def filter_game()

in pyhanabi/tools/run_human_game.py [0:0]

• 40 lines of code
• 25 McCabe index (conditional complexity)

def filter_game(history, num_players, skip_player_name_check=False):
    if history["num_players"] != num_players:
        return False
    expected_hand_size = 5 if num_players <= 3 else 4
    for hand in history["hands"]:
        if len(hand) != expected_hand_size:
            return False
    if history["abandoned"]:
        return False
    player_ids = list(set([m.player_name for m in history["moves"]]))
    if (
        not skip_player_name_check
        and len(player_ids) > 1
        and len(player_ids) != num_players
    ):
        return False

    sim_hands = [[copy.copy(c) for c in hand] for hand in history["hands"]]
    sim_deck = [copy.copy(c) for c in history["deck"]]
    hints = 8
    for move_idx, move in enumerate(history["moves"]):
        hand = sim_hands[move.player_id]
        if move.type == "playCard" or move.type == "discardCard":
            hand.pop(move.value)
            if sim_deck:
                hand.append(sim_deck.pop())
            if move.type == "discardCard":
                if hints >= 8:
                    return False
                hints += 1
        elif move.type == "hintValue":
            hints -= 1
            other_hand: List[Card] = sim_hands[move.target_player]
            if not (move.value in [x.value for x in other_hand]):
                return False
        elif move.type == "hintColor":
            hints -= 1
            other_hand: List[Card] = sim_hands[move.target_player]
            if not (move.value in [x.color for x in other_hand]):
                return False

    return True