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