
def   UpperCamelCase__     (    SCREAMING_SNAKE_CASE_  :  list		,      SCREAMING_SNAKE_CASE_  :  list		,      SCREAMING_SNAKE_CASE_  :  list		,      SCREAMING_SNAKE_CASE_  :  int		,      SCREAMING_SNAKE_CASE_  :  int					)     ->    None:
						if target == 0:
												answer.append(path.copy()					)
						else:
												for index in range(SCREAMING_SNAKE_CASE_		,      len(SCREAMING_SNAKE_CASE_					)					):
																		if target >= candidates[index]:
																								path.append(candidates[index]					)
																								backtrack(SCREAMING_SNAKE_CASE_		,      SCREAMING_SNAKE_CASE_		,      SCREAMING_SNAKE_CASE_		,      target - candidates[index]		,      SCREAMING_SNAKE_CASE_					)
																								path.pop(len(SCREAMING_SNAKE_CASE_					) - 1					)




def   UpperCamelCase__     (    SCREAMING_SNAKE_CASE_  :  list		,      SCREAMING_SNAKE_CASE_  :  int					)     ->    list:
						_lowercase									=				[]  # type: list[int]
						_lowercase									=				[]  # type: list[int]
						backtrack(SCREAMING_SNAKE_CASE_		,      SCREAMING_SNAKE_CASE_		,      SCREAMING_SNAKE_CASE_		,      SCREAMING_SNAKE_CASE_		,      0					)
						return answer




def   UpperCamelCase__     (    )     ->    None:
						print(combination_sum([-8, 2.3, 0]		,      1					)					)


if __name__ == "__main__":
		import doctest

		doctest.testmod()
		main()

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

from ..features import Features


A		:   Optional[int]         =    TypeVar('''T''', bound='''TaskTemplate''')



@dataclass(frozen=_a						)
class       a_   ( abc.ABC						):
			# `task` is not a ClassVar since we want it to be part of the `asdict` output for JSON serialization
			a  : str
			a  : ClassVar[Features]
			a  : ClassVar[Features]






			def       UpperCamelCase_							(			self							, __UpperCamelCase     ):
									return copy.deepcopy(self     )






			@property
			def       UpperCamelCase_							(			self     ):
									return Features(**self.input_schema							, **self.label_schema     )






			@property
			@abc.abstractmethod
			def       UpperCamelCase_							(			self     ):
									raise NotImplementedError






			@classmethod
			def       UpperCamelCase_							(			cls							, __UpperCamelCase     ):
									_lowercase									=				{f.name for f in dataclasses.fields(cls     )}
									return cls(**{k: v for k, v in template_dict.items() if k in field_names}     )