import sys


def is_power2(x):
    return x > 0 and ((x & (x - 1)) == 0)


def find_nearest_power2(x):
    if x <= 0:
        raise ValueError("invalid input")
    if is_power2(x):
        return x
    else:
        bits = get_bits(x)
        upper = 1 << (bits)
        lower = 1 << (bits - 1)
        mid = (upper + lower) // 2
        if (x - mid) > 0:
            return upper
        else:
            return lower


def get_bits(x):
    """return number of bits in binary representation"""
    if x < 0:
        raise ValueError("invalid input: input should be positive integer")
    count = 0
    while (x != 0):
        try:
            x = x >> 1
        except TypeError as error:
            print(error, "input should be of type integer")
            sys.exit(1)
        count += 1
    return count

g++编译器提供了一个内置函数__builtin_clz，用于计算前导零:

所以我们可以这样做:

int nextPowerOfTwo(unsigned int x) {
  return 1 << sizeof(x)*8 - __builtin_clz(x);
}

int main () {
  std::cout << nextPowerOfTwo(7)  << std::endl;
  std::cout << nextPowerOfTwo(31) << std::endl;
  std::cout << nextPowerOfTwo(33) << std::endl;
  std::cout << nextPowerOfTwo(8)  << std::endl;
  std::cout << nextPowerOfTwo(91) << std::endl;
  
  return 0;
}

结果:

8
32
64
16
128

但请注意，对于x == 0， __builtin_clz return是未定义的。

对于IEEE浮点，你可以这样做。

int next_power_of_two(float a_F){
    int f = *(int*)&a_F;
    int b = f << 9 != 0; // If we're a power of two this is 0, otherwise this is 1

    f >>= 23; // remove factional part of floating point number
    f -= 127; // subtract 127 (the bias) from the exponent

    // adds one to the exponent if were not a power of two, 
    // then raises our new exponent to the power of two again.
    return (1 << (f + b)); 
}

如果你需要一个整数的解决方案，并且你能够使用内联汇编，BSR会在x86上给你一个整数的log2。它计算有多少位是正确的，这正好等于这个数字的log2。其他处理器(通常)有类似的指令，比如CLZ，根据你的编译器，可能有一个内在的可用指令来为你做这项工作。

将保罗·迪克森的答案应用到Excel中，效果非常好。

 =POWER(2,CEILING.MATH(LOG(A1)/LOG(2)))

这是我用来让它成为一个常数表达式的，如果输入是一个常数表达式的话。

#define uptopow2_0(v) ((v) - 1)
#define uptopow2_1(v) (uptopow2_0(v) | uptopow2_0(v) >> 1)
#define uptopow2_2(v) (uptopow2_1(v) | uptopow2_1(v) >> 2)
#define uptopow2_3(v) (uptopow2_2(v) | uptopow2_2(v) >> 4)
#define uptopow2_4(v) (uptopow2_3(v) | uptopow2_3(v) >> 8)
#define uptopow2_5(v) (uptopow2_4(v) | uptopow2_4(v) >> 16)

#define uptopow2(v) (uptopow2_5(v) + 1)  /* this is the one programmer uses */

例如，这样的表达式:

uptopow2(sizeof (struct foo))

会很好地化简为常数。

对于任何unsigned类型，构建在Bit Twiddling Hacks上:

#include <climits>
#include <type_traits>

template <typename UnsignedType>
UnsignedType round_up_to_power_of_2(UnsignedType v) {
  static_assert(std::is_unsigned<UnsignedType>::value, "Only works for unsigned types");
  v--;
  for (size_t i = 1; i < sizeof(v) * CHAR_BIT; i *= 2) //Prefer size_t "Warning comparison between signed and unsigned integer"
  {
    v |= v >> i;
  }
  return ++v;
}

这里并没有真正的循环，因为编译器在编译时知道迭代的次数。