[Numpy-discussion] ANN: SciPy 1.2.3 (LTS)

Tyler Reddy tyler.je.reddy at gmail.com
Tue Jan 21 12:53:40 EST 2020


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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 constructor data type detection changes on Numpy 1.18.0



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