","distinct":true,"url":"https://api.github.com/repos/raptortech-js/Tak-AI/commits/0ad39340adac9e8135ef3a28d4602ed52688b44d"},{"sha":"68a5ed00fd173c787afd69db6f6497bc58093486","author":{"name":"SawyerWelden","email":"5a76e955b9bdaa8e7eb87d29245767f25d15478b@ncf.edu"},"message":"Idea\n\nWhen making features, i think they should be completely agnostic of how\nmany pieces are on the board (other than board count) since they're all\nin a polynomial kernel with board count. The easiest way is porbably the\naverage per piece.","distinct":true,"url":"https://api.github.com/repos/raptortech-js/Tak-AI/commits/68a5ed00fd173c787afd69db6f6497bc58093486"}]}
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