original_docstring:  Pad list of sentences according to the longest sentence in the batch.
          The paddings should be at the end of each sentence.
      @param sents (list[list[str]]): list of sentences, where each sentence
                                      is represented as a list of words
      @param pad_token (str): padding token
      @returns sents_padded (list[list[str]]): list of sentences where sentences shorter
          than the max length sentence are padded out with the pad_token, such that
          each sentences in the batch now has equal length.
      
docstring: Pad list of sentences according to the longest sentence in the batch.
  The paddings should be at the end of each sentence.
  @param sents (list[list[str]]): list of sentences, where each sentence
  is represented as a list of words
  @param pad_token (str): padding token
  @returns sents_padded (list[list[str]]): list of sentences where sentences shorter
  than the max length sentence are padded out with the pad_token, such that
  each sentences in the batch now has equal length.
docstring_tokens: Pad list of sentences according to the longest sentence in the batch . The paddings should be at the end of each sentence . @param sents ( list [ list [ str ]] ) : list of sentences where each sentence is represented as a list of words @param pad_token ( str ) : padding token @returns sents_padded ( list [ list [ str ]] ) : list of sentences where sentences shorter than the max length sentence are padded out with the pad_token such that each sentences in the batch now has equal length .
code: def pad_sents(sents, pad_token):
      """ Pad list of sentences according to the longest sentence in the batch.
          The paddings should be at the end of each sentence.
      @param sents (list[list[str]]): list of sentences, where each sentence
                                      is represented as a list of words
      @param pad_token (str): padding token
      @returns sents_padded (list[list[str]]): list of sentences where sentences shorter
          than the max length sentence are padded out with the pad_token, such that
          each sentences in the batch now has equal length.
      """
      sents_padded = []
  
      # Find max_length from input batch sentence
      len_x = [len(x) for x in sents]
      len_x.sort()
      max_length = len_x[-1]
      for sentence in sents:
          new_sentence = sentence + [pad_token] * (max_length - len(sentence))
          sents_padded.append(new_sentence)
  
      return sents_padded
code_tokens: def pad_sents ( sents , pad_token ) : sents_padded = [ ] len_x = [ len ( x ) for x in sents ] len_x . sort ( ) max_length = len_x [ - 1 ] for sentence in sents : new_sentence = sentence + [ pad_token ] * ( max_length - len ( sentence ) ) sents_padded . append ( new_sentence ) return sents_padded
short_docstring: Pad list of sentences according to the longest sentence in the batch.
short_docstring_tokens: Pad list of sentences according to the longest sentence in the batch .
comment: """ Pad list of sentences according to the longest sentence in the batch.
          The paddings should be at the end of each sentence.
      @param sents (list[list[str]]): list of sentences, where each sentence
                                      is represented as a list of words
      @param pad_token (str): padding token
      @returns sents_padded (list[list[str]]): list of sentences where sentences shorter
          than the max length sentence are padded out with the pad_token, such that
          each sentences in the batch now has equal length.
      """$SEP$# Find max_length from input batch sentence