[benchmark] Request for call-path / fairness review (GLD.SerializerBenchmark)
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Assessment
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Newbie friendliness
- 42/100
Research direction
Review python/src/benchmark/serializers/native_cloudpickle.py in the linked GLD.SerializerBenchmark repository, then compare its call pattern, options, object types, and buffer handling with cloudpickle's documented usage. Done means recording concrete fairness findings, identifying any better entry point, or preparing a small PR against that wrapper; documentation corrections can be proposed separately.
Written by the indexing model from the issue text.
Description
Hello,
I'm Leonid Ganeline. We maintain an open multi-language serializer benchmark:
https://github.com/leo-gan/GLD.SerializerBenchmark
Your library is included in the suite (language: python, harness name: cloudpickle).
Implementation we use:
We would value a short review of whether our measurement is fair and idiomatic:
- Does our call pattern match how you recommend using the library in performance-sensitive code?
- Should we change options, encoder/decoder reuse, types, or buffer handling?
- Is there a better API (or a second entry point worth a separate row in the suite)?
Concrete notes or a small PR against that wrapper would help a lot. We are happy to credit you in the docs.
The repo also includes a short Serialization course (101–401). If something important about your design is easy to misstate, a pointer is welcome—we can update the docs ourselves.
Thank you for maintaining this library.
Best regards,
Leonid Ganeline
- Dominant language
- Python
- Stars
- 1.9k
- Forks
- 197
- Avg merge
- 1d 10h
- Merged PRs (30d)
- 1
Contributor guide
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