code: def test_tuple_space(self):
      env = gym.make("CartPole-v1")
      space = gym.spaces.Tuple(
          spaces=[env.observation_space, env.action_space]
      )
      d = gym_space_to_dict(space)
      sp = gym_space_from_dict(d)
  
      _assert_array_equal(
          self.assertAlmostEqual,
          sp.spaces[0].low.tolist(),
          space.spaces[0].low.tolist(),
          0.001,
      )
      _assert_array_equal(
          self.assertAlmostEqual,
          sp.spaces[0].high.tolist(),
          space.spaces[0].high.tolist(),
          0.001,
      )
      _assert_array_equal(
          self.assertEqual, sp.spaces[0]._shape, space.spaces[0]._shape
      )
      self.assertEqual(sp.dtype, space.dtype)
  
      self.assertEqual(sp.spaces[1].n, space.spaces[1].n)
  
imports: import unittest
  from collections import OrderedDict
  import gymnasium
  import numpy
  from ray.rllib.utils.serialization import convert_numpy_to_python_primitives, gym_space_from_dict, gym_space_to_dict, space_from_dict, space_to_dict
  from ray.rllib.utils.spaces.flexdict import FlexDict
  from ray.rllib.utils.spaces.repeated import Repeated
  from ray.rllib.utils.spaces.simplex import Simplex
label_desc: Use image node_id 5 for calling the TestGymCheckEnv obj's underlying member method code with example usage: obj.test_tuple_space() without return types