code: def get_from_cache(
      url: str, cache_dir: Union[str, Path] = None
  ) -> str:
      """
      Given a URL, look for the corresponding dataset in the local cache.
      If it's not there, download it. Then return the path to the cached file.
      """
      if cache_dir is None:
          cache_dir = PYTORCH_PRETRAINED_BERT_CACHE
      if isinstance(cache_dir, Path):
          cache_dir = str(cache_dir)
  
      os.makedirs(cache_dir, exist_ok=True)
  
      # Get eTag to add to filename, if it exists.
      if url.startswith("s3://"):
          etag = s3_etag(url)
      else:
          response = requests.head(url, allow_redirects=True)
          if response.status_code != 200:
              raise IOError(
                  "HEAD request failed for url {} with status code {}".format(
                      url, response.status_code
                  )
              )
          etag = response.headers.get("ETag")
  
      filename = url_to_filename(url, etag)
  
      # get cache path to put the file
      cache_path = os.path.join(cache_dir, filename)
  
      if not os.path.exists(cache_path):
          # Download to temporary file, then copy to cache dir once finished.
          # Otherwise you get corrupt cache entries if the download gets interrupted.
          with tempfile.NamedTemporaryFile() as temp_file:
              logger.info(
                  "%s not found in cache, downloading to %s",
                  url,
                  temp_file.name,
              )
  
              # GET file object
              if url.startswith("s3://"):
                  s3_get(url, temp_file)
              else:
                  http_get(url, temp_file)
  
              # we are copying the file before closing it, so flush to avoid truncation
              temp_file.flush()
              # shutil.copyfileobj() starts at the current position, so go to the start
              temp_file.seek(0)
  
              logger.info(
                  "copying %s to cache at %s",
                  temp_file.name,
                  cache_path,
              )
              with open(cache_path, "wb") as cache_file:
                  shutil.copyfileobj(temp_file, cache_file)
  
              logger.info("creating metadata file for %s", cache_path)
              meta = {"url": url, "etag": etag}
              meta_path = cache_path + ".json"
              with open(meta_path, "w") as meta_file:
                  json.dump(meta, meta_file)
  
              logger.info("removing temp file %s", temp_file.name)
  
      return cache_path
  
imports: import os
  import logging
  import shutil
  import tempfile
  import json
  from urllib.parse import urlparse
  from pathlib import Path
  from typing import Optional, Tuple, Union, IO, Callable, Set
  from hashlib import sha256
  from functools import wraps
  from tqdm import tqdm
  import boto3
  from botocore.exceptions import ClientError
  import requests
label_desc: Use image node_id 9 for calling a global function with example usage: get_from_cache(url, cache_dir) and returns: cache_path