code: def encoding_demo():
      import sys
  
      from nltk.classify.maxent import TadmEventMaxentFeatureEncoding
  
      tokens = [
          ({"f0": 1, "f1": 1, "f3": 1}, "A"),
          ({"f0": 1, "f2": 1, "f4": 1}, "B"),
          ({"f0": 2, "f2": 1, "f3": 1, "f4": 1}, "A"),
      ]
      encoding = TadmEventMaxentFeatureEncoding.train(tokens)
      write_tadm_file(tokens, encoding, sys.stdout)
      print()
      for i in range(encoding.length()):
          print("%s --> %d" % (encoding.describe(i), i))
      print()
  
file_path: nltk/nltk/classify/tadm.py
imports: import subprocess
  import sys
  from nltk.internals import find_binary
label_desc: Use image node_id 6 for calling a global function with example usage: encoding_demo() without return types