code: def main(_):
      tf.compat.v1.enable_v2_behavior()
      logging.set_verbosity(logging.INFO)
      gin.parse_config_files_and_bindings(
          FLAGS.gin_file, FLAGS.gin_param
      )
      train_eval(FLAGS.root_dir, num_iterations=FLAGS.num_iterations)
  
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
  from six.moves import range
  import tensorflow
  from tf_agents.agents.ddpg import actor_rnn_network
  from tf_agents.agents.ddpg import critic_rnn_network
  from tf_agents.agents.ddpg import ddpg_agent
  from tf_agents.drivers import dynamic_episode_driver
  from tf_agents.environments import suite_dm_control
  from tf_agents.environments import tf_py_environment
  from tf_agents.environments import wrappers
  from tf_agents.eval import metric_utils
  from tf_agents.metrics import tf_metrics
  from tf_agents.replay_buffers import tf_uniform_replay_buffer
  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