class_docstr: A dummy conversion interface asserting that the observation is packed into a dictionary space.
  
  :param env: Gym environment.
docstr: Converts agent observation to core environment state.
  (This is most like not possible for most observation observation_conversion)
docstr_tok: ["Converts","agent","observation","to","core","environment","state",".","(","This","is","most","like","not","possible","for","most","observation","observation_conversion",")"]
code: def space_to_maze(
      self, observation: Dict[str, np.ndarray]
  ) -> MazeStateType:
      """Converts agent observation to core environment state.
      (This is most like not possible for most observation observation_conversion)
      """
      return observation["observation"]
  
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 3 for calling the GymObservationConversion obj's underlying member method code with example usage: obj.space_to_maze(observation) and returns: observation