code: def test_gail_callback(tmp_path):
      dataset = ExpertDataset(
          expert_path=EXPERT_PATH_PENDULUM,
          traj_limitation=10,
          sequential_preprocessing=True,
          verbose=0,
      )
      model = GAIL("MlpPolicy", "Pendulum-v0", dataset)
      checkpoint_callback = CheckpointCallback(
          save_freq=150,
          save_path=str(tmp_path / "logs/gail/"),
          name_prefix="gail",
      )
      model.learn(total_timesteps=301, callback=checkpoint_callback)
      shutil.rmtree(str(tmp_path / "logs/gail/"))
      del dataset, model
  
imports: import os
  import shutil
  import gym
  import numpy
  import pytest
  from stable_baselines import A2C, ACER, ACKTR, GAIL, DDPG, DQN, PPO1, PPO2, TD3, TRPO, SAC
  from stable_baselines.common.cmd_util import make_atari_env
  from stable_baselines.common.vec_env import VecFrameStack, DummyVecEnv
  from stable_baselines.common.evaluation import evaluate_policy
  from stable_baselines.common.callbacks import CheckpointCallback
  from stable_baselines.gail import ExpertDataset, generate_expert_traj
label_desc: Use image node_id 6 for calling a global function with example usage: test_gail_callback(tmp_path) without return types