Reconsider negative indexing?
Nobody has claimed this yet.
Assessment
- Difficulty
- 5/5
- Estimated time
- Over a week
- Newbie friendliness
- 20/100
Research direction
The issue discusses whether ndarray should support or reconsider negative indexing based on Python and NumPy behavior, but it names no files, tests, or entry points. Start by reviewing the current indexing API and its documentation, then determine whether a concrete API change is warranted. Done requires an agreed direction and clearly defined behavior.
Written by the indexing model from the issue text.
Description
I've not yet used ndarray, but looking at its description, it sounds like it follows Python's approach of using negative indices to could back from the end of an array? I would strongly suggest reconsidering that. It is the feature of numpy that in my experience most commonly results in hard to find bugs for now users.
- Dominant language
- Rust
- Stars
- 4.3k
- Forks
- 391
- PR merge metrics
- No merged PRs in 30d
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