class_docstr: A dummy conversion interface asserting that the action is packed into a dictionary space.
  
  :param env: Gym environment.
docstr: An integer representation of the action.
docstr_tok: ["An","integer","representation","of","the","action","."]
code: def create_action_hash(
      self, action: MazeActionType
  ) -> Union[int, str]:
      """An integer representation of the action."""
      return action["action"]
  
imports: from copy import copy, deepcopy
  from typing import Tuple, Union, Any, Dict, Optional
  import gym
  import numpy
  from gym.envs.classic_control import CartPoleEnv, MountainCarEnv, Continuous_MountainCarEnv, PendulumEnv, AcrobotEnv
  from gym.wrappers import TimeLimit
  from maze.core.annotations import override
  from maze.core.env.action_conversion import ActionConversionInterface
  from maze.core.env.core_env import CoreEnv
  from maze.core.env.maze_action import MazeActionType
  from maze.core.env.maze_env import MazeEnv
  from maze.core.env.maze_state import MazeStateType
  from maze.core.env.observation_conversion import ObservationConversionInterface
  from maze.core.env.simulated_env_mixin import SimulatedEnvMixin
  from maze.core.env.structured_env import StepKeyType, ActorID
  from maze.core.log_events.step_event_log import StepEventLog
  from maze.core.rendering.renderer import Renderer
label_desc: Use image node_id 5 for calling the GymActionConversion obj's underlying member method code with example usage: obj.create_action_hash(action) and returns: action