code: def demo_generated_templates():
      """
      Template.expand and Feature.expand are class methods facilitating
      generating large amounts of templates. See their documentation for
      details.
  
      Note: training with 500 templates can easily fill all available
      even on relatively small corpora
      """
      wordtpls = Word.expand([-1, 0, 1], [1, 2], excludezero=False)
      tagtpls = Pos.expand([-2, -1, 0, 1], [1, 2], excludezero=True)
      templates = list(
          Template.expand([wordtpls, tagtpls], combinations=(1, 3))
      )
      print(
          "Generated {} templates for transformation-based learning".format(
              len(templates)
          )
      )
      postag(
          templates=templates,
          incremental_stats=True,
          template_stats=True,
      )
  
imports: import os
  import pickle
  import random
  import time
  from nltk.corpus import treebank
  from nltk.tag import BrillTaggerTrainer, RegexpTagger, UnigramTagger
  from nltk.tag.brill import Pos, Word
  from nltk.tbl import Template, error_list
label_desc: Use image node_id 8 for calling a global function with example usage: demo_generated_templates() without return types