code: def play(self, env, n_steps):
      obs = []
      rewards = []
      obs.append(env.reset())
      num_dones = 0
      for _ in range(n_steps):
          step_obs, step_rewards, dones = env.step(actions=[0, 0])
          obs.append(step_obs)
          rewards.append(step_rewards)
          for i, done in enumerate(dones):
              if done:
                  env.reset([i])
                  num_dones += 1
      return env, obs, rewards, num_dones
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import os
  import shutil
  import gym
  from gym.spaces import Box
  from gym.spaces import Discrete
  import numpy
  from tensor2tensor.data_generators import gym_env
  from tensor2tensor.data_generators import problem
  from tensor2tensor.rl.gym_utils import make_gym_env
  import tensorflow.compat.v1
label_desc: Use image node_id 3 for calling the GymEnvTest obj's underlying member method code with example usage: obj.play(env, n_steps) and returns: env,  obs,  rewards,  num_dones