code: def download_images(
      dest,
      url_file=None,
      urls=None,
      max_pics=1000,
      n_workers=8,
      timeout=4,
      preserve_filename=False,
  ):
      "Download images listed in text file `url_file` to path `dest`, at most `max_pics`"
      if urls is None:
          urls = url_file.read_text().strip().split("\n")[:max_pics]
      dest = Path(dest)
      dest.mkdir(exist_ok=True)
      parallel(
          partial(
              _download_image_inner,
              dest,
              timeout=timeout,
              preserve_filename=preserve_filename,
          ),
          list(enumerate(urls)),
          n_workers=n_workers,
          threadpool=True,
      )
  
file_path: fastai/fastai/vision/utils.py
imports: from __future__ import annotations
  import uuid
  from ..torch_basics import *
  from ..data.all import *
  from .core import *
  from fastdownload import download_url
  from pathlib import Path
label_desc: Use image node_id 3 for calling a global function with example usage: download_images(dest, url_file, urls, max_pics, n_workers, timeout, preserve_filename) without return types