Problem
Reverse bits of a given 32 bits unsigned integer.
Note:
- Note that in some languages, such as Java, there is no unsigned integer type. In this case, both input and output will be given as a signed integer type. They 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 2 above, the input represents the signed integer
-3
and the output represents the signed integer-1073741825
.
Examples
Example 1:
Input: n = 00000010100101000001111010011100
Output: 964176192 (00111001011110000010100101000000)
Explanation: The input binary string **00000010100101000001111010011100** represents the unsigned integer 43261596, so return 964176192 which its binary representation is **00111001011110000010100101000000**.
Example 2:
Input: n = 11111111111111111111111111111101
Output: 3221225471 (10111111111111111111111111111111)
Explanation: The input binary string **11111111111111111111111111111101** represents the unsigned integer 4294967293, so return 3221225471 which its binary representation is **10111111111111111111111111111111**.
Follow up
If this function is called many times, how would you optimize it?
Related Problem
Solution
Method 1 - Left and Right Shifts
To reverse the bits of a 32-bit unsigned integer:
- Initialise the result as 0.
- Iterate 32 times (once for each bit in the integer).
- In each iteration, shift the result to the left by 1 bit to make room for the next bit.
- Get the least significant bit (LSB) of the input and add it to the result.
- Shift the input to the right by 1 bit to process the next bit.
- Return the result after processing all 32 bits.
Code
Java
public class Solution {
public int reverseBits(int n) {
int ans = 0;
for (int i = 0; i < 32; i++) {
ans <<= 1;
ans |= (n & 1);
n >>= 1;
}
return ans;
}
}
Python
class Solution:
def reverseBits(self, n: int) -> int:
ans: int = 0
for _ in range(32):
ans = (ans << 1) | (n & 1)
n >>= 1
return ans
Complexity
- ⏰ Time complexity:
O(1)
because the number of operations is constant and does not depend on the input size. - 🧺 Space complexity:
O(1)
as only a fixed amount of extra space is used.
Method 2
Code
Java
public class Solution {
public int reverseBits(int n) {
int ans = 0;
for (int i = 0; i < 32; i++) {
int bit = (n >> i) & 1;
ans |= (bit << (31 - i));
}
return ans;
}
}
Python