Sum of All Subset XOR Totals — LeetCode 1863 Python Solution
- Problem
- #1863
- Pattern
- Backtracking
- Reading time
- 2 min
- Source
- leetcode.com
The problem
The XOR total of an array is defined as the bitwise XOR of all its elements, or 0 if the array is empty. For example, the XOR total of the array [2,5,6] is 2 XOR 5 XOR 6 = 1.
Example
- Input
- nums = [1,3]
- Output
- 6
- Explanation
- The 4 subsets of [1,3] are:
Python solution
class Solution:
def subsetXORSum(self, nums: List[int]) -> int:
ans, n = 0, len(nums)
for i in range(1 << n):
s = 0
for j in range(n):
if i >> j & 1:
s ^= nums[j]
ans += s
return ansComplexity
| Measure | Complexity |
|---|---|
| Time | O(n \times 2^n), where n is the length of the array nums |
| Space | O(1) auxiliary |
Pattern: Backtracking
Build candidates one choice at a time and abandon a branch the moment it cannot work. LeetCode 1863. Sum of All Subset XOR Totals is filed here on both counts: the reference solution below belongs to the algorithm family this hub collects, and LeetCode tags it Backtracking.
The backtracking guide has the Python template for the pattern and the 105 LeetCode problems that use it.
Related problems
Frequently asked questions
- How hard is LeetCode 1863. Sum of All Subset XOR Totals?
- LeetCode 1863. Sum of All Subset XOR Totals is rated Easy on LeetCode.
- What is the time complexity of LeetCode 1863. Sum of All Subset XOR Totals?
- The Python solution on this page runs in O(n \times 2^n), where n is the length of the array nums.
- What is the space complexity of LeetCode 1863. Sum of All Subset XOR Totals?
- The Python solution on this page uses O(1) auxiliary space.
- What topics does LeetCode 1863. Sum of All Subset XOR Totals cover?
- LeetCode 1863. Sum of All Subset XOR Totals is tagged Bit Manipulation, Array, Math, Backtracking, Combinatorics and Enumeration on LeetCode.