Update scipy requirement from <=1.15.3,>=1.7.0 to >=1.7.0,<=1.17.0

[dependabot]

Updates the requirements on scipy to permit the latest version.

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...
• Additional commits viewable in compare view

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[github-actions]

Memory benchmark result

|               Test Name                |      %Δ      |    Master (MB)     |      PR (MB)       |    Δ (MB)    |    Time PR (s)     |  Time Master (s)   |
| -------------------------------------- | ------------ | ------------------ | ------------------ | ------------ | ------------------ | ------------------ |
  test_objective_jac_w7x                 |    0.05 %    |     4.030e+03      |     4.032e+03      |     1.88     |       37.74        |       35.83        |
  test_proximal_jac_w7x_with_eq_update   |    3.00 %    |     6.444e+03      |     6.638e+03      |    193.38    |       159.57       |       160.16       |
  test_proximal_freeb_jac                |    0.10 %    |     1.320e+04      |     1.321e+04      |    13.70     |       84.69        |       82.79        |
  test_proximal_freeb_jac_blocked        |    1.41 %    |     7.422e+03      |     7.526e+03      |    104.50    |       72.34        |       71.64        |
  test_proximal_freeb_jac_batched        |    0.96 %    |     7.473e+03      |     7.545e+03      |    71.73     |       71.95        |       71.95        |
  test_proximal_jac_ripple               |    2.98 %    |     3.523e+03      |     3.628e+03      |    104.87    |       64.65        |       64.75        |
  test_proximal_jac_ripple_bounce1d      |   -2.84 %    |     3.638e+03      |     3.535e+03      |   -103.40    |       75.40        |       76.70        |
  test_eq_solve                          |   -1.63 %    |     2.008e+03      |     1.976e+03      |    -32.69    |       93.19        |       93.41        |

For the memory plots, go to the summary of Memory Benchmarks workflow and download the artifact.

[dpanici]

Fix for this is in #2079

[YigitElma]

This PR is unnecessary since #2079 updates it with proper fixes

[dependabot]

OK, I won't notify you again about this release, but will get in touch when a new version is available. If you'd rather skip all updates until the next major or minor version, let me know by commenting @dependabot ignore this major version or @dependabot ignore this minor version. You can also ignore all major, minor, or patch releases for a dependency by adding an ignore condition with the desired update_types to your config file.

If you change your mind, just re-open this PR and I'll resolve any conflicts on it.