python / python/pyperformance

Benchmark stdlib compression code

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Description

At PyConUS, I was chatting with @gpshead about adding compression benchmarks. While a lot of the "heavy lifting" of compression happens in the libraries CPython binds (zlib, liblzma, etc.), the handling of output buffers in CPython has a significant impact in performance, and is something we don't have a lot of visibility into the performance of.

One of the better known cross-algorithm compression benchmarks I'm aware of is lzbench, which tests compression performance of the Silesia compression corpus across many algorithms. I figure running compression benchmarks at varied settings on Silesia would provide a good starting point for benchmarking the output buffer and other binding code.

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Research direction

No files, tests, or entry points are named. Start by reviewing pyperformance's existing benchmark structure, then compare lzbench's Silesia methodology and the zlib/liblzma bindings to define varied settings and output-buffer measurements. Done means reproducible compression benchmarks that expose the CPython-side performance described in the issue.

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Assessment

Tech stack
python
Domain
performance
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Mostly clear
Newbie friendliness
30/100

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