from __future__ import annotations

import random
import string
class 				a_ :






 '''simple docstring'''






 def __init__(			self					:  List[Any]			,    lowercase__					:  str | None = None):







        '''simple docstring'''



        lowerCAmelCase__     	=					passcode or self.__passcode_creator()
        lowerCAmelCase__     	=					self.__make_key_list()
        lowerCAmelCase__     	=					self.__make_shift_key()




 def __str__(			self					:  Optional[Any]):







        '''simple docstring'''



        return "".join(self.__passcode)




 def 		__snake_case						(			self					:  Tuple			,    lowercase__					:  list[int]):







        '''simple docstring'''



        for i in range(1			,    len(lowercase__)			,    2):
               iterlist[i] *= -1
        return iterlist




 def 		__snake_case						(			self					:  Optional[int]):







        '''simple docstring'''



        lowerCAmelCase__     	=					string.ascii_letters + string.digits
        lowerCAmelCase__     	=					[random.choice(lowercase__) for _ in range(random.randint(10			,    20))]
        return password




 def 		__snake_case						(			self					:  List[Any]):







        '''simple docstring'''



        lowerCAmelCase__     	=					(
            string.ascii_letters + string.digits + string.punctuation + ' \t\n'
        )

        lowerCAmelCase__     	=					[]

        # creates points known as breakpoints to break the key_list_options at those
        # points and pivot each substring
        lowerCAmelCase__     	=					sorted(set(self.__passcode))
        lowerCAmelCase__     	=					[]

        # algorithm for creating a new shuffled list, keys_l, out of key_list_options
        for i in key_list_options:
               temp_list.extend(lowercase__)

               # checking breakpoints at which to pivot temporary sublist and add it into
               # keys_l
               if i in breakpoints or i == key_list_options[-1]:
                      keys_l.extend(temp_list[::-1])
                      temp_list.clear()

        # returning a shuffled keys_l to prevent brute force guessing of shift key
        return keys_l




 def 		__snake_case						(			self					:  Optional[int]):







        '''simple docstring'''



        lowerCAmelCase__     	=					sum(self.__neg_pos([ord(lowercase__) for x in self.__passcode]))
        return num if num > 0 else len(self.__passcode)




 def 		__snake_case						(			self					:  List[str]			,    lowercase__					:  str):







        '''simple docstring'''



        lowerCAmelCase__     	=					''

        # decoding shift like Caesar cipher algorithm implementing negative shift or
        # reverse shift or left shift
        for i in encoded_message:
               lowerCAmelCase__     	=					self.__key_list.index(lowercase__)
               decoded_message += self.__key_list[
                   (position - self.__shift_key) % -len(self.__key_list)
               ]

        return decoded_message




 def 		__snake_case						(			self					:  int			,    lowercase__					:  str):







        '''simple docstring'''



        lowerCAmelCase__     	=					''

        # encoding shift like Caesar cipher algorithm implementing positive shift or
        # forward shift or right shift
        for i in plaintext:
               lowerCAmelCase__     	=					self.__key_list.index(lowercase__)
               encoded_message += self.__key_list[
                   (position + self.__shift_key) % len(self.__key_list)
               ]

        return encoded_message






def       __lowerCamelCase		(						lowerCAmelCase__ = "Hello, this is a modified Caesar cipher"	):
       lowerCAmelCase__     	=					ShuffledShiftCipher()
       return cipa.decrypt(cipa.encrypt(lowerCAmelCase__	)	)


if __name__ == "__main__":
    import doctest

    doctest.testmod()

from ..utils import DummyObject, requires_backends
class 				a_ (						metaclass=SCREAMING_SNAKE_CASE						):






 '''simple docstring'''






 UpperCAmelCase_	 =					['tensorflow_text']




 def __init__(			self					:  Tuple			,    *lowercase__					:  str			,    **lowercase__					:  Union[str, Any]):







        '''simple docstring'''



        requires_backends(self			,    ['tensorflow_text'])
