code: def load_cached(filename):
      """Downloads and caches files from web storage."""
      pathname = os.path.join(METAGRAPH_CACHE, filename)
      try:
          with tf.io.gfile.GFile(pathname, "rb") as f:
              string = f.read()
      except tf.errors.NotFoundError:
          url = f"{URL_PREFIX}/{filename}"
          request = urllib.request.urlopen(url)
          try:
              string = request.read()
          finally:
              request.close()
          tf.io.gfile.makedirs(os.path.dirname(pathname))
          with tf.io.gfile.GFile(pathname, "wb") as f:
              f.write(string)
      return string
  
imports: import argparse
  import io
  import os
  import sys
  import urllib
  from absl import app
  from absl.flags import argparse_flags
  import numpy
  import tensorflow
  import tensorflow_compression
label_desc: Use image node_id 3 for calling a global function with example usage: load_cached(filename) and returns: string