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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 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