




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	:						List[Any]			=     logging.get_logger(__name__)




@add_end_docstrings(lowerCAmelCase)
class    __lowerCAmelCase       (							lowerCAmelCase):






       def __init__(   self:					Dict       ,					*_lowerCAmelCase:					int       ,					**_lowerCAmelCase:					Dict				):
         super().__init__(*_lowerCAmelCase       ,					**_lowerCAmelCase				)
         self.check_model_type(_lowerCAmelCase				)






       def 					SCREAMING_SNAKE_CASE    (   self:					Dict       ,					_lowerCAmelCase:					Optional[Any]=None       ,					_lowerCAmelCase:					List[Any]=None       ,					_lowerCAmelCase:					int=None       ,					**_lowerCAmelCase:					List[Any]				):
         lowercase	,    lowercase    :int      	=						{}, {}
         if padding is not None:
           lowercase    :Optional[Any]      	=						padding
         if truncation is not None:
           lowercase    :List[Any]      	=						truncation
         if top_k is not None:
           lowercase    :List[str]      	=						top_k
         return preprocess_params, {}, postprocess_params






       def __call__(   self:					Any       ,					_lowerCAmelCase:					Union["Image.Image", str]       ,					_lowerCAmelCase:					str = None       ,					**_lowerCAmelCase:					List[Any]				):
         if isinstance(_lowerCAmelCase       ,					(Image.Image, str)				) and isinstance(_lowerCAmelCase       ,					_lowerCAmelCase				):
           lowercase    :int      	=						{"image": image, "question": question}
         else:
           lowercase    :List[str]      	=						image
         lowercase    :Tuple      	=						super().__call__(_lowerCAmelCase       ,					**_lowerCAmelCase				)
         return results






       def 					SCREAMING_SNAKE_CASE    (   self:					Union[str, Any]       ,					_lowerCAmelCase:					int       ,					_lowerCAmelCase:					Tuple=False       ,					_lowerCAmelCase:					List[str]=False				):
         lowercase    :Any      	=						load_image(inputs["image"]				)
         lowercase    :List[Any]      	=						self.tokenizer(
             inputs["question"]       ,					return_tensors=self.framework       ,					padding=_lowerCAmelCase       ,					truncation=_lowerCAmelCase				)
         lowercase    :str      	=						self.image_processor(images=_lowerCAmelCase       ,					return_tensors=self.framework				)
         model_inputs.update(_lowerCAmelCase				)
         return model_inputs






       def 					SCREAMING_SNAKE_CASE    (   self:					Optional[Any]       ,					_lowerCAmelCase:					Any				):
         lowercase    :Any      	=						self.model(**_lowerCAmelCase				)
         return model_outputs






       def 					SCREAMING_SNAKE_CASE    (   self:					Any       ,					_lowerCAmelCase:					Any       ,					_lowerCAmelCase:					List[Any]=5				):
         if top_k > self.model.config.num_labels:
           lowercase    :str      	=						self.model.config.num_labels

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

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









def       UpperCAmelCase__  (     lowerCamelCase   ):
  return 10 - x * x



def       UpperCAmelCase__  (     lowerCamelCase,			lowerCamelCase   ):
  # Bolzano theory in order to find if there is a root between a and b
  if equation(lowerCamelCase   ) * equation(lowerCamelCase   ) >= 0:
    raise ValueError("Wrong space!"   )

  lowercase    :Optional[int]      	=						a
  while (b - a) >= 0.01:
    # Find middle point
    lowercase    :Optional[Any]      	=						(a + b) / 2
    # Check if middle point is root
    if equation(lowerCamelCase   ) == 0.0:
      break
    # Decide the side to repeat the steps
    if equation(lowerCamelCase   ) * equation(lowerCamelCase   ) < 0:
      lowercase    :Any      	=						c
    else:
      lowercase    :List[Any]      	=						c
  return c


if __name__ == "__main__":
     import doctest

     doctest.testmod()

     print(bisection(-2, 5))
     print(bisection(0, 6))



