Bump scipy from 1.16.3 to 1.17.0

[dependabot]

Bumps scipy from 1.16.3 to 1.17.0.

Release notes

Sourced from scipy's releases.

SciPy 1.17.0 Release Notes

SciPy 1.17.0 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 1.17.x branch, and on adding new features on the main branch.

This release requires Python 3.11-3.14 and NumPy 1.26.4 or greater.

Highlights of this release

• Many SciPy functions have gained native support for batching of N-dimensional array input and additional support for the array API standard. An overall summary of the latter is now available in a set of tables.
• In scipy.sparse, coo_array now supports indexing. This includes integers, slices, arrays, np.newaxis, Ellipsis, in 1D, 2D and the relatively new nD. In scipy.sparse.linalg, ARPACK and PROPACK rewrites from Fortran77 to C now empower the use of external pseudorandom number generators, e.g. from numpy.
• In scipy.spatial, transform.Rotation and transform.RigidTransform have been extended to support N-D arrays. geometric_slerp now has support for extrapolation.
• scipy.stats has gained the matrix t and logistic distributions and many performance and accuracy improvements.
• Initial support for 64-bit integer (ILP64) BLAS and LAPACK libraries has been added, including for MKL and Apple Accelerate. Please report any issues with ILP64 you encounter.

New features

scipy.integrate improvements

• The integration routines dopri5, dopri853, LSODA, vode, and zvode have been ported from Fortran77 to C.
• scipy.integrate.quad now has a fast path for returning 0 when the integration interval is empty.
• The BDF, DOP853, RK23, RK45, OdeSolver, DenseOutput, ode, and complex_ode classes now support subscription, making them generic types, for compatibility with scipy-stubs.

... (truncated)

Commits

• 8c75ae7 REL: 1.17.0 "final" release commit [wheel build]
• 9d7f110 Merge pull request #24298 from tylerjereddy/treddy_prep_1.17.0_final
• 94373b6 MAINT: test wheels [wheel build]
• 723f4e2 DOC: update 1.17.0 relnotes
• bf042f0 CI: ensure we use pinned scipy-openblas version also in ILP64 job
• 3e00a04 CI: fix issue with ILP64 job; point to fixed numpy/meson commit
• 39bceab BUG: stats: fix va_args memory corruption bug
• 8f56387 DOC: update 1.17.0 release notes
• c50e9c0 Merge pull request #24304 from ev-br/edit_relnotes_for_ILP64
• b204495 DOC: clarify ILP64 support caveats in the release notes, remove mentions of O...
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[codecov]

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 96.98%. Comparing base (7ba69cf) to head (a506b1b).
⚠️ Report is 2 commits behind head on main.

Additional details and impacted files

@@           Coverage Diff           @@
##             main     #647   +/-   ##
=======================================
  Coverage   96.98%   96.98%           
=======================================
  Files          42       42           
  Lines        1094     1094           
=======================================
  Hits         1061     1061           
  Misses         33       33           

Flag	Coverage Δ
unittests	96.98% <ø> (ø)

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