
'''simple docstring'''





from __future__ import annotations

from random import randrange

def   A			(							A_				:       list							):
						if len(A_							) < 2:
												return collection
						snake_case							:  str			=     randrange(len(A_							)							)  # Use random element as pivot
						snake_case							:  Union[str, Any]			=     collection[pivot_index]
						snake_case							:  list[int]			=     []  # All elements greater than pivot
						snake_case							:  list[int]			=     []  # All elements less than or equal to pivot

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

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

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


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


"""simple docstring"""


from ..utils import DummyObject, requires_backends
class   UpperCAmelCase_	(				metaclass=lowercase__   ):
    snake_case_											=      ["""torch""", """transformers""", """k_diffusion"""]
    def __init__(	self			:       Optional[Any]   ,						*_lowercase			:       Optional[int]   ,						**_lowercase			:       List[str]		)						->    Dict:
       requires_backends(self   ,						["torch", "transformers", "k_diffusion"]		)
    @classmethod
    def 		_lowerCamelCase      (	cls			:       Union[str, Any]   ,						*_lowercase			:       Any   ,						**_lowercase			:       List[Any]		)						->    str:
       requires_backends(cls   ,						["torch", "transformers", "k_diffusion"]		)




    @classmethod
    def 		_lowerCamelCase      (	cls			:       Optional[Any]   ,						*_lowercase			:       List[Any]   ,						**_lowercase			:       Any		)						->    Any:
       requires_backends(cls   ,						["torch", "transformers", "k_diffusion"]		)