code: def read(url, encoding=None, cache=None, mode="rb"):
      """Read from any URL.
  
      Internally differentiates between URLs supported by tf.gfile, such as URLs
      with the Google Cloud Storage scheme ('gs://...') or local paths, and HTTP
      URLs. This way users don't need to know about the underlying fetch mechanism.
  
      Args:
          url: a URL including scheme or a local path
          mode: mode in which to open the file. defaults to binary ('rb')
          encoding: if specified, encoding that should be used to decode read data
            if mode is specified to be text ('r'), this defaults to 'utf-8'.
          cache: whether to attempt caching the resource. Defaults to True only if
            the given URL specifies a remote resource.
      Returns:
          All bytes form the specified resource, or a decoded string of those.
      """
      with read_handle(url, cache, mode=mode) as handle:
          data = handle.read()
  
      if encoding:
          data = data.decode(encoding)
  
      return data
  
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 1 for calling a global function with example usage: read(url, encoding, cache, mode) and returns: data