improve shape-typing in `numpy._core.fromnumeric`
Open
Nobody has claimed this yet.
topic: shape-typing
- Dominant language
- Python
- Stars
- 79
- Forks
- 8
- PR merge metrics
- No merged PRs in 30d
Description
-
shape -
ndim -
size -
reshape -
resize -
squeeze -
ravel -
swapaxes -
repeat -
transpose -
matrix_transpose -
take -
choose -
partition -
compress -
sort -
argsort -
argmax -
argmin -
[a]max -
[a]min -
ptp -
nonzero -
searchsorted -
diagonal -
trace -
clip -
[a]round -
sum -
prod -
mean -
var -
std -
cumsum -
cumprod -
cumulative_sum -
cumulative_prod -
all -
any
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.
Research direction
Start by inspecting the typing for numpy._core.fromnumeric and the unchecked functions listed in the issue. Determine the intended shape typing for each function and how completion will be verified; done means the listed checklist items have been addressed.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- numpy, python
- Domain
- tooling
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 18/100