![]() ![]() Somme = int(data) + int(data) + int(data) Sql = "INSERT INTO `game` (`fen`, `result`) VALUES (%s, %s)"Īnd algorithm for search minmax score (score = %winrate white * 1, + %winrate black * 0, + %winrate draw * 0.5), he take a move with more 100 move plays import json ![]() Result.append(])Ĭonnection = nnect(host='localhost', Pgn = open('C:/Users/pierr/OneDrive/Bureau/lichess_elite_2020-05.pgn') Png file : is an example with the indications of (I hadn't thought about creating a database with this file and I missed the "erd" code which is exactly what I need)įill the database (dbname = "game", row id, row fen, row result) import json I can't find a solicitation through the chess-py doc and my googles searches don't come up with anything. pgn of grand masters parts and with the library "chess" I could do something similar but currently I am blocked on how to filter this file on by example "e2-e4" and have the success rate of each move and have a recursive function to explore this file. Chess: 125 Selected Games by V Smyslov Particulier 16,98 EUR + 7,17 EUR livraison + EUR 0,93 de VAT applicable Passez la souris pour agrandir Vous en avez un à vendre Vendez le vôtre Achetez en toute confiance Garantie client eBay Obtenez un remboursement si vous ne recevez pas lobjet que vous avez commandé. ![]() ![]() I told myself that I was going to do the same thing but instead of using the lichess api, I was going to use a. I managed to do it with the lichess api, the problem is that when I request more than 3 depth, lichess blocks me because of spam generated on the api. If you explore deep enough, you will arrive at a list of individual games you can study!Ĭurrently, the Explorer does not index Live Chess games shorter than 5 | 0, Chess960 games, or any games of fewer than four moves in length.Currently I am looking with python to do a failure "ia" which gives me the opening with the best success rate (using the grand master parts of the lichess database) with a minmax and by taking only the moves with at least 100 position already played so as not to fall on a 100% black success rate with 1 single game.
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