countdown(1000000)print(t2.elapsed)# 0.056095916999999995 如同前面所展示的,由Timer类记录的时间是挂钟时间,其中包含了所有的sleeping时间。如果仅想获取进程的CPU时间(包括在用户态和内核态中的时间),可以用time.process_time()取代。示例如下: t = Timer(time.process_time)witht: countdown(1000000)print(t.e...
import time def timing_decorator(original_function): @functools.wraps(original_function) def wrapper(*args, **kwargs): start_time = time.time() result = original_function(*args, **kwargs) end_time = time.time() execution_time = end_time - start_time print(f"Function '{original_function...
importthreadingimporttimedefdo_work():print("Thread starting.")time.sleep(1)# 模拟耗时操作print("Thread finishing.")if__name__=="__main__":foriinrange(3):t=threading.Thread(target=do_work)t.start()t.join()print("All threads have completed.") 这个逻辑是启动了一个线程后,等待这个线程...
# counter.pyclassCounter:def__init__(self):self.count=0defincrement(self):self.count+=1def__call__(self):self.increment() 在这个 Counter 类中,我们有一个.count实例属性来跟踪当前计数。然后,你有一个.increment()方法,每次调用它时都将计数加 1。最后,添加一个.__call__()方法。在这个示例中,...
首先说明，time模块很多是系统相关的，在不同的OS中可能会有一些精度差异，如果需要高精度的时间测量，...
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(): ...
result_item = count(x) return result_item def count(number): for i in range(0, 10000000): i = i + 1 return i * number if __name__ == "__main__": # Sequential execution start_time = time.time() for item in number_list: ...
In @slow_down, you call time.sleep() to have your code take a pause before calling the decorated function. To see how the @slow_down decorator works, you create a countdown() function. To see the effect of slowing down the code, you should run the example yourself:Python ...
▶ Evaluation time discrepancy1.array = [1, 8, 15] # A typical generator expression gen = (x for x in array if array.count(x) > 0) array = [2, 8, 22]Output:>>> print(list(gen)) # Where did the other values go? [8]...
("reverse 反转列表数据", x1)print("count 计数列表数据值出现次数", x1.count(6))x1.sort()print("sort 排序后的列表", x1)输出结果:index 查找元素位置 1reverse 反转列表数据 [8, 7, 6, 5, 4, 3, 2, 1]count 计数列表数据值出现次数 1sort 排序后的列表 [1, 2, 3, 4, 5, 6, 7, ...