code: def setup_args():
      """
      Set up args.
      """
      parser = ParlaiParser(False, False)
      parser.add_parlai_data_path()
      cc = parser.add_argument_group("Download Support Docs")
      cc.add_argument(
          "-nw",
          "--slsize",
          default=716,
          type=int,
          metavar="N",
          help="number of wet files in a slice",
      )
      cc.add_argument(
          "-ns",
          "--slnum",
          default=0,
          type=int,
          metavar="N",
          help="commoncrawl slice number [0, ..., 71520 / args.slsize]",
      )
      cc.add_argument(
          "-wf",
          "--wet_urls",
          default="pre_computed/wet.paths",
          type=str,
          help="path from data folder to file containing WET file URLs",
      )
      cc.add_argument(
          "-sr_l",
          "--subreddit_names",
          default='["explainlikeimfive"]',
          type=str,
          help="subreddit names",
      )
      cc.add_argument(
          "-nu",
          "--n_urls",
          default=100,
          type=int,
          metavar="N",
          help="number of support documents to gather for each example",
      )
      cc.add_argument(
          "-sfq",
          "--save_freq",
          default=50,
          type=int,
          metavar="N",
          help="how often are results written to file",
      )
      cc.add_argument(
          "-o",
          "--output_dir",
          default="eli5",
          type=str,
          help="where to save the output in data folder",
      )
      cc.add_argument(
          "-u",
          "--urls",
          type=str,
          help="path to a json file of URLs to gather (in a list format)",
      )
      cc.add_argument(
          "-ids",
          "--ccuids",
          type=str,
          help="path to a json file of Common Crawl IDs to gather (in a list format)",
      )
      return parser.parse_args()
  
file_path: ParlAI/parlai/tasks/eli5/data_creation/download_support_docs.py
imports: import json
  import subprocess
  from os.path import join
  from os.path import isfile
  from os.path import isdir
  from time import time
  from parlai.core.params import ParlaiParser
  from data_utils import word_url_tokenize, make_ccid_filter
  from parlai.utils.io import PathManager
label_desc: Use image node_id 5 for calling a global function with example usage: setup_args() and returns: parser