Given an integer n, return an array ans of length n + 1 such that for each i (0 <= i <= n), ans[i] is the number of 1's in the binary representation of i.
Example 1:
Input: n = 2 Output: [0,1,1] Explanation: 0 --> 0 1 --> 1 2 --> 10
Example 2:
Input: n = 5 Output: [0,1,1,2,1,2] Explanation: 0 --> 0 1 --> 1 2 --> 10 3 --> 11 4 --> 100 5 --> 101
Constraints:
0 <= n <= 105
Follow up:
- It is very easy to come up with a solution with a runtime of
O(n log n). Can you do it in linear timeO(n)and possibly in a single pass? - Can you do it without using any built-in function (i.e., like
__builtin_popcountin C++)?
给你一个整数 n ,对于 0 <= i <= n 中的每个 i ,计算其二进制表示中 1 的个数 ,返回一个长度为 n + 1 的数组 ans 作为答案。
示例 1:
输入:n = 2 输出:[0,1,1] 解释: 0 --> 0 1 --> 1 2 --> 10
示例 2:
输入:n = 5 输出:[0,1,1,2,1,2] 解释: 0 --> 0 1 --> 1 2 --> 10 3 --> 11 4 --> 100 5 --> 101
提示:
0 <= n <= 105
进阶:
- 很容易就能实现时间复杂度为
O(n log n)的解决方案,你可以在线性时间复杂度O(n)内用一趟扫描解决此问题吗? - 你能不使用任何内置函数解决此问题吗?(如,C++ 中的
__builtin_popcount)
| Language | Runtime | Memory | Submission Time |
|---|---|---|---|
| typescript | 80 ms | 48.2 MB | 2023/04/09 15:26 |
function countBits(n: number): number[] {
const ans = new Array(n + 1).fill(0);
for (let i = 0; i <= n; i++) {
let temp = i;
let counter = 0;
while (temp !== 0) {
counter += temp & 1;
temp = temp >> 1;
}
ans[i] = counter;
}
return ans;
};计算一个数用二进制表示的1 的个数,只需要对每一位与1相与即可。
function countBits(n: number): number[] {
const ans = new Array(n + 1).fill(0);
for (let i = 0; i <= n; i++) {
let temp = i;
let counter = 0;
while (temp !== 0) {
counter += temp & 1;
temp = temp >> 1;
}
ans[i] = counter;
}
return ans;
};