more sophisticated type checking with numpy
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contrib-help-wanted
enhancement
topic-typing
- Dominant language
- Python
- Stars
- 4.2k
- Forks
- 1.4k
- Avg merge
- 2d 15h
- Merged PRs (30d)
- 14
Description
What is your issue?
This cool blogpost points out many improvements in numpy typing (NumType).
It also mentions stubtest which should be useful for our stubs, and also seems to be opt-in.
This would be a nice project for someone interested in type safety.
xref #10273
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start with the NumType and mypy stubtest documentation linked in the issue, then inspect xarray’s current typing and stub-testing setup. Review the discussion in #10273 to establish scope; done should mean a clearly defined, validated improvement to xarray’s NumPy type checking.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- numpy, python
- Domain
- testing-qa, tooling
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 30/100