[Swift]LeetCode1310. 子数组异或查询 | XOR Queries of a Subarray

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Given the array arr of positive integers and the array queries where queries[i] = [Li, Ri], for each query i compute the XOR of elements from Li to Ri (that is, arr[Li] xor arr[Li+1] xor ... xor arr[Ri] ). Return an array containing the result for the given queries.

 

Example 1:

Input: arr = [1,3,4,8], queries = [[0,1],[1,2],[0,3],[3,3]]
Output: [2,7,14,8] 
Explanation: 
The binary representation of the elements in the array are:
1 = 0001 
3 = 0011 
4 = 0100 
8 = 1000 
The XOR values for queries are:
[0,1] = 1 xor 3 = 2 
[1,2] = 3 xor 4 = 7 
[0,3] = 1 xor 3 xor 4 xor 8 = 14 
[3,3] = 8

Example 2:

Input: arr = [4,8,2,10], queries = [[2,3],[1,3],[0,0],[0,3]]
Output: [8,0,4,4]

 

Constraints:

• 1 <= arr.length <= 3 * 10^4
• 1 <= arr[i] <= 10^9
• 1 <= queries.length <= 3 * 10^4
• queries[i].length == 2
• 0 <= queries[i][0] <= queries[i][1] < arr.length

---

有一个正整数数组 arr，现给你一个对应的查询数组 queries，其中 queries[i] = [Li, Ri]。

对于每个查询 i，请你计算从 Li 到 Ri 的 XOR 值（即 arr[Li] xor arr[Li+1] xor ... xor arr[Ri]）作为本次查询的结果。

并返回一个包含给定查询 queries 所有结果的数组。

 

示例 1：

输入：arr = [1,3,4,8], queries = [[0,1],[1,2],[0,3],[3,3]]
输出：[2,7,14,8] 
解释：
数组中元素的二进制表示形式是：
1 = 0001 
3 = 0011 
4 = 0100 
8 = 1000 
查询的 XOR 值为：
[0,1] = 1 xor 3 = 2 
[1,2] = 3 xor 4 = 7 
[0,3] = 1 xor 3 xor 4 xor 8 = 14 
[3,3] = 8

示例 2：

输入：arr = [4,8,2,10], queries = [[2,3],[1,3],[0,0],[0,3]]
输出：[8,0,4,4]

 

提示：

• 1 <= arr.length <= 3 * 10^4
• 1 <= arr[i] <= 10^9
• 1 <= queries.length <= 3 * 10^4
• queries[i].length == 2
• 0 <= queries[i][0] <= queries[i][1] < arr.length

---

Runtime: 556 ms

Memory Usage: 25.7 MB

class Solution {
    func xorQueries(_ arr: [Int], _ queries: [[Int]]) -> [Int] {
        var arr = arr
        var res:[Int] = [Int](repeating:0,count:queries.count)
        var q:[Int] = [Int]()
        for i in 1..<arr.count
        {
            arr[i] ^= arr[i - 1]
        }
        for i in 0..<queries.count
        {
            q = queries[i]
            res[i] = q[0] > 0 ? arr[q[0] - 1] ^ arr[q[1]] : arr[q[1]]
        }
        return res
    }
}

---

Runtime: 540 ms

Memory Usage: 26.2 MB

 class Solution {
    func xorQueries(_ arr: [Int], _ queries: [[Int]]) -> [Int] {
        var prefix = Array<Int>(repeating: 0, count: arr.count + 1)
        for index in 0..<arr.count {
            prefix[index + 1] = prefix[index] ^ arr[index]
        }
        return queries.map {prefix[$0[0]] ^ prefix[$0[1] + 1]}
    }
 }