O-21: Evaluation of approaches to supporting broadcasting and fancy indexing (optional)
Nobody has claimed this yet.
Assessment
- Difficulty
- 5/5
- Estimated time
- Over a week
- Newbie friendliness
- 25/100
- Issue type
- Feature
- Clarity
- Needs clarification
- Activity status
- Stale
- Tech stack
- numpy, python
- Domain
- data, distributed-systems
Research direction
No files, tests, or entry points are named. Start by reviewing the existing distributed array implementation and evaluating design approaches for broadcasting and fancy indexing. Done means producing a clear recommendation for how these NumPy features could be supported in a distributed context.
Written by the indexing model from the issue text.
Description
Broadcasting and fancy indexing are powerful NumPy features, but they are highly non-trivial to support in a distributed context. This task will explore design approaches to determine how to support these features.
Optional.
- Dominant language
- Python
- Stars
- 5
- Forks
- 1
- PR merge metrics
- No merged PRs in 30d
Contributor guide
No contributing guide indexed for this repository
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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