





from __future__ import annotations

from random import choice







def       A__							(   SCREAMING_SNAKE_CASE__)       ->   Optional[Any]:
		return choice(UpperCAmelCase_)







def       A__							(   SCREAMING_SNAKE_CASE__ , SCREAMING_SNAKE_CASE__)       ->   int:
		__snake_case:						Optional[int]			  =						random_pivot(UpperCAmelCase_)

		# partition based on pivot
		# linear time
		__snake_case:						List[Any]			  =						[e for e in lst if e < pivot]
		__snake_case:						Any			  =						[e for e in lst if e > pivot]

		# if we get lucky, pivot might be the element we want.
		# we can easily see this:
		# small (elements smaller than k)
		# + pivot (kth element)
		# + big (elements larger than k)
		if len(UpperCAmelCase_) == k - 1:
				return pivot
		# pivot is in elements bigger than k
		elif len(UpperCAmelCase_) < k - 1:
				return kth_number(UpperCAmelCase_ , k - len(UpperCAmelCase_) - 1)
		# pivot is in elements smaller than k
		else:
				return kth_number(UpperCAmelCase_ , UpperCAmelCase_)


if __name__ == "__main__":
						import doctest

						doctest.testmod()













import warnings

from diffusers import StableDiffusionImgaImgPipeline  # noqa F401


warnings.warn(
    "The `image_to_image.py` script is outdated. Please use directly `from diffusers import"
    " StableDiffusionImg2ImgPipeline` instead."
)






