_SCREAMING_SNAKE_CASE:    int     						=							{
    '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  UpperCAmelCase__(    lowerCamelCase_	):



			"""simple docstring"""





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






def  UpperCAmelCase__(    lowerCamelCase_				,						lowerCamelCase_	):



			"""simple docstring"""





			_snake_case														=   """"""
			_snake_case														=   0
			_snake_case														=   generate_table(__SCREAMING_SNAKE_CASE	)
			for char in words.upper():
						cipher += get_opponent(table[count]				,						__SCREAMING_SNAKE_CASE	)
						_snake_case														=   (count + 1) % len(__SCREAMING_SNAKE_CASE	)
			return cipher






def  UpperCAmelCase__(    lowerCamelCase_				,						lowerCamelCase_	):



			"""simple docstring"""





			return encrypt(__SCREAMING_SNAKE_CASE				,						__SCREAMING_SNAKE_CASE	)






def  UpperCAmelCase__(    lowerCamelCase_				,						lowerCamelCase_	):



			"""simple docstring"""





			_snake_case														=   0 if char in table[0] else 1
			_snake_case														=   table[row].index(__SCREAMING_SNAKE_CASE	)
			return row, col






def  UpperCAmelCase__(    lowerCamelCase_				,						lowerCamelCase_	):



			"""simple docstring"""





			_snake_case														=   get_position(__SCREAMING_SNAKE_CASE				,						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...
			_SCREAMING_SNAKE_CASE:    Dict     						=							input('''Enter key: ''').strip()
			_SCREAMING_SNAKE_CASE:    List[Any]     						=							input('''Enter text to encrypt: ''').strip()
			_SCREAMING_SNAKE_CASE:    Tuple     						=							encrypt(key, text)

			print(F"Encrypted: {cipher_text}")
			print(F"Decrypted with key: {decrypt(key, cipher_text)}")



'''simple docstring'''
from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding







class 			__A					(			_SCREAMING_SNAKE_CASE      ):
 lowerCamelCase												=['''image_processor''', '''tokenizer''']
 lowerCamelCase												='''EfficientNetImageProcessor'''
 lowerCamelCase												=('''BertTokenizer''', '''BertTokenizerFast''')
 def __init__( self      :     str					, lowerCamelCase      :     Optional[int]					, lowerCamelCase      :     Tuple							):



   """simple docstring"""





   super().__init__(lowerCamelCase					, lowerCamelCase							)
 def __call__( self      :     Tuple					, lowerCamelCase      :     str=None					, lowerCamelCase      :     Tuple=None					, lowerCamelCase      :     int="max_length"					, lowerCamelCase      :     int=64					, lowerCamelCase      :     Union[str, Any]=None					, **lowerCamelCase      :     Dict							):



   """simple docstring"""





   if text is None and images is None:
     raise ValueError("""You have to specify either text or images. Both cannot be none."""							)

   if text is not None:
     __A		:  str       				=		self.tokenizer(
         lowerCamelCase					, padding=lowerCamelCase					, max_length=lowerCamelCase					, return_tensors=lowerCamelCase					, **lowerCamelCase							)

   if images is not None:
     __A		:  Optional[Any]       				=		self.image_processor(lowerCamelCase					, return_tensors=lowerCamelCase					, **lowerCamelCase							)

   if text is not None and images is not None:
     __A		:  Optional[int]       				=		image_features.pixel_values
     return encoding
   elif text is not None:
     return encoding
   else:
     return BatchEncoding(data=dict(**lowerCamelCase							)					, tensor_type=lowerCamelCase							)
 def 		lowercase_( self      :     Any					, *lowerCamelCase      :     Optional[Any]					, **lowerCamelCase      :     Union[str, Any]							):



   """simple docstring"""





   return self.tokenizer.batch_decode(*lowerCamelCase					, **lowerCamelCase							)
 def 		lowercase_( self      :     Any					, *lowerCamelCase      :     List[Any]					, **lowerCamelCase      :     Union[str, Any]							):



   """simple docstring"""





   return self.tokenizer.decode(*lowerCamelCase					, **lowerCamelCase							)






 @property
 def 		lowercase_( self      :     int							):



   """simple docstring"""





   __A		:  Dict       				=		self.tokenizer.model_input_names
   __A		:  int       				=		self.image_processor.model_input_names
   return list(dict.fromkeys(tokenizer_input_names + image_processor_input_names							)							)



