code: def parse_args() -> None:
      import argparse
  
      parser = argparse.ArgumentParser(
          description="Download or generate a fake dataset for training resnet50 in TensorFlow."  # noqa: E501
      )
      parser.add_argument(
          "--num-shards",
          type=int,
          default=32,
          help="The number of files to create in the output directory.",
      )
      parser.add_argument(
          "--output-directory",
          type=str,
          required=True,
          help="The directory in which to place the fake dataset files.",
      )
  
      parser.add_argument(
          "--single-image-url",
          type=str,
          default=DEFAULT_IMAGE_URL,
          help="If --shard-url is not provided, use the image found at this URL to generate a fake dataset.",  # noqa: E501
      )
  
      parser.add_argument(
          "--num-nodes",
          type=int,
          default=1,
          help="The total number of nodes to expect in the cluster. "
          "Files will be generated on each of these nodes.",
      )
  
      input_data_group = parser.add_mutually_exclusive_group(
          required=True
      )
      input_data_group.add_argument(
          "--shard-url",
          type=str,
          default=None,
          help="Download this shard and copy it --num-shards times.",
      )
      input_data_group.add_argument(
          "--num-images-per-shard",
          type=int,
          help="Copy the image at --single-image-url this many times and store in each tfrecord shard.",  # noqa: E501
      )
  
      args = parser.parse_args()
      return args
  
imports: from typing import Union, Iterable, Tuple, Optional
  import os
  import requests
  import shutil
  import sys
  import tensorflow.compat.v1
  import time
  from ray.util.scheduling_strategies import NodeAffinitySchedulingStrategy
  import ray
label_desc: Use image node_id 1 for calling a global function with example usage: parse_args() and returns: args