





'''simple docstring'''



from __future__ import annotations

from random import choice




def    _lowerCAmelCase						(				lowerCamelCase_			:  str				):
			return choice(lowerCamelCase_				)




def    _lowerCAmelCase						(				lowerCamelCase_			:  list[int]		,       lowerCamelCase_			:  int				):
			__lowercase										=							random_pivot(lowerCamelCase_				)

			# partition based on pivot
			# linear time
			__lowercase										=							[e for e in lst if e < pivot]
			__lowercase										=							[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(lowerCamelCase_				) == k - 1:
						return pivot
			# pivot is in elements bigger than k
			elif len(lowerCamelCase_				) < k - 1:
						return kth_number(lowerCamelCase_		,       k - len(lowerCamelCase_				) - 1				)
			# pivot is in elements smaller than k
			else:
						return kth_number(lowerCamelCase_		,       lowerCamelCase_				)


if __name__ == "__main__":
	import doctest

	doctest.testmod()












'''simple docstring'''



from typing import TYPE_CHECKING

from ....utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


_SCREAMING_SNAKE_CASE					=    {'''configuration_van''': ['''VAN_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''VanConfig''']}


try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	_SCREAMING_SNAKE_CASE					=    [
	    '''VAN_PRETRAINED_MODEL_ARCHIVE_LIST''',
	    '''VanForImageClassification''',
	    '''VanModel''',
	    '''VanPreTrainedModel''',
	]

if TYPE_CHECKING:
	from .configuration_van import VAN_PRETRAINED_CONFIG_ARCHIVE_MAP, VanConfig

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_van import (
		    VAN_PRETRAINED_MODEL_ARCHIVE_LIST,
		    VanForImageClassification,
		    VanModel,
		    VanPreTrainedModel,
		)

else:
	import sys

	_SCREAMING_SNAKE_CASE					=    _LazyModule(__name__, globals()['''__file__'''], _import_structure)





