


from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding
class 					__magic_name__		(			__UpperCAmelCase     ):
       __A			:      Any        =   ["image_processor", "tokenizer"]
       __A			:      List[str]        =   "AutoImageProcessor"
       __A			:      List[str]        =   "AutoTokenizer"






       def __init__(   self  :    Dict  ,     snake_case__  :    Optional[Any]  ,     snake_case__  :    Optional[Any]				):

              '''simple docstring'''






              super().__init__(snake_case__  ,     snake_case__				)
              lowercase		:Union[str, Any]       							=				self.image_processor






       def __call__(   self  :    List[Any]  ,     snake_case__  :    Optional[int]=None  ,     snake_case__  :    Optional[int]=None  ,     snake_case__  :    List[str]=None  ,     **snake_case__  :    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		:int       							=				self.tokenizer(snake_case__  ,     return_tensors=snake_case__  ,     **snake_case__				)

              if images is not None:
                     lowercase		:List[Any]       							=				self.image_processor(snake_case__  ,     return_tensors=snake_case__  ,     **snake_case__				)

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






       def  __snake_case						(   self  :    Any  ,     *snake_case__  :    Union[str, Any]  ,     **snake_case__  :    Optional[Any]				):

              '''simple docstring'''






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






       def  __snake_case						(   self  :    Optional[Any]  ,     *snake_case__  :    Optional[int]  ,     **snake_case__  :    Tuple				):

              '''simple docstring'''






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







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

              '''simple docstring'''






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





"""simple docstring"""



def       lowerCamelCase					(a_						:int)     ->							str:
       if number > 0:
              raise ValueError('''input must be a negative integer''')
       lowercase		:Any       							=				len(bin(a_)[3:])
       lowercase		:Any       							=				bin(abs(a_) - (1 << binary_number_length))[3:]
       lowercase		:Tuple       							=				(
           (
               '''1'''
               + '''0''' * (binary_number_length - len(a_))
               + twos_complement_number
           )
           if number < 0
           else '''0'''
       )
       return "0b" + twos_complement_number


if __name__ == "__main__":
 import doctest

 doctest.testmod()

