pydata / pydata/xarray

Failure on `main` testing xarray.cross

Open
#9,327 2 comments 0 reactions 0 assignees View on GitHub

Nobody has claimed this yet.

bug topic-dask
Dominant language
Python
Stars
4.2k
Forks
1.4k
Avg merge
2d 15h
Merged PRs (30d)
14

Description

What happened?

Failure on main testing xarray.cross

https://github.com/pydata/xarray/actions/runs/10298827771/job/28504816043#step:10:838

Possibly either a bug in apply_ufunc or an incorrect use of it.

What did you expect to happen?

No response

Minimal Complete Verifiable Example

No response

MVCE confirmation
  • Minimal example — the example is as focused as reasonably possible to demonstrate the underlying issue in xarray.
  • Complete example — the example is self-contained, including all data and the text of any traceback.
  • Verifiable example — the example copy & pastes into an IPython prompt or Binder notebook, returning the result.
  • New issue — a search of GitHub Issues suggests this is not a duplicate.
  • Recent environment — the issue occurs with the latest version of xarray and its dependencies.
Relevant log output

No response

Anything else we need to know?

No response

Environment

main

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 with the linked CI job for the failure in xarray.cross and inspect the use of apply_ufunc involved in that test. Reproduce the failure on main, then determine whether apply_ufunc is faulty or xarray.cross is using it incorrectly; done means the test passes with the underlying cause addressed.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
data
Issue type
Bug
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.