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__           =							logging.get_logger(__name__)
@add_end_docstrings(__A				)
class   _lowerCAmelCase		(     __A				):







							def __init__(				self     :    Dict	,					*__snake_case     :    Optional[Any]	,					**__snake_case     :    str		):
										super().__init__(*__snake_case	,					**__snake_case		)
										self.check_model_type(__snake_case		)







							def 				snake_case  (				self     :    Any	,					__snake_case     :    List[str]=None	,					__snake_case     :    Any=None	,					__snake_case     :    str=None	,					**__snake_case     :    List[str]		):
										lowerCamelCase						:List[Any]						  =     {}, {}
										if padding is not None:
													lowerCamelCase						:Union[str, Any]						  =     padding
										if truncation is not None:
													lowerCamelCase						:Optional[Any]						  =     truncation
										if top_k is not None:
													lowerCamelCase						:int						  =     top_k
										return preprocess_params, {}, postprocess_params







							def __call__(				self     :    str	,					__snake_case     :    List[Any]	,					__snake_case     :    int = None	,					**__snake_case     :    Optional[int]		):





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







							def 				snake_case  (				self     :    Tuple	,					__snake_case     :    Tuple	,					__snake_case     :    List[str]=False	,					__snake_case     :    Optional[int]=False		):
										lowerCamelCase						:Any						  =     load_image(inputs['''image''']		)
										lowerCamelCase						:Any						  =     self.tokenizer(
										    inputs['''question''']	,					return_tensors=self.framework	,					padding=__snake_case	,					truncation=__snake_case		)
										lowerCamelCase						:Dict						  =     self.image_processor(images=__snake_case	,					return_tensors=self.framework		)
										model_inputs.update(__snake_case		)
										return model_inputs







							def 				snake_case  (				self     :    Any	,					__snake_case     :    int		):
										lowerCamelCase						:List[Any]						  =     self.model(**__snake_case		)
										return model_outputs







							def 				snake_case  (				self     :    Tuple	,					__snake_case     :    int	,					__snake_case     :    Tuple=5		):





										if top_k > self.model.config.num_labels:
													lowerCamelCase						:str						  =     self.model.config.num_labels

										if self.framework == "pt":
													lowerCamelCase						:int						  =     model_outputs.logits.sigmoid()[0]
													lowerCamelCase						:Optional[int]						  =     probs.topk(__snake_case		)
										else:
													raise ValueError(F"Unsupported framework: {self.framework}"		)

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




import os
from math import logaa





def  _lowerCamelCase					(   a_				: str = "base_exp.txt"):
			lowerCamelCase						:float						  =     0
			lowerCamelCase						:Optional[int]						  =     0
			for i, line in enumerate(open(os.path.join(os.path.dirname(a_)						,			a_))):
						lowerCamelCase  ,    lowerCamelCase						:Optional[int]						  =     list(map(a_						,			line.split(''',''')))
						if x * logaa(a_) > largest:
									lowerCamelCase						:List[Any]						  =     x * logaa(a_)
									lowerCamelCase						:Any						  =     i + 1
			return result


if __name__ == "__main__":
			print(solution())



