from typing import TYPE_CHECKING

import torch

from ..models.auto import AutoModelForVisualQuestionAnswering, AutoProcessor
from ..utils import requires_backends
from .base import PipelineTool


if TYPE_CHECKING:
						from PIL import Image






class    SCREAMING_SNAKE_CASE			(							UpperCamelCase__					):
							__lowerCamelCase	:	int    ="""dandelin/vilt-b32-finetuned-vqa"""
							__lowerCamelCase	:	Tuple    =(
							    """This is a tool that answers a question about an image. It takes an input named `image` which should be the """
							    """image containing the information, as well as a `question` which should be the question in English. It """
							    """returns a text that is the answer to the question."""
							)
							__lowerCamelCase	:	Optional[Any]    ="""image_qa"""
							__lowerCamelCase	:	Tuple    =AutoProcessor
							__lowerCamelCase	:	Optional[Any]    =AutoModelForVisualQuestionAnswering

							__lowerCamelCase	:	Union[str, Any]    =["""image""", """text"""]
							__lowerCamelCase	:	Union[str, Any]    =["""text"""]





							def __init__(   self		:		List[str]      ,				*__lowercase		:		Optional[int]      ,				**__lowercase		:		Any	):

											'''simple docstring'''
											requires_backends(self      ,				["""vision"""]	)
											super().__init__(*__lowercase      ,				**__lowercase	)





							def 						UpperCamelCase_					(   self		:		Any      ,				__lowercase		:		Union[str, Any]      ,				__lowercase		:		Any	):

											'''simple docstring'''
											return self.pre_processor(__lowercase      ,				__lowercase      ,				return_tensors="""pt"""	)





							def 						UpperCamelCase_					(   self		:		Any      ,				__lowercase		:		Any	):

											'''simple docstring'''
											with torch.no_grad():
															return self.model(**__lowercase	).logits







							def 						UpperCamelCase_					(   self		:		str      ,				__lowercase		:		Any	):

											'''simple docstring'''
											__a       =		outputs.argmax(-1	).item()
											return self.model.config.idalabel[idx]





def   lowerCAmelCase__						(							_SCREAMING_SNAKE_CASE       :			Tuple				,     _SCREAMING_SNAKE_CASE       :			Tuple				,     _SCREAMING_SNAKE_CASE       :			Tuple=False    ):
				"""simple docstring"""







				if isinstance(_SCREAMING_SNAKE_CASE				,     _SCREAMING_SNAKE_CASE    ) and isinstance(_SCREAMING_SNAKE_CASE				,     _SCREAMING_SNAKE_CASE    ):
								__a       =		len(set_a.intersection(_SCREAMING_SNAKE_CASE    )    )

								if alternative_union:
												__a       =		len(_SCREAMING_SNAKE_CASE    ) + len(_SCREAMING_SNAKE_CASE    )
								else:
												__a       =		len(set_a.union(_SCREAMING_SNAKE_CASE    )    )

								return intersection / union

				if isinstance(_SCREAMING_SNAKE_CASE				,     (list, tuple)    ) and isinstance(_SCREAMING_SNAKE_CASE				,     (list, tuple)    ):
								__a       =		[element for element in set_a if element in set_b]

								if alternative_union:
												__a       =		len(_SCREAMING_SNAKE_CASE    ) + len(_SCREAMING_SNAKE_CASE    )
												return len(_SCREAMING_SNAKE_CASE    ) / union
								else:
												__a       =		set_a + [element for element in set_b if element not in set_a]
												return len(_SCREAMING_SNAKE_CASE    ) / len(_SCREAMING_SNAKE_CASE    )

								return len(_SCREAMING_SNAKE_CASE    ) / len(_SCREAMING_SNAKE_CASE    )
				return None


if __name__ == "__main__":
						lowerCamelCase__			= {"""a""", """b""", """c""", """d""", """e"""}
						lowerCamelCase__			= {"""c""", """d""", """e""", """f""", """h""", """i"""}
						print(jaccard_similarity(set_a, set_b))
