What are common issues with pytest-benchmark?

What are common issues I might face when using pytest-benchmark?

Some common issues include inaccurate measurements, flaky tests, and configuration problems.

How can I resolve inaccurate measurements?

You can ensure accurate measurements by isolating benchmarks, avoiding side effects, and using proper fixtures.

What should I do if my benchmarks are flaky?

Flaky benchmarks can often be resolved by running tests multiple times and analyzing the variance in results.

Are there any specific configurations I should check?

Yes, check your pytest-benchmark configuration for settings like warmup iterations and the number of rounds.