





from __future__ import annotations

from string import ascii_letters



def _a       (			lowerCamelCase:     str      ,       lowerCamelCase:     List[Any]      ,       lowerCamelCase:     Tuple = None				)			->		str:







      '''simple docstring'''






      __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(lowerCamelCase				) + key) % len(lowerCamelCase				)

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

      return result



def _a       (			lowerCamelCase:     Optional[int]      ,       lowerCamelCase:     Dict      ,       lowerCamelCase:     Optional[int] = None				)			->		str:







      '''simple docstring'''






      key *= -1

      return encrypt(lowerCamelCase      ,       lowerCamelCase      ,       lowerCamelCase				)



def _a       (			lowerCamelCase:     Dict      ,       lowerCamelCase:     List[str] = None				)			->		dict[int, str]:







      '''simple docstring'''






      __A      =       alphabet or ascii_letters

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

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

      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__      :							Optional[int]									=  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__      :							int									=  input('Please enter the string to be encrypted: ')
         snake_case__      :							List[str]									=  int(input('Please enter off-set: ').strip())

         print(encrypt(input_string, key))
      elif choice == "2":
         snake_case__      :							Union[str, Any]									=  input('Please enter the string to be decrypted: ')
         snake_case__      :							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












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


snake_case__      :							Optional[Any]									=  logging.get_logger(__name__)

snake_case__      :							List[str]									=  {
    'uw-madison/nystromformer-512': 'https://huggingface.co/uw-madison/nystromformer-512/resolve/main/config.json',
    # See all Nystromformer models at https://huggingface.co/models?filter=nystromformer
}





class A_      (    _lowerCamelCase     ):
   lowerCAmelCase__       =				"""nystromformer"""




   def __init__(self			:Union[str, Any]					,     _UpperCamelCase			:Optional[int]=3_0000					,     _UpperCamelCase			:Optional[int]=768					,     _UpperCamelCase			:List[str]=12					,     _UpperCamelCase			:Dict=12					,     _UpperCamelCase			:Any=3072					,     _UpperCamelCase			:List[str]="gelu_new"					,     _UpperCamelCase			:str=0.1					,     _UpperCamelCase			:Dict=0.1					,     _UpperCamelCase			:List[Any]=510					,     _UpperCamelCase			:str=2					,     _UpperCamelCase			:List[str]=64					,     _UpperCamelCase			:List[str]=64					,     _UpperCamelCase			:Optional[int]=65					,     _UpperCamelCase			:Optional[int]=False					,     _UpperCamelCase			:Optional[int]=0.0_2					,     _UpperCamelCase			:Dict=1e-5					,     _UpperCamelCase			:Tuple=1					,     _UpperCamelCase			:Union[str, Any]=0					,     _UpperCamelCase			:Optional[int]=2					,     **_UpperCamelCase			:Dict					,     )->      Any:
         __A      =       vocab_size
         __A      =       max_position_embeddings
         __A      =       hidden_size
         __A      =       num_hidden_layers
         __A      =       num_attention_heads
         __A      =       intermediate_size
         __A      =       hidden_act
         __A      =       hidden_dropout_prob
         __A      =       attention_probs_dropout_prob
         __A      =       initializer_range
         __A      =       type_vocab_size
         __A      =       segment_means_seq_len
         __A      =       num_landmarks
         __A      =       conv_kernel_size
         __A      =       inv_coeff_init_option
         __A      =       layer_norm_eps
         super().__init__(pad_token_id=_UpperCamelCase					,     bos_token_id=_UpperCamelCase					,     eos_token_id=_UpperCamelCase					,     **_UpperCamelCase				)





