• 线程的枷锁


    为了保证线程的安全,和保证程序的有序执行,通过给线程加锁的方式来进行限制.

    锁:控制线程

    1  lock 锁(会有死锁现象):一次放一个

    import threading
    import time
    
    v=[]
    lock = threading.Lock()#创建锁
    
    def func(arg):
        lock.acquire()#添加锁
        v.append(arg)#给列表添加元素
        time.sleep(0.01)#等待0.01秒
        m=v[-1]#取列表V 最后一位
        print(arg,m)#打印列表中刚添加进去的值和最后一位的值
        lock.release()#释放锁
       
    for i in range(10):#循环10次
        t=threading.Thread(target=func,args=(i,))#每循环一次创建一个线程
    
        t.start()#告诉CPU准备就绪,可以运行
    
    执行效果:
    
    0 0
    1 1
    2 2
    3 3
    4 4
    5 5
    6 6
    7 7
    8 8
    9 9

    2 Rlock 锁(递归锁):一次放一个,与lock的使用方法一致,但是支持多次加锁

    import threading
    import time
    
    v=[]
    lock=threading.Rlock()
    def func(arg):
        lock.acquire()
        lock.acquire()  #二次加锁
    
        v.apped(arg)
        time.sleep(0.01)
        m=v[-1]
        print(arg,m)
    
        lock.release()
        lock.release() #二次解锁
    
    for i in range(10):
        t=threading.Thread(target=func,args=(i,))
        t.start()
    
    执行结果为:
    0 0
    1 1
    2 2
    3 3
    4 4
    5 5
    6 6
    7 7
    8 8
    9 9

    3 semaphore  锁:一次放n个 (信号量)

    import time
    import threading
    
    lock=threading.BoundedSemaphore(3) #引入锁的时候 已经进行了数量的限制,一次只允许三个线程运行,运行完这三个线程以后才可以继续向下走
    
    def func(arg):
        lock.acquire()
        print(arg)
        time.sleep(1)
        lock.release()
    
    for i in range(10):
        t=threading.Thread(target=func,args=(i,)
        t.start()

    4 Condition 锁:一次方法放n个(每循环一次可以修改放出的数量)

    import time 
    import threading
    
    lock= threading.Condition()# 创建Condition锁
    =======方式一====
    def func(arg):
          print("县城进来了")
          lock.acquire()
          lock.wait()
    
          print(arg)
          time.sleep(1)
          lock.release()
    
    for i in range(10):
        t = threading.Thread(target=func,args=(i,))
        t.start()
    
    while True:
        inp=int(input("请设定一次输出线程数量:"))
        lock.acquire()
        lock.notify(inp)
        lock.release()       
    
    
    ++++++++方式二++++++
    
    def xxxx():
    
        print("来执行函数了")
        input(">>>")  
        ct=threading.current_thread()
        ct.getName()
        return True
    def func(arg):
        print("线程进来了")
        lock.wair_for(xxxx)#调用xxxx函数
        print(arg)
        time.sleep(1)
    for i in range(10):    
        t=treading.Thread(target=func,args=(i,))
        t.start
      

    5 Event 锁:一次放所有

    import threading
    
    lock=threading.Event()
    
    def func(arg):
        print("线程来了")
        lock.wait()  #红灯
        print(arg)
    
    for i in range(10):
        t = threading.Thread(target=func,args=(i,))
        t.start()
    
    input(">>>")
    lock.set()  #绿灯
    
    lock.clear()  #再次变红灯
    for i in range(10):
        t=threading.Thread(target=func,args=(i))
        t.start()
    input(">>>")
    lock.set()  #绿灯

    threading.local:内部为当前线程创建一个空间用于存储相应的值

    import  time
    import threading 
    
    v=threading.local()
    
    def func(arg):
        #内部会为当前线程创建一个空间用于存储:phone=自己的值
        v.phone=arg
        time.sleep(2)
        print(v.phone,arg) #去当前空间取自己的值
    
    
    for i in range(10):
        t=threading.Thread(target=func,args=(i,))
        t.start()
    import time
    import threading
    INFO = {}
    class Local(object):
    
        def __getattr__(self, item):
            ident = threading.get_ident()
            return INFO[ident][item]
    
        def __setattr__(self, key, value):
            ident = threading.get_ident()
            if ident in INFO:
                INFO[ident][key] = value
            else:
                INFO[ident] = {key:value}
    
    obj = Local()
    
    def func(arg):
        obj.phone = arg # 调用对象的 __setattr__方法(“phone”,1)
        time.sleep(2)
        print(obj.phone,arg)
    
    
    for i in range(10):
        t =threading.Thread(target=func,args=(i,))
        t.start()
    原理二选修
    # by luffycity.com
    import time
    import threading
    
    DATA_DICT = {}
    
    def func(arg):
        ident = threading.get_ident() #内存中存储地址编号
        DATA_DICT[ident] = arg
        time.sleep(1)
        print(DATA_DICT[ident],arg)
    
    
    for i in range(10):
        t =threading.Thread(target=func,args=(i,))
        t.start()
    原理一

    线程池:

    from concurrent.futures import ThreadPOOLExecutor
    
    import time
    
    def task(a1,a2):
    
         time.sleep(2)
    
        print(a1,a2)
    
    pool=ThreadPoolExecutor(5)  #创建一个线程池 最多5个线程
    
    for i in range(40):
    
         pool.sunmit(task,i,8)    

    生产者消费者模型:

    import time
    import queue
    import threading
    q = queue.Queue() # 线程安全
    
    def producer(id):
        """
        生产者
        :return:
        """
        while True:
            time.sleep(2)
            q.put('包子')
            print('厨师%s 生产了一个包子' %id )
    
    for i in range(1,4):
        t = threading.Thread(target=producer,args=(i,))
        t.start()
    
    
    def consumer(id):
        """
        消费者
        :return:
        """
        while True:
            time.sleep(1)
            v1 = q.get()
            print('顾客 %s 吃了一个包子' % id)
    
    for i in range(1,3):
        t = threading.Thread(target=consumer,args=(i,))
        t.start()
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  • 原文地址:https://www.cnblogs.com/lingcai/p/9629219.html
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