code: def parse_page(raw_page):
      """Create a dictionary with title, id, and list of revisions.
  
      The dictionary contains:
      "title": a string
      "id": an integer
      "revisions": a list of strings
  
      Args:
        raw_page: a string
  
      Returns:
        a dictionary, or None in the case of an error.
      """
      ret = {"title": get_title(raw_page), "id": get_id(raw_page)}
      if ":" in ret["title"]:
          return None
      ret["revisions"] = get_revisions(raw_page)
      return ret
  
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 7 for calling a global function with example usage: parse_page(raw_page) and returns: ret, None