




from __future__ import annotations

from string import ascii_letters



def   lowerCAmelCase						(						_lowerCAmelCase							:				str  ,							_lowerCAmelCase							:				int  ,							_lowerCAmelCase							:				str | None = None		):




 """simple docstring"""







 UpperCAmelCase__								=  alphabet or ascii_letters

 # The final result string
 UpperCAmelCase__								=  ""

 for character in input_string:
  if character not in alpha:
   # Append without encryption if character is not in the alphabet
   result += character
  else:
   # Get the index of the new key and make sure it isn't too large
   UpperCAmelCase__								=  (alpha.index(_lowerCAmelCase		) + key) % len(_lowerCAmelCase		)

   # Append the encoded character to the alphabet
   result += alpha[new_key]

 return result



def   lowerCAmelCase						(						_lowerCAmelCase							:				str  ,							_lowerCAmelCase							:				int  ,							_lowerCAmelCase							:				str | None = None		):




 """simple docstring"""







 key *= -1

 return encrypt(_lowerCAmelCase  ,							_lowerCAmelCase  ,							_lowerCAmelCase		)



def   lowerCAmelCase						(						_lowerCAmelCase							:				str  ,							_lowerCAmelCase							:				str | None = None		):




 """simple docstring"""







 UpperCAmelCase__								=  alphabet or ascii_letters

 # To store data on all the combinations
 UpperCAmelCase__								=  {}

 # Cycle through each combination
 for key in range(1  ,							len(_lowerCAmelCase		) + 1		):
  # Decrypt the message and store the result in the data
  UpperCAmelCase__								=  decrypt(_lowerCAmelCase  ,							_lowerCAmelCase  ,							_lowerCAmelCase		)

 return brute_force_data


if __name__ == "__main__":
  while True:
    print(F'''\n{"-" * 1_0}\n Menu\n{"-" * 1_0}''')
    print(*["1.Encrypt", "2.Decrypt", "3.BruteForce", "4.Quit"], sep="\n")

    # get user input
    _lowerCAmelCase  :				List[Any]						=				input("\nWhat would you like to do?: ").strip() or "4"

    # run functions based on what the user chose
    if choice not in ("1", "2", "3", "4"):
      print("Invalid choice, please enter a valid choice")
    elif choice == "1":
      _lowerCAmelCase  :				Any						=				input("Please enter the string to be encrypted: ")
      _lowerCAmelCase  :				str						=				int(input("Please enter off-set: ").strip())

      print(encrypt(input_string, key))
    elif choice == "2":
      _lowerCAmelCase  :				Optional[Any]						=				input("Please enter the string to be decrypted: ")
      _lowerCAmelCase  :				Any						=				int(input("Please enter off-set: ").strip())

      print(decrypt(input_string, key))
    elif choice == "3":
      _lowerCAmelCase  :				int						=				input("Please enter the string to be decrypted: ")
      _lowerCAmelCase  :				Dict						=				brute_force(input_string)

      for key, value in brute_force_data.items():
        print(F'''Key: {key} | Message: {value}''')

    elif choice == "4":
      print("Goodbye.")
      break











from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


_lowerCAmelCase  :				Dict						=				logging.get_logger(__name__)

_lowerCAmelCase  :				Optional[int]						=				{
    "google/rembert": "https://huggingface.co/google/rembert/resolve/main/config.json",
    # See all RemBERT models at https://huggingface.co/models?filter=rembert
}
class      _UpperCamelCase (			lowerCAmelCase						):
      UpperCAmelCase_            =						"""rembert"""
      def __init__(     self				:Union[str, Any]	, lowerCamelCase				:Union[str, Any]=25_0300	, lowerCamelCase				:Optional[Any]=1152	, lowerCamelCase				:Optional[int]=32	, lowerCamelCase				:Union[str, Any]=18	, lowerCamelCase				:str=256	, lowerCamelCase				:Any=1664	, lowerCamelCase				:Any=4608	, lowerCamelCase				:List[str]="gelu"	, lowerCamelCase				:Optional[Any]=0.0	, lowerCamelCase				:Optional[int]=0.0	, lowerCamelCase				:Dict=0.1	, lowerCamelCase				:List[str]=512	, lowerCamelCase				:int=2	, lowerCamelCase				:str=0.02	, lowerCamelCase				:Optional[int]=1e-12	, lowerCamelCase				:List[Any]=True	, lowerCamelCase				:Optional[Any]=0	, lowerCamelCase				:Optional[Any]=312	, lowerCamelCase				:int=313	, **lowerCamelCase				:Dict	, )       ->     Any:
       super().__init__(pad_token_id=lowerCamelCase	, bos_token_id=lowerCamelCase	, eos_token_id=lowerCamelCase	, **lowerCamelCase )

       UpperCAmelCase__								=  vocab_size
       UpperCAmelCase__								=  input_embedding_size
       UpperCAmelCase__								=  output_embedding_size
       UpperCAmelCase__								=  max_position_embeddings
       UpperCAmelCase__								=  hidden_size
       UpperCAmelCase__								=  num_hidden_layers
       UpperCAmelCase__								=  num_attention_heads
       UpperCAmelCase__								=  intermediate_size
       UpperCAmelCase__								=  hidden_act
       UpperCAmelCase__								=  hidden_dropout_prob
       UpperCAmelCase__								=  attention_probs_dropout_prob
       UpperCAmelCase__								=  classifier_dropout_prob
       UpperCAmelCase__								=  initializer_range
       UpperCAmelCase__								=  type_vocab_size
       UpperCAmelCase__								=  layer_norm_eps
       UpperCAmelCase__								=  use_cache
       UpperCAmelCase__								=  False



class      _UpperCamelCase (			lowerCAmelCase						):
      @property
      def 		UpperCAmelCase_  (     self				:List[Any] )       ->     Mapping[str, Mapping[int, str]]:
       if self.task == "multiple-choice":
        UpperCAmelCase__								=  {0: "batch", 1: "choice", 2: "sequence"}
       else:
        UpperCAmelCase__								=  {0: "batch", 1: "sequence"}
       return OrderedDict(
           [
               ("input_ids", dynamic_axis),
               ("attention_mask", dynamic_axis),
               ("token_type_ids", dynamic_axis),
           ] )







      @property
      def 		UpperCAmelCase_  (     self				:Union[str, Any] )       ->     float:
       return 1e-4





