python--线程锁，队列

#线程数据安全处理--同步锁

import time
def sub():
    global num

    print("ok")
    lock.acquire()#获取这把锁--->只有一个线程被执行，不允许cpu切换，必须执行完这个线程
    
    trmp=num
    time.sleep(0.01)###串行处理
    num=trmp-1
    print(num)
    lock.release()#释放这把锁

num=100


import threading

l=[]

lock=threading.Lock()#线程锁

for i in range(100):
    t=threading.Thread(target=sub)
    l.append(t)
    t.start()

for t in l:
    t.join()

print(num)

#递归锁

import threading,time

#递归锁

class Mythread(threading.Thread):

    def actionA(self):
        R_LOCK.acquire()#count=1
        print(self.name,"gotA",time.ctime())
        time.sleep(2)

        R_LOCK.acquire()#count=2
        print(self.name, "gotB", time.ctime())
        time.sleep(1)

        R_LOCK.release()#count=1
        R_LOCK.release()#count=0


    def actionB(self):
        R_LOCK.acquire()
        print(self.name, "gotB", time.ctime())
        time.sleep(2)

        R_LOCK.acquire()
        print(self.name, "gotA", time.ctime())
        time.sleep(1)

        R_LOCK.release()
        R_LOCK.release()


    def run(self):
        self.actionA()
        self.actionB()


if __name__=="__main__":
     # A=threading.Lock()
     # B=threading.Lock()
     R_LOCK=threading.RLock()#递归锁

     l=[]
     for i in range(5):
         t=Mythread()
         t.start()
         l.append(t)

     for i in l:
         i.join()

     print("ending")

#队列，线程间数据的安全

import queue #线程 队列

#默认先进先出-->FIFO   队列用于解决线程安全,线程通信

q=queue.Queue(3)#存放参数数据限制
q.put(12)
q.put("123")
q.put({"name":"alex"})#放入数据,数据已满时阻塞
print(q.qsize())#队列存储大小
print(q.empty())#是否为空
print(q.full())#是否已满

# q.put(22,False)当put的参数超过指定存放的参数时报错

while 1:
    data=q.get()#获取数据,数据为空时等待,阻塞
    print(data)
    print("----------------")




#---先进后出,后进先出

# import queue
#
# q=queue.LifoQueue()
# q.put(12)
# q.put("hello")
# q.put({"name":"yuan"})
#
# while True:
#     data=q.get()
#     print(data)
#     print("-------------------")


#数字优先级
# import queue
#
# q=queue.PriorityQueue()
# q.put([1,12])
# q.put([2,"hello"])
# q.put([4,{"name":"yuan"}])
#
# while True:
#     data=q.get()
#     print(data[1])
#     print("-------------------")
#

#生产者消费者模型

import time,random
import queue,threading

q=queue.Queue()#线程共用全局队列q

def Producer(name):
    count=0
    while count<10:
        print("making")
        # time.sleep(5)
        q.put(count)
        print("Producer %s has product %s baozi"%(name,count))
        count+=1
        # q.task_done()#告诉队列数据已经发送或获取
        q.join()
        print("ok")

def Consumer(name):
    count=0
    while count<10:
            time.sleep(random.randrange(4))
            print("waitting")
        # if not q.empty():
        #     q.join()#q.join 接受q.task_done的信号,如果没有发送,join则阻塞
            data=q.get()
            time.sleep(4)
            q.task_done()
            # print(data)
            print("Consumer %s has eat %s baozi "%(name,data))
        # else:
        #     print("包子不够了")
            count +=1

p1=threading.Thread(target=Producer,args=('A军',))
p2=threading.Thread(target=Consumer,args=("B君",))
c3=threading.Thread(target=Consumer,args=("C君",))
c4=threading.Thread(target=Consumer,args=("D君",))


p1.start()
p2.start()
c3.start()
c4.start()