

def  _snake_case		(snake_case_					:     Optional[Any]    ,       snake_case_					:     str    ,       snake_case_					:     List[str]  )							->		Optional[Any]:
  __UpperCAmelCase	:  List[Any]		=     index
  __UpperCAmelCase	:  Optional[Any]		=     2 * index + 1
  __UpperCAmelCase	:  Optional[Any]		=     2 * index + 2
  if left_index < heap_size and unsorted[left_index] > unsorted[largest]:
    __UpperCAmelCase	:  Optional[int]		=     left_index

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

  if largest != index:
    __UpperCAmelCase,			__UpperCAmelCase	:  List[Any]		=     unsorted[index], unsorted[largest]
    heapify(snake_case_    ,       snake_case_    ,       snake_case_  )





def  _snake_case		(snake_case_					:     Optional[int]  )							->		Dict:
  __UpperCAmelCase	:  Dict		=     len(snake_case_  )
  for i in range(n // 2 - 1    ,       -1    ,       -1  ):
    heapify(snake_case_    ,       snake_case_    ,       snake_case_  )
  for i in range(n - 1    ,       0    ,       -1  ):
    __UpperCAmelCase,			__UpperCAmelCase	:  Any		=     unsorted[i], unsorted[0]
    heapify(snake_case_    ,       0    ,       snake_case_  )
  return unsorted


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










# 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

from ..utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_torch_available,
)


UpperCamelCase__			=    {
    "agents": ["Agent", "AzureOpenAiAgent", "HfAgent", "LocalAgent", "OpenAiAgent"],
    "base": ["PipelineTool", "RemoteTool", "Tool", "launch_gradio_demo", "load_tool"],
}

try:
			if not is_torch_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			UpperCamelCase__			=    ["DocumentQuestionAnsweringTool"]
			UpperCamelCase__			=    ["ImageCaptioningTool"]
			UpperCamelCase__			=    ["ImageQuestionAnsweringTool"]
			UpperCamelCase__			=    ["ImageSegmentationTool"]
			UpperCamelCase__			=    ["SpeechToTextTool"]
			UpperCamelCase__			=    ["TextClassificationTool"]
			UpperCamelCase__			=    ["TextQuestionAnsweringTool"]
			UpperCamelCase__			=    ["TextSummarizationTool"]
			UpperCamelCase__			=    ["TextToSpeechTool"]
			UpperCamelCase__			=    ["TranslationTool"]

if TYPE_CHECKING:
			from .agents import Agent, AzureOpenAiAgent, HfAgent, LocalAgent, OpenAiAgent
			from .base import PipelineTool, RemoteTool, Tool, launch_gradio_demo, load_tool

			try:
						if not is_torch_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .document_question_answering import DocumentQuestionAnsweringTool
						from .image_captioning import ImageCaptioningTool
						from .image_question_answering import ImageQuestionAnsweringTool
						from .image_segmentation import ImageSegmentationTool
						from .speech_to_text import SpeechToTextTool
						from .text_classification import TextClassificationTool
						from .text_question_answering import TextQuestionAnsweringTool
						from .text_summarization import TextSummarizationTool
						from .text_to_speech import TextToSpeechTool
						from .translation import TranslationTool
else:
			import sys

			UpperCamelCase__			=    _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)





