






from __future__ import annotations

import random
import string






class  UpperCamelCase    :


 def __init__(  self	:		Any							,		UpperCAmelCase__	:		Tuple = None							)      -> None:
   _a						: Any    =			passcode or self.__passcode_creator()
   _a						: Any    =			self.__make_key_list()
   _a						: List[Any]    =			self.__make_shift_key()


 def __str__(  self	:		Optional[Any]							)      -> str:
   return "".join(self.__passcode							)


 def _lowercase			(  self	:		List[str]							,		UpperCAmelCase__	:		Any							)      -> list[int]:



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


 def _lowercase			(  self	:		Optional[int]							)      -> list[str]:
   _a						: int    =			string.ascii_letters + string.digits
   _a						: Optional[int]    =			[random.choice(lowerCamelCase__							) for _ in range(random.randint(10							,		20							)							)]
   return password


 def _lowercase			(  self	:		Union[str, Any]							)      -> list[str]:
   _a						: List[Any]    =			(
       string.ascii_letters + string.digits + string.punctuation + """ \t\n"""
   )

   _a						: Union[str, Any]    =			[]

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

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

     # 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 _lowercase			(  self	:		Optional[Any]							)      -> int:
   _a						: Tuple    =			sum(self.__neg_pos([ord(lowerCamelCase__							) for x in self.__passcode]							)							)
   return num if num > 0 else len(self.__passcode							)


 def _lowercase			(  self	:		Dict							,		UpperCAmelCase__	:		int							)      -> str:
   _a						: Union[str, Any]    =			""""""

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

   return decoded_message







 def _lowercase			(  self	:		str							,		UpperCAmelCase__	:		Any							)      -> str:
   _a						: List[Any]    =			""""""

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

   return encoded_message







def     lowerCAmelCase__  (  UpperCamelCase__ = "Hello, this is a modified Caesar cipher"       ):



  '''simple docstring'''
  _a						: int    =			ShuffledShiftCipher()
  return cipa.decrypt(cipa.encrypt(lowercase__       )       )


if __name__ == "__main__":
 import doctest

 doctest.testmod()









"""simple docstring"""




# this script builds a small sample spm file tests/fixtures/test_sentencepiece_no_bos.model, with features needed by pegasus

# 1. pip install sentencepiece
#
# 2. wget https://raw.githubusercontent.com/google/sentencepiece/master/data/botchan.txt

# 3. build
import sentencepiece as spm

# pegasus:
# 1. no bos
# 2. eos_id is 1
# 3. unk_id is 2
# build a sample spm file accordingly
spm.SentencePieceTrainer.train(
    '--input=botchan.txt --model_prefix=test_sentencepiece_no_bos --bos_id=-1 --unk_id=2  --eos_id=1  --vocab_size=1000'
)

# 4. now update the fixture
# mv test_sentencepiece_no_bos.model ../../tests/fixtures/

