shape-typing and narrower dtypes in `numpy.lib._shape_base_impl`
Nobody has claimed this yet.
Assessment
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Newbie friendliness
- 35/100
Research direction
Start by reading the typing for numpy.lib._shape_base_impl and the existing patterns for shape typing and dtype narrowing. Review each listed function—such as apply_along_axis, expand_dims, and tile—and determine the expected annotation coverage; done means all checklist entries have appropriately narrowed types and the relevant stub checks pass.
Written by the indexing model from the issue text.
Description
-
apply_along_axis -
apply_over_axes -
expand_dims -
column_stack -
dstack -
array_split -
{h,v,d}split -
kron -
tile
- 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.
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