





def     lowercase__       (       __lowercase						:  Any    ,  __lowercase						:  Dict    ,  __lowercase						:  Any					)			->				Optional[int]:



       """simple docstring"""






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

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

       if largest != index:
              __UpperCamelCase	,						__UpperCamelCase	=  unsorted[index], unsorted[largest]
              heapify(__lowercase    ,  __lowercase    ,  __lowercase					)
def     lowercase__       (       __lowercase						:  Union[str, Any]					)			->				List[Any]:



       """simple docstring"""






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


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







'''simple docstring'''
a__							:							int			='''
# Transformers installation
! pip install transformers datasets evaluate
# To install from source instead of the last release, comment the command above and uncomment the following one.
# ! pip install git+https://github.com/huggingface/transformers.git
'''

a__							:							List[Any]			=[{'''type''': '''code''', '''content''': INSTALL_CONTENT}]
a__							:							Dict			={
    '''{processor_class}''': '''FakeProcessorClass''',
    '''{model_class}''': '''FakeModelClass''',
    '''{object_class}''': '''FakeObjectClass''',
}
