






"""simple docstring"""







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

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


@add_end_docstrings(SCREAMING_SNAKE_CASE__							)
class    __UpperCAmelCase(       SCREAMING_SNAKE_CASE__							):




						"""simple docstring"""




						def __init__(       self	,  *snake_case__	,  **snake_case__      ):
												'''simple docstring'''
												super().__init__(*snake_case__	,  **snake_case__      )
												self.check_model_type(snake_case__      )




						def 		UpperCAmelCase_	(       self	,  snake_case__=None	,  snake_case__=None	,  snake_case__=None	,  **snake_case__      ):
												'''simple docstring'''
												lowercase__,     lowercase__    :				List[str]=	{}, {}
												if padding is not None:
																		lowercase__    :				Optional[int]=	padding
												if truncation is not None:
																		lowercase__    :				List[Any]=	truncation
												if top_k is not None:
																		lowercase__    :				str=	top_k
												return preprocess_params, {}, postprocess_params




						def __call__(       self	,  snake_case__	,  snake_case__ = None	,  **snake_case__      ):
												'''simple docstring'''
												if isinstance(snake_case__	,  (Image.Image, str)      ) and isinstance(snake_case__	,  snake_case__      ):
																		lowercase__    :				Optional[Any]=	{"image": image, "question": question}
												else:
																		lowercase__    :				Dict=	image
												lowercase__    :				Union[str, Any]=	super().__call__(snake_case__	,  **snake_case__      )
												return results




						def 		UpperCAmelCase_	(       self	,  snake_case__	,  snake_case__=False	,  snake_case__=False      ):
												'''simple docstring'''
												lowercase__    :				Optional[Any]=	load_image(inputs["image"]      )
												lowercase__    :				int=	self.tokenizer(
												    inputs["question"]	,  return_tensors=self.framework	,  padding=snake_case__	,  truncation=snake_case__      )
												lowercase__    :				int=	self.image_processor(images=snake_case__	,  return_tensors=self.framework      )
												model_inputs.update(snake_case__      )
												return model_inputs




						def 		UpperCAmelCase_	(       self	,  snake_case__      ):
												'''simple docstring'''
												lowercase__    :				Optional[int]=	self.model(**snake_case__      )
												return model_outputs




						def 		UpperCAmelCase_	(       self	,  snake_case__	,  snake_case__=5      ):
												'''simple docstring'''
												if top_k > self.model.config.num_labels:
																		lowercase__    :				Dict=	self.model.config.num_labels

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

												lowercase__    :				List[str]=	scores.tolist()
												lowercase__    :				int=	ids.tolist()
												return [{"score": score, "answer": self.model.config.idalabel[_id]} for score, _id in zip(snake_case__	,  snake_case__      )]














"""simple docstring"""







from __future__ import annotations


class    __UpperCAmelCase:




						"""simple docstring"""




						def __init__(       self	,  snake_case__=None      ):
												'''simple docstring'''
												lowercase__    :				Union[str, Any]=	data
												lowercase__    :				Optional[Any]=	None




						def __repr__(       self      ):
												'''simple docstring'''
												lowercase__    :				str=	[]
												lowercase__    :				Tuple=	self
												while temp:
																		string_rep.append(F'''{temp.data}'''      )
																		lowercase__    :				Optional[int]=	temp.next
												return "->".join(snake_case__      )





def 						lowercase__(A						)    ->Dict:




						"""simple docstring"""



						if not elements_list:
												raise Exception("The Elements List is empty"						)

						lowercase__    :				Optional[int]=	Node(elements_list[0]						)
						for i in range(1 ,		len(A						)						):
												lowercase__    :				Optional[Any]=	Node(elements_list[i]						)
												lowercase__    :				str=	current.next
						return head





def 						lowercase__(A						)    ->None:




						"""simple docstring"""



						if head_node is not None and isinstance(A ,		A						):
												print_reverse(head_node.next						)
												print(head_node.data						)





def 						lowercase__()    ->str:




						"""simple docstring"""



						from doctest import testmod

						testmod()

						lowercase__    :				Optional[int]=	make_linked_list([14, 52, 14, 12, 43]						)
						print("Linked List:"						)
						print(A						)
						print("Elements in Reverse:"						)
						print_reverse(A						)


if __name__ == "__main__":
			main()






