code: def _read_words(filename):
      """Reads words from a file."""
      with tf.gfile.GFile(filename, "r") as f:
          if sys.version_info[0] >= 3:
              return f.read().replace("\n", " %s " % EOS).split()
          else:
              return (
                  f.read()
                  .decode("utf-8")
                  .replace("\n", " %s " % EOS)
                  .split()
              )
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import collections
  import os
  import sys
  import tarfile
  from tensor2tensor.data_generators import generator_utils
  from tensor2tensor.data_generators import problem
  from tensor2tensor.data_generators import text_encoder
  from tensor2tensor.data_generators import text_problems
  from tensor2tensor.utils import registry
  import tensorflow.compat.v1
label_desc: Use image node_id 1 for calling a global function with example usage: _read_words(filename) and returns: f, f