


'''simple docstring'''
def      __snake_case       (       lowerCamelCase_ :				List[Any]	,  lowerCamelCase_ :				List[str]	,  lowerCamelCase_ :				Optional[int]						):
				'''simple docstring'''




				__magic_name__	  = index
				__magic_name__	  = 2 * index + 1
				__magic_name__	  = 2 * index + 2
				if left_index < heap_size and unsorted[left_index] > unsorted[largest]:
								__magic_name__	  = left_index

				if right_index < heap_size and unsorted[right_index] > unsorted[largest]:
								__magic_name__	  = right_index

				if largest != index:
								__magic_name__  ,      __magic_name__	  = unsorted[index], unsorted[largest]
								heapify(lowerCamelCase_	,  lowerCamelCase_	,  lowerCamelCase_						)




def      __snake_case       (       lowerCamelCase_ :				List[Any]						):
				'''simple docstring'''




				__magic_name__	  = len(lowerCamelCase_						)
				for i in range(n // 2 - 1	,  -1	,  -1						):
								heapify(lowerCamelCase_	,  lowerCamelCase_	,  lowerCamelCase_						)
				for i in range(n - 1	,  0	,  -1						):
								__magic_name__  ,      __magic_name__	  = unsorted[i], unsorted[0]
								heapify(lowerCamelCase_	,  0	,  lowerCamelCase_						)
				return unsorted


if __name__ == "__main__":
						__magic_name__   :   Dict  							=input('Enter numbers separated by a comma:\n').strip()
						__magic_name__   :   List[Any]  							=[int(item) for item in user_input.split(',')]
						print(heap_sort(unsorted))







'''simple docstring'''
import warnings

from ...utils import logging
from .image_processing_convnext import ConvNextImageProcessor


__magic_name__   :   int  							=logging.get_logger(__name__)






class 		UpperCamelCase_		(					A   ):





						"""simple docstring"""




						def __init__( self				:					List[str]	,				*_lowerCamelCase				:					List[str]	,				**_lowerCamelCase				:					Optional[Any]  )							->					None:
										warnings.warn(
										    "The class ConvNextFeatureExtractor is deprecated and will be removed in version 5 of Transformers."
										    " Please use ConvNextImageProcessor instead."	,				_lowerCamelCase	,				)
										super().__init__(*_lowerCamelCase	,				**_lowerCamelCase  )



