#dev 2024-08-22
2024-08-22 UTC
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capjamesg[d] What is the best way to write performance benchmark tests for a Python library?
# capjamesg[d] I have a list of functions that I want to monitor for performance regressions.
# capjamesg[d] Wait, I think I have figured it out...
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[fluffy] Have you seen https://docs.python.org/3/library/timeit.html ?
# capjamesg[d] [fluffy]++
# capjamesg[d] I sometimes forget about that one!
# capjamesg[d] I ended up adding a feature to my pytest test suite that lets me provide a CLI argument to enter benchmarking mode, where the execution time of all tests are measured. The test suite ensures that execution time of each test is not over a certain maximum using`assert`.
# capjamesg[d] Also, pytest has a timeout feature that prevents a test from running too long, which was nice to have.
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