我不认为这是按位计算的，但是ruby的Array通过普通整数按位操作符定义了集合操作。因此[1,2,4]&[1,2,3]# =>[1,2]。对于a ^ b# =>集差值和| b# =>并集也是如此。

它们主要用于位操作(惊喜)。下面是在PHP代码库中找到的一些实际示例。

字符编码:

if (s <= 0 && (c & ~MBFL_WCSPLANE_MASK) == MBFL_WCSPLANE_KOI8R) {

数据结构:

ar_flags = other->ar_flags & ~SPL_ARRAY_INT_MASK;

数据库驱动程序:

dbh->transaction_flags &= ~(PDO_TRANS_ACCESS_MODE^PDO_TRANS_READONLY);

编译器实现:

opline->extended_value = (opline->extended_value & ~ZEND_FETCH_CLASS_MASK) | ZEND_FETCH_CLASS_INTERFACE;

Bit fields (flags) They're the most efficient way of representing something whose state is defined by several "yes or no" properties. ACLs are a good example; if you have let's say 4 discrete permissions (read, write, execute, change policy), it's better to store this in 1 byte rather than waste 4. These can be mapped to enumeration types in many languages for added convenience. Communication over ports/sockets Always involves checksums, parity, stop bits, flow control algorithms, and so on, which usually depend on the logic values of individual bytes as opposed to numeric values, since the medium may only be capable of transmitting one bit at a time. Compression, Encryption Both of these are heavily dependent on bitwise algorithms. Look at the deflate algorithm for an example - everything is in bits, not bytes. Finite State Machines I'm speaking primarily of the kind embedded in some piece of hardware, although they can be found in software too. These are combinatorial in nature - they might literally be getting "compiled" down to a bunch of logic gates, so they have to be expressed as AND, OR, NOT, etc. Graphics There's hardly enough space here to get into every area where these operators are used in graphics programming. XOR (or ^) is particularly interesting here because applying the same input a second time will undo the first. Older GUIs used to rely on this for selection highlighting and other overlays, in order to eliminate the need for costly redraws. They're still useful in slow graphics protocols (i.e. remote desktop).

这些只是我最先想到的几个例子——这不是一个详尽的清单。

如果你想计算你的数字mod(%) 2的某次方，你可以使用yourNumber & 2^N-1，在这种情况下，它与yourNumber % 2^N相同。

number % 16 = number & 15;
number % 128 = number & 127;

这可能只是作为模数运算的一种替代品有用，它的红利很大，是2^N。但即便如此，在我在。net 2.0上的测试中，它相对于模运算的速度提升也可以忽略不计。我怀疑现代编译器已经执行了这样的优化。有人知道更多吗?

一个数x是2的幂吗?(例如，在计数器递增的算法中很有用，并且一个操作只执行对数次)

(x & (x - 1)) == 0

整数x的最高位是哪位?(例如，这可以用来找出比x大的2的最小次幂)

x |= (x >>  1);
x |= (x >>  2);
x |= (x >>  4);
x |= (x >>  8);
x |= (x >> 16);
return x - (x >>> 1); // ">>>" is unsigned right shift

整数x的最小1位是哪一位?(帮助找出能被2整除的次数。)

x & -x

我不认为这是按位计算的，但是ruby的Array通过普通整数按位操作符定义了集合操作。因此[1,2,4]&[1,2,3]# =>[1,2]。对于a ^ b# =>集差值和| b# =>并集也是如此。