pydata / pydata/xarray

Update benchmark suite for asv 0.6.1

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contrib-help-wanted topic-performance
Dominant language
Python
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Description

The new asv version comes with decorators for parameterizing and skipping, and the ability to use mamba to create environments.

https://github.com/airspeed-velocity/asv/releases

https://asv.readthedocs.io/en/v0.6.1/writing_benchmarks.html#skipping-benchmarks

This might help us reduce benchmark times a bit, or at least simplify the code some.

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start by locating xarray’s benchmark suite and compare its current parameterization, skip handling, and environment setup with the ASV 0.6.1 release notes and writing-benchmarks documentation. Update the relevant benchmark definitions for the applicable ASV features, then run the benchmark suite; done means it works with ASV 0.6.1 while preserving current benchmark behavior.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
performance, testing
Issue type
Refactor
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Mostly clear
Newbie friendliness
35/100

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