





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 		__a				(						__SCREAMING_SNAKE_CASE   ):
       __snake_case    : Dict   =		["""image_processor""", """tokenizer"""]
       __snake_case    : Any   =		"""BridgeTowerImageProcessor"""
       __snake_case    : Union[str, Any]   =		("""RobertaTokenizer""", """RobertaTokenizerFast""")



       def __init__(  self						: Tuple       ,      UpperCAmelCase						: Union[str, Any]       ,      UpperCAmelCase						: List[str]      ):
           super().__init__(A_       ,      A_      )



       def __call__(  self						: Union[str, Any]       ,      UpperCAmelCase						: Dict       ,      UpperCAmelCase						: Optional[int] = None       ,      UpperCAmelCase						: Optional[int] = True       ,      UpperCAmelCase						: int = False       ,      UpperCAmelCase						: List[str] = None       ,      UpperCAmelCase						: str = None       ,      UpperCAmelCase						: Any = 0       ,      UpperCAmelCase						: List[Any] = None       ,      UpperCAmelCase						: Optional[int] = None       ,      UpperCAmelCase						: Dict = None       ,      UpperCAmelCase						: Dict = False       ,      UpperCAmelCase						: Optional[Any] = False       ,      UpperCAmelCase						: str = False       ,      UpperCAmelCase						: int = False       ,      UpperCAmelCase						: Optional[Any] = True       ,      UpperCAmelCase						: Optional[Any] = None       ,      **UpperCAmelCase						: Dict       ,      ):
           lowerCAmelCase_       :						int							= self.tokenizer(
               text=A_       ,      add_special_tokens=A_       ,      padding=A_       ,      truncation=A_       ,      max_length=A_       ,      stride=A_       ,      pad_to_multiple_of=A_       ,      return_token_type_ids=A_       ,      return_attention_mask=A_       ,      return_overflowing_tokens=A_       ,      return_special_tokens_mask=A_       ,      return_offsets_mapping=A_       ,      return_length=A_       ,      verbose=A_       ,      return_tensors=A_       ,      **A_       ,      )
           # add pixel_values + pixel_mask
           lowerCAmelCase_       :						Any							= self.image_processor(
               A_       ,      return_tensors=A_       ,      do_normalize=A_       ,      do_center_crop=A_       ,      **A_      )
           encoding.update(A_      )

           return encoding



       def 			A				(  self						: Union[str, Any]       ,      *UpperCAmelCase						: Dict       ,      **UpperCAmelCase						: Union[str, Any]      ):
           return self.tokenizer.batch_decode(*A_       ,      **A_      )



       def 			A				(  self						: Any       ,      *UpperCAmelCase						: Union[str, Any]       ,      **UpperCAmelCase						: Tuple      ):
           return self.tokenizer.decode(*A_       ,      **A_      )



       @property
       def 			A				(  self						: int      ):
           lowerCAmelCase_       :						Optional[Any]							= self.tokenizer.model_input_names
           lowerCAmelCase_       :						List[str]							= self.image_processor.model_input_names
           return list(dict.fromkeys(tokenizer_input_names + image_processor_input_names      )      )









class 					__snake_case	:


    '''simple docstring'''







    def __init__(       self   ,				A_   ,				A_   ,				A_     ):





        '''simple docstring'''

        SCREAMING_SNAKE_CASE__											=			name
        SCREAMING_SNAKE_CASE__											=			value
        SCREAMING_SNAKE_CASE__											=			weight



    def __repr__(       self     ):





        '''simple docstring'''

        return f'''{self.__class__.__name__}({self.name}, {self.value}, {self.weight})'''



    def  lowercase_					(       self     ):





        '''simple docstring'''

        return self.value



    def  lowercase_					(       self     ):





        '''simple docstring'''

        return self.name



    def  lowercase_					(       self     ):





        '''simple docstring'''

        return self.weight




    def  lowercase_					(       self     ):





        '''simple docstring'''

        return self.value / self.weight





def 							__snake_case							(    lowerCAmelCase_ ,							lowerCAmelCase_ ,							lowerCAmelCase_	)				->						Any:
    SCREAMING_SNAKE_CASE__											=			[]
    for i in range(len(lowerCAmelCase_	)	):
        menu.append(Things(name[i] ,							value[i] ,							weight[i]	)	)
    return menu


def 							__snake_case							(    lowerCAmelCase_ ,							lowerCAmelCase_ ,							lowerCAmelCase_	)				->						Dict:
    SCREAMING_SNAKE_CASE__											=			sorted(lowerCAmelCase_ ,							key=lowerCAmelCase_ ,							reverse=lowerCAmelCase_	)
    SCREAMING_SNAKE_CASE__											=			[]
    SCREAMING_SNAKE_CASE__				,		SCREAMING_SNAKE_CASE__											=			0.0, 0.0
    for i in range(len(lowerCAmelCase_	)	):
        if (total_cost + items_copy[i].get_weight()) <= max_cost:
            result.append(items_copy[i]	)
            total_cost += items_copy[i].get_weight()
            total_value += items_copy[i].get_value()
    return (result, total_value)


def 							__snake_case							(    )				->						str:
    pass


if __name__ == "__main__":
  import doctest

  doctest.testmod()
