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 read_text(self):  # pragma: no cover
      f = open("hansard.txt", encoding="ISO-8859-1")
      x = f.read()
      splits = nltk.tokenize.sent_tokenize(x)
      return splits
  
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 2 for calling the encipher obj's underlying member method code with example usage: obj.read_text() and returns: splits