profiling.md 710 B
icon: dot title: Profiling
order: 79
To profile your pocketpy scripts, you can run main.exe with --profile flag.
For example, to profile test/test_math.py, run
main.exe --profile test/test_math.py
This will output a JSON report file named profile_report.json in the current directory,
which records the time spent for each line. To visualize the report, please install our VSCode extension.
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.
