进程，线程

import os, time

if __name__ == '__main__':
    print('the calling process id:%d' % os.getpid())
    # 创建进程
    pid = os.fork()
    if pid == 0:
        # 子进程
        print('the child pid is %d' % os.getpid())
        time.sleep(3)
    elif pid > 0:
        # 父进程
        os.wait() # 等待子进程终止
        print('[%d]bye-bye' % os.getpid())

import os, sys

if __name__ == '__main__':
    while True:
        cmd = input('[root@localhost xxxx]# ')
        if cmd == 'quit' or cmd == 'exit':
            # 终止进程
            sys.exit(0) # os._exit()
        # 'ls -l'
        cmdls = cmd.split()
        pid = os.fork()
        if pid == 0:
            # child  替换调用进程
            os.execlp(cmdls[0], *cmdls)
        # parent
        os.wait()

from multiprocessing import Process
import time

n = 100


def pro_test(arg):
    print('running argument is %s' % arg)
    global n
    n += 1
    print('n的地址:{}, n:{}'.format(id(n), n))
    time.sleep(1)


def pro2_test():
    global n
    print('n的地址:{}, n:{}'.format(id(n), n))
    print('n:%d' % n)
    print('''process 2......''')

# 进程的构建方式二
class Myprocess(Process):
    def __init__(self, args):
        super().__init__()
        self.args = args

    def run(self):
        print('hello world with %s' % self.args)


if __name__ == '__main__':
    pro = Process(target=pro_test, args=('python',))
    # 运行
    pro.start()
    # 收尸
    pro.join()
    print(pro.name, pro.pid)

    pro2 = Process()
    pro2.run = pro2_test
    pro2.start() # 启动进程， 并调用run方法
    pro2.join()
    print(pro2.name, pro2.pid)

    pro3 = Myprocess('the argument of the process')
    pro3.start()
    pro3.join()

两个进程全局变量是独立的：

from multiprocessing import Process, Pipe
import time

# 发送
def pro1(args):
    for i in range(10):
        # 向管道发送数据
        args.send(i)
        time.sleep(1)
    args.close()


def pro2(args):
    while True:
        # 从管道接收数据
        r = args.recv()
        print('from pro1:%d' % r)


if __name__ == '__main__':
    # 管道的创建，得到管道的两端
    conn1, conn2 = Pipe()

    obj1 = Process(target=pro1, args=(conn1,))
    obj2 = Process(target=pro2, args=(conn2,))

    obj1.start()
    obj2.start()

    obj1.join()
    obj2.join()

from multiprocessing import Process, Queue
import time

# 发送
def pro1(que):
    for i in range(10):
        # 向队列中写入
        que.put(i)
        time.sleep(2)


def pro2(que):
    while True:
        print('from que get:{}'.format(que.get()))


if __name__ == '__main__':
    # 创建队列
    q = Queue()

    obj1 = Process(target=pro1, args=(q,))
    obj2 = Process(target=pro2, args=(q,))

    obj1.start()
    obj2.start()

    obj1.join()
    obj2.join()

 

from multiprocessing import Pool
import time

def pro_job(s):
    print('the %d process is running' % s)
    time.sleep(2)


if __name__ == '__main__':
    # 创建进程池
    pool = Pool(2)

    for i in range(5):
        # 异步添加进程
        pool.apply_async(func=pro_job, args=(i, ))

    # 不允许向进程池中添加新的进程
    pool.close()
    # 收尸
    pool.join()

 

from multiprocessing import Process
import time


def job():
    while True:
        print('hello')
        time.sleep(1)


if __name__ == '__main__':
    pro = Process(target=job)
    pro.start()

 

from threading import Thread, Lock
import time


lock = Lock() # 保护互斥量
n = 100 # 多线程发成竞争的那段代码就是互斥量

def thr_job():
    print('the new thread is running....')
    global n
    lock.acquire()
    n = 200
    lock.release()
    time.sleep(3)


if __name__ == '__main__':
    # 创建线程
    thr = Thread(target=thr_job, name='不一样', daemon=True)
    thr.start()
    print(thr.name, thr.ident)
    # 加锁
    lock.acquire()
    print(n)
    time.sleep(2)
    print(n + 10)
    # 解锁
    lock.release()
    thr.join()

 n = 0 ：任务没发下来等待继续发放任务

 n > 0：还有任务发放

n < 0 ：没有任务发放完成了

from threading import Thread, local

# 使得多线程在使用全局的local绑定变量的时候局部化
lc = local()

def fun(s):
    lc.name = s

if __name__ == '__main__':
    lc.name = 'main'
    thr = Thread(target=fun, args=('python',))
    thr.start()
    thr.join()
    print(lc.name)