

import random

class     a__  :
			"""simple docstring"""







			@staticmethod
			def    UpperCamelCase						(			lowercase				)     ->  tuple[list[int], list[int]]:
							'''simple docstring'''






							A__						=	[ord(lowercase				) for i in text]
							A__						=	[]
							A__						=	[]
							for i in plain:
											A__						=	random.randint(1					,					300				)
											A__						=	(i + k) * k
											cipher.append(lowercase				)
											key.append(lowercase				)
							return cipher, key


			@staticmethod
			def    UpperCamelCase						(			lowercase					,					lowercase				)     ->  str:
							'''simple docstring'''






							A__						=	[]
							for i in range(len(lowercase				)				):
											A__						=	int((cipher[i] - (key[i]) ** 2) / key[i]				)
											plain.append(chr(lowercase				)				)
							return "".join(lowercase				)


if __name__ == "__main__":
	lowerCAmelCase__      ,   lowerCAmelCase__		      =       Onepad().encrypt("""Hello""")
	print(c, k)
	print(Onepad().decrypt(c, k))




import warnings

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


A_       : Union[str, Any]         =			logging.get_logger(__name__)



class     _a						(__magic_name__				):


					'''simple docstring'''






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



