scverse / scverse/fast-array-utils
Remove fallbacks? Add array API integration?
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Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 15
- Forks
- 5
- Avg merge
- 10h 33m
- Merged PRs (30d)
- 9
Description
Maybe we should let people call np.asarray themselves if they want to use this on unsupported types.
Or we utilize the array api somehow
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First steps
- Read the whole issue, then the project's contributing guide.
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Research direction
The issue names no files, tests, or entry points. Review the existing fallback behavior and array-handling API, then determine whether unsupported types should require np.asarray or whether Array API integration is intended. Done requires a documented decision and corresponding implementation scope.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- data
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100