





'''simple docstring'''






def      UpperCamelCase__   (	lowerCAmelCase							,			lowerCAmelCase							,			lowerCAmelCase						):





      """simple docstring"""


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

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

      if largest != index:
            _lowerCAmelCase  ,							_lowerCAmelCase							  =							unsorted[index], unsorted[largest]
            heapify(lowercase__							,			lowercase__							,			lowercase__						)
def      UpperCamelCase__   (	lowerCAmelCase						):





      """simple docstring"""


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


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













'''simple docstring'''






from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


A__       :     Tuple          ={
    '''configuration_oneformer''': ['''ONEFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''OneFormerConfig'''],
    '''processing_oneformer''': ['''OneFormerProcessor'''],
}

try:
      if not is_vision_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      A__       :     List[str]          =['''OneFormerImageProcessor''']

try:
      if not is_torch_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      A__       :     Dict          =[
          '''ONEFORMER_PRETRAINED_MODEL_ARCHIVE_LIST''',
          '''OneFormerForUniversalSegmentation''',
          '''OneFormerModel''',
          '''OneFormerPreTrainedModel''',
      ]

if TYPE_CHECKING:
      from .configuration_oneformer import ONEFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, OneFormerConfig
      from .processing_oneformer import OneFormerProcessor

      try:
            if not is_vision_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .image_processing_oneformer import OneFormerImageProcessor
      try:
            if not is_torch_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_oneformer import (
                ONEFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
                OneFormerForUniversalSegmentation,
                OneFormerModel,
                OneFormerPreTrainedModel,
            )


else:
      import sys

      A__       :     Optional[Any]          =_LazyModule(__name__, globals()['''__file__'''], _import_structure)






