Update scipy requirement from <=1.14.1,>=1.7.0 to >=1.7.0,<=1.15.0

[dependabot]

Updates the requirements on scipy to permit the latest version.

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

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[github-actions]

|             benchmark_name             |         dt(%)          |         dt(s)          |        t_new(s)        |        t_old(s)        | 
| -------------------------------------- | ---------------------- | ---------------------- | ---------------------- | ---------------------- |
 test_build_transform_fft_lowres         |     +5.77 +/- 6.73     | +3.04e-02 +/- 3.54e-02 |  5.56e-01 +/- 3.1e-02  |  5.26e-01 +/- 1.6e-02  |
 test_equilibrium_init_medres            |     +5.01 +/- 5.44     | +2.15e-01 +/- 2.34e-01 |  4.51e+00 +/- 1.2e-01  |  4.29e+00 +/- 2.0e-01  |
 test_equilibrium_init_highres           |     +7.66 +/- 3.59     | +4.19e-01 +/- 1.96e-01 |  5.89e+00 +/- 1.7e-01  |  5.47e+00 +/- 9.9e-02  |
 test_objective_compile_dshape_current   |     +2.90 +/- 3.33     | +1.15e-01 +/- 1.32e-01 |  4.09e+00 +/- 1.2e-01  |  3.98e+00 +/- 4.6e-02  |
 test_objective_compute_dshape_current   |     +0.09 +/- 1.21     | +4.58e-06 +/- 6.27e-05 |  5.20e-03 +/- 4.4e-05  |  5.20e-03 +/- 4.5e-05  |
 test_objective_jac_dshape_current       |     -0.92 +/- 5.54     | -4.11e-04 +/- 2.48e-03 |  4.44e-02 +/- 8.1e-04  |  4.48e-02 +/- 2.3e-03  |
 test_perturb_2                          |     +4.32 +/- 1.77     | +8.55e-01 +/- 3.50e-01 |  2.06e+01 +/- 1.7e-01  |  1.98e+01 +/- 3.1e-01  |
 test_proximal_freeb_jac                 |     +1.79 +/- 1.80     | +1.34e-01 +/- 1.34e-01 |  7.60e+00 +/- 1.2e-01  |  7.47e+00 +/- 6.5e-02  |
 test_solve_fixed_iter                   |     +0.37 +/- 2.29     | +1.24e-01 +/- 7.71e-01 |  3.37e+01 +/- 4.9e-01  |  3.36e+01 +/- 5.9e-01  |
 test_LinearConstraintProjection_build   |     -4.47 +/- 3.94     | -4.96e-01 +/- 4.37e-01 |  1.06e+01 +/- 3.8e-01  |  1.11e+01 +/- 2.1e-01  |
 test_build_transform_fft_midres         |     +1.91 +/- 3.21     | +1.21e-02 +/- 2.04e-02 |  6.47e-01 +/- 2.0e-02  |  6.35e-01 +/- 5.3e-03  |
 test_build_transform_fft_highres        |     -1.22 +/- 2.48     | -1.23e-02 +/- 2.50e-02 |  9.97e-01 +/- 1.7e-02  |  1.01e+00 +/- 1.8e-02  |
 test_equilibrium_init_lowres            |     -1.94 +/- 7.46     | -8.13e-02 +/- 3.12e-01 |  4.10e+00 +/- 2.4e-01  |  4.19e+00 +/- 2.0e-01  |
 test_objective_compile_atf              |     -0.89 +/- 1.77     | -7.38e-02 +/- 1.46e-01 |  8.19e+00 +/- 1.2e-01  |  8.26e+00 +/- 8.5e-02  |
 test_objective_compute_atf              |     -1.52 +/- 4.86     | -2.47e-04 +/- 7.91e-04 |  1.60e-02 +/- 3.9e-04  |  1.63e-02 +/- 6.9e-04  |
 test_objective_jac_atf                  |     -0.20 +/- 1.69     | -3.97e-03 +/- 3.33e-02 |  1.96e+00 +/- 2.4e-02  |  1.97e+00 +/- 2.3e-02  |
 test_perturb_1                          |     -0.21 +/- 2.03     | -3.22e-02 +/- 3.14e-01 |  1.54e+01 +/- 2.3e-01  |  1.55e+01 +/- 2.1e-01  |
 test_proximal_jac_atf                   |     +0.54 +/- 0.86     | +4.44e-02 +/- 7.11e-02 |  8.32e+00 +/- 4.9e-02  |  8.27e+00 +/- 5.1e-02  |
 test_proximal_freeb_compute             |     +0.16 +/- 0.72     | +3.14e-04 +/- 1.46e-03 |  2.02e-01 +/- 9.4e-04  |  2.02e-01 +/- 1.1e-03  |
 test_solve_fixed_iter_compiled          |     +1.09 +/- 1.95     | +2.28e-01 +/- 4.08e-01 |  2.11e+01 +/- 3.1e-01  |  2.09e+01 +/- 2.7e-01  |

[dpanici]

test compute everything fails with differences ranging from 1e-9 to 1e-10, and scipy 1.15.0 seems to be the main package change here. We could reduce the rtol even further but I dont understand where we use scipy that is affecting the down-wind computations of J, F etc. This is using eq.get_examples("W7-X") for the equilibrium so it is not like a new eq solve was performed.

[dpanici]

check mu0

[dpanici]

mu_0 indeed changed from 1.256 637 062 12 e-6 to 1.256 637 061 27 e-6 which is a change of ~1e-15 which means when multiplied by the large values like MA of current can yield absolute changes on the order of ~1e-9 which is what we are seeing.

Question is, this would mean that this test fails just based off of which scipy version is being used... I don't really like that. we also sometimes in the code use 4pi e-7 instead of mu_0 I am pretty sure, which is sort of inconsistent if we use mu_0 elsewhere sometimes

[f0uriest]

mu_0 indeed changed from 1.256 637 062 12 e-6 to 1.256 637 061 27 e-6 which is a change of ~1e-15 which means when multiplied by the large values like MA of current can yield absolute changes on the order of ~1e-9 which is what we are seeing.

Question is, this would mean that this test fails just based off of which scipy version is being used... I don't really like that. we also sometimes in the code use 4pi e-7 instead of mu_0 I am pretty sure, which is sort of inconsistent if we use mu_0 elsewhere sometimes

I think we should probably just be loosening tolerances so that it passes if its that sensitive. I thought we did this previously when dealing with zero current cases?

Also we probably shouldn't be using 4pi*1e-7, since they redefined the SI base units in 2019 so mu0 is now an experimentally measured qty not a fixed constant.

[dependabot]

A newer version of scipy exists, but since this PR has been edited by someone other than Dependabot I haven't updated it. You'll get a PR for the updated version as normal once this PR is merged.

[dpanici]

@dpanici update test tolerances