pydata / pydata/xarray

Run duck array tests in separate CI jobs

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#9,826 2 comments 2 reactions 0 assignees View on GitHub

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array API standard CI contrib-help-wanted topic-arrays topic-testing
Dominant language
Python
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Description

What is your issue?

As a follow up to #9798 we should consider running a two CI jobs with pint, sparse, jax installed (one with latest version, one with minimum supported version), and remove them from the other jobs.

cc @slevang

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 reviewing the repository's CI configuration and the existing jobs that install duck-array dependencies. Create separate jobs for latest and minimum-supported versions of pint, sparse, and jax, remove those dependencies from the other jobs, and verify the CI matrix still runs successfully.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
ci-cd
Issue type
Refactor
Difficulty
3/5
Estimated time
1-2 days
Activity status
Stale
Clarity
Mostly clear
Newbie friendliness
38/100

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