code: def test_flatten_space(space):
      """Test that the flattened spaces are a box and have the `flatdim` shape."""
      flat_space = utils.flatten_space(space)
  
      if space.is_np_flattenable:
          assert isinstance(flat_space, Box)
          (single_dim,) = flat_space.shape
          flatdim = utils.flatdim(space)
  
          assert single_dim == flatdim
      elif isinstance(flat_space, Graph):
          assert isinstance(space, Graph)
  
          (node_single_dim,) = flat_space.node_space.shape
          node_flatdim = utils.flatdim(space.node_space)
          assert node_single_dim == node_flatdim
  
          if flat_space.edge_space is not None:
              (edge_single_dim,) = flat_space.edge_space.shape
              edge_flatdim = utils.flatdim(space.edge_space)
              assert edge_single_dim == edge_flatdim
      else:
          assert isinstance(
              space,
              (gym.spaces.Tuple, gym.spaces.Dict, gym.spaces.Sequence),
          )
  
file_path: gym/tests/spaces/test_utils.py
imports: from itertools import zip_longest
  from typing import Optional
  import numpy
  import pytest
  import gym
  from gym.spaces import Box, Graph, utils
  from gym.utils.env_checker import data_equivalence
  from tests.spaces.utils import TESTING_SPACES, TESTING_SPACES_IDS
label_desc: Use image node_id 2 for calling a global function with example usage: test_flatten_space(space) without return types