importtime# 导入time模块用于时间测量defcompute_sum():total=0# 初始化总和变量foriinrange(1,1000001):# 循环从1到1000000total+=i# 累加returntotal# 返回总和start_time=time.time()# 记录开始时间compute_sum()# 调用计算函数end_time=time.time()# 记录结束时间elapsed_time=end_time-start_time# 计算...
deftimer(func):defwrapper(*args,**kwargs):# start the timer start_time=time.time()# call the decoratedfunctionresult=func(*args,**kwargs)# remeasure the time end_time=time.time()# compute the elapsed time and print it execution_time=end_time-start_timeprint(f"Execution time: {execution...
importtime# 导入时间模块以使用其功能defcompute_task():# 定义一个计算任务的函数return1**2# 简单计算1的平方start_time=time.time()# 设置开始时间whiletime.time()-start_time<1:# 一直执行直到一秒钟过去compute_task()# 执行我们定义的计算任务elapsed_time=time.time()-start_time# 计算经过的时间# ...
# https://github.com/mrhwick/schedule/blob/master/schedule/__init__.py def run_continuously(self, interval=1): """Continuously run, while executing pending jobs at each elapsed time interval. @return cease_continuous_run: threading.Event which can be set to cease continuous run. Please ...
end_time = time.time elapsed_time = end_time - start_time print(f'Execution time: {elapsed_time:.2f} seconds') 注意:这些方法只会测量单元格中代码的执行时间。如果计算单元依赖于其他计算单元或外部资源,则执行时间将不包括执行这些依赖项所需的时间。
# python code to compute the time elapsed print"TimeElapsed: xxx" 具体解释可以看这个问题:http://stackoverflow.com/questions/17467441/how-to-embed-python-code-in-batch-script 注意第一行奇怪的语法只是为了把第二行合法的移到第一行,从而避免三个单引号这个非法命令调用出现在batch中。
print(f"Time taken: {elapsed_time:.4f} seconds") return result return wrapper @log_function_call def compute_sum(a, b): """Compute the sum of two numbers.""" time.sleep(1) # Simulate a delay return a + b result = compute_sum(3, 5) ...
# Elapsed time: 178 ± 141 μs 对于简单的内核,还可以测量算法的整个过程获得每秒浮点运算的数量。通常以GFLOP/s (giga-FLOP /s)为度量单位。加法操作只包含一个触发器:加法。因此,吞吐量由: # G * FLOP / timing in s gflops = 1e-9 * dev_a.size * 1e6 / timing.mean() ...
Elapsed time: 0.004619121551513672 s 详细信息可以看参考链接4和5 pypy最重要的特性还是stackless,支持高并发。这里有IO密集型任务(I/O-bound)和CPU密集型任务(compute-bound)的区分,CPU密集型任务的代码,速度很慢,是因为执行大量CPU指令,比如上文的for循环;I / O密集型,速度因磁盘或网络延迟而变慢,这两者之间是...
elapsed() 效果 TimerFps 在上面的基础上,再加上下面代码段: 代码语言:javascript 代码运行次数:0 运行 AI代码解释 import os import numpy as np import cv2 import math class MovingAverage: def __init__(self, average_width = 10, compute_sigma = False): self._average_width = average_width self...