Bump scipy from 1.15.2 to 1.16.0

[dependabot]

Bumps scipy from 1.15.2 to 1.16.0.

Release notes

Sourced from scipy's releases.

SciPy 1.16.0 Release Notes

SciPy 1.16.0 is the culmination of 6 months of hard work. It contains many new features, numerous bug-fixes, improved test coverage and better documentation. There have been a number of deprecations and API changes in this release, which are documented below. All users are encouraged to upgrade to this release, as there are a large number of bug-fixes and optimizations. Before upgrading, we recommend that users check that their own code does not use deprecated SciPy functionality (to do so, run your code with python -Wd and check for DeprecationWarning s). Our development attention will now shift to bug-fix releases on the 1.16.x branch, and on adding new features on the main branch.

This release requires Python 3.11-3.13 and NumPy 1.25.2 or greater.

Highlights of this release

• Improved experimental support for the Python array API standard, including new support in scipy.signal, and additional support in scipy.stats and scipy.special. Improved support for JAX and Dask backends has been added, with notable support in scipy.cluster.hierarchy, many functions in scipy.special, and many of the trimmed statistics functions.
• scipy.optimize now uses the new Python implementation from the PRIMA package for COBYLA. The PRIMA implementation fixes many bugs in the old Fortran 77 implementation with a better performance on average.
• scipy.sparse.coo_array now supports n-D arrays with reshaping, arithmetic and reduction operations like sum/mean/min/max. No n-D indexing or scipy.sparse.random_array support yet.
• Updated guide and tools for migration from sparse matrices to sparse arrays.
• Nearly all functions in the scipy.linalg namespace that accept array arguments now support N-dimensional arrays to be processed as a batch.
• Two new scipy.signal functions, scipy.signal.firwin_2d and scipy.signal.closest_STFT_dual_window, for creation of a 2-D FIR filter and scipy.signal.ShortTimeFFT dual window calculation, respectively.
• A new class, scipy.spatial.transform.RigidTransform, provides functionality to convert between different representations of rigid transforms in 3-D space.
• A new function scipy.ndimage.vectorized_filter for generic filters that take advantage of a vectorized Python callable was added.

New features

scipy.io improvements

• scipy.io.savemat now provides informative warnings for invalid field names.
• scipy.io.mmread now provides a clearer error message when provided with

... (truncated)

Commits

• 4d3dcc1 REL: 1.16.0 release commit [wheel build]
• dd940aa Merge pull request #23188 from tylerjereddy/treddy_1.16.0_extra_backports
• 9abcc1d CI: PR 23188 revisions [wheel build]
• 8edbcbc Revert "CI: PR 23188 revisions"
• d41aa3a CI: PR 23188 revisions
• a1f7a15 TST, MAINT: PR 23188 revisions
• 921335e Revert "CI, MAINT: PR 23188 revisions"
• b8f1f7f DOC: PR 23188 revisions
• dc4bdd7 MAINT, TST: NumPy stride deprecation shim
• 5a1775f CI, MAINT: PR 23188 revisions
• Additional commits viewable in compare view

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