#!-*-coding:utf-8-*-
#加用户态的锁，与全局解释器锁不一样(GIL)
import threading, time
def run(n):
    lock.acquire() #获取用户态锁 也叫互斥锁Mutex
    global num #操作
    #time.sleep(0.1) #加了sleep之后程序变串行的了 一般不要加
    num +=1
    lock.release() #释放用户态锁

lock=threading.Lock()
num=0
t_objs = []
for i in range(1000):
    t = threading.Thread(target=run, args=("t %s" % i,))
    t.start()
    t_objs.append(t)  # 把每个线程实例都加进来 不阻塞后面线程的启动
for t in t_objs: #取列表里的每个线程
    t.join() #等待并行的每个线程全都执行完毕 在往下走

print("----all threads has finished...",threading.current_thread(),threading.active_count())
print("num",num)

threading, time
 run1():
     print()
     lock.acquire()
     num
     num += 1
     lock.release()
     num
 
 run2():
     print()
     lock.acquire()
     num2
     num2 += 1
     lock.release()
     num2
 
 run3():
     lock.acquire()
     res = run1()
     print()
     res2 = run2()
     lock.release()
     print(res, res2)
 
 num, num2 = 0, 0
 lock = threading.RLock() i range(1):
     t = threading.Thread(target=run3)
     t.start()
 
 threading.active_count() != 1:
     print(threading.active_count())
 :
     print()
     print(num, num2)

threading,time
 run(n):
     semaphore.acquire() time.sleep(1)
     print(%n)
     semaphore.release() __name__==:
     semaphore=threading.BoundedSemaphore(5) i range(20):
         t=threading.Thread(target=run,args=(i,))
         t.start()
 
 threading.active_count() !=1:
     :
     print()