You are given an array nums
of n
integers, and a 2D integer array queries
of size q
, where queries[i] = [li, ri]
.
For each query, you must find the maximum XOR score of any subarray of nums[li..ri]
.
The XOR score of an array a
is found by repeatedly applying the following operations on a
so that only one element remains, that is the score:
a[i]
with a[i] XOR a[i + 1]
for all indices i
except the last one.a
.Return an array answer
of size q
where answer[i]
is the answer to query i
.
Example 1:
Input: nums = [2,8,4,32,16,1], queries = [[0,2],[1,4],[0,5]]
Output: [12,60,60]
Explanation:
In the first query, nums[0..2]
has 6 subarrays [2]
, [8]
, [4]
, [2, 8]
, [8, 4]
, and [2, 8, 4]
each with a respective XOR score of 2, 8, 4, 10, 12, and 6. The answer for the query is 12, the largest of all XOR scores.
In the second query, the subarray of nums[1..4]
with the largest XOR score is nums[1..4]
with a score of 60.
In the third query, the subarray of nums[0..5]
with the largest XOR score is nums[1..4]
with a score of 60.
Example 2:
Input: nums = [0,7,3,2,8,5,1], queries = [[0,3],[1,5],[2,4],[2,6],[5,6]]
Output: [7,14,11,14,5]
Explanation:
Index | nums[li..ri] | Maximum XOR Score Subarray | Maximum Subarray XOR Score |
---|---|---|---|
0 | [0, 7, 3, 2] | [7] | 7 |
1 | [7, 3, 2, 8, 5] | [7, 3, 2, 8] | 14 |
2 | [3, 2, 8] | [3, 2, 8] | 11 |
3 | [3, 2, 8, 5, 1] | [2, 8, 5, 1] | 14 |
4 | [5, 1] | [5] | 5 |
Constraints:
1 <= n == nums.length <= 2000
0 <= nums[i] <= 231 - 1
1 <= q == queries.length <= 105
queries[i].length == 2
queries[i] = [li, ri]
0 <= li <= ri <= n - 1