

from ..utils import DummyObject, requires_backends





class __SCREAMING_SNAKE_CASE     (	metaclass=a__		):
    SCREAMING_SNAKE_CASE__      =["transformers", "torch", "note_seq"]






    def __init__(       self,		*_a,		**_a )   ->					Any:
       requires_backends(self,		["transformers", "torch", "note_seq"] )






    @classmethod
    def 						__lowerCAmelCase    (       cls,		*_a,		**_a )   ->					Tuple:
       requires_backends(cls,		["transformers", "torch", "note_seq"] )






    @classmethod
    def 						__lowerCAmelCase    (       cls,		*_a,		**_a )   ->					Optional[int]:
       requires_backends(cls,		["transformers", "torch", "note_seq"] )





'''simple docstring'''






from __future__ import annotations

from random import choice


def    _snake_case  (	A			)		->       int:
							return choice(A			)


def    _snake_case  (	A					,       A			)		->       int:
							lowerCAmelCase__			  =      random_pivot(A			)

							# 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(A			) == k - 1:
														return pivot
							# pivot is in elements bigger than k
							elif len(A			) < k - 1:
														return kth_number(A					,       k - len(A			) - 1			)
							# pivot is in elements smaller than k
							else:
														return kth_number(A					,       A			)


if __name__ == "__main__":
		import doctest

		doctest.testmod()