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thread

Foreword​

We have seen that the previous programming is completed in a loop, but when we need to complete different tasks in time, thread programming comes in handy. This is a bit like RTOS (real-time operating system). Today we will learn how to implement multithreading through MicroPython programming.

Experiment Purpose​

Programming to implement multi-threaded tasks running simultaneously.

Experimental Explanation​

The MicroPython firmware of CanMV K230 has integrated the _thread module. We can call it directly. This module is derived from python3 and belongs to low-level thread. For details, please refer to the official website introduction:https://docs.python.org/3.5/library/_thread.html#module-thread

The programming process is as follows:

Codes​

'''
Demo Name：thread
Version： v1.0
Author：01Studio
Platform：01Studio CanMV K230
Description：Implementing multithreading through programming.
'''

import _thread #Import the _thread module
import time

#Thread Function
def func(name):
    while True:
        print("hello {}".format(name))
        time.sleep(1)

_thread.start_new_thread(func,("1",)) #Start thread1, the parameter must be a tuple
_thread.start_new_thread(func,("2",)) #Start thread2, the parameter must be a tuple

while True:
    
    time.sleep(0.01) #Prevent CPU from running full

Experimental Results​

Run the code and you can see that the serial terminal repeatedly executes two threads.

thread1

In this chapter, we learned thread programming based on MicroPython, which is actually low-level thread programming in Python3. The introduction of threads makes it easier for us to handle multitasking and greatly increases the flexibility of program writing.