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: Bug in unique_roots in scipy.signal.signaltools.py for roots with same magnitude

  • #5546: ValueError raised if scipy.sparse.linalg.expm recieves array larger than 200x200

  • #7117: Warn users when using float32 input data to curve_fit and friends

  • #7906: Wrong result from scipy.interpolate.UnivariateSpline.integral for out-of-bounds

  • #9581: Least-squares minimization fails silently when x and y data are different types

  • #9901: lsoda fails to detect stiff problem when called from solve_ivp

  • #9988: doc build broken with Sphinx 2.0.0

  • #10303: BUG: optimize: linprog failing TestLinprogSimplexBland::test_unbounded_below_no_presolve_corrected

  • #10376: TST: Travis CI fails (with pytest 5.0 ?)

  • #10384: CircleCI doc build failing on new warnings

  • #10535: TST: master branch CI failures

  • #11121: Calls to scipy.interpolate.splprep increase RAM usage.

  • #11198: BUG: sparse eigs (arpack) shift-invert drops the smallest eigenvalue for some k

  • #11266: Sparse matrix constructor data type detection changes on Numpy 1.18.0

Pull requests for 1.2.3#

  • #9992: MAINT: Undo Sphinx pin

  • #10071: DOC: reconstruct SuperLU permutation matrices avoiding SparseEfficiencyWarning

  • #10076: BUG: optimize: fix curve_fit for mixed float32/float64 input

  • #10138: BUG: special: Invalid arguments to ellip_harm can crash Python.

  • #10306: BUG: optimize: Fix for 10303

  • #10309: BUG: Pass jac=None directly to lsoda

  • #10377: TST, MAINT: adjustments for pytest 5.0

  • #10379: BUG: sparse: set writeability to be forward-compatible with numpy>=1.17

  • #10426: MAINT: Fix doc build bugs

  • #10540: MAINT: Fix Travis and Circle

  • #10633: BUG: interpolate: integral(a, b) should be zero when both limits are outside of the interpolation range

  • #10833: BUG: Fix subspace_angles for complex values

  • #10882: BUG: sparse/arpack: fix incorrect code for complex hermitian M

  • #10906: BUG: sparse/linalg: fix expm for np.matrix inputs

  • #10961: BUG: Fix signal.unique_roots

  • #11126: BUG: interpolate/fitpack: fix memory leak in splprep

  • #11199: BUG: sparse.linalg: mistake in unsymm. real shift-invert ARPACK eigenvalue selection

  • #11269: Fix: Sparse matrix constructor data type detection changes on Numpy 1.18.0

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