Generic `numpy.broadcast`
Nobody has claimed this yet.
Assessment
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Newbie friendliness
- 45/100
- Issue type
- Feature
- Clarity
- Mostly clear
- Activity status
- Stale
- Tech stack
- numpy, python
- Domain
- developer-experience
Research direction
Start at numpy._core._multiarray_umath and review related issue #118 for the intended typing approach. Define the generic dtype and shape-type behavior for numpy.broadcast, with completion shown by the stubs accurately exposing both type parameters.
Written by the indexing model from the issue text.
Description
It would help to make numpy.broadcast generic on its dtype and shape-type.
It lives in numpy._core._multiarray_umath.
related to #118
- Dominant language
- Python
- Stars
- 79
- Forks
- 8
- PR merge metrics
- No merged PRs in 30d
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.
More from numpy/numtype
-
topic: documentation
Difficulty 2/5 1-3 hours Newbie friendliness 68/100
-
topic: documentation
Difficulty 4/5 3-5 days Newbie friendliness 35/100
-
blame: Pyright tool: basedpyright
-
numpy.generic stubs: Incomplete
Difficulty 3/5 1-2 days Newbie friendliness 35/100
-
_numtype stubs: Refactor
Difficulty 3/5 1-2 days Newbie friendliness 45/100
Similar issues
-
sponsored
Difficulty 2/5 1-3 hours Newbie friendliness 65/100
-
Difficulty 2/5 1-3 hours Newbie friendliness 86/100
Diaoul/subliminal#1382 ·
-
Difficulty 1/5 Under an hour Newbie friendliness 92/100
-
triage/confirmed
Difficulty 2/5 1-3 hours Newbie friendliness 88/100
agentscope-ai/agentscope#2775 ·
-
Difficulty 2/5 1-3 hours Newbie friendliness 84/100