TYP: Fix DTypeLike runtime type-checker support#31425
Merged
charris merged 1 commit intoMay 13, 2026
Merged
Conversation
charris
approved these changes
May 13, 2026
Member
Author
|
Test failure seems unrelated |
Member
|
Thanks Joren. |
Member
|
I note the file in 2.4.x is very different. Would it make sense to just backport the whole current version? |
Member
Author
Hmm yea, maybe it's easier if I backport it myself then |
charris
added a commit
that referenced
this pull request
May 13, 2026
TYP: Fix `DTypeLike` runtime type-checker support (#31425)
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
Runtime type-checkers like beartype currently aren't able to check if something is an instance of
numpy.typing.DTypeLikebecause not all protocols in the union type aren't runtime checkable (see https://github.com/mikedh/trimesh/actions/runs/25796361932/job/75774562690?pr=2541 for example). The fix is to to add a@runtime_checkableto the_HasNumPyDTypeprotocol.On the 2.4 branch the
_HasDTypeprotocol is also missing a@runtime_checkable(numpy/numpy/_typing/_dtype_like.py
Lines 44 to 51 in be93fe2
runtime_checkablefromtyping.No AI