Repository navigation
Fix CI test failures from jax/numpy deprecation warnings - #747
Merged
mirzaees merged 2 commits intoOct 8, 2026
Merged
Conversation
jax 0.9.2 added a FutureWarning when jax.scipy.linalg.solve is given an identity matrix as the RHS to compute a full inverse, since it hits an ambiguous batched-solve path internal to cho_solve. Both call sites in crlb.py were only ever using solve() this way to get a matrix inverse, so switch them to jnp.linalg.inv directly. Also cap numpy<2.5 in the dependency specs: gdal_calc.py (used via _average_or_rename) still relies on an in-place ndarray.shape assignment that numpy 2.5 deprecated. The fix landed upstream (OSGeo/gdal#15127) but hasn't shipped in a GDAL release yet, so pin around it until it does. Since this repo's filterwarnings = ["error"] promotes both warnings to hard failures, they were taking down ~54 tests across the CRLB and GDAL-averaging code paths. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
mirzaees
added a commit
that referenced
this pull request
Oct 8, 2026
* Update opera-utils version to 0.25.9 * Fix CI test failures from jax/numpy deprecation warnings (#747) jax 0.9.2 added a FutureWarning when jax.scipy.linalg.solve is given an identity matrix as the RHS to compute a full inverse, since it hits an ambiguous batched-solve path internal to cho_solve. Both call sites in crlb.py were only ever using solve() this way to get a matrix inverse, so switch them to jnp.linalg.inv directly. Also cap numpy<2.5 in the dependency specs: gdal_calc.py (used via _average_or_rename) still relies on an in-place ndarray.shape assignment that numpy 2.5 deprecated. The fix landed upstream (OSGeo/gdal#15127) but hasn't shipped in a GDAL release yet, so pin around it until it does. Since this repo's filterwarnings = ["error"] promotes both warnings to hard failures, they were taking down ~54 tests across the CRLB and GDAL-averaging code paths. Co-authored-by: Claude Sonnet 5 <noreply@anthropic.com> --------- Co-authored-by: Claude Sonnet 5 <noreply@anthropic.com>
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
1 participant
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.
jax 0.9.2 added a FutureWarning when jax.scipy.linalg.solve is given an identity matrix as the RHS to compute a full inverse, since it hits an ambiguous batched-solve path internal to cho_solve. Both call sites in crlb.py were only ever using solve() this way to get a matrix inverse, so switch them to jnp.linalg.inv directly.
Also cap numpy<2.5 in the dependency specs: gdal_calc.py (used via _average_or_rename) still relies on an in-place ndarray.shape assignment that numpy 2.5 deprecated. The fix landed upstream (OSGeo/gdal#15127) but hasn't shipped in a GDAL release yet, so pin around it until it does.
Since this repo's filterwarnings = ["error"] promotes both warnings to hard failures, they were taking down ~54 tests across the CRLB and GDAL-averaging code paths.