

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

lowercase_       		=  logging.get_logger(__name__)


@add_end_docstrings(_UpperCAmelCase )
class  A						(							_UpperCAmelCase ):







    """simple docstring"""





    def __init__(      self :       Optional[Any],*lowercase_ :       Any,**lowercase_ :       Union[str, Any]		)->    Any:





        '''simple docstring'''







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


    def 						snake_case__     (      self :       Dict,lowercase_ :       Any=None,lowercase_ :       Any=None,lowercase_ :       Any=None,**lowercase_ :       Optional[int]		)->    Union[str, Any]:





        '''simple docstring'''







        A__      ,						A__          =   {}, {}
        if padding is not None:
            A__          =   padding
        if truncation is not None:
            A__          =   truncation
        if top_k is not None:
            A__          =   top_k
        return preprocess_params, {}, postprocess_params


    def __call__(      self :       Dict,lowercase_ :       Union["Image.Image", str],lowercase_ :       str = None,**lowercase_ :       List[Any]		)->    Tuple:





        '''simple docstring'''







        if isinstance(lowercase_,(Image.Image, str)		) and isinstance(lowercase_,lowercase_		):
            A__          =   {'image': image, 'question': question}
        else:
            A__          =   image
        A__          =   super().__call__(lowercase_,**lowercase_		)
        return results


    def 						snake_case__     (      self :       str,lowercase_ :       Any,lowercase_ :       int=False,lowercase_ :       List[Any]=False		)->    Tuple:





        '''simple docstring'''







        A__          =   load_image(inputs['image']		)
        A__          =   self.tokenizer(
            inputs['question'],return_tensors=self.framework,padding=lowercase_,truncation=lowercase_		)
        A__          =   self.image_processor(images=lowercase_,return_tensors=self.framework		)
        model_inputs.update(lowercase_		)
        return model_inputs


    def 						snake_case__     (      self :       Union[str, Any],lowercase_ :       Union[str, Any]		)->    List[str]:





        '''simple docstring'''







        A__          =   self.model(**lowercase_		)
        return model_outputs


    def 						snake_case__     (      self :       str,lowercase_ :       str,lowercase_ :       List[Any]=5		)->    int:





        '''simple docstring'''







        if top_k > self.model.config.num_labels:
            A__          =   self.model.config.num_labels

        if self.framework == "pt":
            A__          =   model_outputs.logits.sigmoid()[0]
            A__      ,						A__          =   probs.topk(lowercase_		)
        else:
            raise ValueError(F'Unsupported framework: {self.framework}'		)

        A__          =   scores.tolist()
        A__          =   ids.tolist()
        return [{"score": score, "answer": self.model.config.idalabel[_id]} for score, _id in zip(lowercase_,lowercase_		)]




def 						_snake_case(    SCREAMING_SNAKE_CASE__			:	Optional[Any]    ,			SCREAMING_SNAKE_CASE__			:	Union[str, Any]      )							->      Tuple:





    '''simple docstring'''






    A__          =   0
    A__          =   len(SCREAMING_SNAKE_CASE__      ) - 1

    while left <= right:
        # avoid divided by 0 during interpolation
        if sorted_collection[left] == sorted_collection[right]:
            if sorted_collection[left] == item:
                return left
            else:
                return None

        A__          =   left + ((item - sorted_collection[left]) * (right - left)) // (
            sorted_collection[right] - sorted_collection[left]
        )

        # out of range check
        if point < 0 or point >= len(SCREAMING_SNAKE_CASE__      ):
            return None

        A__          =   sorted_collection[point]
        if current_item == item:
            return point
        else:
            if point < left:
                A__          =   left
                A__          =   point
            elif point > right:
                A__          =   right
                A__          =   point
            else:
                if item < current_item:
                    A__          =   point - 1
                else:
                    A__          =   point + 1
    return None
def 						_snake_case(    SCREAMING_SNAKE_CASE__			:	Optional[Any]    ,			SCREAMING_SNAKE_CASE__			:	List[str]    ,			SCREAMING_SNAKE_CASE__			:	Optional[Any]    ,			SCREAMING_SNAKE_CASE__			:	List[str]      )							->      str:





    '''simple docstring'''






    if sorted_collection[left] == sorted_collection[right]:
        if sorted_collection[left] == item:
            return left
        else:
            return None

    A__          =   left + ((item - sorted_collection[left]) * (right - left)) // (
        sorted_collection[right] - sorted_collection[left]
    )

    # out of range check
    if point < 0 or point >= len(SCREAMING_SNAKE_CASE__      ):
        return None

    if sorted_collection[point] == item:
        return point
    elif point < left:
        return interpolation_search_by_recursion(SCREAMING_SNAKE_CASE__    ,			SCREAMING_SNAKE_CASE__    ,			SCREAMING_SNAKE_CASE__    ,			SCREAMING_SNAKE_CASE__      )
    elif point > right:
        return interpolation_search_by_recursion(SCREAMING_SNAKE_CASE__    ,			SCREAMING_SNAKE_CASE__    ,			SCREAMING_SNAKE_CASE__    ,			SCREAMING_SNAKE_CASE__      )
    else:
        if sorted_collection[point] > item:
            return interpolation_search_by_recursion(
                SCREAMING_SNAKE_CASE__    ,			SCREAMING_SNAKE_CASE__    ,			SCREAMING_SNAKE_CASE__    ,			point - 1      )
        else:
            return interpolation_search_by_recursion(
                SCREAMING_SNAKE_CASE__    ,			SCREAMING_SNAKE_CASE__    ,			point + 1    ,			SCREAMING_SNAKE_CASE__      )
def 						_snake_case(    SCREAMING_SNAKE_CASE__			:	Tuple      )							->      Tuple:





    '''simple docstring'''






    if collection != sorted(SCREAMING_SNAKE_CASE__      ):
        raise ValueError('Collection must be ascending sorted'      )
    return True


if __name__ == "__main__":
     import sys
     lowercase_       		=  0
     if debug == 1:
          lowercase_       		=  [10, 30, 40, 45, 50, 66, 77, 93]
          try:
               __assert_sorted(collection)
          except ValueError:
               sys.exit("Sequence must be ascending sorted to apply interpolation search")
          lowercase_       		=  67

     lowercase_       		=  interpolation_search(collection, target)
     if result is not None:
          print(f"""{target} found at positions: {result}""")
     else:
          print("Not found")

