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







class 	lowerCamelCase						(    A_    ):
     UpperCAmelCase__							:				Any 	=						["image_processor", "tokenizer"]
     UpperCAmelCase__							:				Optional[int] 	=						"EfficientNetImageProcessor"
     UpperCAmelCase__							:				List[Any] 	=						("BertTokenizer", "BertTokenizerFast")





     def __init__(self :       List[str]							,       _A :       List[str]							,       _A :       str  )		->		Any:
         super().__init__(_A							,       _A  )





     def __call__(self :       List[str]							,       _A :       str=None							,       _A :       Optional[Any]=None							,       _A :       Dict="max_length"							,       _A :       int=6_4							,       _A :       Optional[Any]=None							,       **_A :       Tuple  )		->		List[Any]:
         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:
             snake_case						=   self.tokenizer(
                 _A							,       padding=_A							,       max_length=_A							,       return_tensors=_A							,       **_A  )

         if images is not None:
             snake_case						=   self.image_processor(_A							,       return_tensors=_A							,       **_A  )

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





     def 						UpperCAmelCase(self :       Optional[int]							,       *_A :       List[str]							,       **_A :       Optional[Any]  )		->		int:
         return self.tokenizer.batch_decode(*_A							,       **_A  )





     def 						UpperCAmelCase(self :       Union[str, Any]							,       *_A :       Optional[Any]							,       **_A :       Optional[Any]  )		->		Tuple:
         return self.tokenizer.decode(*_A							,       **_A  )





     @property
     def 						UpperCAmelCase(self :       Tuple  )		->		List[str]:
         snake_case						=   self.tokenizer.model_input_names
         snake_case						=   self.image_processor.model_input_names
         return list(dict.fromkeys(tokenizer_input_names + image_processor_input_names  )  )



_A       =					{
    "+": lambda x, y: x + y,
    "-": lambda x, y: x - y,
    "*": lambda x, y: x * y,
    "/": lambda x, y: x / y,
}



def 		lowercase_     (  A__						)				->				Union[str, Any]:
    """simple docstring"""

    return c.isdigit()



def 		lowercase_     (  A__						)				->				int:
    """simple docstring"""

    snake_case						=   []

    # iterate over the string in reverse order
    for c in expression.split()[::-1]:
        # push operand to stack
        if is_operand(A__						):
            stack.append(int(A__						)						)

        else:
            # pop values from stack can calculate the result
            # push the result onto the stack again
            snake_case						=   stack.pop()
            snake_case						=   stack.pop()
            stack.append(calc[c](A__					,						A__						)						)

    return stack.pop()


# Driver code
if __name__ == "__main__":
   _A       =					"+ 9 * 2 6"
   print(evaluate(test_expression))

   _A       =					"/ * 10 2 + 4 1 "
   print(evaluate(test_expression))

