Bump scipy from 1.14.1 to 1.15.0

[dependabot]

Bumps scipy from 1.14.1 to 1.15.0.

Release notes

Sourced from scipy's releases.

SciPy 1.15.0 Release Notes

SciPy 1.15.0 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 1.15.x branch, and on adding new features on the main branch.

This release requires Python 3.10-3.13 and NumPy 1.23.5 or greater.

Highlights of this release

• Sparse arrays are now fully functional for 1-D and 2-D arrays. We recommend that all new code use sparse arrays instead of sparse matrices and that developers start to migrate their existing code from sparse matrix to sparse array: migration_to_sparray. Both sparse.linalg and sparse.csgraph work with either sparse matrix or sparse array and work internally with sparse array.

• Sparse arrays now provide basic support for n-D arrays in the COO format including add, subtract, reshape, transpose, matmul, dot, tensordot and others. More functionality is coming in future releases.

• Preliminary support for free-threaded Python 3.13.

• New probability distribution features in scipy.stats can be used to improve the speed and accuracy of existing continuous distributions and perform new probability calculations.

• Several new features support vectorized calculations with Python Array API Standard compatible input (see "Array API Standard Support" below):

  • scipy.differentiate is a new top-level submodule for accurate estimation of derivatives of black box functions.
  • scipy.optimize.elementwise contains new functions for root-finding and minimization of univariate functions.
  • scipy.integrate offers new functions cubature, tanhsinh, and nsum for multivariate integration, univariate integration, and univariate series summation, respectively.

• scipy.interpolate.AAA adds the AAA algorithm for barycentric rational approximation of real or complex functions.

• scipy.special adds new functions offering improved Legendre function implementations with a more consistent interface.

... (truncated)

Commits

• 6e246d0 REL: 1.15.0 "final" rel commit [wheel build]
• ed7c850 Merge pull request #22233 from tylerjereddy/treddy_backports_1.15.0_final
• 2e2f2cd MAINT: PR 22233 wheel build [wheel build]
• f05c622 DOC: Update 1.15.0 relnotes
• 7348d92 Update scipy/differentiate/_differentiate.py
• 56b1f7e DOC: differentiate.jacobian: correct/improve documentation about callable int...
• 30077e7 DEP: linalg.solve_toeplitz/matmul_toeplitz: warn on n-D c, r (#22193)
• 256c1a2 Merge pull request #22181 from tylerjereddy/treddy_prep_scipy_1.15.0rc3
• f046276 REL: set 1.15.0rc3 unreleased
• a3d40a8 REL: 1.15.0rc2 rel commit [wheel build]
• Additional commits viewable in compare view

Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting @dependabot rebase.

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[coveralls]

Pull Request Test Coverage Report for Build 12679386680

Details

• 0 of 0 changed or added relevant lines in 0 files are covered.
• No unchanged relevant lines lost coverage.
• Overall coverage remained the same at 70.904%

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Totals
Change from base Build 12677746860:	0.0%
Covered Lines:	10693
Relevant Lines:	15081

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💛 - Coveralls

[jan-janssen]

@dependabot rebase

[jan-janssen]

======================================================================
FAIL: test_get_scf_group (sphinx.test_base.TestSphinx.test_get_scf_group)
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/home/runner/work/pyiron_atomistics/pyiron_atomistics/tests/sphinx/test_base.py", line 366, in test_get_scf_group
    self.assertEqual(test_scf, ref_scf)
AssertionError: Group({'rhoMixing': '1.0', 'spinMixing': [160 chars][])}) != {'rhoMixing': '1.0', 'spinMixing': '1.0',[138 chars]: {}}

----------------------------------------------------------------------

[jan-janssen]

@samwaseda The success of sphinx tests seems to depend on the scipy version. Does this make sense to you?

[samwaseda]

@samwaseda The success of sphinx tests seems to depend on the scipy version. Does this make sense to you?

No it doesn't.

[jan-janssen]

@samwaseda The success of sphinx tests seems to depend on the scipy version. Does this make sense to you?

No it doesn't.

Maybe they changed one of the physical constants for the conversion from Angstrom to Bohr or from Hartree to electron volt.

[samwaseda]

Maybe they changed one of the physical constants for the conversion from Angstrom to Bohr or from Hartree to electron volt.

oh good point. I'm gonna take a look

[jan-janssen]

Maybe they changed one of the physical constants for the conversion from Angstrom to Bohr or from Hartree to electron volt.

oh good point. I'm gonna take a look

The issue was related to an update of the constants in scipy scipy/scipy#11341

[samwaseda]

The issue was related to an update of the constants in scipy scipy/scipy#11341

Thanks for taking care of it. In the next version of the Sphinx parser, which is not in service in pyiron_atomistics yet, we will probably try to put automatic unit conversion, so this problem shouldn't happen anymore afterwards.