class_docstr: Wraps observations and actions by replacing dictionary spaces with the sole contained sub-space.
  This wrapper is for example required when working with external frameworks not supporting dictionary spaces.
docstr: Convert the observations, reverse the actions.
docstr_tok: ["Convert","the","observations",",","reverse","the","actions","."]
code: def get_observation_and_action_dicts(
      self,
      maze_state: Optional[MazeStateType],
      maze_action: Optional[MazeActionType],
      first_step_in_episode: bool,
  ) -> Tuple[
      Optional[Dict[Union[int, str], Any]],
      Optional[Dict[Union[int, str], Any]],
  ]:
      """Convert the observations, reverse the actions."""
  
      obs_dict, act_dict = self.env.get_observation_and_action_dicts(
          maze_state, maze_action, first_step_in_episode
      )
  
      if act_dict is not None:
          act_dict = {
              policy_id: self.reverse_action(action)
              for policy_id, action in act_dict.items()
          }
  
      if obs_dict is not None:
          obs_dict = {
              policy_id: self.observation(obs)
              for policy_id, obs in obs_dict.items()
          }
  
      return obs_dict, act_dict
  
imports: from typing import Union, Dict, Any, Tuple, Optional
  import gym
  import numpy
  from maze.core.annotations import override
  from maze.core.env.base_env import BaseEnv
  from maze.core.env.maze_action import MazeActionType
  from maze.core.env.maze_state import MazeStateType
  from maze.core.env.simulated_env_mixin import SimulatedEnvMixin
  from maze.core.env.structured_env_spaces_mixin import StructuredEnvSpacesMixin
  from maze.core.wrappers.wrapper import EnvType, Wrapper
label_desc: Use image node_id 11 for calling the NoDictSpacesWrapper obj's underlying member method code with example usage: obj.get_observation_and_action_dicts(maze_state, maze_action, first_step_in_episode) and returns: obs_dict,  act_dict