code: def test_seed_reproducibility(space):
      """Test that the set the space seed will reproduce the same samples."""
      space_1 = space
      space_2 = copy.deepcopy(space)
  
      for seed in range(5):
          assert space_1.seed(seed) == space_2.seed(seed)
          # With the same seed, the two spaces should be identical
          assert all(
              data_equivalence(space_1.sample(), space_2.sample())
              for _ in range(10)
          )
  
      assert space_1.seed(123) != space_2.seed(456)
      # Due to randomness, it is difficult to test that random seeds produce different answers
      #   Therefore, taking 10 samples and checking that they are not all the same.
      assert not all(
          data_equivalence(space_1.sample(), space_2.sample())
          for _ in range(10)
      )
  
imports: import copy
  import itertools
  import json
  import pickle
  import tempfile
  from typing import List, Union
  import numpy
  import pytest
  from gym.spaces import Box, Discrete, MultiBinary, MultiDiscrete, Space, Text
  from gym.utils import seeding
  from gym.utils.env_checker import data_equivalence
  from tests.spaces.utils import TESTING_FUNDAMENTAL_SPACES, TESTING_FUNDAMENTAL_SPACES_IDS, TESTING_SPACES, TESTING_SPACES_IDS
label_desc: Use image node_id 5 for calling a global function with example usage: test_seed_reproducibility(space) without return types