



"""simple docstring"""




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






class 			UpperCAmelCase_						(       _UpperCamelCase		):
      __SCREAMING_SNAKE_CASE		:     Union[str, Any]				  =				['image_processor', 'tokenizer']
      __SCREAMING_SNAKE_CASE		:     Optional[int]				  =				'EfficientNetImageProcessor'
      __SCREAMING_SNAKE_CASE		:     List[Any]				  =				('BertTokenizer', 'BertTokenizerFast')



      def __init__(  self  :			Tuple  ,			A  :			str  ,			A  :			List[str]		):
           super().__init__(A  ,			A		)



      def __call__(  self  :			str  ,			A  :			List[str]=None  ,			A  :			str=None  ,			A  :			str="max_length"  ,			A  :			Optional[int]=6_4  ,			A  :			Dict=None  ,			**A  :			Dict		):
           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:
                _UpperCAmelCase    :			Optional[int]              =					self.tokenizer(
                    A  ,			padding=A  ,			max_length=A  ,			return_tensors=A  ,			**A		)

           if images is not None:
                _UpperCAmelCase    :			Tuple              =					self.image_processor(A  ,			return_tensors=A  ,			**A		)

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



      def 		snake_case_      (  self  :			str  ,			*A  :			Tuple  ,			**A  :			Optional[Any]		):
           return self.tokenizer.batch_decode(*A  ,			**A		)



      def 		snake_case_      (  self  :			Optional[int]  ,			*A  :			Optional[Any]  ,			**A  :			int		):
           return self.tokenizer.decode(*A  ,			**A		)



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





"""simple docstring"""




import sys

def 		__snake_case		(   SCREAMING_SNAKE_CASE__			:		int		,						SCREAMING_SNAKE_CASE__			:		list[int]       )						->     int:





     '''simple docstring'''

     if not numbers:
          return 0
     if target == 0 and target in numbers:
          return 0
     if not isinstance(SCREAMING_SNAKE_CASE__		,						(list, tuple)       ) or not all(
         isinstance(SCREAMING_SNAKE_CASE__		,						SCREAMING_SNAKE_CASE__       ) for number in numbers       ):
          raise ValueError("numbers must be an iterable of integers"       )

     _UpperCAmelCase    :			List[Any]              =					0
     _UpperCAmelCase    :			str              =					sys.maxsize

     while right < len(SCREAMING_SNAKE_CASE__       ):
          curr_sum += numbers[right]
          while curr_sum >= target and left <= right:
               _UpperCAmelCase    :			Any              =					min(SCREAMING_SNAKE_CASE__		,						right - left + 1       )
               curr_sum -= numbers[left]
               left += 1
          right += 1

     return 0 if min_len == sys.maxsize else min_len
