众所周知python没有真正的多线程,所以我推荐更简单的协程而非多线程
import threading
from threading import Lock,Thread
import time,os
# def run(n):
# print('task',n)
# time.sleep(1)
# print('2s')
# time.sleep(1)
# print('1s')
# time.sleep(1)
# print('0s')
# time.sleep(1)
#
# if __name__ == '__main__':
# t1 = threading.Thread(target=run,args=('t1',))
# t2 = threading.Thread(target=run,args=('t2',))
# t1.start()
# t2.start()
| 方法与属性 | |
|---|---|
| setDaemon(True) | 将改线程设置为主线程的守护线程,当主线程退出时一并结束 |
| join**([time])** | 在主线程中等待子线程结束 |
| start()。 | **:**启动线程活动 |
| isAlive() | 返回线程是否活动的 |
| getName() | 返回线程名。 |
| setName() | 设置线程名。 |
threadLock = threading.Lock()
# 获取锁
threadLock.acquire()
<内存不安全代码>
# 释放锁
threadLock.release()
'''
递归锁:RLcok类的用法和Lock类一模一样,但它支持嵌套,在多个锁没有释放的时候一般会使用RLock类
'''
# def func(lock):
# global gl_num
# lock.acquire()
# gl_num += 1
# time.sleep(1)
# print(gl_num)
# lock.release()
#
#
# if __name__ == '__main__':
# gl_num = 0
# lock = threading.RLock()
# for i in range(10):
# t = threading.Thread(target=func,args=(lock,))
# t.start()
'''
信号量(BoundedSemaphore类)
互斥锁同时只允许一个线程更改数据,而Semaphore是同时允许一定数量的线程更改数据,比如厕所有3个坑,
那最多只允许3个人上厕所,后面的人只能等里面有人出来了才能再进去
'''
# def run(n,semaphore):
# semaphore.acquire() #加锁
# time.sleep(3)
# print('run the thread:%s\\n' % n)
# semaphore.release() #释放
#
#
# if __name__== '__main__':
# num=0
# semaphore = threading.BoundedSemaphore(5) #最多允许5个线程同时运行
# for i in range(22):
# t = threading.Thread(target=run,args=('t-%s' % i,semaphore))
# t.start()
# while threading.active_count() !=1:
# pass
# else:
# print('----------all threads done-----------')