



'''simple docstring'''






def 				_SCREAMING_SNAKE_CASE(					snake_case_    :     list ,       snake_case_    :     int ,       snake_case_    :     int  )		->None:






							'''simple docstring'''
							if right <= left:
														return
							_lowercase							:		Tuple				=   left
							_lowercase							:		List[Any]				=   right
							_lowercase							:		Tuple				=   sorting[left]
							while i <= b:
														if sorting[i] < pivot:
																					_lowercase			, _lowercase							:		List[Any]				=   sorting[i], sorting[a]
																					a += 1
																					i += 1
														elif sorting[i] > pivot:
																					_lowercase			, _lowercase							:		Any				=   sorting[i], sorting[b]
																					b -= 1
														else:
																					i += 1
							quick_sort_apartition(snake_case_ ,       snake_case_ ,       a - 1  )
							quick_sort_apartition(snake_case_ ,       b + 1 ,       snake_case_  )





def 				_SCREAMING_SNAKE_CASE(					snake_case_    :     list ,       snake_case_    :     int ,       snake_case_    :     int  )		->None:






							'''simple docstring'''
							if left < right:
														_lowercase							:		Any				=   lomuto_partition(snake_case_ ,       snake_case_ ,       snake_case_  )
														quick_sort_lomuto_partition(snake_case_ ,       snake_case_ ,       pivot_index - 1  )
														quick_sort_lomuto_partition(snake_case_ ,       pivot_index + 1 ,       snake_case_  )





def 				_SCREAMING_SNAKE_CASE(					snake_case_    :     list ,       snake_case_    :     int ,       snake_case_    :     int  )		->int:






							'''simple docstring'''
							_lowercase							:		List[Any]				=   sorting[right]
							_lowercase							:		Any				=   left
							for i in range(snake_case_ ,       snake_case_  ):
														if sorting[i] < pivot:
																					_lowercase			, _lowercase							:		Dict				=   sorting[i], sorting[store_index]
																					store_index += 1
							_lowercase			, _lowercase							:		Union[str, Any]				=   sorting[store_index], sorting[right]
							return store_index





def 				_SCREAMING_SNAKE_CASE(					snake_case_    :     list  )		->list:






							'''simple docstring'''
							if len(snake_case_  ) <= 1:
														return sorting
							return (
							    three_way_radix_quicksort([i for i in sorting if i < sorting[0]]  )
							    + [i for i in sorting if i == sorting[0]]
							    + three_way_radix_quicksort([i for i in sorting if i > sorting[0]]  )
							)


if __name__ == "__main__":
						import doctest

						doctest.testmod(verbose=True)

						lowerCamelCase__	  =		input('Enter numbers separated by a comma:\n').strip()
						lowerCamelCase__	  =		[int(item) for item in user_input.split(',')]
						quick_sort_apartition(unsorted, 0, len(unsorted) - 1)
						print(unsorted)








'''simple docstring'''






import abc
import copy
import dataclasses
from dataclasses import dataclass
from typing import ClassVar, Dict, Type, TypeVar

from ..features import Features


lowerCamelCase__	  =		TypeVar('T', bound='TaskTemplate')

@dataclass(frozen=__A       )
class 	_lowerCAmelCase     (    abc.ABC       ):






		'''simple docstring'''
		# `task` is not a ClassVar since we want it to be part of the `asdict` output for JSON serialization
		snake_case_							= 42
		snake_case_							= 42
		snake_case_							= 42
		def 						__lowercase      (						self							:       T      ,		UpperCamelCase_							:       Features		)      ->			T:







									'''simple docstring'''





									return copy.deepcopy(self		)
		@property
		def 						__lowercase      (						self							:       int		)      ->			Features:







									'''simple docstring'''





									return Features(**self.input_schema      ,		**self.label_schema		)
		@property
		@abc.abstractmethod
		def 						__lowercase      (						self							:       List[str]		)      ->			Dict[str, str]:







									'''simple docstring'''





									raise NotImplementedError





		@classmethod
		def 						__lowercase      (						cls							:       Type[T]      ,		UpperCamelCase_							:       dict		)      ->			T:







									'''simple docstring'''





									_lowercase							:		List[str]				=   {f.name for f in dataclasses.fields(cls		)}
									return cls(**{k: v for k, v in template_dict.items() if k in field_names}		)



