code: def get_text(revision, strip=True):
      """Extract the text from a revision.
  
      Args:
        revision: a string
        strip: a boolean
  
      Returns:
        a string
      """
      # text start tag looks like "<text ..otherstuff>"
      start_pos = revision.find("<text")
      assert start_pos != -1
      end_tag_pos = revision.find(">", start_pos)
      assert end_tag_pos != -1
      end_tag_pos += len(">")
      end_pos = revision.find("</text>")
      if end_pos == -1:
          ret = ""
      else:
          ret = revision[end_tag_pos:end_pos]
      if strip:
          ret = strip_text(ret)
      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 10 for calling a global function with example usage: get_text(revision, strip) and returns: ret