code: def test_clip_action():
      # mountaincar: action-based rewards
      env = gym.make(
          "MountainCarContinuous-v0", disable_env_checker=True
      )
      wrapped_env = ClipAction(
          gym.make("MountainCarContinuous-v0", disable_env_checker=True)
      )
  
      seed = 0
  
      env.reset(seed=seed)
      wrapped_env.reset(seed=seed)
  
      actions = [[0.4], [1.2], [-0.3], [0.0], [-2.5]]
      for action in actions:
          obs1, r1, ter1, trunc1, _ = env.step(
              np.clip(
                  action, env.action_space.low, env.action_space.high
              )
          )
          obs2, r2, ter2, trunc2, _ = wrapped_env.step(action)
          assert np.allclose(r1, r2)
          assert np.allclose(obs1, obs2)
          assert ter1 == ter2
          assert trunc1 == trunc2
  
label_desc: Use image node_id 1 for calling a global function with example usage: test_clip_action() without return types