



"""simple docstring"""




from __future__ import annotations

from string import ascii_letters


def 	lowercase__  (      _UpperCAmelCase						,   _UpperCAmelCase						,   _UpperCAmelCase = None					)  ->      str:






      '''simple docstring'''


      lowercase	:   Dict											= alphabet or ascii_letters

      # The final result string
      lowercase	:   Dict											= ''

      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
                  lowercase	:   List[Any]											= (alpha.index(_UpperCAmelCase					) + key) % len(_UpperCAmelCase					)

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

      return result


def 	lowercase__  (      _UpperCAmelCase						,   _UpperCAmelCase						,   _UpperCAmelCase = None					)  ->      str:






      '''simple docstring'''


      key *= -1

      return encrypt(_UpperCAmelCase						,   _UpperCAmelCase						,   _UpperCAmelCase					)


def 	lowercase__  (      _UpperCAmelCase						,   _UpperCAmelCase = None					)  ->      dict[int, str]:






      '''simple docstring'''


      lowercase	:   List[str]											= alphabet or ascii_letters

      # To store data on all the combinations
      lowercase	:   Tuple											= {}

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

      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
          _UpperCamelCase:					Dict     				=	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":
               _UpperCamelCase:					List[Any]     				=	input('Please enter the string to be encrypted: ')
               _UpperCamelCase:					Union[str, Any]     				=	int(input('Please enter off-set: ').strip())

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

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





"""simple docstring"""




from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available


_UpperCamelCase:					Optional[Any]     				=	{
    'configuration_codegen': ['CODEGEN_PRETRAINED_CONFIG_ARCHIVE_MAP', 'CodeGenConfig', 'CodeGenOnnxConfig'],
    'tokenization_codegen': ['CodeGenTokenizer'],
}

try:
     if not is_tokenizers_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     _UpperCamelCase:					Union[str, Any]     				=	['CodeGenTokenizerFast']

try:
     if not is_torch_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     _UpperCamelCase:					str     				=	[
         'CODEGEN_PRETRAINED_MODEL_ARCHIVE_LIST',
         'CodeGenForCausalLM',
         'CodeGenModel',
         'CodeGenPreTrainedModel',
     ]

if TYPE_CHECKING:
     from .configuration_codegen import CODEGEN_PRETRAINED_CONFIG_ARCHIVE_MAP, CodeGenConfig, CodeGenOnnxConfig
     from .tokenization_codegen import CodeGenTokenizer

     try:
          if not is_tokenizers_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .tokenization_codegen_fast import CodeGenTokenizerFast

     try:
          if not is_torch_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_codegen import (
              CODEGEN_PRETRAINED_MODEL_ARCHIVE_LIST,
              CodeGenForCausalLM,
              CodeGenModel,
              CodeGenPreTrainedModel,
          )

else:
     import sys

     _UpperCamelCase:					int     				=	_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)
