code: def main():
      """
      Runs the test
      """
      args = mujoco_arg_parser().parse_args()
      logger.configure()
      model, env = train(
          args.env, num_timesteps=args.num_timesteps, seed=args.seed
      )
  
      if args.play:
          logger.log("Running trained model")
          obs = np.zeros((env.num_envs,) + env.observation_space.shape)
          obs[:] = env.reset()
          while True:
              actions = model.step(obs)[0]
              obs[:] = env.step(actions)[0]
              env.render()
  
file_path: stable-baselines/stable_baselines/ppo2/run_mujoco.py
imports: import numpy
  import gym
  from stable_baselines.common.cmd_util import mujoco_arg_parser
  from stable_baselines import bench, logger
  from stable_baselines.common import set_global_seeds
  from stable_baselines.common.vec_env.vec_normalize import VecNormalize
  from stable_baselines.ppo2 import PPO2
  from stable_baselines.common.policies import MlpPolicy
  from stable_baselines.common.vec_env.dummy_vec_env import DummyVecEnv
label_desc: Use image node_id 2 for calling a global function with example usage: main() without return types