import multiprocessing as mp import random import chess import chess.pgn from typing import Tuple, List from enum import Enum from dataclasses import dataclass from chesspp.engine import Engine, Limit class Winner(Enum): Engine_A = 0 Engine_B = 1 Draw = 2 @dataclass class EvaluationResult: winner: Winner game: chess.pgn.Game def simulate_game(white: Engine, black: Engine, limit: Limit) -> chess.pgn.Game: board = chess.Board() is_white_playing = True while not board.is_game_over(): play_result = white.play(board, limit) if is_white_playing else black.play(board, limit) board.push(play_result.move) is_white_playing = not is_white_playing game = chess.pgn.Game.from_board(board) game.headers['White'] = white.get_name() game.headers['Black'] = black.get_name() return game class Evaluation: def __init__(self, engine_a: Engine.__class__, engine_b: Engine.__class__, limit: Limit): self.engine_a = engine_a self.engine_b = engine_b self.limit = limit def run(self, n_games=100) -> List[EvaluationResult]: with mp.Pool(mp.cpu_count()) as pool: args = [(self.engine_a, self.engine_b, self.limit) for i in range(n_games)] return pool.map(Evaluation._test_simulate, args) @staticmethod def _test_simulate(arg: Tuple[Engine.__class__, Engine.__class__, Limit]) -> EvaluationResult: engine_a, engine_b, limit = arg flip_engines = bool(random.getrandbits(1)) if flip_engines: black, white = engine_a(chess.BLACK), engine_b(chess.WHITE) else: white, black = engine_a(chess.WHITE), engine_b(chess.BLACK) game = simulate_game(white, black, limit) winner = game.end().board().outcome().winner result = Winner.Draw match (winner, flip_engines): case (chess.WHITE, True): result = Winner.Engine_B case (chess.BLACK, True): result = Winner.Engine_A case (chess.WHITE, False): result = Winner.Engine_A case (chess.BLACK, False): result = Winner.Engine_B return EvaluationResult(result, game)