{"payload":{"header_redesign_enabled":false,"results":[{"id":"349369547","archived":false,"color":"#f34b7d","followers":0,"has_funding_file":false,"hl_name":"whbarndt/TicTacToeRaylib","hl_trunc_description":"Tic Tac Toe Implementation with Minimax and Monte Carlo Tree Search (MCTS) AI bots using Raylib","language":"C++","mirror":false,"owned_by_organization":false,"public":true,"repo":{"repository":{"id":349369547,"name":"TicTacToeRaylib","owner_id":70171176,"owner_login":"whbarndt","updated_at":"2021-05-17T06:47:23.162Z","has_issues":true}},"sponsorable":false,"topics":["tic-tac-toe","minimax-algorithm","gofai","mcts-algorithm","raylib-cpp"],"type":"Public","help_wanted_issues_count":0,"good_first_issue_issues_count":0,"starred_by_current_user":false}],"type":"repositories","page":1,"page_count":1,"elapsed_millis":66,"errors":[],"result_count":1,"facets":[],"protected_org_logins":[],"topics":null,"query_id":"","logged_in":false,"sign_up_path":"/signup?source=code_search_results","sign_in_path":"/login?return_to=https%3A%2F%2Fgithub.com%2Fsearch%3Fq%3Drepo%253Awhbarndt%252FTicTacToeRaylib%2B%2Blanguage%253AC%252B%252B","metadata":null,"warn_limited_results":false,"csrf_tokens":{"/whbarndt/TicTacToeRaylib/star":{"post":"_V8Tw8lKndLF4vftQDEO1w8NhHFqLCopMNumkLvgTRXQLBTb-6UBkeiobDVhMSL8OCRjMCj8zam_hFWhN8pwOA"},"/whbarndt/TicTacToeRaylib/unstar":{"post":"5MFjHfJpF_Rqd1sGvZvc1EsWjkk-qZM4HfELlBi0uAG7VWBrlWLa6da9fSCpWCUGk7OxSbEg2p965uBhY6Qs6Q"},"/sponsors/batch_deferred_sponsor_buttons":{"post":"gVnxZCIyA1RfXvtMr2Sp152PI0lqwnrLuZcujOPHSA5Elt0sdmHLjyCQBXLS3O15YNFCtjIWjIJnbcKhSBiAaQ"}}},"title":"Repository search results"}