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简单 |
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给定一个正整数 n
,编写一个函数,获取一个正整数的二进制形式并返回其二进制表达式中 设置位 的个数(也被称为汉明重量)。
示例 1:
输入:n = 11
输出:3
解释:输入的二进制串 1011 中,共有 3 个设置位。
示例 2:
输入:n = 128 输出:1 解释:输入的二进制串 10000000 中,共有 1 个设置位。
示例 3:
输入:n = 2147483645 输出:30 解释:输入的二进制串 1111111111111111111111111111101 中,共有 30 个设置位。
提示:
1 <= n <= 231 - 1
进阶:
- 如果多次调用这个函数,你将如何优化你的算法?
利用 n & (n - 1)
消除 n
中最后一位 1 这一特点,优化过程:
HAMMING-WEIGHT(n)
r = 0
while n != 0
n &= n - 1
r += 1
r
以 5 为例,演示推演过程:
[0, 1, 0, 1] // 5
[0, 1, 0, 0] // 5 - 1 = 4
[0, 1, 0, 0] // 5 & 4 = 4
[0, 1, 0, 0] // 4
[0, 0, 1, 1] // 4 - 1 = 3
[0, 0, 0, 0] // 4 & 3 = 0
class Solution:
def hammingWeight(self, n: int) -> int:
ans = 0
while n:
n &= n - 1
ans += 1
return ans
public class Solution {
// you need to treat n as an unsigned value
public int hammingWeight(int n) {
int ans = 0;
while (n != 0) {
n &= n - 1;
++ans;
}
return ans;
}
}
class Solution {
public:
int hammingWeight(uint32_t n) {
int ans = 0;
while (n) {
n &= n - 1;
++ans;
}
return ans;
}
};
func hammingWeight(num uint32) int {
ans := 0
for num != 0 {
num &= num - 1
ans++
}
return ans
}
function hammingWeight(n: number): number {
let ans: number = 0;
while (n !== 0) {
ans++;
n &= n - 1;
}
return ans;
}
impl Solution {
pub fn hammingWeight(n: u32) -> i32 {
n.count_ones() as i32
}
}
/**
* @param {number} n - a positive integer
* @return {number}
*/
var hammingWeight = function (n) {
let ans = 0;
while (n) {
n &= n - 1;
++ans;
}
return ans;
};
int hammingWeight(uint32_t n) {
int ans = 0;
while (n) {
n &= n - 1;
ans++;
}
return ans;
}
class Solution {
fun hammingWeight(n: Int): Int {
var count = 0
var num = n
while (num != 0) {
num = num and (num - 1)
count++
}
return count
}
}
x -= (x & -x)
可以消除二进制形式的最后一位 1。
class Solution:
def hammingWeight(self, n: int) -> int:
ans = 0
while n:
n -= n & -n
ans += 1
return ans
public class Solution {
// you need to treat n as an unsigned value
public int hammingWeight(int n) {
int ans = 0;
while (n != 0) {
n -= (n & -n);
++ans;
}
return ans;
}
}
class Solution {
public:
int hammingWeight(uint32_t n) {
int ans = 0;
while (n) {
n -= (n & -n);
++ans;
}
return ans;
}
};
func hammingWeight(num uint32) int {
ans := 0
for num != 0 {
num -= (num & -num)
ans++
}
return ans
}
function hammingWeight(n: number): number {
let count = 0;
while (n) {
n -= n & -n;
count++;
}
return count;
}
impl Solution {
pub fn hammingWeight(mut n: u32) -> i32 {
let mut res = 0;
while n != 0 {
n &= n - 1;
res += 1;
}
res
}
}
/**
* @param {number} n
* @return {number}
*/
var hammingWeight = function (n) {
let count = 0;
while (n) {
n -= n & -n;
count++;
}
return count;
};
class Solution {
fun hammingWeight(n: Int): Int {
var count = 0
var num = n
while (num != 0) {
num -= num and (-num)
count++
}
return count
}
}