function blocks, at least a little bit, while it is running and using the CPU (for an extreme example that demonstrates why CPU blocking must be taken as seriously as other kinds of blocking, consider password password hashing functions like bcrypt, which by design use hundreds of milliseconds of CPU time, far more than a typical network or disk access). A function can be blocking in some respects and non-blocking necessary to run multiple Python processes to take full advantage of multi-CPU machines. Typically it is best to run one process per CPU. The simplest way to do this is to add reuse_port=True to your listen()

function blocks, at least a little bit, while it is running and using the CPU (for an extreme example that demonstrates why CPU blocking must be taken as seriously as other kinds of blocking, consider password functions like bcrypt [http://bcrypt.sourceforge.net/], which by design use hundreds of milliseconds of CPU time, far more than a typical network or disk access). A function can be blocking in some respects necessary to run multiple Python processes to take full advantage of multi-CPU machines. Typically it is best to run one process per CPU. The simplest way to do this is to add reuse_port=True to your listen()

也有两个原生的 浮点数（floating-point numbers）类型，它们是带小数点的数字。Rust 的浮点数类型是 f32 和 f64，分别占 32 位和 64 位。默认类型是 f64，因为在现代 CPU 中， 它与 f32 速度几乎一样，不过精度更高。所有的浮点型都是有符号的。 文件名：src/main.rs fn main() { let x = 2.0; // f64 let 视频导出会尽可能使用所有的 CPU 和 GPU。如果你只有一个 CPU 核，同时操作系统在导出 完成前也不会暂停，那么在其运行期间你无法使用计算机进行任何其他操作。这会是一个非常 糟糕的体验。相反计算机的操作系统可以（也确实可以）隐式地中断导出过程，频率足够高， 使你能够在导出进行的同时完成其他任务。 下载文件则有所不同。它不占用大量的 CPU 时间。相反 CPU 需要等待来自于网络的数据。虽 每秒可以执行数十亿次操 作。因此，如果能让 CPU 在等待网络调用完成的同时去处理别的工作就再好不过了。所以同 上操作系统会隐式地中断你的程序以便其它工作可以在网络操作进行的同时继续进行。 注意：视频导出这类操作通常被称为 “CPU 密集型”（“CPU-bound”）或者 “计算密集 型”（“compute-bound”）操作。其受限于计算机 CPU 或 GPU 处理数据的速度，以 及它所能利用