



"""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   					=       ['image_processor', 'tokenizer']
							_UpperCAmelCase   					=       'BridgeTowerImageProcessor'
							_UpperCAmelCase   					=       ('RobertaTokenizer', 'RobertaTokenizerFast')






							def __init__(	self						,							snake_case						,							snake_case    )      ->				str:
									super().__init__(lowerCAmelCase_						,							lowerCAmelCase_    )






							def __call__(	self						,							snake_case						,							snake_case = None						,							snake_case = True						,							snake_case = False						,							snake_case = None						,							snake_case = None						,							snake_case = 0						,							snake_case = None						,							snake_case = None						,							snake_case = None						,							snake_case = False						,							snake_case = False						,							snake_case = False						,							snake_case = False						,							snake_case = True						,							snake_case = None						,							**snake_case						,							)      ->				BatchEncoding:
									_UpperCAmelCase							=		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
									_UpperCAmelCase							=		self.image_processor(
									    lowerCAmelCase_						,							return_tensors=lowerCAmelCase_						,							do_normalize=lowerCAmelCase_						,							do_center_crop=lowerCAmelCase_						,							**lowerCAmelCase_    )
									encoding.update(lowerCAmelCase_    )

									return encoding






							def 							lowerCamelCase_ (	self						,							*snake_case						,							**snake_case    )      ->				Optional[Any]:
									return self.tokenizer.batch_decode(*lowerCAmelCase_						,							**lowerCAmelCase_    )






							def 							lowerCamelCase_ (	self						,							*snake_case						,							**snake_case    )      ->				Any:
									return self.tokenizer.decode(*lowerCAmelCase_						,							**lowerCAmelCase_    )






							@property
							def 							lowerCamelCase_ (	self    )      ->				Tuple:
									_UpperCAmelCase							=		self.tokenizer.model_input_names
									_UpperCAmelCase							=		self.image_processor.model_input_names
									return list(dict.fromkeys(tokenizer_input_names + image_processor_input_names    )    )










"""simple docstring"""
def 				lowercase__		(					lowerCamelCase,						lowerCamelCase       ):
				return numa ^ numa < 0


if __name__ == "__main__":
			import doctest

			doctest.testmod()

