code: def get_structured_space():
      """helper function"""
  
      space_dict = dict()
      space_dict["box"] = gym.spaces.Box(
          low=np.full(shape=(10,), fill_value=0, dtype=np.float32),
          high=np.full(shape=(10,), fill_value=100, dtype=np.float32),
          dtype=np.float32,
      )
  
      observation_space_0 = gym.spaces.Dict(spaces=space_dict)
  
      return {0: observation_space_0}
  
imports: import gym
  import numpy
  from maze.core.wrappers.observation_normalization.normalization_strategies.mean_zero_std_one import MeanZeroStdOneObservationNormalizationStrategy
  from maze.core.wrappers.observation_normalization.normalization_strategies.range_zero_one import RangeZeroOneObservationNormalizationStrategy
label_desc: Use image node_id 1 for calling a global function with example usage: get_structured_space() and returns: dict