shape-transparent `numpy.shape` for array-likes without `.shape`
Nobody has claimed this yet.
Assessment
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Newbie friendliness
- 35/100
Research direction
Start by locating the typing definition for numpy.shape and trace how ShapeT is inferred for array-like values. Check the array protocol described in the issue, then verify that objects returning np.ndarray[ShapeT, Any] from array receive the intended ShapeT result.
Written by the indexing model from the issue text.
Description
return ShapeT for objects s.t. def __array__: () -> np.ndarray[ShapeT, Any].
- 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
-
bug
Difficulty 2/5 1-3 hours Newbie friendliness 90/100
learningequality/ricecooker#747 ·
-
Difficulty 2/5 1-3 hours Newbie friendliness 68/100
BSData/horus-heresy-3rd-edition#3171 ·
-
enhancement
Difficulty 2/5 1-3 hours Newbie friendliness 72/100
-
Difficulty 2/5 1-3 hours Newbie friendliness 76/100
run-llama/llama_index#23199 ·
-
Difficulty 2/5 1-3 hours Newbie friendliness 84/100
KhronosGroup/glTF-Blender-IO#2769 ·