Support descriptors in dataclass transform #15006
Merged
Conversation
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
Contributor
|
According to mypy_primer, this change has no effect on the checked open source code. 🤖🎉 |
jhance
approved these changes
Apr 4, 2023
JukkaL
added a commit
that referenced
this pull request
Apr 5, 2023
Infer `__init__` argument types from the signatures of descriptor `__set__` methods, if present. We can't (easily) perform full type inference in a plugin, so we cheat and use a simplified implementation that should still cover most use cases. Here we assume that `__set__` is not decorated or overloaded, in particular. Fixes #14868.
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Outdated suggestions cannot be applied.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.
Infer
__init__argument types from the signatures of descriptor__set__methods, if present. We can't (easily) perform full type inference in a plugin, so we cheat and use a simplified implementation that should still cover most use cases. Here we assume that__set__is not decorated or overloaded, in particular.Fixes #14868.