






"""simple docstring"""





import unittest

from transformers import load_tool

from .test_tools_common import ToolTesterMixin


_SCREAMING_SNAKE_CASE :    Any					   =						'''
Hugging Face was founded in 2016 by French entrepreneurs Clément Delangue, Julien Chaumond, and Thomas Wolf originally as a company that developed a chatbot app targeted at teenagers.[2] After open-sourcing the model behind the chatbot, the company pivoted to focus on being a platform for machine learning.

In March 2021, Hugging Face raised $40 million in a Series B funding round.[3]

On April 28, 2021, the company launched the BigScience Research Workshop in collaboration with several other research groups to release an open large language model.[4] In 2022, the workshop concluded with the announcement of BLOOM, a multilingual large language model with 176 billion parameters.[5]
'''






class 					a						( unittest.TestCase  ,				__snake_case		):






    def        UpperCamelCase	(	self					:							Optional[Any] )					->		int:
      lowerCamelCase_   					=						load_tool('summarization' )
      self.tool.setup()
      lowerCamelCase_   					=						load_tool('summarization'	,						remote=__SCREAMING_SNAKE_CASE )






    def        UpperCamelCase	(	self					:							int )					->		Optional[int]:
      lowerCamelCase_   					=						self.tool(__SCREAMING_SNAKE_CASE )
      self.assertEqual(
          __SCREAMING_SNAKE_CASE	,						'Hugging Face was founded in 2016 by French entrepreneurs Clément Delangue, Julien Chaumond, and Thomas Wolf. In March 2021, Hugging Face raised $40 million in a Series B funding round. On April 28, 2021, the company launched the BigScience Research Workshop in collaboration with several other research groups to release an open large language model. In 2022, the workshop concluded with the announcement of BLOOM.'	,						)






    def        UpperCamelCase	(	self					:							Tuple )					->		List[Any]:
      lowerCamelCase_   					=						self.remote_tool(__SCREAMING_SNAKE_CASE )
      self.assertEqual(
          __SCREAMING_SNAKE_CASE	,						'Hugging Face was founded in 2016 by French entrepreneurs Clément Delangue, Julien Chaumond, and Thomas Wolf. In March 2021, Hugging Face raised $40 million in a Series B funding round. On April 28, 2021, the company launched the BigScience Research Workshop in collaboration with several other research groups to release an open large language model. In 2022, the workshop concluded with the announcement of BLOOM.'	,						)






    def        UpperCamelCase	(	self					:							Any )					->		List[str]:
      lowerCamelCase_   					=						self.tool(text=__SCREAMING_SNAKE_CASE )
      self.assertEqual(
          __SCREAMING_SNAKE_CASE	,						'Hugging Face was founded in 2016 by French entrepreneurs Clément Delangue, Julien Chaumond, and Thomas Wolf. In March 2021, Hugging Face raised $40 million in a Series B funding round. On April 28, 2021, the company launched the BigScience Research Workshop in collaboration with several other research groups to release an open large language model. In 2022, the workshop concluded with the announcement of BLOOM.'	,						)






    def        UpperCamelCase	(	self					:							Union[str, Any] )					->		Tuple:
      lowerCamelCase_   					=						self.remote_tool(text=__SCREAMING_SNAKE_CASE )
      self.assertEqual(
          __SCREAMING_SNAKE_CASE	,						'Hugging Face was founded in 2016 by French entrepreneurs Clément Delangue, Julien Chaumond, and Thomas Wolf. In March 2021, Hugging Face raised $40 million in a Series B funding round. On April 28, 2021, the company launched the BigScience Research Workshop in collaboration with several other research groups to release an open large language model. In 2022, the workshop concluded with the announcement of BLOOM.'	,						)












"""simple docstring"""





from __future__ import annotations

from random import randrange







def 					lowerCamelCase__	(							_lowerCamelCase	:		list			)				->    list:
  if len(_lowerCamelCase			) < 2:
    return collection
  lowerCamelCase_   					=						randrange(len(_lowerCamelCase			)			)  # Use random element as pivot
  lowerCamelCase_   					=						collection[pivot_index]
  lowerCamelCase_   					=						[]  # All elements greater than pivot
  lowerCamelCase_   					=						[]  # All elements less than or equal to pivot

  for element in collection[:pivot_index]:
    (greater if element > pivot else lesser).append(_lowerCamelCase			)

  for element in collection[pivot_index + 1 :]:
    (greater if element > pivot else lesser).append(_lowerCamelCase			)

  return [*quick_sort(_lowerCamelCase			), pivot, *quick_sort(_lowerCamelCase			)]


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




