



"""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

_lowercase				:				str   		=		logging.get_logger(__name__)

@add_end_docstrings(lowerCAmelCase_     )
class  __SCREAMING_SNAKE_CASE			(   lowerCAmelCase_     ):


					'''simple docstring'''





					def __init__( self							:						Optional[int],						*lowerCamelCase							:						Union[str, Any],						**lowerCamelCase							:						Optional[Any]  )->      Any:
								super().__init__(*lowerCamelCase,						**lowerCamelCase  )
								self.check_model_type(lowerCamelCase  )



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



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



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



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




					def 	snake_case ( self							:						Any,						lowerCamelCase							:						List[Any],						lowerCamelCase							:						List[Any]=5  )->      Tuple:
								if top_k > self.model.config.num_labels:
											lowerCamelCase__	:	Tuple				=self.model.config.num_labels

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

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









"""simple docstring"""






_lowercase				:				str   		=		0  # The first color of the flag.
_lowercase				:				Dict   		=		1  # The second color of the flag.
_lowercase				:				Tuple   		=		2  # The third color of the flag.
_lowercase				:				Optional[int]   		=		(red, white, blue)






def   snake_case__     (	__lowerCamelCase       :					list			):
			"""simple docstring"""
			if not sequence:
						return []
			if len(__lowerCamelCase			) == 1:
						return list(__lowerCamelCase			)
			lowerCamelCase__	:	List[Any]				=0
			lowerCamelCase__	:	Dict				=len(__lowerCamelCase			) - 1
			lowerCamelCase__	:	Tuple				=0
			while mid <= high:
						if sequence[mid] == colors[0]:
									lowerCamelCase__			,     lowerCamelCase__	:	Optional[Any]				=sequence[mid], sequence[low]
									low += 1
									mid += 1
						elif sequence[mid] == colors[1]:
									mid += 1
						elif sequence[mid] == colors[2]:
									lowerCamelCase__			,     lowerCamelCase__	:	Union[str, Any]				=sequence[high], sequence[mid]
									high -= 1
						else:
									lowerCamelCase__	:	Dict				=f'''The elements inside the sequence must contains only {colors} values'''
									raise ValueError(__lowerCamelCase			)
			return sequence


if __name__ == "__main__":
		import doctest

		doctest.testmod()

		_lowercase				:				Optional[Any]   		=		input("Enter numbers separated by commas:\n").strip()
		_lowercase				:				int   		=		[int(item.strip()) for item in user_input.split(",")]
		print(f'{dutch_national_flag_sort(unsorted)}')




