__lowerCamelCase :     Union[str, Any]          =  {
    '''A''': ('''ABCDEFGHIJKLM''', '''NOPQRSTUVWXYZ'''),
    '''B''': ('''ABCDEFGHIJKLM''', '''NOPQRSTUVWXYZ'''),
    '''C''': ('''ABCDEFGHIJKLM''', '''ZNOPQRSTUVWXY'''),
    '''D''': ('''ABCDEFGHIJKLM''', '''ZNOPQRSTUVWXY'''),
    '''E''': ('''ABCDEFGHIJKLM''', '''YZNOPQRSTUVWX'''),
    '''F''': ('''ABCDEFGHIJKLM''', '''YZNOPQRSTUVWX'''),
    '''G''': ('''ABCDEFGHIJKLM''', '''XYZNOPQRSTUVW'''),
    '''H''': ('''ABCDEFGHIJKLM''', '''XYZNOPQRSTUVW'''),
    '''I''': ('''ABCDEFGHIJKLM''', '''WXYZNOPQRSTUV'''),
    '''J''': ('''ABCDEFGHIJKLM''', '''WXYZNOPQRSTUV'''),
    '''K''': ('''ABCDEFGHIJKLM''', '''VWXYZNOPQRSTU'''),
    '''L''': ('''ABCDEFGHIJKLM''', '''VWXYZNOPQRSTU'''),
    '''M''': ('''ABCDEFGHIJKLM''', '''UVWXYZNOPQRST'''),
    '''N''': ('''ABCDEFGHIJKLM''', '''UVWXYZNOPQRST'''),
    '''O''': ('''ABCDEFGHIJKLM''', '''TUVWXYZNOPQRS'''),
    '''P''': ('''ABCDEFGHIJKLM''', '''TUVWXYZNOPQRS'''),
    '''Q''': ('''ABCDEFGHIJKLM''', '''STUVWXYZNOPQR'''),
    '''R''': ('''ABCDEFGHIJKLM''', '''STUVWXYZNOPQR'''),
    '''S''': ('''ABCDEFGHIJKLM''', '''RSTUVWXYZNOPQ'''),
    '''T''': ('''ABCDEFGHIJKLM''', '''RSTUVWXYZNOPQ'''),
    '''U''': ('''ABCDEFGHIJKLM''', '''QRSTUVWXYZNOP'''),
    '''V''': ('''ABCDEFGHIJKLM''', '''QRSTUVWXYZNOP'''),
    '''W''': ('''ABCDEFGHIJKLM''', '''PQRSTUVWXYZNO'''),
    '''X''': ('''ABCDEFGHIJKLM''', '''PQRSTUVWXYZNO'''),
    '''Y''': ('''ABCDEFGHIJKLM''', '''OPQRSTUVWXYZN'''),
    '''Z''': ('''ABCDEFGHIJKLM''', '''OPQRSTUVWXYZN'''),
}




def     _snake_case     (       lowerCAmelCase							:       Optional[Any]     ):
		"""simple docstring"""







		return [alphabet[char] for char in key.upper()]




def     _snake_case     (       lowerCAmelCase							:       Union[str, Any]       ,			lowerCAmelCase							:       Union[str, Any]     ):
		"""simple docstring"""







		SCREAMING_SNAKE_CASE_  :		Dict    				=   ""
		SCREAMING_SNAKE_CASE_  :		Union[str, Any]    				=   0
		SCREAMING_SNAKE_CASE_  :		str    				=   generate_table(_UpperCamelCase     )
		for char in words.upper():
				cipher += get_opponent(table[count]       ,			_UpperCamelCase     )
				SCREAMING_SNAKE_CASE_  :		Tuple    				=   (count + 1) % len(_UpperCamelCase     )
		return cipher




def     _snake_case     (       lowerCAmelCase							:       Dict       ,			lowerCAmelCase							:       int     ):
		"""simple docstring"""







		return encrypt(_UpperCamelCase       ,			_UpperCamelCase     )




def     _snake_case     (       lowerCAmelCase							:       Dict       ,			lowerCAmelCase							:       Union[str, Any]     ):
		"""simple docstring"""







		SCREAMING_SNAKE_CASE_  :		Any    				=   0 if char in table[0] else 1
		SCREAMING_SNAKE_CASE_  :		List[Any]    				=   table[row].index(_UpperCamelCase     )
		return row, col




def     _snake_case     (       lowerCAmelCase							:       Optional[Any]       ,			lowerCAmelCase							:       Optional[Any]     ):
		"""simple docstring"""







		SCREAMING_SNAKE_CASE_  :		List[Any]    				=   get_position(_UpperCamelCase       ,			char.upper()     )
		if row == 1:
				return table[0][col]
		else:
				return table[1][col] if row == 0 else char


if __name__ == "__main__":
		import doctest

		doctest.testmod()  # Fist ensure that all our tests are passing...
		__lowerCamelCase :     Union[str, Any]          =  input('''Enter key: ''').strip()
		__lowerCamelCase :     Tuple          =  input('''Enter text to encrypt: ''').strip()
		__lowerCamelCase :     Optional[int]          =  encrypt(key, text)

		print(f'''Encrypted: {cipher_text}''')
		print(f'''Decrypted with key: {decrypt(key, cipher_text)}''')

import warnings

from ...utils import logging
from .image_processing_vit import ViTImageProcessor


__lowerCamelCase :     Tuple          =  logging.get_logger(__name__)






class 		a__						( A__ ):

					def __init__(   self				:	List[Any],*_A				:	Union[str, Any],**_A				:	List[Any]   ):







							"""simple docstring"""






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