code: def load_file_from_url(
      url,
      model_dir=None,
      progress=True,
      check_hash=False,
      file_name=None,
  ):
      if model_dir is None:
          hub_dir = get_dir()
          model_dir = os.path.join(hub_dir, "checkpoints")
  
      try:
          os.makedirs(model_dir)
      except OSError as e:
          if e.errno == errno.EEXIST:
              # Directory already exists, ignore.
              pass
          else:
              # Unexpected OSError, re-raise.
              raise
  
      parts = urlparse(url)
      filename = os.path.basename(parts.path)
      if file_name is not None:
          filename = file_name
      cached_file = os.path.join(model_dir, filename)
      if not os.path.exists(cached_file):
          sys.stderr.write(
              'Downloading: "{}" to {}\n'.format(url, cached_file)
          )
          hash_prefix = None
          if check_hash:
              r = HASH_REGEX.search(
                  filename
              )  # r is Optional[Match[str]]
              hash_prefix = r.group(1) if r else None
          download_url_to_file(
              url, cached_file, hash_prefix, progress=progress
          )
  
      return cached_file
  
imports: import os
  import sys
  import errno
  import torch
  import math
  import numpy
  import cv2
  from skimage import io
  from skimage import color
  from numba import jit
  from urllib.parse import urlparse
  from torch.hub import download_url_to_file, HASH_REGEX
label_desc: Use image node_id 13 for calling a global function with example usage: load_file_from_url(url, model_dir, progress, check_hash, file_name) and returns: cached_file