





'''simple docstring'''





from typing import List, Optional, Union

from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding, PaddingStrategy, PreTokenizedInput, TextInput, TruncationStrategy
from ...utils import TensorType


class 			lowercase				(							UpperCamelCase__     ):



						"""simple docstring"""

						_UpperCamelCase  :	Tuple								=	["""image_processor""", """tokenizer"""]
						_UpperCamelCase  :	List[Any]								=	"""BridgeTowerImageProcessor"""
						_UpperCamelCase  :	Optional[Any]								=	("""RobertaTokenizer""", """RobertaTokenizerFast""")







						def __init__(    self			:		Any ,				lowerCamelCase_			:		int ,				lowerCamelCase_			:		Optional[int]					):





										'''simple docstring'''







										super().__init__(lowerCamelCase_ ,				lowerCamelCase_					)







						def __call__(    self			:		int ,				lowerCamelCase_			:		Union[str, Any] ,				lowerCamelCase_			:		Dict = None ,				lowerCamelCase_			:		Tuple = True ,				lowerCamelCase_			:		Any = False ,				lowerCamelCase_			:		Optional[Any] = None ,				lowerCamelCase_			:		List[str] = None ,				lowerCamelCase_			:		List[str] = 0 ,				lowerCamelCase_			:		Tuple = None ,				lowerCamelCase_			:		Union[str, Any] = None ,				lowerCamelCase_			:		Optional[int] = None ,				lowerCamelCase_			:		Tuple = False ,				lowerCamelCase_			:		Optional[int] = False ,				lowerCamelCase_			:		Union[str, Any] = False ,				lowerCamelCase_			:		List[Any] = False ,				lowerCamelCase_			:		List[Any] = True ,				lowerCamelCase_			:		List[str] = None ,				**lowerCamelCase_			:		List[str] ,				):





										'''simple docstring'''







										_snake_case :			Tuple  						=   self.tokenizer(
										    text=lowerCamelCase_ ,				add_special_tokens=lowerCamelCase_ ,				padding=lowerCamelCase_ ,				truncation=lowerCamelCase_ ,				max_length=lowerCamelCase_ ,				stride=lowerCamelCase_ ,				pad_to_multiple_of=lowerCamelCase_ ,				return_token_type_ids=lowerCamelCase_ ,				return_attention_mask=lowerCamelCase_ ,				return_overflowing_tokens=lowerCamelCase_ ,				return_special_tokens_mask=lowerCamelCase_ ,				return_offsets_mapping=lowerCamelCase_ ,				return_length=lowerCamelCase_ ,				verbose=lowerCamelCase_ ,				return_tensors=lowerCamelCase_ ,				**lowerCamelCase_ ,				)
										# add pixel_values + pixel_mask
										_snake_case :			Optional[Any]  						=   self.image_processor(
										    lowerCamelCase_ ,				return_tensors=lowerCamelCase_ ,				do_normalize=lowerCamelCase_ ,				do_center_crop=lowerCamelCase_ ,				**lowerCamelCase_					)
										encoding.update(lowerCamelCase_					)

										return encoding







						def 		__UpperCAmelCase       (    self			:		Dict ,				*lowerCamelCase_			:		List[Any] ,				**lowerCamelCase_			:		List[str]					):





										'''simple docstring'''







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







						def 		__UpperCAmelCase       (    self			:		List[Any] ,				*lowerCamelCase_			:		Union[str, Any] ,				**lowerCamelCase_			:		Union[str, Any]					):





										'''simple docstring'''







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







						@property
						def 		__UpperCAmelCase       (    self			:		List[Any]					):





										'''simple docstring'''







										_snake_case :			List[str]  						=   self.tokenizer.model_input_names
										_snake_case :			Any  						=   self.image_processor.model_input_names
										return list(dict.fromkeys(tokenizer_input_names + image_processor_input_names					)					)













def       A__(		__lowerCAmelCase ):
				assert column_title.isupper()
				_snake_case :			List[Any]  						=   0
				_snake_case :			List[str]  						=   len(__lowerCAmelCase ) - 1
				_snake_case :			Dict  						=   0

				while index >= 0:
								_snake_case :			List[str]  						=   (ord(column_title[index] ) - 64) * pow(26	,			__lowerCAmelCase )
								answer += value
								power += 1
								index -= 1

				return answer


if __name__ == "__main__":
		from doctest import testmod

		testmod()






