





'''simple docstring'''






from __future__ import annotations






def      __A						(							a_						:  Any      ,a_						:  Union[str, Any]	):
		lowerCAmelCase     :    list[list[int]]						=   []
		lowerCAmelCase     :    list[int]						=   []
		lowerCAmelCase     :    Dict						=   0
		lowerCAmelCase     :    List[str]						=   sum(__SCREAMING_SNAKE_CASE	)
		create_state_space_tree(__SCREAMING_SNAKE_CASE      ,__SCREAMING_SNAKE_CASE      ,__SCREAMING_SNAKE_CASE      ,__SCREAMING_SNAKE_CASE      ,__SCREAMING_SNAKE_CASE      ,__SCREAMING_SNAKE_CASE	)
		return result






def      __A						(							a_						:  Any      ,a_						:  Union[str, Any]      ,a_						:  List[Any]      ,a_						:  List[str]      ,a_						:  int      ,a_						:  Optional[int]      ,):






		if sum(__SCREAMING_SNAKE_CASE	) > max_sum or (remaining_nums_sum + sum(__SCREAMING_SNAKE_CASE	)) < max_sum:
				return
		if sum(__SCREAMING_SNAKE_CASE	) == max_sum:
				result.append(__SCREAMING_SNAKE_CASE	)
				return
		for index in range(__SCREAMING_SNAKE_CASE      ,len(__SCREAMING_SNAKE_CASE	)	):
				create_state_space_tree(
				    __SCREAMING_SNAKE_CASE      ,__SCREAMING_SNAKE_CASE      ,index + 1      ,[*path, nums[index]]      ,__SCREAMING_SNAKE_CASE      ,remaining_nums_sum - nums[index]      ,)
lowerCAmelCase       		=      [3, 34, 4, 12, 5, 2]
lowerCAmelCase       		=      9
lowerCAmelCase       		=      generate_sum_of_subsets_soln(nums, max_sum)

print(*result)










'''simple docstring'''






import numpy as np






def      __A						(							a_						:  np.array	):
		return 1 / (1 + np.exp(-vector	))


if __name__ == "__main__":
					import doctest

					doctest.testmod()



