





import random






def 				SCREAMING_SNAKE_CASE__							(       UpperCamelCase__:							List[str]					,   UpperCamelCase__:							str					,   UpperCamelCase__:							str    ):
		SCREAMING_SNAKE_CASE__			=      a[left_index]
		SCREAMING_SNAKE_CASE__			=      left_index + 1
		for j in range(left_index + 1					,   UpperCamelCase__    ):
				if a[j] < pivot:
						SCREAMING_SNAKE_CASE__	,						SCREAMING_SNAKE_CASE__			=      a[i], a[j]
						i += 1
		SCREAMING_SNAKE_CASE__	,						SCREAMING_SNAKE_CASE__			=      a[i - 1], a[left_index]
		return i - 1






def 				SCREAMING_SNAKE_CASE__							(       UpperCamelCase__:							Optional[int]					,   UpperCamelCase__:							List[Any]					,   UpperCamelCase__:							str    ):
		if left < right:
				SCREAMING_SNAKE_CASE__			=      random.randint(UpperCamelCase__					,   right - 1    )
				SCREAMING_SNAKE_CASE__	,						SCREAMING_SNAKE_CASE__			=      (
				    a[left],
				    a[pivot],
				)  # switches the pivot with the left most bound
				SCREAMING_SNAKE_CASE__			=      partition(UpperCamelCase__					,   UpperCamelCase__					,   UpperCamelCase__    )
				quick_sort_random(
				    UpperCamelCase__					,   UpperCamelCase__					,   UpperCamelCase__    )  # recursive quicksort to the left of the pivot point
				quick_sort_random(
				    UpperCamelCase__					,   pivot_index + 1					,   UpperCamelCase__    )  # recursive quicksort to the right of the pivot point






def 				SCREAMING_SNAKE_CASE__							(       ):
		SCREAMING_SNAKE_CASE__			=      input("""Enter numbers separated by a comma:\n"""    ).strip()
		SCREAMING_SNAKE_CASE__			=      [int(UpperCamelCase__    ) for item in user_input.split(""","""    )]

		quick_sort_random(UpperCamelCase__					,   0					,   len(UpperCamelCase__    )    )

		print(UpperCamelCase__    )


if __name__ == "__main__":
	main()






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   UpperCamelCase_       (     UpperCamelCase__    ):
							lowerCamelCase_           =					field(default="image-classification"				,  metadata={"include_in_asdict_even_if_is_default": True}    )
							lowerCamelCase_           =					Features({"image": Image()}    )
							lowerCamelCase_           =					Features({"labels": ClassLabel}    )
							lowerCamelCase_           =					"image"
							lowerCamelCase_           =					"labels"


							def      _snake_case  (							self    :List[str]							,				__A    :Tuple		)   ->   Tuple:



									"""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.'''		)
									SCREAMING_SNAKE_CASE__			=      copy.deepcopy(self		)
									SCREAMING_SNAKE_CASE__			=      self.label_schema.copy()
									SCREAMING_SNAKE_CASE__			=      features[self.label_column]
									SCREAMING_SNAKE_CASE__			=      label_schema
									return task_template


							@property
							def      _snake_case  (							self    :Dict		)   ->   Dict[str, str]:



									"""simple docstring"""



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