使用 sleep() 时高效快速的 Python While 循环 [英] Efficient and fast Python While loop while using sleep()

问题描述

我正在尝试使用 Pyserial 通过串行方式与设备进行通信.由于命令需要不断发送，因此必须将它们放在 Python 中的 while 循环中.

I am attempting to communicate with a device over serial using Pyserial. As commands need to be continually sent, they have to be placed in a while loop in Python.

我目前正在使用此代码，并查看了 python 进程占用 100% CPU:

I am currently using this code, and have taken a look at python process takes 100% CPU:

while True:
    #do some serial sending here
    time.sleep(0.2)

此代码有效.但是，发送速度很慢.我试图通过减少 sleep 间隔来使其更快，但它似乎对 CPU 的负载有点过大.

This code works. However, the sending speed is slow. I tried to make it faster by decreasing the sleep interval, but it seems to load the CPU a bit too much.

简而言之，有没有什么方法可以有效地永远迭代一个 while 循环，同时仍然保持低 CPU 资源消耗?

In short, is there a any way to effectively iterate over a while loop forever, while still maintaining a low consumption of CPU resources?

推荐答案

CPU 浪费缓慢的部分是执行串行发送".只有短暂睡眠的 while 循环将使用可忽略不计的 CPU.

The slow CPU wasting part is the "do serial sending". The while loop with just a short sleep will use negligible CPU.

你能显示串口发送代码吗?可能有办法加快速度.

Can you show the serial sending code. There may be a way to speed that up.

在这个相当慢的 CPU 上，我看到了这个:

On this rather slow CPU I see this:

import time
while True: time.sleep(0.2)      # 0% CPU
while True: time.sleep(0.02)     # 0% CPU
while True: time.sleep(0.002)    # 0.5% CPU
while True: time.sleep(0.0002)   # 6% CPU
while True: time.sleep(0.00002)  # 18% CPU

现在在循环中做一些额外的工作:

Now do some extra work in the loop:

import time
while True: range(10000) and None; time.sleep(0.2)      # 1% CPU
while True: range(10000) and None; time.sleep(0.02)     # 15% CPU
while True: range(10000) and None; time.sleep(0.002)    # 60% CPU
while True: range(10000) and None; time.sleep(0.0002)   # 86% CPU

我在解释器中运行它们并用 ctrl-C 停止每个 while 循环.

I ran those in the interpreter and stopped each while loop with ctrl-C.

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