





from typing import Union

from ..utils import add_end_docstrings, is_torch_available, is_vision_available, logging
from .base import PIPELINE_INIT_ARGS, Pipeline


if is_vision_available():
    from PIL import Image

    from ..image_utils import load_image

if is_torch_available():
    from ..models.auto.modeling_auto import MODEL_FOR_VISUAL_QUESTION_ANSWERING_MAPPING

UpperCAmelCase     :     Optional[Any]							=	logging.get_logger(__name__)







@add_end_docstrings(__SCREAMING_SNAKE_CASE)
class     __lowerCAmelCase	(   __SCREAMING_SNAKE_CASE):







      def __init__(   self		,				*lowerCAmelCase__		,				**lowerCAmelCase__							)       ->						Optional[int]:



        '''simple docstring'''




        super().__init__(*UpperCamelCase__		,				**UpperCamelCase__							)
        self.check_model_type(UpperCamelCase__							)







      def        _lowercase  (   self		,				lowerCAmelCase__=None		,				lowerCAmelCase__=None		,				lowerCAmelCase__=None		,				**lowerCAmelCase__							)       ->						Dict:



        '''simple docstring'''




        a__     : Any  ={}, {}
        if padding is not None:
          a__     : str  =padding
        if truncation is not None:
          a__     : Optional[int]  =truncation
        if top_k is not None:
          a__     : Any  =top_k
        return preprocess_params, {}, postprocess_params







      def __call__(   self		,				lowerCAmelCase__		,				lowerCAmelCase__ = None		,				**lowerCAmelCase__							)       ->						Tuple:



        '''simple docstring'''




        if isinstance(UpperCamelCase__		,				(Image.Image, str)							) and isinstance(UpperCamelCase__		,				UpperCamelCase__							):
          a__     : Any  ={'''image''': image, '''question''': question}
        else:
          a__     : Tuple  =image
        a__     : Union[str, Any]  =super().__call__(UpperCamelCase__		,				**UpperCamelCase__							)
        return results







      def        _lowercase  (   self		,				lowerCAmelCase__		,				lowerCAmelCase__=False		,				lowerCAmelCase__=False							)       ->						List[str]:



        '''simple docstring'''




        a__     : Optional[int]  =load_image(inputs["image"]							)
        a__     : Tuple  =self.tokenizer(
            inputs["question"]		,				return_tensors=self.framework		,				padding=UpperCamelCase__		,				truncation=UpperCamelCase__							)
        a__     : Tuple  =self.image_processor(images=UpperCamelCase__		,				return_tensors=self.framework							)
        model_inputs.update(UpperCamelCase__							)
        return model_inputs







      def        _lowercase  (   self		,				lowerCAmelCase__							)       ->						Tuple:



        '''simple docstring'''




        a__     : Any  =self.model(**UpperCamelCase__							)
        return model_outputs







      def        _lowercase  (   self		,				lowerCAmelCase__		,				lowerCAmelCase__=5							)       ->						Any:



        '''simple docstring'''




        if top_k > self.model.config.num_labels:
          a__     : List[str]  =self.model.config.num_labels

        if self.framework == "pt":
          a__     : Optional[Any]  =model_outputs.logits.sigmoid()[0]
          a__     : Union[str, Any]  =probs.topk(UpperCamelCase__							)
        else:
          raise ValueError(F'''Unsupported framework: {self.framework}'''							)

        a__     : List[Any]  =scores.tolist()
        a__     : Optional[int]  =ids.tolist()
        return [{"score": score, "answer": self.model.config.idalabel[_id]} for score, _id in zip(UpperCamelCase__		,				UpperCamelCase__							)]













UpperCAmelCase     :     Dict							=	[0, 2, 4, 6, 8]
UpperCAmelCase     :     Tuple							=	[1, 3, 5, 7, 9]
def 					_A	(		SCREAMING_SNAKE_CASE					:       int	,	SCREAMING_SNAKE_CASE					:       int	,	SCREAMING_SNAKE_CASE					:       list[int]	,	SCREAMING_SNAKE_CASE					:       int						):





  """simple docstring"""



  if remaining_length == 0:
    if digits[0] == 0 or digits[-1] == 0:
      return 0

    for i in range(length // 2 - 1	,	-1	,	-1						):
      remainder += digits[i] + digits[length - i - 1]

      if remainder % 2 == 0:
        return 0

      remainder //= 10

    return 1

  if remaining_length == 1:
    if remainder % 2 == 0:
      return 0

    a__     : str  =0
    for digit in range(10						):
      a__     : int  =digit
      result += reversible_numbers(
          0	,	(remainder + 2 * digit) // 10	,	SCREAMING_SNAKE_CASE	,	SCREAMING_SNAKE_CASE						)
    return result

  a__     : List[str]  =0
  for digita in range(10						):
    a__     : Optional[int]  =digita

    if (remainder + digita) % 2 == 0:
      a__     : Dict  =ODD_DIGITS
    else:
      a__     : Any  =EVEN_DIGITS

    for digita in other_parity_digits:
      a__     : Union[str, Any]  =digita
      result += reversible_numbers(
          remaining_length - 2	,	(remainder + digita + digita) // 10	,	SCREAMING_SNAKE_CASE	,	SCREAMING_SNAKE_CASE	,	)
  return result
def 					_A	(		SCREAMING_SNAKE_CASE					:       int = 9						):





  """simple docstring"""



  a__     : List[str]  =0
  for length in range(1	,	max_power + 1						):
    result += reversible_numbers(SCREAMING_SNAKE_CASE	,	0	,	[0] * length	,	SCREAMING_SNAKE_CASE						)
  return result


if __name__ == "__main__":
     print(F"""{solution() = }""")






