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* Add the intial translation of code of all the languages * test * revert * Remove * Add Python and Java code for EN version
50 lines
1.5 KiB
Python
50 lines
1.5 KiB
Python
"""
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File: subset_sum_i_naive.py
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Created Time: 2023-06-17
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Author: krahets (krahets@163.com)
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"""
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def backtrack(
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state: list[int],
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target: int,
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total: int,
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choices: list[int],
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res: list[list[int]],
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):
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"""Backtracking algorithm: Subset Sum I"""
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# When the subset sum equals target, record the solution
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if total == target:
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res.append(list(state))
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return
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# Traverse all choices
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for i in range(len(choices)):
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# Pruning: if the subset sum exceeds target, skip that choice
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if total + choices[i] > target:
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continue
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# Attempt: make a choice, update elements and total
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state.append(choices[i])
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# Proceed to the next round of selection
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backtrack(state, target, total + choices[i], choices, res)
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# Retract: undo the choice, restore to the previous state
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state.pop()
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def subset_sum_i_naive(nums: list[int], target: int) -> list[list[int]]:
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"""Solve Subset Sum I (including duplicate subsets)"""
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state = [] # State (subset)
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total = 0 # Subset sum
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res = [] # Result list (subset list)
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backtrack(state, target, total, nums, res)
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return res
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"""Driver Code"""
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if __name__ == "__main__":
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nums = [3, 4, 5]
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target = 9
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res = subset_sum_i_naive(nums, target)
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print(f"Input array nums = {nums}, target = {target}")
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print(f"All subsets equal to {target} res = {res}")
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print(f"Please note that the result of this method includes duplicate sets")
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