code: def parse_args():
      parser = ArgumentParser(
          description="Train a Nerual Collaborative"
          " Filtering model converter"
      )
      parser.add_argument(
          "data", type=str, help="path to test and training data files"
      )
      parser.add_argument("--user_scaling", default=16, type=int)
      parser.add_argument("--item_scaling", default=32, type=int)
      parser.add_argument(
          "--seed",
          "-s",
          default=0,
          type=int,
          help="manually set random seed for numpy",
      )
      return parser.parse_args()
  
file_path: autodist/examples/benchmark/utils/recommendation/transform_npz.py
imports: from argparse import ArgumentParser
  from datetime import datetime
  import numpy
  import six
  import tensorflow
  from utils.recommendation.movielens import RATING_COLUMNS
label_desc: Use image node_id 1 for calling a global function with example usage: parse_args() and returns: parser