



from __future__ import annotations

from random import choice

def      __lowercase(						UpperCAmelCase__			):


      """simple docstring"""



      return choice(UpperCAmelCase__			)

def      __lowercase(						UpperCAmelCase__ , UpperCAmelCase__			):


      """simple docstring"""



      lowerCamelCase             =		random_pivot(UpperCAmelCase__			)

      # partition based on pivot
      # linear time
      lowerCamelCase             =		[e for e in lst if e < pivot]
      lowerCamelCase             =		[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()




from ..utils import DummyObject, requires_backends





class  lowerCamelCase__	(    metaclass=UpperCAmelCase_):
     """simple docstring"""



     _A      =      ['transformers', 'torch', 'note_seq']







     def __init__(self					,      *__a					,      **__a     ):






           '''simple docstring'''



           requires_backends(self					,      ["transformers", "torch", "note_seq"]     )







     @classmethod
     def     _a   (cls					,      *__a					,      **__a     ):






           '''simple docstring'''



           requires_backends(cls					,      ["transformers", "torch", "note_seq"]     )







     @classmethod
     def     _a   (cls					,      *__a					,      **__a     ):






           '''simple docstring'''



           requires_backends(cls					,      ["transformers", "torch", "note_seq"]     )