Bump scipy from 1.12.0 to 1.14.0

[dependabot]

Bumps scipy from 1.12.0 to 1.14.0.

Release notes

Sourced from scipy's releases.

SciPy 1.14.0 Release Notes

SciPy 1.14.0 is the culmination of 3 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 1.14.x branch, and on adding new features on the main branch.

This release requires Python 3.10+ and NumPy 1.23.5 or greater.

For running on PyPy, PyPy3 6.0+ is required.

Highlights of this release

• SciPy now supports the new Accelerate library introduced in macOS 13.3, and has wheels built against Accelerate for macOS >=14 resulting in significant performance improvements for many linear algebra operations.
• A new method, cobyqa, has been added to scipy.optimize.minimize - this is an interface for COBYQA (Constrained Optimization BY Quadratic Approximations), a derivative-free optimization solver, designed to supersede COBYLA, developed by the Department of Applied Mathematics, The Hong Kong Polytechnic University.
• scipy.sparse.linalg.spsolve_triangular is now more than an order of magnitude faster in many cases.

New features

scipy.fft improvements

• A new function, scipy.fft.prev_fast_len, has been added. This function finds the largest composite of FFT radices that is less than the target length. It is useful for discarding a minimal number of samples before FFT.

scipy.io improvements

• wavfile now supports reading and writing of wav files in the RF64 format, allowing files greater than 4 GB in size to be handled.

scipy.constants improvements

• Experimental support for the array API standard has been added.

... (truncated)

Commits

• 87c4664 REL: SciPy 1.14.0 rel commit [wheel build]
• ac63c81 Merge pull request #21019 from tylerjereddy/treddy_1.14.0_final_backports
• 541003f DOC: update 1.14 relnotes [wheel build]
• a08d1ff MAINT: stats.gstd: warn when an observation is <= 0
• a4f7119 DEP: special.perm: deprecate non-integer N and k with exact=True (#20909)
• 73339fb TST: stats: fix use of np.testing to compare xp-arrays
• 0542df6 DOC: Update 1.14.0 release notes
• f8e530c STY: _lib._util: silence mypy
• e2cbda2 TST:sparse.linalg: Skip test due to sensitivity to numerical noise
• 4fb2e6a TST: robustify test_nnls_inner_loop_case1
• Additional commits viewable in compare view

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[banesullivan]

    Traceback (most recent call last):
      File "/home/runner/work/pyvista-tutorial/pyvista-tutorial/tutorial/03_figures/a_lesson_figures.py", line 71, in <module>
        p.add_floor('-z', lighting=True, color='tan', pad=1.0)
      File "/home/runner/.virtualenvs/.venv/lib/python3.10/site-packages/pyvista/plotting/plotter.py", line 988, in add_floor
        return self.renderer.add_floor(*args, **kwargs)
      File "/home/runner/.virtualenvs/.venv/lib/python3.10/site-packages/pyvista/plotting/renderer.py", line 1901, in add_floor
        ranges = np.array(self.bounds).reshape(-1, 2).ptp(axis=1)
    AttributeError: `ptp` was removed from the ndarray class in NumPy 2.0. Use np.ptp(arr, ...) instead.

Looks like an upstream issue in pyvista

[banesullivan]

Hm this should have been fixed by pyvista/pyvista#5496 in PyVista v0.44. Is pyvista not pinned to 0.44 here?

[banesullivan]

@dependabot rebase

[dependabot]

Looks like this PR has been edited by someone other than Dependabot. That means Dependabot can't rebase it - sorry!

If you're happy for Dependabot to recreate it from scratch, overwriting any edits, you can request @dependabot recreate.

[banesullivan]

@dependabot recreate