(self, action)
return action
A Discretized PokerEnv subclass has a different action representation than a Limit or a No-Limit env.
        This function should be used to convert these different action spaces to the standard one of PokerEnv:
        Tuple(Discrete(3), Discrete(n_chips))
        Or in words: (action_to_take, n_chips_to_bet_if_action_is_bet).
        n_chips_to_bet_if_action_is_bet always needs to be set but is ignored if the action is not Poker.BET_RAISE

        Args:
            action: subclass specific action representation

        Returns:
            Tuple:  (action_to_take, n_chips_to_bet_if_action_is_bet)
A Discretized PokerEnv subclass has a different action representation than a Limit or a No-Limit env.
        This function should be used to convert these different action spaces to the standard one of PokerEnv:
        Tuple(Discrete(3), Discrete(n_chips))
        Or in words: (action_to_take, n_chips_to_bet_if_action_is_bet).
        n_chips_to_bet_if_action_is_bet always needs to be set but is ignored if the action is not Poker.BET_RAISE
A Discretized PokerEnv subclass has a different action representation than a Limit or a No - Limit env . This function should be used to convert these different action spaces to the standard one of PokerEnv : Tuple ( Discrete ( 3 ) Discrete ( n_chips )) Or in words : ( action_to_take n_chips_to_bet_if_action_is_bet ) . n_chips_to_bet_if_action_is_bet always needs to be set but is ignored if the action is not Poker . BET_RAISE
def _get_env_adjusted_action_formulation(self, action):
        """
        A Discretized PokerEnv subclass has a different action representation than a Limit or a No-Limit env.
        This function should be used to convert these different action spaces to the standard one of PokerEnv:
        Tuple(Discrete(3), Discrete(n_chips))
        Or in words: (action_to_take, n_chips_to_bet_if_action_is_bet).
        n_chips_to_bet_if_action_is_bet always needs to be set but is ignored if the action is not Poker.BET_RAISE

        Args:
            action: subclass specific action representation

        Returns:
            Tuple:  (action_to_take, n_chips_to_bet_if_action_is_bet)
        """
        return action
def _get_env_adjusted_action_formulation ( self , action ) : return action