
-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA256 Hi all, On behalf of the SciPy development team I'm pleased to announce the release of SciPy 1.2.3, which is a bug fix release. This is part of the long-term support (LTS) branch that includes Python 2.7. Sources and binary wheels can be found at: https://pypi.org/project/scipy/ and at: https://github.com/scipy/scipy/releases/tag/v1.2.3 One of a few ways to install this release with pip: pip install scipy==1.2.3 ========================== SciPy 1.2.3 Release Notes ========================== SciPy 1.2.3 is a bug-fix release with no new features compared to 1.2.2. It is part of the long-term support (LTS) release series for Python 2.7. Authors ======= * Geordie McBain * Matt Haberland * David Hagen * Tyler Reddy * Pauli Virtanen * Eric Larson * Yu Feng * ananyashreyjain * Nikolay Mayorov * Evgeni Burovski * Warren Weckesser Issues closed for 1.2.3 -------------------------------- * `#4915 <https://github.com/scipy/scipy/issues/4915>`__: Bug in unique_roots in scipy.signal.signaltools.py for roots with same magnitude * `#5546 <https://github.com/scipy/scipy/issues/5546>`__: ValueError raised if scipy.sparse.linalg.expm recieves array larger than 200x200 * `#7117 <https://github.com/scipy/scipy/issues/7117>`__: Warn users when using float32 input data to curve_fit and friends * `#7906 <https://github.com/scipy/scipy/issues/7906>`__: Wrong result from scipy.interpolate.UnivariateSpline.integral for out-of-bounds * `#9581 <https://github.com/scipy/scipy/issues/9581>`__: Least-squares minimization fails silently when x and y data are different types * `#9901 <https://github.com/scipy/scipy/issues/9901>`__: lsoda fails to detect stiff problem when called from solve_ivp * `#9988 <https://github.com/scipy/scipy/issues/9988>`__: doc build broken with Sphinx 2.0.0 * `#10303 <https://github.com/scipy/scipy/issues/10303>`__: BUG: optimize: `linprog` failing TestLinprogSimplexBland::test_unbounded_below_no_presolve_corrected * `#10376 <https://github.com/scipy/scipy/issues/10376>`__: TST: Travis CI fails (with pytest 5.0 ?) * `#10384 <https://github.com/scipy/scipy/issues/10384>`__: CircleCI doc build failing on new warnings * `#10535 <https://github.com/scipy/scipy/issues/10535>`__: TST: master branch CI failures * `#11121 <https://github.com/scipy/scipy/issues/11121>`__: Calls to `scipy.interpolate.splprep` increase RAM usage. * `#11198 <https://github.com/scipy/scipy/issues/11198>`__: BUG: sparse eigs (arpack) shift-invert drops the smallest eigenvalue for some k * `#11266 <https://github.com/scipy/scipy/issues/11266>`__: Sparse matrix constructor data type detection changes on Numpy 1.18.0 Pull requests for 1.2.3 -------------------------------- * `#9992 <https://github.com/scipy/scipy/pull/9992>`__: MAINT: Undo Sphinx pin * `#10071 <https://github.com/scipy/scipy/pull/10071>`__: DOC: reconstruct SuperLU permutation matrices avoiding SparseEfficiencyWarning * `#10076 <https://github.com/scipy/scipy/pull/10076>`__: BUG: optimize: fix curve_fit for mixed float32/float64 input * `#10138 <https://github.com/scipy/scipy/pull/10138>`__: BUG: special: Invalid arguments to ellip_harm can crash Python. * `#10306 <https://github.com/scipy/scipy/pull/10306>`__: BUG: optimize: Fix for 10303 * `#10309 <https://github.com/scipy/scipy/pull/10309>`__: BUG: Pass jac=None directly to lsoda * `#10377 <https://github.com/scipy/scipy/pull/10377>`__: TST, MAINT: adjustments for pytest 5.0 * `#10379 <https://github.com/scipy/scipy/pull/10379>`__: BUG: sparse: set writeability to be forward-compatible with numpy>=1.17 * `#10426 <https://github.com/scipy/scipy/pull/10426>`__: MAINT: Fix doc build bugs * `#10540 <https://github.com/scipy/scipy/pull/10540>`__: MAINT: Fix Travis and Circle * `#10633 <https://github.com/scipy/scipy/pull/10633>`__: BUG: interpolate: integral(a, b) should be zero when both limits are outside of the interpolation range * `#10833 <https://github.com/scipy/scipy/pull/10833>`__: BUG: Fix subspace_angles for complex values * `#10882 <https://github.com/scipy/scipy/pull/10882>`__: BUG: sparse/arpack: fix incorrect code for complex hermitian M * `#10906 <https://github.com/scipy/scipy/pull/10906>`__: BUG: sparse/linalg: fix expm for np.matrix inputs * `#10961 <https://github.com/scipy/scipy/pull/10961>`__: BUG: Fix signal.unique_roots * `#11126 <https://github.com/scipy/scipy/pull/11126>`__: BUG: interpolate/fitpack: fix memory leak in splprep * `#11199 <https://github.com/scipy/scipy/pull/11199>`__: BUG: sparse.linalg: mistake in unsymm. real shift-invert ARPACK eigenvalue selection * `#11269 <https://github.com/scipy/scipy/pull/11269>`__: Fix: Sparse matrix 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participants (1)
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Tyler Reddy