class_docstr: Generates encrypted text. Used for the NN and test_generator
class_docstr_tok: ["Generates","encrypted","text",".","Used","for","the","NN","and","test_generator"]
code: def getRandomSentence(self, size):  # pragma: no cover
      return TreebankWordDetokenizer().detokenize(
          random.sample(self.text, random.randint(1, size))
      )
  
imports: import base64
  import binascii
  import random
  import re
  import string
  import base58
  import base62
  import cipheycore
  import cipheydists
  import nltk
  from nltk.tokenize.treebank import TreebankWordDetokenizer
label_desc: Use image node_id 3 for calling the encipher obj's underlying member method code with example usage: obj.getRandomSentence(size) and returns: TreebankWordDetokenizer