Update profiling.md

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blueloveTH 2025-08-27 18:12:11 +08:00
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commit aa03544d4b

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@ -4,7 +4,7 @@ title: Profiling
order: 79
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To profile your pocketpy scripts, you can run `main.exe` with `--profile` flag.
To profile your pocketpy program, you can run `main.exe` with `--profile` flag.
For example, to profile `test/test_math.py`, run
@ -18,6 +18,6 @@ which records the time spent for each line. To visualize the report, please inst
https://marketplace.visualstudio.com/items?itemName=pocketpy.pocketpy
With pocketpy VSCode extension, press `F1` and type `pocketpy: Load Line Profiler Report`,
select `profile_report.json` and you will see a nice visualization of the profiling result.
select **1. the `profile_report.json` file; 2. the source root of the program**. Then you will see a nice visualization of the profiling result.
![lp](../static/profiler_demo.png)