number =100mutex = threading.Lock()# 创建锁对象classMyThread(Thread):defrun(self):globalnumberforiinrange(1000000): y = mutex.acquire()# 获取锁ify:# 拿到锁就执行下面number +=1mutex.release()# 释放锁print(number)defget_thread1(number=5): l_thread = (MyThread()foriinrange(number))for...
thread Thread-1,@number:0thread Thread-2,@number:0thread Thread-3,@number:0End Main threading thread Thread-2,@number:1thread Thread-1,@number:1thread Thread-3,@number:1thread Thread-1,@number:2thread Thread-3,@number:2thread Thread-2,@number:2thread Thread-2,@number:3thread Thread-3...
#print('ThreadName is :%s' % thread.name) # 返回线程名称 print('ThreadName is :%s'% thread.getName()) #返回线程名称 time.sleep(2) if __name__ == '__main__': #print('The current number of threads is: %s' % threading.active_count()) for i in range(3): #print('The curre...
print(timeit.timeit(mutable_test, setup=setup, number=1000)) # 可变类型修改时间 print(timeit.timeit(immutable_test, setup=setup, number=1000)) # 不可变类型“修改”时间4.2.2数据安全与并发控制 在多线程或异步编程环境中,可变类型可能导致竞态条件和数据不一致。使用不可变类型能有效避免这些问题,因为它们...
import timeit def my_function(): # 要测试的代码 # 测试函数执行时间 execution_time = timeit.timeit(my_function, number=1) print(f"Execution time: {execution_time} seconds") 使用cProfile模块:cProfile是Python的性能分析工具,可以帮助查看函数调用及执行时间。 import cProfile def my_function(): ...
#current's number of threads import threading import time def worker(): print "test" time.sleep( 1 ) for i in xrange ( 5 ): t = threading.Thread(target = worker) t.start() print "current has %d threads" % (threading.activeCount() - 1 ) ...
Thread(target=thread_entry, daemon=True) thread1.start() # 启动线程,使之处于“就绪”状态 time.sleep(0.8) print("Active Thread Number = %d" % threading.active_count()) time.sleep(1.8) print("Main Thread Quit") # 主线程退出 if __name__=='__main__': start_threads()...
就拿计数器来举例子,如果我们要多个线程累加同一个变量,对于thread来说,申明一个global变量,用thread.Lock的context包裹住三行就搞定了。而multiprocessing由于进程之间无法看到对方的数据,只能通过在主线程申明一个Queue,put再get或者用share memory的方法。这个额外的实现成本使得本来就非常痛苦的多线程程序编码,变得更加...
SciencePlots是一款用于科学绘图的Python工具包。 当我们看学术期刊、论文时会看到各种各样高大上的图形。会好奇,这么好看的图到底怎么画的?是不是很困难? 的确,现在很多Python绘图工具只是关注图形所表达的数据信息,而忽略了样式。 SciencePlots则弥补了这片空白,它是一款专门针对各种学术论文的科学绘图工具,例如,scien...
print(f"The square of {number} is {number * number}") # 创建多个进程 processes = [] for i in range(5): process = Process(target=compute_square, args=(i,)) processes.append(process) process.start() # 等待所有进程完成 for process in processes: ...