code: def main(_):
      logging.set_verbosity(logging.INFO)
      tf.compat.v1.enable_v2_behavior()
      train_eval(
          FLAGS.root_dir,
          env_name=FLAGS.env_name,
          use_rnns=FLAGS.use_rnns,
          num_environment_steps=FLAGS.num_environment_steps,
          collect_episodes_per_iteration=FLAGS.collect_episodes_per_iteration,
          num_parallel_environments=FLAGS.num_parallel_environments,
          replay_buffer_capacity=FLAGS.replay_buffer_capacity,
          num_epochs=FLAGS.num_epochs,
          num_eval_episodes=FLAGS.num_eval_episodes,
      )
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import functools
  import os
  import time
  from absl import app
  from absl import flags
  from absl import logging
  import gin
  import tensorflow
  from tf_agents.agents.ppo import ppo_clip_agent
  from tf_agents.drivers import dynamic_episode_driver
  from tf_agents.environments import parallel_py_environment
  from tf_agents.environments import suite_mujoco
  from tf_agents.environments import tf_py_environment
  from tf_agents.eval import metric_utils
  from tf_agents.metrics import tf_metrics
  from tf_agents.networks import actor_distribution_network
  from tf_agents.networks import actor_distribution_rnn_network
  from tf_agents.networks import value_network
  from tf_agents.networks import value_rnn_network
  from tf_agents.policies import policy_saver
  from tf_agents.replay_buffers import tf_uniform_replay_buffer
  from tf_agents.system import system_multiprocessing
  from tf_agents.utils import common
label_desc: Use image node_id 2 for calling a global function with example usage: main(_) without return types