初识多线程__下

from threading import Thread, Lock
import time

g_num = 0

def test1():
    global g_num
    for i in range(1000000):
        #True表示堵塞 即如果这个锁在上锁之前已经被上锁了，那么这个线程会在这里一直等待到解锁为止 
        #False表示非堵塞，即不管本次调用能够成功上锁，都不会卡在这,而是继续执行下面的代码
        mutexFlag = mutex.acquire(True) 
        if mutexFlag:
            g_num += 1
            mutex.release()

    print("---test1---g_num=%d"%g_num)

def test2():
    global g_num
    for i in range(1000000):
        mutexFlag = mutex.acquire(True) #True表示堵塞
        if mutexFlag:
            g_num += 1
            mutex.release()

    print("---test2---g_num=%d"%g_num)

#创建一个互斥锁
#这个所默认是未上锁的状态
mutex = Lock()

p1 = Thread(target=test1)
p1.start()


p2 = Thread(target=test2)
p2.start()

print("---g_num=%d---"%g_num)

---g_num=61866---
---test1---g_num=1861180
---test2---g_num=2000000

    #coding=utf-8
    import threading
    import time

    class MyThread(threading.Thread):
        # 重写 构造方法
        def __init__(self,num,sleepTime):
            threading.Thread.__init__(self)
            self.num = num
            self.sleepTime = sleepTime

        def run(self):
            self.num += 1
            time.sleep(self.sleepTime)
            print(‘线程(%s),num=%d‘%(self.name, self.num))

    if __name__ == ‘__main__‘:
        mutex = threading.Lock()
        t1 = MyThread(100,5)
        t1.start()
        t2 = MyThread(200,1)
        t2.start()
    import threading
    from time import sleep

    def test(sleepTime):
        num=1
        sleep(sleepTime)
        num+=1
        print(‘---(%s)--num=%d‘%(threading.current_thread(), num))


    t1 = threading.Thread(target = test,args=(5,))
    t2 = threading.Thread(target = test,args=(1,))

    t1.start()
    t2.start()

#coding=utf-8
import threading
import time

class MyThread1(threading.Thread):
    def run(self):
        if mutexA.acquire():
            print(self.name+‘----do1---up----‘)
            time.sleep(1)

            if mutexB.acquire():
                print(self.name+‘----do1---down----‘)
                mutexB.release()
            mutexA.release()

class MyThread2(threading.Thread):
    def run(self):
        if mutexB.acquire():
            print(self.name+‘----do2---up----‘)
            time.sleep(1)
            if mutexA.acquire():
                print(self.name+‘----do2---down----‘)
                mutexA.release()
            mutexB.release()

mutexA = threading.Lock()
mutexB = threading.Lock()

if __name__ == ‘__main__‘:
    t1 = MyThread1()
    t2 = MyThread2()
    t1.start()
    t2.start()

from threading import Thread,Lock
from time import sleep

class Task1(Thread):
  def run(self):
      while True:
          if lock1.acquire():
              print("------Task 1 -----")
              sleep(0.5)
              lock2.release()

class Task2(Thread):
  def run(self):
      while True:
          if lock2.acquire():
              print("------Task 2 -----")
              sleep(0.5)
              lock3.release()

class Task3(Thread):
  def run(self):
      while True:
          if lock3.acquire():
              print("------Task 3 -----")
              sleep(0.5)
              lock1.release()


#使用Lock创建出的锁默认没有“锁上”

lock1 = Lock()

#创建另外一把锁，并且“锁上”

lock2 = Lock()
lock2.acquire()

#创建另外一把锁，并且“锁上”

lock3 = Lock()
lock3.acquire()

t1 = Task1()
t2 = Task2()
t3 = Task3()

t1.start()
t2.start()
t3.start()

------Task 1 -----
------Task 2 -----
------Task 3 -----
------Task 1 -----
------Task 2 -----
------Task 3 -----
------Task 1 -----
------Task 2 -----
------Task 3 -----
------Task 1 -----
------Task 2 -----
------Task 3 -----
------Task 1 -----
------Task 2 -----
------Task 3 -----
...省略...

def process_student(name):
    std = Student(name)
    # std是局部变量，但是每个函数都要用它，因此必须传进去：
    do_task_1(std)
    do_task_2(std)

def do_task_1(std):
    do_subtask_1(std)
    do_subtask_2(std)

def do_task_2(std):
    do_subtask_2(std)
    do_subtask_2(std)

global_dict = {}

def std_thread(name):
    std = Student(name)
    # 把std放到全局变量global_dict中：
    global_dict[threading.current_thread()] = std
    do_task_1()
    do_task_2()

def do_task_1():
    # 不传入std，而是根据当前线程查找：
    std = global_dict[threading.current_thread()]
    ...

def do_task_2():
    # 任何函数都可以查找出当前线程的std变量：
    std = global_dict[threading.current_thread()]
    ...

import threading


# 创建全局ThreadLocal对象:

local_school = threading.local()

def process_student():
    # 获取当前线程关联的student:
    std = local_school.student
    print(‘Hello, %s (in %s)‘ % (std, threading.current_thread().name))

def process_thread(name):
    # 绑定ThreadLocal的student:
    local_school.student = name
    process_student()

t1 = threading.Thread(target= process_thread, args=(‘dongGe‘,), name=‘Thread-A‘)
t2 = threading.Thread(target= process_thread, args=(‘老王‘,), name=‘Thread-B‘)
t1.start()
t2.start()
t1.join()
t2.join()

from multiprocessing import Pool
import time
import os

def test():
    print("---进程池中的进程---pid=%d,ppid=%d--"%(os.getpid(),os.getppid()))
    for i in range(3):
        print("----%d---"%i)
        time.sleep(1)
    return "hahah"

def test2(args):
    print("---callback func--pid=%d"%os.getpid())
    print("---callback func--args=%s"%args)

pool = Pool(3)
pool.apply_async(func=test,callback=test2)

time.sleep(5)

print("----主进程-pid=%d----"%os.getpid())

---进程池中的进程---pid=9401,ppid=9400--
----0---
----1---
----2---
---callback func--pid=9400
---callback func--args=hahah
----主进程-pid=9400----