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