code: def download(url):
      """Download a trained weights, config and preprocessor.
  
      Args:
          url (str): target url.
      """
      filepath = get_file(fname="tmp.zip", origin=url, extract=True)
      base_dir = os.path.dirname(filepath)
      weights_file = os.path.join(base_dir, "weights.h5")
      params_file = os.path.join(base_dir, "params.json")
      preprocessor_file = os.path.join(base_dir, "preprocessor.pickle")
  
      return weights_file, params_file, preprocessor_file
  
imports: import math
  import os
  from collections import Counter
  import numpy
  from keras.utils import Sequence, get_file
label_desc: Use image node_id 1 for calling a global function with example usage: download(url) and returns: weights_file,  params_file,  preprocessor_file