How to check if a number is a power of 2

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Today I needed a simple algorithm for checking if a number is a power of 2.

The algorithm needs to be:

  1. Simple
  2. Correct for any ulong value.

I came up with this simple algorithm:

private bool IsPowerOfTwo(ulong number)
{
    if (number == 0)
        return false;

    for (ulong power = 1; power > 0; power = power << 1)
    {
        // This for loop used shifting for powers of 2, meaning
        // that the value will become 0 after the last shift
        // (from binary 1000...0000 to 0000...0000) then, the 'for'
        // loop will break out.

        if (power == number)
            return true;
        if (power > number)
            return false;
    }
    return false;
}

But then I thought: How about checking if log2 x is an exactly a round number? When I checked for 2^63+1, Math.Log() returned exactly 63 because of rounding. So I checked if 2 to the power 63 is equal to the original number and it is, because the calculation is done in doubles and not in exact numbers.

private bool IsPowerOfTwo_2(ulong number)
{
    double log = Math.Log(number, 2);
    double pow = Math.Pow(2, Math.Round(log));
    return pow == number;
}

This returned true for the given wrong value: 9223372036854775809.

Is there a better algorithm?

30 Answers

There's a simple trick for this problem:

bool IsPowerOfTwo(ulong x)
{
    return (x & (x - 1)) == 0;
}

Note, this function will report true for 0, which is not a power of 2. If you want to exclude that, here's how:

bool IsPowerOfTwo(ulong x)
{
    return (x != 0) && ((x & (x - 1)) == 0);
}

Explanation

First and foremost the bitwise binary & operator from MSDN definition:

Binary & operators are predefined for the integral types and bool. For integral types, & computes the logical bitwise AND of its operands. For bool operands, & computes the logical AND of its operands; that is, the result is true if and only if both its operands are true.

Now let's take a look at how this all plays out:

The function returns boolean (true / false) and accepts one incoming parameter of type unsigned long (x, in this case). Let us for the sake of simplicity assume that someone has passed the value 4 and called the function like so:

bool b = IsPowerOfTwo(4)

Now we replace each occurrence of x with 4:

return (4 != 0) && ((4 & (4-1)) == 0);

Well we already know that 4 != 0 evals to true, so far so good. But what about:

((4 & (4-1)) == 0)

This translates to this of course:

((4 & 3) == 0)

But what exactly is 4&3?

The binary representation of 4 is 100 and the binary representation of 3 is 011 (remember the & takes the binary representation of these numbers). So we have:

100 = 4
011 = 3

Imagine these values being stacked up much like elementary addition. The & operator says that if both values are equal to 1 then the result is 1, otherwise it is 0. So 1 & 1 = 1, 1 & 0 = 0, 0 & 0 = 0, and 0 & 1 = 0. So we do the math:

100
011
----
000

The result is simply 0. So we go back and look at what our return statement now translates to:

return (4 != 0) && ((4 & 3) == 0);

Which translates now to:

return true && (0 == 0);
return true && true;

We all know that true && true is simply true, and this shows that for our example, 4 is a power of 2.

Some sites that document and explain this and other bit twiddling hacks are:

And the grandaddy of them, the book "Hacker's Delight" by Henry Warren, Jr.:

As Sean Anderson's page explains, the expression ((x & (x - 1)) == 0) incorrectly indicates that 0 is a power of 2. He suggests to use:

(!(x & (x - 1)) && x)

to correct that problem.

After posting the question I thought of the following solution:

We need to check if exactly one of the binary digits is one. So we simply shift the number right one digit at a time, and return true if it equals 1. If at any point we come by an odd number ((number & 1) == 1), we know the result is false. This proved (using a benchmark) slightly faster than the original method for (large) true values and much faster for false or small values.

private static bool IsPowerOfTwo(ulong number)
{
    while (number != 0)
    {
        if (number == 1)
            return true;

        if ((number & 1) == 1)
            // number is an odd number and not 1 - so it's not a power of two.
            return false;

        number = number >> 1;
    }
    return false;
}

Of course, Greg's solution is much better.

It's very easy in .Net 6 now.

using System.Numerics;

bool isPow2 = BitOperations.IsPow2(64); // sets true

Here is the documentation.

There is a one liner in .NET 6

// IsPow2 evaluates whether the specified Int32 value is a power of two.
Console.WriteLine(BitOperations.IsPow2(128));            // True

Mark gravell suggested this if you have .NET Core 3, System.Runtime.Intrinsics.X86.Popcnt.PopCount

public bool IsPowerOfTwo(uint i)
{
    return Popcnt.PopCount(i) == 1
}

Single instruction, faster than (x != 0) && ((x & (x - 1)) == 0) but less portable.

in this approach , you can check if there is only 1 set bit in the integer and the integer is > 0 (c++).

bool is_pow_of_2(int n){
    int count = 0;
    for(int i = 0; i < 32; i++){
        count += (n>>i & 1);
    }
    return count == 1 && n > 0;
}

In C, I tested the i && !(i & (i - 1) trick and compared it with __builtin_popcount(i), using gcc on Linux, with the -mpopcnt flag to be sure to use the CPU's POPCNT instruction. My test program counted the # of integers between 0 and 2^31 that were a power of two.

At first I thought that i && !(i & (i - 1) was 10% faster, even though I verified that POPCNT was used in the disassembly where I used__builtin_popcount.

However, I realized that I had included an if statement, and branch prediction was probably doing better on the bit twiddling version. I removed the if and POPCNT ended up faster, as expected.

Results:

Intel(R) Core(TM) i7-4771 CPU max 3.90GHz

Timing (i & !(i & (i - 1))) trick
30

real    0m13.804s
user    0m13.799s
sys     0m0.000s

Timing POPCNT
30

real    0m11.916s
user    0m11.916s
sys     0m0.000s

AMD Ryzen Threadripper 2950X 16-Core Processor max 3.50GHz

Timing (i && !(i & (i - 1))) trick
30

real    0m13.675s
user    0m13.673s
sys 0m0.000s

Timing POPCNT
30

real    0m13.156s
user    0m13.153s
sys 0m0.000s

Note that here the Intel CPU seems slightly slower than AMD with the bit twiddling, but has a much faster POPCNT; the AMD POPCNT doesn't provide as much of a boost.

popcnt_test.c:

#include "stdio.h"

// Count # of integers that are powers of 2 up to 2^31;
int main() {
  int n;
  for (int z = 0; z < 20; z++){
      n = 0;
      for (unsigned long i = 0; i < 1<<30; i++) {
       #ifdef USE_POPCNT
        n += (__builtin_popcount(i)==1); // Was: if (__builtin_popcount(i) == 1) n++;
       #else
        n += (i && !(i & (i - 1)));  // Was: if (i && !(i & (i - 1))) n++;
       #endif
      }
  }

  printf("%d\n", n);
  return 0;
}

Run tests:

gcc popcnt_test.c -O3 -o test.exe
gcc popcnt_test.c -O3 -DUSE_POPCNT -mpopcnt -o test-popcnt.exe

echo "Timing (i && !(i & (i - 1))) trick"
time ./test.exe

echo
echo "Timing POPCNT"
time ./test-opt.exe

I see many answers are suggesting to return n && !(n & (n - 1)) but to my experience if the input values are negative it returns false values. I will share another simple approach here since we know a power of two number have only one set bit so simply we will count number of set bit this will take O(log N) time.

while (n > 0) {
    int count = 0;
    n = n & (n - 1);
    count++;
}
return count == 1;

Check this article to count no. of set bits

This is another method to do it as well

package javacore;

import java.util.Scanner;

public class Main_exercise5 {
    public static void main(String[] args) {
        // Local Declaration
        boolean ispoweroftwo = false;
        int n;
        Scanner input = new Scanner (System.in);
        System.out.println("Enter a number");
        n = input.nextInt();
        ispoweroftwo = checkNumber(n);
        System.out.println(ispoweroftwo);
    }
    
    public static boolean checkNumber(int n) {
        // Function declaration
        boolean ispoweroftwo= false;
        // if not divisible by 2, means isnotpoweroftwo
        if(n%2!=0){
            ispoweroftwo=false;
            return ispoweroftwo;
        }
        else {
            for(int power=1; power>0; power=power<<1) {
                if (power==n) {
                    return true;
                }
                else if (power>n) {
                    return false;
                }
            }
        }
        return ispoweroftwo;
    }
}

This one returns if the number is the power of two up to 64 value ( you can change it inside for loop condition ("6" is for 2^6 is 64);

const isPowerOfTwo = (number) => {
  let result = false;
  for (let i = 1; i <= 6; i++) {
    if (number === Math.pow(2, i)) {
      result = true;
    }
  }
  return result;
};

console.log(isPowerOfTwo(16));
console.log(isPowerOfTwo(10));

I've been reading the documentation for Random.nextInt(int bound) and saw this nice piece of code which checks whether the parameter is a power of 2, which says (part of the code) :

if ((bound & -bound) == bound) // ie, bouns is a power of 2   

let's test it

for (int i=0; i<=8; i++) {
  System.out.println(i+" = " + Integer.toBinaryString(i));
}

>>
0 = 0
1 = 1
2 = 10
3 = 11
4 = 100
5 = 101
6 = 110
7 = 111
8 = 1000
// the left most 0 bits where cut out of the output

for (int i=-1; i>=-8; i--) {
  System.out.println(i+" = " + Integer.toBinaryString(i));
}

>>
-1 = 11111111111111111111111111111111
-2 = 11111111111111111111111111111110
-3 = 11111111111111111111111111111101
-4 = 11111111111111111111111111111100
-5 = 11111111111111111111111111111011
-6 = 11111111111111111111111111111010
-7 = 11111111111111111111111111111001
-8 = 11111111111111111111111111111000

did you notice something ?
power 2 number have the same bits in the positive and the negative binary representation, if we do a logical AND we get the same number :)

for (int i=0; i<=8; i++) {
  System.out.println(i + " & " + (-i)+" = " + (i & (-i)));
}

>>
0 & 0 = 0
1 & -1 = 1
2 & -2 = 2
3 & -3 = 1
4 & -4 = 4
5 & -5 = 1
6 & -6 = 2
7 & -7 = 1
8 & -8 = 8

Kotlin:

fun isPowerOfTwo(n: Int): Boolean {
    return (n > 0) && (n.and(n-1) == 0)
}

or

fun isPowerOfTwo(n: Int): Boolean {
    if (n == 0) return false
    return (n and (n - 1).inv()) == n
}

inv inverts the bits in this value.


Note:
log2 solution doesn't work for large numbers, like 536870912 ->

import kotlin.math.truncate
import kotlin.math.log2

fun isPowerOfTwo(n: Int): Boolean {
    return (n > 0) && (log2(n.toDouble())) == truncate(log2(n.toDouble()))
}

There were a number of answers and posted links explaining why the n & (n-1) == 0 works for powers of 2, but I couldn't find any explanation of why it doesn't work for non-powers of 2, so I'm adding this just for completeness.

For n = 1 (2^0 = 1), 1 & 0 = 0, so we are fine.

For odd n > 1, there are at least 2 bits of 1 (left-most and right-most bits). Now n and n-1 will only differ by the right-most bit, so their &-sum will at least have a 1 on the left-most bit, so n & (n-1) != 0:

n:          1xxxx1  for odd n > 1
n-1:        1xxxx0
            ------
n & (n-1):  1xxxx0 != 0

Now for even n that is not a power of 2, we also have at least 2 bits of 1 (left-most and non-right-most). Here, n and n-1 will differ up to the right-most 1 bit, so their &-sum will also have at least a 1 on the left-most bit:

        right-most 1 bit of n
                 v
n:          1xxxx100..00 for even n
n-1:        1xxxx011..11
            ------------
n & (n-1):  1xxxx000..00 != 0
private static bool IsPowerOfTwo(ulong x)
{
    var l = Math.Log(x, 2);
    return (l == Math.Floor(l));
}
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