import warnings

from ...utils import logging
from .image_processing_conditional_detr import ConditionalDetrImageProcessor


UpperCamelCase      			=     logging.get_logger(__name__)


class _a       (	lowerCAmelCase__ ):

	'''simple docstring'''



	def __init__(       self							,			*__UpperCAmelCase							,			**__UpperCAmelCase   ):
			warnings.warn(
			    "The class ConditionalDetrFeatureExtractor is deprecated and will be removed in version 5 of Transformers."
			    " Please use ConditionalDetrImageProcessor instead."							,			__UpperCAmelCase							,			)
			super().__init__(*__UpperCAmelCase							,			**__UpperCAmelCase   )






def    lowerCamelCase_   (  _lowercase ,     _lowercase ,     _lowercase    )							->	Tuple:
		__A							:   Union[str, Any]	  =				index
		__A							:   int	  =				2 * index + 1
		__A							:   Dict	  =				2 * index + 2
		if left_index < heap_size and unsorted[left_index] > unsorted[largest]:
				__A							:   Dict	  =				left_index

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

		if largest != index:
				__A  ,       __A							:   Dict	  =				unsorted[index], unsorted[largest]
				heapify(_lowercase ,     _lowercase ,     _lowercase    )



def    lowerCamelCase_   (  _lowercase    )							->	Tuple:
		__A							:   Dict	  =				len(_lowercase    )
		for i in range(n // 2 - 1 ,     -1 ,     -1    ):
				heapify(_lowercase ,     _lowercase ,     _lowercase    )
		for i in range(n - 1 ,     0 ,     -1    ):
				__A  ,       __A							:   Dict	  =				unsorted[i], unsorted[0]
				heapify(_lowercase ,     0 ,     _lowercase    )
		return unsorted


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





