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 getRandomEncryptedSentence(self, size):  # pragma: no cover
      sents = self.getRandomSentence(size)
  
      sentsEncrypted = self.crypto.randomEncrypt(sents)
      return {
          "PlainText Sentences": sents,
          "Encrypted Texts": sentsEncrypted,
      }
  
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 4 for calling the encipher obj's underlying member method code with example usage: obj.getRandomEncryptedSentence(size) and returns: dict