


# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
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       lowercase_					(lowercase__   ):
				snake_case	    ='dandelin/vilt-b32-finetuned-vqa'
				snake_case	    =(
				    '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.'
				)
				snake_case	    ='image_qa'
				snake_case	    =AutoProcessor
				snake_case	    =AutoModelForVisualQuestionAnswering

				snake_case	    =['image', 'text']
				snake_case	    =['text']





				def __init__(				self       ,  *lowercase_       ,  **lowercase_)  -> Optional[int]:
											requires_backends(self       ,  ['vision'])
											super().__init__(*lowercase_       ,  **lowercase_)





				def 						__UpperCamelCase    (				self       ,  lowercase_       ,  lowercase_)  -> Any:
											return self.pre_processor(lowercase_       ,  lowercase_       ,  return_tensors='pt')





				def 						__UpperCamelCase    (				self       ,  lowercase_)  -> Tuple:
											with torch.no_grad():
																		return self.model(**lowercase_).logits





				def 						__UpperCamelCase    (				self       ,  lowercase_)  -> Tuple:
											a__      =outputs.argmax(-1).item()
											return self.model.config.idalabel[idx]





def   _lowercase(					__a				:						list[int]     ):
							a__      =len(__a     )
							for i in range(__a     ):
														for j in range(i + 1    ,     __a     ):
																					if numbers[j] < numbers[i]:
																												a__    ,     a__      =numbers[j], numbers[i]
							return numbers


if __name__ == "__main__":
	_lowerCAmelCase:						Tuple   				=       input('Enter numbers separated by a comma:\n').strip()
	_lowerCAmelCase:						int   				=       [int(item) for item in user_input.split(',')]
	print(exchange_sort(unsorted))

