'''simple docstring'''




from __future__ import annotations

from string import ascii_letters





def      _UpperCAmelCase    (							_UpperCamelCase    :	str,   _UpperCamelCase    :	int,   _UpperCamelCase    :	str | None = None   )	->      str:
    A_     =   alphabet or ascii_letters

    # The final result string
    A_     =   ''''''

    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
            A_     =   (alpha.index(_UpperCamelCase   ) + key) % len(_UpperCamelCase   )

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

    return result





def      _UpperCAmelCase    (							_UpperCamelCase    :	str,   _UpperCamelCase    :	int,   _UpperCamelCase    :	str | None = None   )	->      str:
    key *= -1

    return encrypt(_UpperCamelCase,   _UpperCamelCase,   _UpperCamelCase   )





def      _UpperCAmelCase    (							_UpperCamelCase    :	str,   _UpperCamelCase    :	str | None = None   )	->      dict[int, str]:
    A_     =   alphabet or ascii_letters

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

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

    return brute_force_data


if __name__ == "__main__":
  while True:
    print(F"""\n{'-' * 10}\n Menu\n{'-' * 10}""")
    print(*['1.Encrypt', '2.Decrypt', '3.BruteForce', '4.Quit'], sep='\n')

    # get user input
    __snake_case   :      List[str]						    =  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":
      __snake_case   :      str						    =  input('Please enter the string to be encrypted: ')
      __snake_case   :      Optional[Any]						    =  int(input('Please enter off-set: ').strip())

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

      print(decrypt(input_string, key))
    elif choice == "3":
      __snake_case   :      Optional[Any]						    =  input('Please enter the string to be decrypted: ')
      __snake_case   :      str						    =  brute_force(input_string)

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

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







"""simple docstring"""


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


a							=logging.get_logger(__name__)

a							={
    'microsoft/mpnet-base': 'https://huggingface.co/microsoft/mpnet-base/resolve/main/config.json',
}






class    __UpperCAmelCase						(	__lowerCAmelCase	):
				A__      :   Optional[int]  							=       '''mpnet'''

				def __init__(      self	, _lowerCamelCase=30527	, _lowerCamelCase=768	, _lowerCamelCase=12	, _lowerCamelCase=12	, _lowerCamelCase=3072	, _lowerCamelCase="gelu"	, _lowerCamelCase=0.1	, _lowerCamelCase=0.1	, _lowerCamelCase=512	, _lowerCamelCase=0.0_2	, _lowerCamelCase=1E-12	, _lowerCamelCase=32	, _lowerCamelCase=1	, _lowerCamelCase=0	, _lowerCamelCase=2	, **_lowerCamelCase	, ):
										super().__init__(pad_token_id=_lowerCamelCase	, bos_token_id=_lowerCamelCase	, eos_token_id=_lowerCamelCase	, **_lowerCamelCase      )

										lowerCamelCase__					=vocab_size
										lowerCamelCase__					=hidden_size
										lowerCamelCase__					=num_hidden_layers
										lowerCamelCase__					=num_attention_heads
										lowerCamelCase__					=hidden_act
										lowerCamelCase__					=intermediate_size
										lowerCamelCase__					=hidden_dropout_prob
										lowerCamelCase__					=attention_probs_dropout_prob
										lowerCamelCase__					=max_position_embeddings
										lowerCamelCase__					=initializer_range
										lowerCamelCase__					=layer_norm_eps
										lowerCamelCase__					=relative_attention_num_buckets


