Need .axis_iter()-analog taking K axes and returning NdProducer of (D-K)-dim ArrayViews
Nobody has claimed this yet.
Assessment
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Newbie friendliness
- 30/100
Research direction
Start by reading the existing .lanes() and .axis_iter() entry points and how they produce arrays or views. Work out the API for selecting K axes and returning (D-K)-dimensional ArrayViews suitable for Zip, then add coverage showing the 2-D and 4-D projection use case works.
Written by the indexing model from the issue text.
Description
Now we have .lanes() which returns (D-1)-dim NdProducer of 1-dim arrays
and .axis_iter() which returns 1-dim NdProducer of (D-1)-dim arrays
Anything in between?
Say, I want to Zip 2-D array and projection of 4-D array, how do I facilitate that?
- Dominant language
- Rust
- Stars
- 4.3k
- Forks
- 391
- PR merge metrics
- No merged PRs in 30d
Getting set up
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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.
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