编写公平的基准测试
在两种语言中计时相同任务
编写公平的基准测试 是 CoddyKit 上的免费 Mojo Academy 课时。 这是第 1 节课,共 4 节。 你可以在下方免费阅读本课时的完整内容 — 然后在浏览器中使用内置代码编辑器和全天候 AI 导师进行实践。 这是 Mojo Academy 学习路径的一部分,你的进度在网页和 CoddyKit 应用中同步。 Mojo Academy 课程共包含 4 节课。
本课时的部分内容尚未翻译,以英文显示。
Why Benchmark at All?
To prove Mojo is faster, you measure it. A benchmark times the exact same task in both languages so the numbers actually mean something. 📊
Same Task, Both Sides
A fair test runs identical work in Python and Mojo. If the algorithms differ, you compare ideas, not languages, and the result is meaningless.
Pick One Workload
Choose a single, clear workload, like summing a million numbers. A focused task is easy to repeat and easy to reason about.
fn sum_to(n: Int) -> Int:
var total = 0
for i in range(n):
total += i
return totalTime the Work, Not Setup
Start the clock right before the work and stop it right after. Timing file loading or imports hides the real compute cost.
from time import now
var start = now()Measure Elapsed Time
Subtract the start from the end to get elapsed time. That single number is what you will compare across the two languages.
var start = now()
# ...work...
var elapsed = now() - startRun It Many Times
One run can be noisy. Repeat the task many times and average, so a random hiccup does not decide your result.
for trial in range(10):
var t = now()
sum_to(1_000_000)Warm Up First
The first run is often slow due to caching and startup. Do a quick warmup run and ignore it before timing for real.
Use a Big Enough Input
Tiny inputs finish too fast to measure. Pick an input large enough that the work takes a meaningful, steady amount of time.
Avoid Dead-Code Removal
If a result is never used, the compiler may delete the work. Print or keep the output so the timed code actually runs.
var r = sum_to(1_000_000)
print(r)Same Machine, Same Conditions
Run both versions on the same machine with nothing heavy in the background. Different hardware ruins any comparison.
Report It Clearly
Write down the input size, number of runs, and the average time. A clear report lets anyone trust and repeat your benchmark.
Quick Check
Think about what makes a comparison trustworthy.
Recap
A fair benchmark times the same work on the same machine, warms up, repeats, and reports clearly. Now the speedup you measure is real. 🎯
常见问题解答
「编写公平的基准测试」课时是免费的吗?
是的 — 「编写公平的基准测试」的完整文本可在网页上免费阅读。要进行交互式练习(内置代码编辑器和全天候 AI 导师)并解锁 Mojo Academy 课程的其余内容,请升级到 CoddyKit PRO。 Mojo Academy 课程共包含 4 节课。
「编写公平的基准测试」这节课中我会学到什么?
在两种语言中计时相同任务 你通过在浏览器中直接运行的动手代码来练习 Mojo Academy,全天候 AI 导师会在你学习这节课的过程中回答你的问题。
学习 Mojo Academy 需要有经验吗?
无需任何先前经验。CoddyKit 上的 Mojo Academy 课程适合初学者到高级学习者,你可以从这里开始或从头开始,按照自己的节奏学习。 这是第 1 节课,共 4 节。
「编写公平的基准测试」课时需要多长时间?
大多数 CoddyKit 课程大约需要 5–10 分钟。每节课都很精短且互动,所以你能稳步进步,并在网页和应用中从离开的地方继续。
我能在这节 Mojo Academy 课中编写并运行代码吗?
能。每节 Mojo Academy 课都包含内置代码编辑器,你可以在浏览器中直接编写并运行真实代码,并获得即时 AI 反馈 — 无需本地设置。
此课程中的所有课时
- 编写公平的基准测试
- fn 与类型为何能提升速度
- 如实解读数据
- 符合惯用法的 Mojo 习惯