code: def main(_):
      tf.random.set_seed(1234)
      if FLAGS.use_pipeline:
          pipeline_train_and_eval()
      else:
          standalone_train_and_eval()
  
imports: import os
  from typing import List
  from absl import app
  from absl import flags
  from absl import logging
  import tensorflow
  import tensorflow_ranking
label_desc: Use image node_id 5 for calling a global function with example usage: main(_) without return types