code: def build_dict_obs_space():
      """build dictionary observation space"""
      space_dict = dict()
      space_dict["features"] = gym.spaces.Box(
          low=0.0, high=1.0, shape=(24,), dtype=np.float64
      )
      space_dict["stacked_features"] = gym.spaces.Box(
          low=0.0, high=1.0, shape=(100, 24, 2), dtype=np.float64
      )
      space_dict["feature_series"] = gym.spaces.Box(
          low=0.0, high=1.0, shape=(64, 24), dtype=np.float64
      )
      space_dict["categorical_feature"] = gym.spaces.Box(
          low=0, high=11, shape=(), dtype=np.int
      )
      space_dict["categorical_feature_series"] = gym.spaces.Box(
          low=0, high=11, shape=(64,), dtype=np.int
      )
      space_dict["image"] = gym.spaces.Box(
          low=0.0, high=1.0, shape=(3, 32, 32), dtype=np.float64
      )
      space_dict["image_series"] = gym.spaces.Box(
          low=0.0, high=1.0, shape=(64, 3, 32, 32), dtype=np.float64
      )
      space_dict["image_rgb"] = gym.spaces.Box(
          low=0.0, high=1.0, shape=(32, 32, 3), dtype=np.float64
      )
  
      return gym.spaces.Dict(space_dict)
  
label_desc: Use image node_id 1 for calling a global function with example usage: build_dict_obs_space() and returns: gym