Repository navigation
Refresh CI and fix TensorFlow compatibility issues - #629
Merged
Merged
Conversation
t-kalinowski
changed the title
t-kalinowski
marked this pull request as ready for review
November 12, 2026 00:03
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Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be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.
Refresh CI and fix compatibility with current Python dependencies.
py_require_tensorflow()now lets TensorFlow's package metadata determine compatible NumPy versions on Windows. This removes the obsoletenumpy<2constraint that prevents environment resolution with Python 3.13. Update the installation documentation and NEWS, and add a regression test through the public API.as_tensor()now uses dtype width and signedness to decide whether an R numeric value can pass through R integer storage. This avoids converting a dtype's large integer limit to an R integer, which raises an overflow error on Windows and incorrectly coerces large values on other platforms. Add coverage for scalar and vector conversions toint64,uint64, anduint32.Internally, update
actions/checkoutto v7 andactions/staleto v11, quote issue URLs in the label workflow, and require testthat 3.1.7 for the regression test's platform mocks.