code: def main(_):
      gin.parse_config_files_and_bindings(
          FLAGS.gin_file, FLAGS.gin_bindings
      )
  
      train_eval(
          FLAGS.root_dir,
          num_iterations=FLAGS.num_iterations,
          reverb_port=FLAGS.reverb_port,
          eval_interval=FLAGS.eval_interval,
      )
  
imports: import functools
  import os
  from absl import app
  from absl import flags
  from absl import logging
  import gin
  import reverb
  import tensorflow.compat.v2
  from tf_agents.agents.dqn import dqn_agent
  from tf_agents.environments import suite_atari
  from tf_agents.metrics import py_metrics
  from tf_agents.networks import sequential
  from tf_agents.policies import py_tf_eager_policy
  from tf_agents.policies import random_py_policy
  from tf_agents.replay_buffers import reverb_replay_buffer
  from tf_agents.replay_buffers import reverb_utils
  from tf_agents.system import system_multiprocessing
  from tf_agents.train import actor
  from tf_agents.train import learner
  from tf_agents.train import triggers
  from tf_agents.train.utils import spec_utils
  from tf_agents.train.utils import train_utils
  from tf_agents.utils import common
label_desc: Use image node_id 3 for calling a global function with example usage: main(_) without return types