46 lines
1.2 KiB
Python
46 lines
1.2 KiB
Python
import chess
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import chess.engine
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from mcts import MCTSNode
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import engine
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import eval
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def test_mcts():
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fools_mate = "rnbqkbnr/pppp1ppp/4p3/8/5PP1/8/PPPPP2P/RNBQKBNR b KQkq f3 0 2"
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board = chess.Board(fools_mate)
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mcts_root = MCTSNode(board)
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mcts_root.build_tree()
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sorted_moves = sorted(mcts_root.children, key=lambda x: x.move.uci())
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for c in sorted_moves:
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print("move (mcts):", c.move, " with score:", c.score)
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def test_stockfish():
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fools_mate = "rnbqkbnr/pppp1ppp/4p3/8/5PP1/8/PPPPP2P/RNBQKBNR b KQkq f3 0 2"
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board = chess.Board(fools_mate)
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moves = {}
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untried_moves = list(board.legal_moves)
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for move in untried_moves:
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engine.simulate_game(board, move, 100)
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moves[move] = board
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board = chess.Board(fools_mate)
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sorted_moves = dict(sorted(moves.items(), key=lambda x: x[0].uci()))
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analyze_results(sorted_moves)
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def analyze_results(moves: dict):
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for m, b in moves.items():
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manual_score = eval.score_manual(b)
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engine_score = eval.score_stockfish(b).white()
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print(f"score for move {m}: manual_score={manual_score}, engine_score={engine_score}")
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def main():
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test_mcts()
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test_stockfish()
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if __name__ == '__main__':
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main()
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