

'''simple docstring'''



from __future__ import annotations

import random
import string







class 		lowerCAmelCase__     :



 """simple docstring"""



 def __init__(	self      : Any      ,							__SCREAMING_SNAKE_CASE      : str | None = None    )						->				Optional[int]:


      """simple docstring"""




      __SCREAMING_SNAKE_CASE						     =   passcode or self.__passcode_creator()
      __SCREAMING_SNAKE_CASE						     =   self.__make_key_list()
      __SCREAMING_SNAKE_CASE						     =   self.__make_shift_key()
 def __str__(	self      : Union[str, Any]    )						->				Union[str, Any]:


      """simple docstring"""




      return "".join(self.__passcode    )
 def    UpperCAmelCase__	(	self      : Any      ,							__SCREAMING_SNAKE_CASE      : list[int]    )						->				int:


      """simple docstring"""




      for i in range(1      ,							len(A_    )      ,							2    ):
           iterlist[i] *= -1
      return iterlist
 def    UpperCAmelCase__	(	self      : Union[str, Any]    )						->				List[Any]:


      """simple docstring"""




      __SCREAMING_SNAKE_CASE						     =   string.ascii_letters + string.digits
      __SCREAMING_SNAKE_CASE						     =   [random.choice(A_    ) for _ in range(random.randint(10      ,							20    )    )]
      return password
 def    UpperCAmelCase__	(	self      : Dict    )						->				Union[str, Any]:


      """simple docstring"""




      __SCREAMING_SNAKE_CASE						     =   (
          string.ascii_letters + string.digits + string.punctuation + """ \t\n"""
      )

      __SCREAMING_SNAKE_CASE						     =   []

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

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

           # 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    UpperCAmelCase__	(	self      : List[str]    )						->				Dict:


      """simple docstring"""




      __SCREAMING_SNAKE_CASE						     =   sum(self.__neg_pos([ord(A_    ) for x in self.__passcode]    )    )
      return num if num > 0 else len(self.__passcode    )
 def    UpperCAmelCase__	(	self      : List[Any]      ,							__SCREAMING_SNAKE_CASE      : str    )						->				List[str]:


      """simple docstring"""




      __SCREAMING_SNAKE_CASE						     =   """"""

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

      return decoded_message


 def    UpperCAmelCase__	(	self      : Any      ,							__SCREAMING_SNAKE_CASE      : str    )						->				str:


      """simple docstring"""




      __SCREAMING_SNAKE_CASE						     =   """"""

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

      return encoded_message







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




     """simple docstring"""


     __SCREAMING_SNAKE_CASE						     =   ShuffledShiftCipher()
     return cipa.decrypt(cipa.encrypt(lowercase__		)		)


if __name__ == "__main__":
  import doctest

  doctest.testmod()









'''simple docstring'''



from ...configuration_utils import PretrainedConfig
from ...utils import logging


UpperCAmelCase				: Union[str, Any]         =  logging.get_logger(__name__)

UpperCAmelCase				: Optional[int]         =  {
    'bert-base-uncased': 'https://huggingface.co/bert-base-uncased/resolve/main/config.json',
    # QDQBERT models can be loaded from any BERT checkpoint, available at https://huggingface.co/models?filter=bert
}







class 		lowerCAmelCase__     (   a      ):



 """simple docstring"""



 lowerCAmelCase__						      =   "qdqbert"
 def __init__(	self      : str      ,							__SCREAMING_SNAKE_CASE      : Optional[int]=30_522      ,							__SCREAMING_SNAKE_CASE      : str=768      ,							__SCREAMING_SNAKE_CASE      : Union[str, Any]=12      ,							__SCREAMING_SNAKE_CASE      : Any=12      ,							__SCREAMING_SNAKE_CASE      : Any=3_072      ,							__SCREAMING_SNAKE_CASE      : List[str]="gelu"      ,							__SCREAMING_SNAKE_CASE      : Any=0.1      ,							__SCREAMING_SNAKE_CASE      : Any=0.1      ,							__SCREAMING_SNAKE_CASE      : Optional[int]=512      ,							__SCREAMING_SNAKE_CASE      : List[str]=2      ,							__SCREAMING_SNAKE_CASE      : Dict=0.02      ,							__SCREAMING_SNAKE_CASE      : List[str]=1E-12      ,							__SCREAMING_SNAKE_CASE      : str=True      ,							__SCREAMING_SNAKE_CASE      : Optional[int]=1      ,							__SCREAMING_SNAKE_CASE      : Optional[int]=0      ,							__SCREAMING_SNAKE_CASE      : Dict=2      ,							**__SCREAMING_SNAKE_CASE      : Union[str, Any]      ,							)						->				str:


      """simple docstring"""




      super().__init__(pad_token_id=__SCREAMING_SNAKE_CASE      ,							bos_token_id=__SCREAMING_SNAKE_CASE      ,							eos_token_id=__SCREAMING_SNAKE_CASE      ,							**__SCREAMING_SNAKE_CASE    )

      __SCREAMING_SNAKE_CASE						     =   vocab_size
      __SCREAMING_SNAKE_CASE						     =   max_position_embeddings
      __SCREAMING_SNAKE_CASE						     =   hidden_size
      __SCREAMING_SNAKE_CASE						     =   num_hidden_layers
      __SCREAMING_SNAKE_CASE						     =   num_attention_heads
      __SCREAMING_SNAKE_CASE						     =   intermediate_size
      __SCREAMING_SNAKE_CASE						     =   hidden_act
      __SCREAMING_SNAKE_CASE						     =   hidden_dropout_prob
      __SCREAMING_SNAKE_CASE						     =   attention_probs_dropout_prob
      __SCREAMING_SNAKE_CASE						     =   initializer_range
      __SCREAMING_SNAKE_CASE						     =   type_vocab_size
      __SCREAMING_SNAKE_CASE						     =   layer_norm_eps
      __SCREAMING_SNAKE_CASE						     =   use_cache






