code: def test_vecenv_dict_spaces(vec_env_class):
      """Test dictionary observation spaces with vectorized environments."""
      space = gym.spaces.Dict(SPACES)
  
      def obs_assert(obs):
          assert isinstance(obs, collections.OrderedDict)
          assert obs.keys() == space.spaces.keys()
          for key, values in obs.items():
              check_vecenv_obs(values, space.spaces[key])
  
      check_vecenv_spaces(vec_env_class, space, obs_assert)
  
      unordered_space = _UnorderedDictSpace(SPACES)
      # Check that vec_env_class can accept unordered dict observations (and convert to OrderedDict)
      check_vecenv_spaces(vec_env_class, unordered_space, obs_assert)
  
imports: import collections
  import functools
  import itertools
  import multiprocessing
  import pytest
  import gym
  import numpy
  from stable_baselines.common.vec_env import DummyVecEnv, SubprocVecEnv, VecNormalize, VecFrameStack
label_desc: Use image node_id 6 for calling a global function with example usage: test_vecenv_dict_spaces(vec_env_class) without return types