code: def main(_):
      logging.set_verbosity(logging.INFO)
      tf.enable_v2_behavior()
  
      gin.parse_config_files_and_bindings(
          FLAGS.gin_file, FLAGS.gin_bindings
      )
  
      # Wait for the collect policy to become available, then load it.
      collect_policy_dir = os.path.join(
          FLAGS.root_dir,
          learner.POLICY_SAVED_MODEL_DIR,
          learner.COLLECT_POLICY_SAVED_MODEL_DIR,
      )
      collect_policy = train_utils.wait_for_policy(
          collect_policy_dir, load_specs_from_pbtxt=True
      )
  
      # Prepare summary directory.
      summary_dir = os.path.join(
          FLAGS.root_dir, learner.TRAIN_DIR, str(FLAGS.task)
      )
  
      # Perform collection.
      collect(
          summary_dir=summary_dir,
          environment_name=FLAGS.env_name,
          collect_policy=collect_policy,
          replay_buffer_server_address=FLAGS.replay_buffer_server_address,
          variable_container_server_address=FLAGS.variable_container_server_address,
      )
  
imports: import os
  from typing import Callable, Text
  from absl import app
  from absl import flags
  from absl import logging
  import gin
  import reverb
  import tensorflow.compat.v2
  from tf_agents.environments import py_environment
  from tf_agents.environments import suite_mujoco
  from tf_agents.experimental.distributed import reverb_variable_container
  from tf_agents.metrics import py_metrics
  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.utils import train_utils
label_desc: Use image node_id 2 for calling a global function with example usage: main(_) without return types