How can I optimize my pytest benchmarks?
To optimize your pytest benchmarks, consider using the pytest-benchmark
plugin effectively. Start by ensuring your benchmarks are isolated and repeatable.
What are some common pitfalls to avoid when benchmarking?
Common pitfalls include not isolating the code being benchmarked, running benchmarks on a busy system, and not using sufficient iterations.
Can I compare benchmarks across different machines?
It's challenging to compare benchmarks across different machines due to variations in hardware and environment. Use consistent conditions for best results.
How do I interpret the benchmark results?
Look for the mean, median, and standard deviation in the results. These metrics help you understand the performance and variability of your benchmarks.
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