




from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding







class a (     __SCREAMING_SNAKE_CASE  ):
						"""simple docstring"""

						UpperCamelCase_	:       int       	=		['image_processor', 'tokenizer']
						UpperCamelCase_	:       Union[str, Any]       	=		'AutoImageProcessor'
						UpperCamelCase_	:       Tuple       	=		'AutoTokenizer'






						def __init__( self :     Union[str, Any]				,							lowerCamelCase__ :     str				,							lowerCamelCase__ :     int				)    ->						Tuple:
													"""simple docstring"""


													super().__init__(lowerCamelCase__				,							lowerCamelCase__				)
													__lowercase      =    self.image_processor






						def __call__( self :     Dict				,							lowerCamelCase__ :     Tuple=None				,							lowerCamelCase__ :     str=None				,							lowerCamelCase__ :     List[Any]=None				,							**lowerCamelCase__ :     List[Any]				)    ->						List[Any]:
													"""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:
																				__lowercase      =    self.tokenizer(lowerCamelCase__				,							return_tensors=lowerCamelCase__				,							**lowerCamelCase__				)

													if images is not None:
																				__lowercase      =    self.image_processor(lowerCamelCase__				,							return_tensors=lowerCamelCase__				,							**lowerCamelCase__				)

													if text is not None and images is not None:
																				__lowercase      =    image_features.pixel_values
																				return encoding
													elif text is not None:
																				return encoding
													else:
																				return BatchEncoding(data=dict(**lowerCamelCase__				)				,							tensor_type=lowerCamelCase__				)






						def     UpperCAmelCase_      ( self :     Optional[int]				,							*lowerCamelCase__ :     Union[str, Any]				,							**lowerCamelCase__ :     Tuple				)    ->						List[str]:
													"""simple docstring"""


													return self.tokenizer.batch_decode(*lowerCamelCase__				,							**lowerCamelCase__				)






						def     UpperCAmelCase_      ( self :     int				,							*lowerCamelCase__ :     Any				,							**lowerCamelCase__ :     List[Any]				)    ->						Union[str, Any]:
													"""simple docstring"""


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






						@property
						def     UpperCAmelCase_      ( self :     List[Any]				)    ->						List[Any]:
													"""simple docstring"""


													return ["input_ids", "attention_mask", "pixel_values"]












import math







def 		_A(       )    -> None:
							'''simple docstring'''


							__lowercase      =    input('''Enter message: '''				)
							__lowercase      =    int(input(F'Enter key [2-{len(UpperCamelCase__				) - 1}]: '				)				)
							__lowercase      =    input('''Encryption/Decryption [e/d]: '''				)

							if mode.lower().startswith('''e'''				):
														__lowercase      =    encrypt_message(UpperCamelCase__				,       UpperCamelCase__				)
							elif mode.lower().startswith('''d'''				):
														__lowercase      =    decrypt_message(UpperCamelCase__				,       UpperCamelCase__				)

							# Append pipe symbol (vertical bar) to identify spaces at the end.
							print(F'Output:\n{text + "|"}'				)







def 		_A(       UpperCamelCase__							:			int				,       UpperCamelCase__							:			str				)    -> str:
							'''simple docstring'''


							__lowercase      =    [''''''] * key
							for col in range(UpperCamelCase__				):
														__lowercase      =    col
														while pointer < len(UpperCamelCase__				):
																					cipher_text[col] += message[pointer]
																					pointer += key
							return "".join(UpperCamelCase__				)







def 		_A(       UpperCamelCase__							:			int				,       UpperCamelCase__							:			str				)    -> str:
							'''simple docstring'''


							__lowercase      =    math.ceil(len(UpperCamelCase__				) / key				)
							__lowercase      =    key
							__lowercase      =    (num_cols * num_rows) - len(UpperCamelCase__				)
							__lowercase      =    [''''''] * num_cols
							__lowercase      =    0
							__lowercase      =    0

							for symbol in message:
														plain_text[col] += symbol
														col += 1

														if (
														    (col == num_cols)
														    or (col == num_cols - 1)
														    and (row >= num_rows - num_shaded_boxes)
														):
																					__lowercase      =    0
																					row += 1

							return "".join(UpperCamelCase__				)


if __name__ == "__main__":
			import doctest

			doctest.testmod()
			main()






