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hello-algo/en/codes/python/chapter_backtracking/subset_sum_i.py

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"""
File: subset_sum_i.py
Created Time: 2023-06-17
Author: krahets (krahets@163.com)
"""
def backtrack(
state: list[int], target: int, choices: list[int], start: int, res: list[list[int]]
):
"""Backtracking algorithm: Subset Sum I"""
# When the subset sum equals target, record the solution
if target == 0:
res.append(list(state))
return
# Traverse all choices
# Pruning two: start traversing from start to avoid generating duplicate subsets
for i in range(start, len(choices)):
# Pruning one: if the subset sum exceeds target, end the loop immediately
# This is because the array is sorted, and later elements are larger, so the subset sum will definitely exceed target
if target - choices[i] < 0:
break
# Attempt: make a choice, update target, start
state.append(choices[i])
# Proceed to the next round of selection
backtrack(state, target - choices[i], choices, i, res)
# Retract: undo the choice, restore to the previous state
state.pop()
def subset_sum_i(nums: list[int], target: int) -> list[list[int]]:
"""Solve Subset Sum I"""
state = [] # State (subset)
nums.sort() # Sort nums
start = 0 # Start point for traversal
res = [] # Result list (subset list)
backtrack(state, target, nums, start, res)
return res
"""Driver Code"""
if __name__ == "__main__":
nums = [3, 4, 5]
target = 9
res = subset_sum_i(nums, target)
print(f"Input array nums = {nums}, target = {target}")
print(f"All subsets equal to {target} res = {res}")