code: def test_observation_dimension(self):
      env = PointEnv()
      wrapped_env = RL2Env(PointEnv())
      assert wrapped_env.spec.observation_space.shape[0] == (
          env.observation_space.shape[0] + env.action_space.shape[0] + 2
      )
      obs, _ = env.reset()
      obs2, _ = wrapped_env.reset()
      assert (
          obs.shape[0] + env.action_space.shape[0] + 2 == obs2.shape[0]
      )
      obs = env.step(env.action_space.sample()).observation
      obs2 = wrapped_env.step(env.action_space.sample()).observation
      assert (
          obs.shape[0] + env.action_space.shape[0] + 2 == obs2.shape[0]
      )
  
imports: from garage.envs import PointEnv
  from garage.tf.algos.rl2 import RL2Env
label_desc: Use image node_id 1 for calling the TestRL2Env obj's underlying member method code with example usage: obj.test_observation_dimension() without return types