code: def test_tuple_action_space_neural() -> None:
      raise SkipTest("Skipping GYM for now.")
      func = multigym.GymMulti(
          name="TupleActionSpace-v0", control="neural", neural_factor=1
      )
      results_neural = [
          func(np.random.normal(size=func.dimension)) for _ in range(10)
      ]
      assert min(results_neural) != max(results_neural)  # type: ignore
      assert all(int(r) == r for r in results_neural)
  
file_path: nevergrad/nevergrad/functions/gym/test_multigym.py
imports: import gym
  import os
  from unittest import SkipTest
  import numpy
  import pytest
  from .None import multigym
label_desc: Use image node_id 3 for calling a global function with example usage: test_tuple_action_space_neural() without return types