code: def test_sync_vector_env_seed():
      env = make_env("BipedalWalker-v3", seed=123)()
      sync_vector_env = SyncVectorEnv(
          [make_env("BipedalWalker-v3", seed=123)]
      )
  
      assert_rng_equal(
          env.action_space.np_random,
          sync_vector_env.action_space.np_random,
      )
      for _ in range(100):
          env_action = env.action_space.sample()
          vector_action = sync_vector_env.action_space.sample()
          assert np.all(env_action == vector_action)
  
file_path: gym/tests/vector/test_sync_vector_env.py
imports: import numpy
  import pytest
  from gym.envs.registration import EnvSpec
  from gym.spaces import Box, Discrete, MultiDiscrete, Tuple
  from gym.vector.sync_vector_env import SyncVectorEnv
  from tests.envs.utils import all_testing_env_specs
  from tests.vector.utils import CustomSpace, assert_rng_equal, make_custom_space_env, make_env
label_desc: Use image node_id 8 for calling a global function with example usage: test_sync_vector_env_seed() without return types