def simulate_random_game(game: GameState):
bots = {Player.black: RandomBot(), Player.white: RandomBot()}
while (not game.is_over()):
bot_move = bots[game.next_player].select_move(game)
game = game.apply_move(bot_move)
return game.winner()
def simulate_random_game(game: GameState) -> Player:
bots = {
Player.black: FastRandomAgent(),
Player.white: FastRandomAgent(),
}
while not game.is_over():
bot_move = bots[game.next_player].select_move(game)
game = game.apply_move(bot_move)
return cast(Player, game.winner())
def select_move(self, game_state: GameState):
best_moves: List[Move] = []
best_score = float("-inf")
# Loop over all legal moves.
for possible_move in game_state.legal_moves():
if possible_move.point and is_point_an_eye(game_state.board, possible_move.point, game_state.next_player):
continue # skip the eye
next_state = game_state.apply_move(possible_move)
result = alphabeta(next_state, False, game_state.next_player, self.max_depth, ev_fn=self.ev_fn)
if (not best_moves) or result > best_score:
best_moves = [possible_move]
best_score = result
elif result == best_score:
best_moves.append(possible_move)
# For variety, randomly select among all equally good moves.
return random.choice(best_moves)
