code: def local_cache_path(remote_url):
      global _LUCID_CACHE_DIR
      """Returns the path that remote_url would be cached at locally."""
      local_name = RESERVED_PATH_CHARS.sub("_", remote_url)
      if len(local_name) > MAX_FILENAME_LENGTH:
          filename_hash = hashlib.sha256(
              local_name.encode("utf-8")
          ).hexdigest()
          truncated_name = (
              local_name[
                  : (MAX_FILENAME_LENGTH - (len(filename_hash)) - 1)
              ]
              + "-"
              + filename_hash
          )
          log.debug(
              f"truncated long cache filename to {truncated_name} (original {len(local_name)} char name: {local_name}"
          )
          local_name = truncated_name
      if _LUCID_CACHE_DIR is None:
          _LUCID_CACHE_DIR = os.path.join(
              gettempdir(), LUCID_CACHE_DIR_NAME
          )
          if not os.path.exists(_LUCID_CACHE_DIR):
              # folder might exist if another thread/process creates it concurrently, this would be ok
              os.makedirs(_LUCID_CACHE_DIR, exist_ok=True)
              log.info(f"created lucid cache dir at {_LUCID_CACHE_DIR}")
      return os.path.join(_LUCID_CACHE_DIR, local_name)
  
imports: from contextlib import contextmanager
  import hashlib
  import os
  import re
  import logging
  from urllib.parse import urlparse
  from urllib import request
  from tensorflow.io.gfile import GFile
  import tensorflow
  from tempfile import gettempdir
  import gc
  from filelock import FileLock
  from lucid.misc.io.writing import write_handle
  from lucid.misc.io.scoping import scope_url
  from functools import partial
label_desc: Use image node_id 6 for calling a global function with example usage: local_cache_path(remote_url) and returns: os