code: def test_ppo2_update_n_batch_on_load(tmp_path):
      env = make_vec_env("CartPole-v1", n_envs=2)
      model = PPO2("MlpPolicy", env, n_steps=10, nminibatches=1)
      save_path = os.path.join(str(tmp_path), "ppo2_cartpole.zip")
  
      model.learn(total_timesteps=100)
      model.save(save_path)
  
      del model
  
      model = PPO2.load(save_path)
      test_env = DummyVecEnv([lambda: gym.make("CartPole-v1")])
  
      model.set_env(test_env)
      model.learn(total_timesteps=100)
  
imports: import os
  import pytest
  import gym
  from stable_baselines import PPO2
  from stable_baselines.common import make_vec_env
  from stable_baselines.common.vec_env import DummyVecEnv
label_desc: Use image node_id 2 for calling a global function with example usage: test_ppo2_update_n_batch_on_load(tmp_path) without return types