Use Integral and Real in typechecks rather than explicit types. #10336
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
6dee209 to
2169c0c
Compare
See https://docs.python.org/3/library/numbers.html https://github.com/numpy/numpy/blob/master/doc/release/1.9.0-notes.rst When using numpy >=1.9, this will make numpy ints and floats pass the relevant typechecks as well.
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Outdated suggestions cannot be applied.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.
See https://docs.python.org/3/library/numbers.html
https://github.com/numpy/numpy/blob/master/doc/release/1.9.0-notes.rst
This makes sure that whenever we typecheck for "float" or "int", numpy scalars also pass.
PR Summary
PR Checklist