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Leetcode #1835: Find XOR Sum of All Pairs Bitwise AND

In this guide, we solve Leetcode #1835 Find XOR Sum of All Pairs Bitwise AND in Python and focus on the core idea that makes the solution efficient.

You will see the intuition, the step-by-step method, and a clean Python implementation you can use in interviews.

Leetcode

Problem Statement

The XOR sum of a list is the bitwise XOR of all its elements. If the list only contains one element, then its XOR sum will be equal to this element.

Quick Facts

  • Difficulty: Hard
  • Premium: No
  • Tags: Bit Manipulation, Array, Math

Intuition

The problem structure lets us track state with bitwise operations.

Bit operations are constant time and avoid extra memory.

Approach

Apply XOR/AND/OR and shifts to maintain the required invariant.

Aggregate the result in a single pass.

Steps:

  • Identify a bitwise invariant.
  • Combine values with bit operations.
  • Return the aggregated result.

Example

Input: arr1 = [1,2,3], arr2 = [6,5] Output: 0 Explanation: The list = [1 AND 6, 1 AND 5, 2 AND 6, 2 AND 5, 3 AND 6, 3 AND 5] = [0,1,2,0,2,1]. The XOR sum = 0 XOR 1 XOR 2 XOR 0 XOR 2 XOR 1 = 0.

Python Solution

class Solution: def getXORSum(self, arr1: List[int], arr2: List[int]) -> int: a = reduce(xor, arr1) b = reduce(xor, arr2) return a & b

Complexity

The time complexity is O(n+m)O(n + m)O(n+m), where nnn and mmm are the lengths of arrays arr1arr1arr1 and arr2arr2arr2, respectively. The space complexity is O(1)O(1)O(1).

Edge Cases and Pitfalls

Watch for boundary values, empty inputs, and duplicate values where applicable. If the problem involves ordering or constraints, confirm the invariant is preserved at every step.

Summary

This Python solution focuses on the essential structure of the problem and keeps the implementation interview-friendly while meeting the constraints.


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