class_docstr: Holds the encryption functions
  can randomly select an encryption function  use on text
  returns:
      {"text": t, "plaintext": c, "cipher": p, "succeeds": False}
  
  where succeeds is whether or not the text is really encrypted or falsely decrypted
  
  Uses Cyclic3's module  generate pseudo random text
class_docstr_tok: ["Holds","the","encryption","functions","can","randomly","select","an","encryption","function","use","on","text","returns",":","{","``","text","''",":","t",",","``","plaintext","''",":","c",",","``","cipher","''",":","p",",","``","succeeds","''",":","False","}","where","succeeds","is","whether","or","not","the","text","is","really","encrypted","or","falsely","decrypted","Uses","Cyclic3","'s","module","generate","pseudo","random","text"]
code: def Ascii(self, text: str) -> str:  # pragma: no cover
      res = [ord(c) for c in text]
      return " ".join([str(x) for x in res])
  
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 11 for calling the encipher_crypto obj's underlying member method code with example usage: obj.Ascii(text) and returns: str