Write a function that takes an unsigned integer and returns the number of '1' bits it has (also known as the Hamming weight).

**Note:**

- Note that in some languages such as Java, there is no unsigned integer type. In this case, the input will be given as a signed integer type. It should not affect your implementation, as the integer's internal binary representation is the same, whether it is signed or unsigned.
- In Java, the compiler represents the signed integers using 2's complement notation. Therefore, in
**Example 3**above, the input represents the signed integer.`-3`

.

**Follow up**: If this function is called many times, how would you optimize it?

**Example 1:**

Input:n = 00000000000000000000000000001011Output:3Explanation:The input binary string00000000000000000000000000001011has a total of three '1' bits.

**Example 2:**

Input:n = 00000000000000000000000010000000Output:1Explanation:The input binary string00000000000000000000000010000000has a total of one '1' bit.

**Example 3:**

Input:n = 11111111111111111111111111111101Output:31Explanation:The input binary string11111111111111111111111111111101has a total of thirty one '1' bits.

**Constraints:**

- The input must be a
**binary string**of length`32`

```
#![allow(clippy::unreadable_literal)]
struct Solution;
impl Solution {
#[allow(non_snake_case)]
fn hammingWeight(n: u32) -> i32 {
n.count_ones() as i32
}
}
#[test]
fn test() {
let n = 0b00000000000000000000000000001011;
let res = 3;
assert_eq!(Solution::hammingWeight(n), res);
let n = 0b00000000000000000000000010000000;
let res = 1;
assert_eq!(Solution::hammingWeight(n), res);
let n = 0b11111111111111111111111111111101;
let res = 31;
assert_eq!(Solution::hammingWeight(n), res);
}
```