Return True if `action_profile` is a Nash equilibrium.

        Parameters
        ----------
        action_profile : array_like(int or array_like(float))
            An array of N objects, where each object must be an integer
            (pure action) or an array of floats (mixed action).

        tol : scalar(float)
            Tolerance level used in determining best responses. If None,
            default to each player's `tol` attribute value.

        Returns
        -------
        bool
            True if `action_profile` is a Nash equilibrium; False
            otherwise.

def is_nash(self, action_profile, tol=None):
        """
        Return True if `action_profile` is a Nash equilibrium.

        Parameters
        ----------
        action_profile : array_like(int or array_like(float))
            An array of N objects, where each object must be an integer
            (pure action) or an array of floats (mixed action).

        tol : scalar(float)
            Tolerance level used in determining best responses. If None,
            default to each player's `tol` attribute value.

        Returns
        -------
        bool
            True if `action_profile` is a Nash equilibrium; False
            otherwise.

        """
        if self.N == 2:
            for i, player in enumerate(self.players):
                own_action, opponent_action = \
                    action_profile[i], action_profile[1-i]
                if not player.is_best_response(own_action, opponent_action,
                                               tol):
                    return False

        elif self.N >= 3:
            for i, player in enumerate(self.players):
                own_action = action_profile[i]
                opponents_actions = \
                    tuple(action_profile[i+1:]) + tuple(action_profile[:i])

                if not player.is_best_response(own_action, opponents_actions,
                                               tol):
                    return False

        else:  # Trivial case with self.N == 1
            if not self.players[0].is_best_response(action_profile[0], None,
                                                    tol):
                return False

        return True