code: def _get_language_modeling_inputs(
      filename,
      delimiter="\n",
      repeat=1,
      append_space_to_final_punctionation=True,
  ):
      """Read a file of partial texts to continue.
  
      The purpose of append_space_to_final_punctionation is that SubwordTokenizer
      groups punctuation and the ensuing space in the same token.  Adding a space
      causes the token to be completed.
  
      Args:
        filename: a string
        delimiter: a string
        repeat: an integer - we repeat the entire file that many times.
        append_space_to_final_punctionation: a boolean
  
      Returns:
        a list of strings
      """
      with tf.gfile.Open(filename) as f:
          text = f.read()
      inputs = text.split(delimiter)
      if not inputs[-1]:
          inputs.pop()
      inputs *= repeat
      if append_space_to_final_punctionation:
          inputs = [
              s + " " if s and s[-1] in string.punctuation else s
              for s in inputs
          ]
      return inputs
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import collections
  import operator
  import os
  import re
  import string
  import time
  import numpy
  import six
  from six.moves import input
  from tensor2tensor.data_generators import problem
  from tensor2tensor.data_generators import text_encoder
  from tensor2tensor.data_generators import text_problems
  from tensor2tensor.utils import contrib
  from tensor2tensor.utils import hparam
  from tensor2tensor.utils import mlperf_log
  from tensor2tensor.utils import registry
  import tensorflow.compat.v1
  from tensorflow.compat.v1 import estimator
label_desc: Use image node_id 14 for calling a global function with example usage: _get_language_modeling_inputs(filename, delimiter, repeat, append_space_to_final_punctionation) and returns: inputs