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1835. Find XOR Sum of All Pairs Bitwise AND
Description
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.
- For example, the XOR sum of
[1,2,3,4]
is equal to1 XOR 2 XOR 3 XOR 4 = 4
, and the XOR sum of[3]
is equal to3
.
You are given two 0-indexed arrays arr1
and arr2
that consist only of non-negative integers.
Consider the list containing the result of arr1[i] AND arr2[j]
(bitwise AND
) for every (i, j)
pair where 0 <= i < arr1.length
and 0 <= j < arr2.length
.
Return the XOR sum of the aforementioned list.
Example 1:
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.
Example 2:
Input: arr1 = [12], arr2 = [4] Output: 4 Explanation: The list = [12 AND 4] = [4]. The XOR sum = 4.
Constraints:
1 <= arr1.length, arr2.length <= 105
0 <= arr1[i], arr2[j] <= 109
Solutions
Solution 1: Bitwise Operation
Assume that the elements of array $arr1$ are $a_1, a_2, …, a_n$, and the elements of array $arr2$ are $b_1, b_2, …, b_m$. Then, the answer to the problem is:
\[\begin{aligned} \text{ans} &= (a_1 \wedge b_1) \oplus (a_1 \wedge b_2) ... (a_1 \wedge b_m) \\ &\quad \oplus (a_2 \wedge b_1) \oplus (a_2 \wedge b_2) ... (a_2 \wedge b_m) \\ &\quad \oplus \cdots \\ &\quad \oplus (a_n \wedge b_1) \oplus (a_n \wedge b_2) ... (a_n \wedge b_m) \\ \end{aligned}\]Since in Boolean algebra, the XOR operation is addition without carry, and the AND operation is multiplication, the above formula can be simplified as:
\[\text{ans} = (a_1 \oplus a_2 \oplus \cdots \oplus a_n) \wedge (b_1 \oplus b_2 \oplus \cdots \oplus b_m)\]That is, the bitwise AND of the XOR sum of array $arr1$ and the XOR sum of array $arr2$.
The time complexity is $O(n + m)$, where $n$ and $m$ are the lengths of arrays $arr1$ and $arr2$, respectively. The space complexity is $O(1)$.
-
class Solution { public int getXORSum(int[] arr1, int[] arr2) { int a = 0, b = 0; for (int v : arr1) { a ^= v; } for (int v : arr2) { b ^= v; } return a & b; } }
-
class Solution { public: int getXORSum(vector<int>& arr1, vector<int>& arr2) { int a = accumulate(arr1.begin(), arr1.end(), 0, bit_xor<int>()); int b = accumulate(arr2.begin(), arr2.end(), 0, bit_xor<int>()); return a & b; } };
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class Solution: def getXORSum(self, arr1: List[int], arr2: List[int]) -> int: a = reduce(xor, arr1) b = reduce(xor, arr2) return a & b
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func getXORSum(arr1 []int, arr2 []int) int { var a, b int for _, v := range arr1 { a ^= v } for _, v := range arr2 { b ^= v } return a & b }
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function getXORSum(arr1: number[], arr2: number[]): number { const a = arr1.reduce((acc, x) => acc ^ x); const b = arr2.reduce((acc, x) => acc ^ x); return a & b; }