code: def cache(self, name, cache, url=None, backup_url=None):
      path = os.path.join(cache, name)
      if not os.path.isfile(path) and url:
          if not os.path.exists(self.destination):
              logger.info(
                  "Downloading vectors from {} to {}".format(
                      url, self.destination
                  )
              )
              if not os.path.exists(cache):
                  os.makedirs(cache)
              if not os.path.isfile(self.destination):
                  if "drive.google.com" in url:
                      try:
                          download_from_url(url, self.destination)
                      except RuntimeError as err:
                          if "quota was exceeded" in str(err):
                              logger.info(
                                  "Unable to fetch cached English Word Embeddings"
                                  " from {}\nDownloading embeddings from {} to {}".format(
                                      url,
                                      backup_url,
                                      self.backup_destination,
                                  )
                              )
                              if not os.path.exists(
                                  self.backup_destination
                              ):
                                  urlretrieve(
                                      backup_url,
                                      self.backup_destination,
                                  )
                              self.destination = self.backup_destination
                  else:
                      urlretrieve(url, self.destination)
          logger.info("Extracting vectors into {}".format(cache))
          ext = os.path.splitext(self.destination)[1][1:]
          if ext == "zip":
              with zipfile.ZipFile(self.destination, "r") as zf:
                  zf.extractall(cache)
          elif ext == "gz":
              try:
                  with tarfile.open(self.destination, "r:gz") as tar:
                      tar.extractall(path=cache)
              except:
                  with gzip.open(self.destination, "rb") as infile:
                      with open(path, "wb") as outfile:
                          shutil.copyfileobj(infile, outfile)
      if not os.path.isfile(path):
          raise RuntimeError("no vectors found at {}".format(path))
  
      self.model = fasttext.load_model(path)
      self.dim = len(self["a"])
  
imports: import gzip
  import logging
  import os
  import shutil
  import tarfile
  import zipfile
  import nltk
  import six
  import fasttext
  import torch
  from torchtext.legacy import data, vocab
  from torchtext.utils import download_from_url
  from urllib.request import urlretrieve
label_desc: Use image node_id 3 for calling the FastTextBinary obj's underlying member method code with example usage: obj.cache(name, cache, url, backup_url) without return types