import warnings

from ...utils import logging
from .image_processing_donut import DonutImageProcessor


_lowerCamelCase       : Tuple      					=		logging.get_logger(__name__)


class     lowercase     (  snake_case_  ):




							def __init__(    self :       str						,				*_UpperCamelCase :       Tuple						,				**_UpperCamelCase :       Optional[int]   )       ->					None:



												'''simple docstring'''

												warnings.warn(
												    "The class DonutFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please"
												    " use DonutImageProcessor instead."						,				UpperCamelCase__						,				)
												super().__init__(*UpperCamelCase__						,				**UpperCamelCase__   )








"""simple docstring"""



import string







def     __lowerCAmelCase		(		lowercase    :    str					)      ->		None:


    """simple docstring"""





    for key in range(len(string.ascii_uppercase					)					):
        snake_case       : Dict    =       ""
        for symbol in message:
            if symbol in string.ascii_uppercase:
                snake_case       : Dict    =       string.ascii_uppercase.find(lowercase					)
                snake_case       : Optional[int]    =       num - key
                if num < 0:
                    snake_case       : Optional[int]    =       num + len(string.ascii_uppercase					)
                snake_case       : Dict    =       translated + string.ascii_uppercase[num]
            else:
                snake_case       : Any    =       translated + symbol
        print(F'Decryption using Key #{key}: {translated}'					)







def     __lowerCAmelCase		(		)      ->		None:


    """simple docstring"""





    snake_case       : Dict    =       input("Encrypted message: "					)
    snake_case       : Any    =       message.upper()
    decrypt(lowercase					)


if __name__ == "__main__":
  import doctest

  doctest.testmod()
  main()





