The subsetsum
Python module can enumerate all combinations within a list of integers which sums to a specific value. It works for both negative and positive target
sum values, as well as negative, positive, and repeating values in the list of input numbers. subsetsum
can also quickly answer whether or not there exists a subset of integers in the input list which sums to target
.
pip install subsetsum
import subsetsum
target = 0
nums = [-2, -1, 0, 1, 2]
has_solution = subsetsum.has_solution(nums, target)
print(f"Can {nums} sum to {target}? {has_solution}")
for solution in subsetsum.solutions(nums, target):
# `solution` contains indices of elements in `nums`
subset = [nums[i] for i in solution]
sum_value = sum(subset)
print(f"{subset} sums to {sum_value}")
import subsetsum
subsetsum.has_solution(nums: List[int], target: int) -> bool:
Determines if there is a subset of `nums` which sums to
`target`. If `nums` is empty, the result is always False.
Args:
nums (List[int]): A list of integers (positive or negative)
for the SUBSET-SUM problem
target (int): The target value (positive or negative) which
will be used in the SUBSET-SUM problem
Returns:
bool: True if there exists a subset of `nums` which sums to
`target`, otherwise false
subsetsum.solutions(nums: List[int], target: int) -> Iterator[List[int]]:
Enumerates all solutions to SUBSET-SUM. If `nums` is empty,
no solutions will be generated.
Args:
nums (List[int]): A list of integers (positive or negative)
from which subsets will be generated
target (int): The target value (positive or negative) for the
sum of each subset
Returns:
Iterable: An iterator over the set of solutions, where each
solution is a list of integers that index into the original
list `nums` to form a subset