

import copy
from dataclasses import dataclass, field
from typing import ClassVar, Dict

from ..features import ClassLabel, Features, Image
from .base import TaskTemplate

@dataclass(frozen=UpperCAmelCase			)
class 			a					(		UpperCAmelCase			):
						_lowercase        =     field(default="image-classification"							,	metadata={"include_in_asdict_even_if_is_default": True}			)
						_lowercase        =     Features({"image": Image()}			)
						_lowercase        =     Features({"labels": ClassLabel}			)
						_lowercase        =     "image"
						_lowercase        =     "labels"


						def     _UpperCAmelCase			(    self  ,   A_		):







										'''simple docstring'''


										if self.label_column not in features:
														raise ValueError(f'Column {self.label_column} is not present in features.'		)
										if not isinstance(features[self.label_column]  ,   A_		):
														raise ValueError(f'Column {self.label_column} is not a ClassLabel.'		)
										_UpperCAmelCase    :						Optional[int]							=      copy.deepcopy(self		)
										_UpperCAmelCase    :						Union[str, Any]							=      self.label_schema.copy()
										_UpperCAmelCase    :						Union[str, Any]							=      features[self.label_column]
										_UpperCAmelCase    :						Union[str, Any]							=      label_schema
										return task_template





						@property
						def     _UpperCAmelCase			(    self		):







										'''simple docstring'''


										return {
										    self.image_column: "image",
										    self.label_column: "labels",
										}





from __future__ import annotations

from random import choice

def 							__SCREAMING_SNAKE_CASE							(			lowerCAmelCase:					Any	)				->    Optional[int]:
				return choice(lowerCAmelCase	)

def 							__SCREAMING_SNAKE_CASE							(			lowerCAmelCase:					list[int]					, lowerCAmelCase:					int	)				->    int:
				_UpperCAmelCase    :						List[Any]							=      random_pivot(lowerCAmelCase	)

				# partition based on pivot
				# linear time
				_UpperCAmelCase    :						List[str]							=      [e for e in lst if e < pivot]
				_UpperCAmelCase    :						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(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()


