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...
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...
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(): ...
threading.Thread.__init__(self) self.num = num def run(self):#定义每个线程要运行的函数 print("running on number:%s" %self.num) time.sleep(3) if __name__ == '__main__': t1 = MyThread(1) t2 = MyThread(2) t1.start() ...
(threading.Thread): def __init__(self,num): threading.Thread.__init__(self) self.num = num def run(self): #定义每个线程要运行的函数 print("running on number:%s" %self.num) time.sleep(2) if __name__ == '__main__': t1 = MyThread(1) t2 = MyThread(2) t1.start() t2....
super(MyThread, self).__init__() self.func=func self.args=argsdefrun(self): time.sleep(2) self.result= self.func(*self.args)defget_result(self): threading.Thread.join(self)#等待线程执行完毕try:returnself.resultexceptException:returnNone#获取多线程return返回值的测试方法defadmin(number): ...
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: ...
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()...
(float), /* Size of one scalar */ py::format_descriptor<float>::format(), /* Python struct-style format descriptor */ 2, /* Number of dimensions */ { m.rows(), m.cols() }, /* Buffer dimensions */ { sizeof(float) * m.cols(), /* Strides (in bytes) for each index */ ...