code: def test_call_async_vector_env(shared_memory):
      env_fns = [
          make_env("CartPole-v1", i, render_mode="rgb_array_list")
          for i in range(4)
      ]
  
      env = AsyncVectorEnv(env_fns, shared_memory=shared_memory)
      _ = env.reset()
      images = env.call("render")
      gravity = env.call("gravity")
  
      env.close()
  
      assert isinstance(images, tuple)
      assert len(images) == 4
      for i in range(4):
          assert len(images[i]) == 1
          assert isinstance(images[i][0], np.ndarray)
  
      assert isinstance(gravity, tuple)
      assert len(gravity) == 4
      for i in range(4):
          assert isinstance(gravity[i], float)
          assert gravity[i] == 9.8
  
imports: import re
  from multiprocessing import TimeoutError
  import numpy
  import pytest
  from gym.error import AlreadyPendingCallError, ClosedEnvironmentError, NoAsyncCallError
  from gym.spaces import Box, Discrete, MultiDiscrete, Tuple
  from gym.vector.async_vector_env import AsyncVectorEnv
  from tests.vector.utils import CustomSpace, make_custom_space_env, make_env, make_slow_env
label_desc: Use image node_id 4 for calling a global function with example usage: test_call_async_vector_env(shared_memory) without return types