code: def strip_text(text):
      """Strip wikipedia-stuff out of text, making it mostly prose.
  
      The reason for this is to learn a model that is good at editing prose.
  
      Args:
        text: a string
  
      Returns:
        a string
      """
      return _remove_boring_lines(
          _remove_triple_quotes(
              _remove_double_brackets(
                  _remove_references(_remove_curly_braces(text))
              )
          )
      )
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import math
  import os
  import random
  import re
  import subprocess
  from tensor2tensor.data_generators import generator_utils
  from tensor2tensor.data_generators import text_encoder
  import tensorflow.compat.v1
label_desc: Use image node_id 11 for calling a global function with example usage: strip_text(text) and returns: _remove_boring_lines