class_docstr: A dummy conversion interface asserting that the observation is packed into a dictionary space.
  
  :param env: Gym environment.
docstr: Returns respective gym observation space.
          
docstr_tok: ["Returns","respective","gym","observation","space","."]
code: def space(self) -> gym.spaces.Space:
      """Returns respective gym observation space."""
      if not self._original_space_is_dict:
          observation_space = gym.spaces.Dict(
              {"observation": self.env.observation_space}
          )
      else:
          observation_space = self.env.observation_space
  
      return observation_space
  
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 4 for calling the GymObservationConversion obj's underlying member method code with example usage: obj.space() and returns: observation_space