Description

You are given an array nums consisting of positive integers.

We call a subarray of nums nice if the bitwise AND of every pair of elements that are in different positions in the subarray is equal to 0.

Return the length of the longest nice subarray.

A subarray is a contiguous part of an array.

Note that subarrays of length 1 are always considered nice.

Example 1:

Input: nums = [1,3,8,48,10] Output: 3 Explanation: The longest nice subarray is [3,8,48]. This subarray satisfies the conditions:

  • 3 AND 8 = 0.
  • 3 AND 48 = 0.
  • 8 AND 48 = 0. It can be proven that no longer nice subarray can be obtained, so we return 3.

Example 2:

Input: nums = [3,1,5,11,13] Output: 1 Explanation: The length of the longest nice subarray is 1. Any subarray of length 1 can be chosen.

Constraints:

  • 1 <= nums.length <= 105
  • 1 <= nums[i] <= 109

Code

Time Complexity: , Space Complexity:

每兩兩 bitwise and 都為零,就代表在區間內,每個 index 的 bit 只有一個會是 1,其餘都是 0。

第一次 XOR 會將 nums[i] 的 1 bit 放上 count(用 (count & nums[j]) == 0 確認過不會有兩個 1 要 XOR 的狀況)。

第二次 XOR 就 cancel 掉原本的。

class Solution {
public:
    int longestNiceSubarray(vector<int>& nums) {
        int nice = 1;
        int j = 0;
        int count = 0;
        for(int i = 0; i < nums.size(); i++) {
            while(j < nums.size() && ((count & nums[j]) == 0)) {
                count ^= nums[j];
                j++;
            }
            nice = max(nice, j - i);
            count ^= nums[i];
        }
        return nice;
    }
};

Source