Congratulations on your first release. May there be many more :)

Chuck

On Mon, Nov 26, 2018 at 11:48 AM Tyler Reddy tyler.je.reddy@gmail.com wrote:

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA256

Hi all,

On behalf of the SciPy development team I'm pleased to announce the release candidate SciPy 1.2.0rc1. Please help us test out this release candidate -- the 1.2.x series will be an LTS release and the last to support Python 2.7.

Sources and binary wheels can be found at: https://pypi.python.org/pypi/scipy and at: https://github.com/scipy/scipy/releases/tag/v1.2.0rc1

To install the release candidate with pip:

pip install scipy==1.2.0rc1

========================== SciPy 1.2.0 Release Notes ==========================

Note: Scipy 1.2.0 is not released yet!

SciPy 1.2.0 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 1.2.x branch, and on adding new features on the master branch.

This release requires Python 2.7 or 3.4+ and NumPy 1.8.2 or greater.

Note: This will be the last SciPy release to support Python 2.7. Consequently, the 1.2.x series will be a long term support (LTS) release; we will backport bug fixes until 1 Jan 2020.

For running on PyPy, PyPy3 6.0+ and NumPy 1.15.0 are required.

Highlights of this release

• • 1-D root finding improvements with a new solver, ``toms748``, and a new
  unified interface, ``root_scalar``
• • New ``dual_annealing`` optimization method that combines stochastic and
  local deterministic searching
• • A new optimization algorithm, ``shgo`` (simplicial homology
  global optimization) for derivative free optimization problems
• • A new category of quaternion-based transformations are available in

`scipy.spatial.transform`

New features

`scipy.ndimage` improvements

---

Proper spline coefficient calculations have been added for the ``mirror``, ``wrap``, and ``reflect`` modes of `scipy.ndimage.rotate`

`scipy.fftpack` improvements

---

DCT-IV, DST-IV, DCT-I, and DST-I orthonormalization are now supported in `scipy.fftpack`.

`scipy.interpolate` improvements

---

`scipy.interpolate.pade` now accepts a new argument for the order of the numerator

`scipy.cluster` improvements

---

`scipy.cluster.vq.kmeans2` gained a new initialization method, kmeans++.

`scipy.special` improvements

---

The function ``softmax`` was added to `scipy.special`.

`scipy.optimize` improvements

---

The one-dimensional nonlinear solvers have been given a unified interface `scipy.optimize.root_scalar`, similar to the `scipy.optimize.root` interface for multi-dimensional solvers. ``scipy.optimize.root_scalar(f, bracket=[a ,b], method="brenth")`` is equivalent to ``scipy.optimize.brenth(f, a ,b)``. If no ``method`` is specified, an appropriate one will be selected based upon the bracket and the number of derivatives available.

The so-called Algorithm 748 of Alefeld, Potra and Shi for root-finding within an enclosing interval has been added as `scipy.optimize.toms748`. This provides guaranteed convergence to a root with convergence rate per function evaluation of approximately 1.65 (for sufficiently well-behaved functions.)

``differential_evolution`` now has the ``updating`` and ``workers`` keywords. The first chooses between continuous updating of the best solution vector (the default), or once per generation. Continuous updating can lead to faster convergence. The ``workers`` keyword accepts an ``int`` or map-like callable, and parallelises the solver (having the side effect of updating once per generation). Supplying an ``int`` evaluates the trial solutions in N parallel parts. Supplying a map-like callable allows other parallelisation approaches (such as ``mpi4py``, or ``joblib``) to be used.

``dual_annealing`` (and ``shgo`` below) is a powerful new general purpose global optizimation (GO) algorithm. ``dual_annealing`` uses two annealing processes to accelerate the convergence towards the global minimum of an objective mathematical function. The first annealing process controls the stochastic Markov chain searching and the second annealing process controls the deterministic minimization. So, dual annealing is a hybrid method that takes advantage of stochastic and local deterministic searching in an efficient way.

``shgo`` (simplicial homology global optimization) is a similar algorithm appropriate for solving black box and derivative free optimization (DFO) problems. The algorithm generally converges to the global solution in finite time. The convergence holds for non-linear inequality and equality constraints. In addition to returning a global minimum, the algorithm also returns any other global and local minima found after every iteration. This makes it useful for exploring the solutions in a domain.

`scipy.optimize.newton` can now accept a scalar or an array

``MINPACK`` usage is now thread-safe, such that ``MINPACK`` + callbacks may be used on multiple threads.

`scipy.signal` improvements

---

Digital filter design functions now include a parameter to specify the sampling rate. Previously, digital filters could only be specified using normalized frequency, but different functions used different scales (e.g. 0 to 1 for ``butter`` vs 0 to π for ``freqz``), leading to errors and confusion. With the ``fs`` parameter, ordinary frequencies can now be entered directly into functions, with the normalization handled internally.

``find_peaks`` and related functions no longer raise an exception if the properties of a peak have unexpected values (e.g. a prominence of 0). A ``PeakPropertyWarning`` is given instead.

The new keyword argument ``plateau_size`` was added to ``find_peaks``. ``plateau_size`` may be used to select peaks based on the length of the flat top of a peak.

``welch()`` and ``csd()`` methods in `scipy.signal` now support calculation of a median average PSD, using ``average='mean'`` keyword

`scipy.sparse` improvements

---

The `scipy.sparse.bsr_matrix.tocsr` method is now implemented directly instead of converting via COO format, and the `scipy.sparse.bsr_matrix.tocsc` method is now also routed via CSR conversion instead of COO. The efficiency of both conversions is now improved.

The issue where SuperLU or UMFPACK solvers crashed on matrices with non-canonical format in `scipy.sparse.linalg` was fixed. The solver wrapper canonicalizes the matrix if necessary before calling the SuperLU or UMFPACK solver.

The ``largest`` option of `scipy.sparse.linalg.lobpcg()` was fixed to have a correct (and expected) behavior. The order of the eigenvalues was made consistent with the ARPACK solver (``eigs()``), i.e. ascending for the smallest eigenvalues, and descending for the largest eigenvalues.

The `scipy.sparse.random` function is now faster and also supports integer and complex values by passing the appropriate value to the ``dtype`` argument.

`scipy.spatial` improvements

---

The function `scipy.spatial.distance.jaccard` was modified to return 0 instead of ``np.nan`` when two all-zero vectors are compared.

Support for the Jensen Shannon distance, the square-root of the divergence, has been added under `scipy.spatial.distance.jensenshannon`

An optional keyword was added to the function `scipy.spatial.cKDTree.query_ball_point()` to sort or not sort the returned indices. Not sorting the indices can speed up calls.

A new category of quaternion-based transformations are available in `scipy.spatial.transform`, including spherical linear interpolation of rotations (``Slerp``), conversions to and from quaternions, Euler angles, and general rotation and inversion capabilities (`spatial.transform.Rotation`), and uniform random sampling of 3D rotations (`spatial.transform.Rotation.random`).

`scipy.stats` improvements

---

The Yeo-Johnson power transformation is now supported (``yeojohnson``, ``yeojohnson_llf``, ``yeojohnson_normmax``, ``yeojohnson_normplot``). Unlike the Box-Cox transformation, the Yeo-Johnson transformation can accept negative values.

Added a general method to sample random variates based on the density only, in the new function ``rvs_ratio_uniforms``.

The Yule-Simon distribution (``yulesimon``) was added -- this is a new discrete probability distribution.

``stats`` and ``mstats`` now have access to a new regression method, ``siegelslopes``, a robust linear regression algorithm

`scipy.stats.gaussian_kde` now has the ability to deal with weighted samples, and should have a modest improvement in performance

Levy Stable Parameter Estimation, PDF, and CDF calculations are now supported for `scipy.stats.levy_stable`.

The Brunner-Munzel test is now available as ``brunnermunzel`` in ``stats`` and ``mstats``

`scipy.linalg` improvements

---

`scipy.linalg.lapack` now exposes the LAPACK routines using the Rectangular Full Packed storage (RFP) for upper triangular, lower triangular, symmetric, or Hermitian matrices; the upper trapezoidal fat matrix RZ decomposition routines are now available as well.

Deprecated features

The functions ``hyp2f0``, ``hyp1f2`` and ``hyp3f0`` in ``scipy.special`` have been deprecated.

Backwards incompatible changes

LAPACK version 3.4.0 or later is now required. Building with Apple Accelerate is no longer supported.

The function ``scipy.linalg.subspace_angles(A, B)`` now gives correct results for all angles. Before this, the function only returned correct values for those angles which were greater than pi/4.

Support for the Bento build system has been removed. Bento has not been maintained for several years, and did not have good Python 3 or wheel support, hence it was time to remove it.

The required signature of `scipy.optimize.lingprog` ``method=simplex`` callback function has changed. Before iteration begins, the simplex solver first converts the problem into a standard form that does not, in general, have the same variables or constraints as the problem defined by the user. Previously, the simplex solver would pass a user-specified callback function several separate arguments, such as the current solution vector ``xk``, corresponding to this standard form problem. Unfortunately, the relationship between the standard form problem and the user-defined problem was not documented, limiting the utility of the information passed to the callback function.

In addition to numerous bug fix changes, the simplex solver now passes a user-specified callback function a single ``OptimizeResult`` object containing information that corresponds directly to the user-defined problem. In future releases, this ``OptimizeResult`` object may be expanded to include additional information, such as variables corresponding to the standard-form problem and information concerning the relationship between the standard-form and user-defined problems.

The implementation of `scipy.sparse.random` has changed, and this affects the numerical values returned for both ``sparse.random`` and ``sparse.rand`` for some matrix shapes and a given seed.

`scipy.optimize.newton` will no longer use Halley's method in cases where it negatively impacts convergence

Other changes

Authors

• @endolith
• @luzpaz
• Hameer Abbasi +
• akahard2dj +
• Anton Akhmerov
• Joseph Albert
• alexthomas93 +
• ashish +
• atpage +
• Blair Azzopardi +
• Yoshiki Vázquez Baeza
• Bence Bagi +
• Christoph Baumgarten
• Lucas Bellomo +
• BH4 +
• Aditya Bharti
• Max Bolingbroke
• François Boulogne
• Ward Bradt +
• Matthew Brett
• Evgeni Burovski
• Rafał Byczek +
• Alfredo Canziani +
• CJ Carey
• Lucía Cheung +
• Poom Chiarawongse +
• Jeanne Choo +
• Robert Cimrman
• Graham Clenaghan +
• cynthia-rempel +
• Johannes Damp +
• Jaime Fernandez del Rio
• Dowon +
• emmi474 +
• Stefan Endres +
• Thomas Etherington +
• Alex Fikl +
• fo40225 +
• Joseph Fox-Rabinovitz
• Lars G
• Abhinav Gautam +
• Stiaan Gerber +
• C.A.M. Gerlach +
• Ralf Gommers
• Todd Goodall
• Lars Grueter +
• Sylvain Gubian +
• Matt Haberland
• David Hagen
• Will Handley +
• Charles Harris
• Ian Henriksen
• Thomas Hisch +
• Theodore Hu
• Michael Hudson-Doyle +
• Nicolas Hug +
• jakirkham +
• Jakob Jakobson +
• James +
• Jan Schlüter
• jeanpauphilet +
• josephmernst +
• Kai +
• Kai-Striega +
• kalash04 +
• Toshiki Kataoka +
• Konrad0 +
• Tom Krauss +
• Johannes Kulick
• Lars Grüter +
• Eric Larson
• Denis Laxalde
• Will Lee +
• Katrin Leinweber +
• Yin Li +
• P. L. Lim +
• Jesse Livezey +
• Duncan Macleod +
• MatthewFlamm +
• Nikolay Mayorov
• Mike McClurg +
• Christian Meyer +
• Mark Mikofski
• Naoto Mizuno +
• mohmmadd +
• Nathan Musoke
• Anju Geetha Nair +
• Andrew Nelson
• Ayappan P +
• Nick Papior
• Haesun Park +
• Ronny Pfannschmidt +
• pijyoi +
• Ilhan Polat
• Anthony Polloreno +
• Ted Pudlik
• puenka
• Eric Quintero
• Pradeep Reddy Raamana +
• Vyas Ramasubramani +
• Ramon Viñas +
• Tyler Reddy
• Joscha Reimer
• Antonio H Ribeiro
• richardjgowers +
• Rob +
• robbystk +
• Lucas Roberts +
• rohan +
• Joaquin Derrac Rus +
• Josua Sassen +
• Bruce Sharpe +
• Max Shinn +
• Scott Sievert
• Sourav Singh
• Strahinja Lukić +
• Kai Striega +
• Shinya SUZUKI +
• Mike Toews +
• Piotr Uchwat
• Miguel de Val-Borro +
• Nicky van Foreest
• Paul van Mulbregt
• Gael Varoquaux
• Pauli Virtanen
• Stefan van der Walt
• Warren Weckesser
• Joshua Wharton +
• Bernhard M. Wiedemann +
• Eric Wieser
• Josh Wilson
• Tony Xiang +
• Roman Yurchak +
• Roy Zywina +

A total of 137 people contributed to this release. People with a "+" by their names contributed a patch for the first time. This list of names is automatically generated, and may not be fully complete.

Issues closed for 1.2.0

---

• `#1240 https://github.com/scipy/scipy/issues/1240`__: Allowing

multithreaded use of minpack through scipy.optimize...

• `#1432 https://github.com/scipy/scipy/issues/1432`__:

scipy.stats.mode extremely slow (Trac #905)

• `#3372 https://github.com/scipy/scipy/issues/3372`__: Please add

Sphinx search field to online scipy html docs

• `#3678 https://github.com/scipy/scipy/issues/3678`__:

_clough_tocher_2d_single direction between centroids

• `#4174 https://github.com/scipy/scipy/issues/4174`__: lobpcg

"largest" option invalid?

• `#5493 https://github.com/scipy/scipy/issues/5493`__: anderson_ksamp

p-values>1

• `#5743 https://github.com/scipy/scipy/issues/5743`__: slsqp fails to

detect infeasible problem

• `#6139 https://github.com/scipy/scipy/issues/6139`__:

scipy.optimize.linprog failed to find a feasible starting point...

• `#6358 https://github.com/scipy/scipy/issues/6358`__: stats:

docstring for `vonmises_line` points to `vonmises_line`...

• `#6498 https://github.com/scipy/scipy/issues/6498`__: runtests.py is

missing in pypi distfile

• `#7426 https://github.com/scipy/scipy/issues/7426`__:

scipy.stats.ksone(n).pdf(x) returns nan for positive values of...

• `#7455 https://github.com/scipy/scipy/issues/7455`__:

scipy.stats.ksone.pdf(2,x) return incorrect values for x near...

• `#7456 https://github.com/scipy/scipy/issues/7456`__:

scipy.special.smirnov and scipy.special.smirnovi have accuracy...

• `#7492 https://github.com/scipy/scipy/issues/7492`__:

scipy.special.kolmogorov(x)/kolmogi(p) inefficient, inaccurate...

• `#7914 https://github.com/scipy/scipy/issues/7914`__: TravisCI not

failing when it should for -OO run

• `#8064 https://github.com/scipy/scipy/issues/8064`__: linalg.solve

test crashes on Windows

• `#8212 https://github.com/scipy/scipy/issues/8212`__: LAPACK

Rectangular Full Packed routines

• `#8256 https://github.com/scipy/scipy/issues/8256`__:

differential_evolution bug converges to wrong results in complex...

• `#8443 https://github.com/scipy/scipy/issues/8443`__: Deprecate

`hyp2f0`, `hyp1f2`, and `hyp3f0`?

• `#8452 https://github.com/scipy/scipy/issues/8452`__: DOC: ARPACK

tutorial has two conflicting equations

• `#8680 https://github.com/scipy/scipy/issues/8680`__: scipy fails

compilation when building from source

• `#8686 https://github.com/scipy/scipy/issues/8686`__: Division by

zero in _trustregion.py when x0 is exactly equal...

• `#8700 https://github.com/scipy/scipy/issues/8700`__: _MINPACK_LOCK

not held when calling into minpack from least_squares

• `#8786 https://github.com/scipy/scipy/issues/8786`__: erroneous

moment values for t-distribution

• `#8791 https://github.com/scipy/scipy/issues/8791`__: Checking COLA

condition in istft should be optional (or omitted)

• `#8843 https://github.com/scipy/scipy/issues/8843`__: imresize cannot

be deprecated just yet

• `#8844 https://github.com/scipy/scipy/issues/8844`__: Inverse Wishart

Log PDF Incorrect for Non-diagonal Scale Matrix?

• `#8878 https://github.com/scipy/scipy/issues/8878`__: vonmises and

vonmises_line in stats: vonmises wrong and superfluous?

• `#8895 https://github.com/scipy/scipy/issues/8895`__: v1.1.0

`ndi.rotate` documentation – reused parameters not filled...

• `#8900 https://github.com/scipy/scipy/issues/8900`__: Missing complex

conjugation in scipy.sparse.linalg.LinearOperator

• `#8904 https://github.com/scipy/scipy/issues/8904`__: BUG: if zero

derivative at root, then Newton fails with RuntimeWarning

• `#8911 https://github.com/scipy/scipy/issues/8911`__:

make_interp_spline bc_type incorrect input interpretation

• `#8942 https://github.com/scipy/scipy/issues/8942`__: MAINT: Refactor

`_linprog.py` and `_linprog_ip.py` to remove...

• `#8947 https://github.com/scipy/scipy/issues/8947`__: np.int64 in

scipy.fftpack.next_fast_len

• `#9020 https://github.com/scipy/scipy/issues/9020`__: BUG:

linalg.subspace_angles gives wrong results

• `#9033 https://github.com/scipy/scipy/issues/9033`__:

scipy.stats.normaltest sometimes gives incorrect returns b/c...

• `#9036 https://github.com/scipy/scipy/issues/9036`__: Bizarre times

for `scipy.sparse.rand` function with 'low' density...

• `#9044 https://github.com/scipy/scipy/issues/9044`__:

optimize.minimize(method=`trust-constr`) result dict does not...

• `#9071 https://github.com/scipy/scipy/issues/9071`__: doc/linalg: add

cho_solve_banded to see also of cholesky_banded

• `#9082 https://github.com/scipy/scipy/issues/9082`__: eigenvalue

sorting in scipy.sparse.linalg.eigsh

• `#9086 https://github.com/scipy/scipy/issues/9086`__:

signaltools.py:491: FutureWarning: Using a non-tuple sequence...

• `#9091 https://github.com/scipy/scipy/issues/9091`__:

test_spline_filter failure on 32-bit

• `#9122 https://github.com/scipy/scipy/issues/9122`__: Typo on scipy

minimization tutorial

• `#9135 https://github.com/scipy/scipy/issues/9135`__: doc error at

https://docs.scipy.org/doc/scipy/reference/tutorial/stats/discrete_poisson.h...

• `#9167 https://github.com/scipy/scipy/issues/9167`__: DOC: BUG: typo

in ndimage LowLevelCallable tutorial example

• `#9169 https://github.com/scipy/scipy/issues/9169`__: truncnorm does

not work if b < a in scipy.stats

• `#9250 https://github.com/scipy/scipy/issues/9250`__:

scipy.special.tests.test_mpmath::TestSystematic::test_pcfw fails...

• `#9259 https://github.com/scipy/scipy/issues/9259`__: rv.expect() ==

rv.mean() is false for rv.mean() == nan (and inf)

• `#9286 https://github.com/scipy/scipy/issues/9286`__: DOC: Rosenbrock

expression in optimize.minimize tutorial

• `#9316 https://github.com/scipy/scipy/issues/9316`__: SLSQP fails in

nested optimization

• `#9337 https://github.com/scipy/scipy/issues/9337`__:

scipy.signal.find_peaks key typo in documentation

• `#9345 https://github.com/scipy/scipy/issues/9345`__: Example from

documentation of scipy.sparse.linalg.eigs raises...

• `#9383 https://github.com/scipy/scipy/issues/9383`__: Default value

for "mode" in "ndimage.shift"

• `#9419 https://github.com/scipy/scipy/issues/9419`__: dual_annealing

off by one in the number of iterations

• `#9442 https://github.com/scipy/scipy/issues/9442`__: Error in

Defintion of Rosenbrock Function

• `#9453 https://github.com/scipy/scipy/issues/9453`__: TST:

test_eigs_consistency() doesn't have consistent results

Pull requests for 1.2.0

---

• `#7352 https://github.com/scipy/scipy/pull/7352`__: ENH: add Brunner

Munzel test to scipy.stats.

• `#7373 https://github.com/scipy/scipy/pull/7373`__: BUG: Jaccard

distance for all-zero arrays would return np.nan

• `#7374 https://github.com/scipy/scipy/pull/7374`__: ENH: Add PDF, CDF

and parameter estimation for Stable Distributions

• `#8098 https://github.com/scipy/scipy/pull/8098`__: ENH: Add shgo for

global optimization of NLPs.

• `#8203 https://github.com/scipy/scipy/pull/8203`__: ENH: adding

simulated dual annealing to optimize

• `#8259 https://github.com/scipy/scipy/pull/8259`__: Option to follow

original Storn and Price algorithm and its parallelisation

• `#8293 https://github.com/scipy/scipy/pull/8293`__: ENH add

ratio-of-uniforms method for rv generation to scipy.stats

• `#8294 https://github.com/scipy/scipy/pull/8294`__: BUG: Fix slowness

in stats.mode

• `#8295 https://github.com/scipy/scipy/pull/8295`__: ENH: add Jensen

Shannon distance to `scipy.spatial.distance`

• `#8357 https://github.com/scipy/scipy/pull/8357`__: ENH: vectorize

scalar zero-search-functions

• `#8397 https://github.com/scipy/scipy/pull/8397`__: Add `fs=`

parameter to filter design functions

• `#8537 https://github.com/scipy/scipy/pull/8537`__: ENH: Implement

mode parameter for spline filtering.

• `#8558 https://github.com/scipy/scipy/pull/8558`__: ENH: small

speedup for stats.gaussian_kde

• `#8560 https://github.com/scipy/scipy/pull/8560`__: BUG: fix p-value

calc of anderson_ksamp in scipy.stats

• `#8614 https://github.com/scipy/scipy/pull/8614`__: ENH: correct

p-values for stats.kendalltau and stats.mstats.kendalltau

• `#8670 https://github.com/scipy/scipy/pull/8670`__: ENH: Require

Lapack 3.4.0

• `#8683 https://github.com/scipy/scipy/pull/8683`__: Correcting kmeans

documentation

• `#8725 https://github.com/scipy/scipy/pull/8725`__: MAINT: Cleanup

scipy.optimize.leastsq

• `#8726 https://github.com/scipy/scipy/pull/8726`__: BUG: Fix

_get_output in scipy.ndimage to support string

• `#8733 https://github.com/scipy/scipy/pull/8733`__: MAINT: stats: A

bit of clean up.

• `#8737 https://github.com/scipy/scipy/pull/8737`__: BUG: Improve

numerical precision/convergence failures of smirnov/kolmogorov

• `#8738 https://github.com/scipy/scipy/pull/8738`__: MAINT: stats: A

bit of clean up in test_distributions.py.

• `#8740 https://github.com/scipy/scipy/pull/8740`__: BF/ENH: make

minpack thread safe

• `#8742 https://github.com/scipy/scipy/pull/8742`__: BUG: Fix division

by zero in trust-region optimization methods

• `#8746 https://github.com/scipy/scipy/pull/8746`__: MAINT: signal:

Fix a docstring of a private function, and fix...

• `#8750 https://github.com/scipy/scipy/pull/8750`__: DOC clarified

description of norminvgauss in scipy.stats

• `#8753 https://github.com/scipy/scipy/pull/8753`__: DOC: signal: Fix

a plot title in the chirp docstring.

• `#8755 https://github.com/scipy/scipy/pull/8755`__: DOC: MAINT: Fix

link to the wheel documentation in developer...

• `#8760 https://github.com/scipy/scipy/pull/8760`__: BUG: stats:

boltzmann wasn't setting the upper bound.

• `#8763 https://github.com/scipy/scipy/pull/8763`__: [DOC] Improved

scipy.cluster.hierarchy documentation

• `#8765 https://github.com/scipy/scipy/pull/8765`__: DOC: added

example for scipy.stat.mstats.tmin

• `#8788 https://github.com/scipy/scipy/pull/8788`__: DOC: fix

definition of optional `disp` parameter

• `#8802 https://github.com/scipy/scipy/pull/8802`__: MAINT: Suppress

dd_real unused function compiler warnings.

• `#8803 https://github.com/scipy/scipy/pull/8803`__: ENH: Add

full_output support to optimize.newton()

• `#8804 https://github.com/scipy/scipy/pull/8804`__: MAINT: stats

cleanup

• `#8808 https://github.com/scipy/scipy/pull/8808`__: DOC: add note

about isinstance for frozen rvs

• `#8812 https://github.com/scipy/scipy/pull/8812`__: Updated numpydoc

submodule

• `#8813 https://github.com/scipy/scipy/pull/8813`__: MAINT: stats: Fix

multinomial docstrings, and do some clean up.

• `#8816 https://github.com/scipy/scipy/pull/8816`__: BUG: fixed _stats

of t-distribution in scipy.stats

• `#8817 https://github.com/scipy/scipy/pull/8817`__: BUG: ndimage: Fix

validation of the origin argument in correlate...

• `#8822 https://github.com/scipy/scipy/pull/8822`__: BUG: integrate:

Fix crash with repeated t values in odeint.

• `#8832 https://github.com/scipy/scipy/pull/8832`__: Hyperlink DOIs

against preferred resolver

• `#8837 https://github.com/scipy/scipy/pull/8837`__: BUG: sparse:

Ensure correct dtype for sparse comparison operations.

• `#8839 https://github.com/scipy/scipy/pull/8839`__: DOC: stats: A few

tweaks to the linregress docstring.

• `#8846 https://github.com/scipy/scipy/pull/8846`__: BUG: stats: Fix

logpdf method of invwishart.

• `#8849 https://github.com/scipy/scipy/pull/8849`__: DOC: signal:

Fixed mistake in the firwin docstring.

• `#8854 https://github.com/scipy/scipy/pull/8854`__: DOC: fix type

descriptors in ltisys documentation

• `#8865 https://github.com/scipy/scipy/pull/8865`__: Fix tiny typo in

docs for chi2 pdf

• `#8870 https://github.com/scipy/scipy/pull/8870`__: Fixes related to

invertibility of STFT

• `#8872 https://github.com/scipy/scipy/pull/8872`__: ENH: special: Add

the softmax function

• `#8874 https://github.com/scipy/scipy/pull/8874`__: DOC correct gamma

function in docstrings in scipy.stats

• `#8876 https://github.com/scipy/scipy/pull/8876`__: ENH: Added TOMS

Algorithm 748 as 1-d root finder; 17 test function...

• `#8882 https://github.com/scipy/scipy/pull/8882`__: ENH: Only use

Halley's adjustment to Newton if close enough.

• `#8883 https://github.com/scipy/scipy/pull/8883`__: FIX: optimize:

make jac and hess truly optional for 'trust-constr'

• `#8885 https://github.com/scipy/scipy/pull/8885`__: TST: Do not error

on warnings raised about non-tuple indexing.

• `#8887 https://github.com/scipy/scipy/pull/8887`__: MAINT: filter out

np.matrix PendingDeprecationWarning's in numpy...

• `#8889 https://github.com/scipy/scipy/pull/8889`__: DOC: optimize:

separate legacy interfaces from new ones

• `#8890 https://github.com/scipy/scipy/pull/8890`__: ENH: Add

optimize.root_scalar() as a universal dispatcher for...

• `#8899 https://github.com/scipy/scipy/pull/8899`__: DCT-IV, DST-IV

and DCT-I, DST-I orthonormalization support in...

• `#8901 https://github.com/scipy/scipy/pull/8901`__: MAINT: Reorganize

flapack.pyf.src file

• `#8907 https://github.com/scipy/scipy/pull/8907`__: BUG: ENH: Check

if guess for newton is already zero before checking...

• `#8908 https://github.com/scipy/scipy/pull/8908`__: ENH: Make sorting

optional for cKDTree.query_ball_point()

• `#8910 https://github.com/scipy/scipy/pull/8910`__: DOC:

sparse.csgraph simple examples.

• `#8914 https://github.com/scipy/scipy/pull/8914`__: DOC: interpolate:

fix equivalences of string aliases

• `#8918 https://github.com/scipy/scipy/pull/8918`__: add

float_control(precise, on) to _fpumode.c

• `#8919 https://github.com/scipy/scipy/pull/8919`__: MAINT:

interpolate: improve error messages for common `bc_type`...

• `#8920 https://github.com/scipy/scipy/pull/8920`__: DOC: update

Contributing to SciPy to say "prefer no PEP8 only...

• `#8924 https://github.com/scipy/scipy/pull/8924`__: MAINT: special:

deprecate `hyp2f0`, `hyp1f2`, and `hyp3f0`

• `#8927 https://github.com/scipy/scipy/pull/8927`__: MAINT: special:

remove `errprint`

• `#8932 https://github.com/scipy/scipy/pull/8932`__: Fix broadcasting

scale arg of entropy

• `#8936 https://github.com/scipy/scipy/pull/8936`__: Fix (some)

non-tuple index warnings

• `#8937 https://github.com/scipy/scipy/pull/8937`__: ENH: implement

sparse matrix BSR to CSR conversion directly.

• `#8938 https://github.com/scipy/scipy/pull/8938`__: DOC: add

@_ni_docstrings.docfiller in ndimage.rotate

• `#8940 https://github.com/scipy/scipy/pull/8940`__: Update

_discrete_distns.py

• `#8943 https://github.com/scipy/scipy/pull/8943`__: DOC: Finish

dangling sentence in `convolve` docstring

• `#8944 https://github.com/scipy/scipy/pull/8944`__: MAINT: Address

tuple indexing and warnings

• `#8945 https://github.com/scipy/scipy/pull/8945`__: ENH:

spatial.transform.Rotation [GSOC2018]

• `#8950 https://github.com/scipy/scipy/pull/8950`__: csgraph Dijkstra

function description rewording

• `#8953 https://github.com/scipy/scipy/pull/8953`__: DOC, MAINT: HTTP

-> HTTPS, and other linkrot fixes

• `#8955 https://github.com/scipy/scipy/pull/8955`__: BUG: np.int64 in

scipy.fftpack.next_fast_len

• `#8958 https://github.com/scipy/scipy/pull/8958`__: MAINT: Add more

descriptive error message for phase one simplex.

• `#8962 https://github.com/scipy/scipy/pull/8962`__: BUG:

sparse.linalg: add missing conjugate to _ScaledLinearOperator.adjoint

• `#8963 https://github.com/scipy/scipy/pull/8963`__: BUG:

sparse.linalg: downgrade LinearOperator TypeError to warning

• `#8965 https://github.com/scipy/scipy/pull/8965`__: ENH: Wrapped RFP

format and RZ decomposition routines

• `#8969 https://github.com/scipy/scipy/pull/8969`__: MAINT: doc and

code fixes for optimize.newton

• `#8970 https://github.com/scipy/scipy/pull/8970`__: Added 'average'

keyword for welch/csd to enable median averaging

• `#8971 https://github.com/scipy/scipy/pull/8971`__: Better imresize

deprecation warning

• `#8972 https://github.com/scipy/scipy/pull/8972`__: MAINT: Switch

np.where(c) for np.nonzero(c)

• `#8975 https://github.com/scipy/scipy/pull/8975`__: MAINT: Fix

warning-based failures

• `#8979 https://github.com/scipy/scipy/pull/8979`__: DOC: fix

description of count_sort keyword of dendrogram

• `#8982 https://github.com/scipy/scipy/pull/8982`__: MAINT: optimize:

Fixed minor mistakes in test_linprog.py (#8978)

• `#8984 https://github.com/scipy/scipy/pull/8984`__: BUG:

sparse.linalg: ensure expm casts integer inputs to float

• `#8986 https://github.com/scipy/scipy/pull/8986`__: BUG:

optimize/slsqp: do not exit with convergence on steps where...

• `#8989 https://github.com/scipy/scipy/pull/8989`__: MAINT: use

collections.abc in basinhopping

• `#8990 https://github.com/scipy/scipy/pull/8990`__: ENH extend

p-values of anderson_ksamp in scipy.stats

• `#8991 https://github.com/scipy/scipy/pull/8991`__: ENH: Weighted kde
• `#8993 https://github.com/scipy/scipy/pull/8993`__: ENH:

spatial.transform.Rotation.random [GSOC 2018]

• `#8994 https://github.com/scipy/scipy/pull/8994`__: ENH:

spatial.transform.Slerp [GSOC 2018]

• `#8995 https://github.com/scipy/scipy/pull/8995`__: TST: time.time in

test

• `#9007 https://github.com/scipy/scipy/pull/9007`__: Fix typo in

fftpack.rst

• `#9013 https://github.com/scipy/scipy/pull/9013`__: Added correct

plotting code for two sided output from spectrogram

• `#9014 https://github.com/scipy/scipy/pull/9014`__: BUG:

differential_evolution with inf objective functions

• `#9017 https://github.com/scipy/scipy/pull/9017`__: BUG: fixed #8446

corner case for asformat(array|dense)

• `#9018 https://github.com/scipy/scipy/pull/9018`__: MAINT:

_lib/ccallback: remove unused code

• `#9021 https://github.com/scipy/scipy/pull/9021`__: BUG: Issue with

subspace_angles

• `#9022 https://github.com/scipy/scipy/pull/9022`__: DOC: Added "See

Also" section to lombscargle docstring

• `#9034 https://github.com/scipy/scipy/pull/9034`__: BUG: Fix

tolerance printing behavior, remove meaningless tol...

• `#9035 https://github.com/scipy/scipy/pull/9035`__: TST: improve

signal.bsplines test coverage

• `#9037 https://github.com/scipy/scipy/pull/9037`__: ENH: add a new

init method for k-means

• `#9039 https://github.com/scipy/scipy/pull/9039`__: DOC: Add examples

to fftpack.irfft docstrings

• `#9048 https://github.com/scipy/scipy/pull/9048`__: ENH:

scipy.sparse.random

• `#9050 https://github.com/scipy/scipy/pull/9050`__: BUG:

scipy.io.hb_write: fails for matrices not in csc format

• `#9051 https://github.com/scipy/scipy/pull/9051`__: MAINT: Fix slow

sparse.rand for k < mn/3 (#9036).

• `#9054 https://github.com/scipy/scipy/pull/9054`__: MAINT: spatial:

Explicitly initialize LAPACK output parameters.

• `#9055 https://github.com/scipy/scipy/pull/9055`__: DOC: Add examples

to scipy.special docstrings

• `#9056 https://github.com/scipy/scipy/pull/9056`__: ENH: Use one

thread in OpenBLAS

• `#9059 https://github.com/scipy/scipy/pull/9059`__: DOC: Update

README with link to Code of Conduct

• `#9060 https://github.com/scipy/scipy/pull/9060`__: BLD: remove

support for the Bento build system.

• `#9062 https://github.com/scipy/scipy/pull/9062`__: DOC add sections

to overview in scipy.stats

• `#9066 https://github.com/scipy/scipy/pull/9066`__: BUG: Correct

"remez" error message

• `#9069 https://github.com/scipy/scipy/pull/9069`__: DOC: update

linalg section of roadmap for LAPACK versions.

• `#9079 https://github.com/scipy/scipy/pull/9079`__: MAINT: add

spatial.transform to refguide check; complete some...

• `#9081 https://github.com/scipy/scipy/pull/9081`__: MAINT: Add

warnings if pivot value is close to tolerance in linprog(method='simplex')

• `#9084 https://github.com/scipy/scipy/pull/9084`__: BUG fix incorrect

p-values of kurtosistest in scipy.stats

• `#9095 https://github.com/scipy/scipy/pull/9095`__: DOC: add sections

to mstats overview in scipy.stats

• `#9096 https://github.com/scipy/scipy/pull/9096`__: BUG: Add test for

Stackoverflow example from issue 8174.

• `#9101 https://github.com/scipy/scipy/pull/9101`__: ENH: add Siegel

slopes (robust regression) to scipy.stats

• `#9105 https://github.com/scipy/scipy/pull/9105`__: allow

resample_poly() to output float32 for float32 inputs.

• `#9112 https://github.com/scipy/scipy/pull/9112`__: MAINT: optimize:

make trust-constr accept constraint dict (#9043)

• `#9118 https://github.com/scipy/scipy/pull/9118`__: Add doc entry to

cholesky_banded

• `#9120 https://github.com/scipy/scipy/pull/9120`__: eigsh

documentation parameters

• `#9125 https://github.com/scipy/scipy/pull/9125`__: interpolative:

correctly reconstruct full rank matrices

• `#9126 https://github.com/scipy/scipy/pull/9126`__: MAINT: Use

warnings for unexpected peak properties

• `#9129 https://github.com/scipy/scipy/pull/9129`__: BUG: Do not catch

and silence KeyboardInterrupt

• `#9131 https://github.com/scipy/scipy/pull/9131`__: DOC: Correct the

typo in scipy.optimize tutorial page

• `#9133 https://github.com/scipy/scipy/pull/9133`__: FIX: Avoid use of

bare except

• `#9134 https://github.com/scipy/scipy/pull/9134`__: DOC: Update of

'return_eigenvectors' description

• `#9137 https://github.com/scipy/scipy/pull/9137`__: DOC: typo fixes

for discrete Poisson tutorial

• `#9139 https://github.com/scipy/scipy/pull/9139`__: FIX: Doctest

failure in optimize tutorial

• `#9143 https://github.com/scipy/scipy/pull/9143`__: DOC: missing

sigma in Pearson r formula

• `#9145 https://github.com/scipy/scipy/pull/9145`__: MAINT: Refactor

linear programming solvers

• `#9149 https://github.com/scipy/scipy/pull/9149`__: FIX: Make

scipy.odr.ODR ifixx equal to its data.fix if given

• `#9156 https://github.com/scipy/scipy/pull/9156`__: DOC: special:

Mention the sigmoid function in the expit docstring.

• `#9160 https://github.com/scipy/scipy/pull/9160`__: Fixed a latex

delimiter error in levy()

• `#9170 https://github.com/scipy/scipy/pull/9170`__: DOC: correction /

update of docstrings of distributions in scipy.stats

• `#9171 https://github.com/scipy/scipy/pull/9171`__: better

description of the hierarchical clustering parameter

• `#9174 https://github.com/scipy/scipy/pull/9174`__: domain check for

a < b in stats.truncnorm

• `#9175 https://github.com/scipy/scipy/pull/9175`__: DOC: Minor

grammar fix

• `#9176 https://github.com/scipy/scipy/pull/9176`__: BUG:

CloughTocher2DInterpolator: fix miscalculation at neighborless...

• `#9177 https://github.com/scipy/scipy/pull/9177`__: BUILD: Document

the "clean" target in the doc/Makefile.

• `#9178 https://github.com/scipy/scipy/pull/9178`__: MAINT: make

refguide-check more robust for printed numpy arrays

• `#9186 https://github.com/scipy/scipy/pull/9186`__: MAINT: Remove

np.ediff1d occurence

• `#9188 https://github.com/scipy/scipy/pull/9188`__: DOC: correct typo

in extending ndimage with C

• `#9190 https://github.com/scipy/scipy/pull/9190`__: ENH: Support

specifying axes for fftconvolve

• `#9192 https://github.com/scipy/scipy/pull/9192`__: MAINT: optimize:

fixed @pv style suggestions from #9112

• `#9200 https://github.com/scipy/scipy/pull/9200`__: Fix

make_interp_spline(..., k=0 or 1, axis<0)

• `#9201 https://github.com/scipy/scipy/pull/9201`__: BUG:

sparse.linalg/gmres: use machine eps in breakdown check

• `#9204 https://github.com/scipy/scipy/pull/9204`__: MAINT: fix up

stats.spearmanr and match mstats.spearmanr with...

• `#9206 https://github.com/scipy/scipy/pull/9206`__: MAINT: include

benchmarks and dev files in sdist.

• `#9208 https://github.com/scipy/scipy/pull/9208`__: TST: signal: bump

bsplines test tolerance for complex data

• `#9210 https://github.com/scipy/scipy/pull/9210`__: TST: mark tests

as slow, fix missing random seed

• `#9211 https://github.com/scipy/scipy/pull/9211`__: ENH: add

capability to specify orders in pade func

• `#9217 https://github.com/scipy/scipy/pull/9217`__: MAINT: Include

``success`` and ``nit`` in OptimizeResult returned...

• `#9222 https://github.com/scipy/scipy/pull/9222`__: ENH: interpolate:

Use scipy.spatial.distance to speed-up Rbf

• `#9229 https://github.com/scipy/scipy/pull/9229`__: MNT: Fix Fourier

filter double case

• `#9233 https://github.com/scipy/scipy/pull/9233`__: BUG:

spatial/distance: fix pdist/cdist performance regression...

• `#9234 https://github.com/scipy/scipy/pull/9234`__: FIX: Proper

suppression

• `#9235 https://github.com/scipy/scipy/pull/9235`__: BENCH:

rationalize slow benchmarks + miscellaneous fixes

• `#9238 https://github.com/scipy/scipy/pull/9238`__: BENCH: limit

number of parameter combinations in spatial.*KDTree...

• `#9239 https://github.com/scipy/scipy/pull/9239`__: DOC: stats: Fix

LaTeX markup of a couple distribution PDFs.

• `#9241 https://github.com/scipy/scipy/pull/9241`__: ENH: Evaluate

plateau size during peak finding

• `#9242 https://github.com/scipy/scipy/pull/9242`__: ENH: stats:

Implement _ppf and _logpdf for crystalball, and do...

• `#9246 https://github.com/scipy/scipy/pull/9246`__: DOC: Properly

render versionadded directive in HTML documentation

• `#9255 https://github.com/scipy/scipy/pull/9255`__: DOC: mention

RootResults in optimization reference guide

• `#9260 https://github.com/scipy/scipy/pull/9260`__: TST: relax some

tolerances so tests pass with x87 math

• `#9264 https://github.com/scipy/scipy/pull/9264`__: TST Use

assert_raises "match" parameter instead of the "message"...

• `#9267 https://github.com/scipy/scipy/pull/9267`__: DOC: clarify

expect() return val when moment is inf/nan

• `#9272 https://github.com/scipy/scipy/pull/9272`__: DOC: Add

description of default bounds to linprog

• `#9277 https://github.com/scipy/scipy/pull/9277`__: MAINT:

sparse/linalg: make test deterministic

• `#9278 https://github.com/scipy/scipy/pull/9278`__: MAINT:

interpolate: pep8 cleanup in test_polyint

• `#9279 https://github.com/scipy/scipy/pull/9279`__: Fixed docstring

for resample

• `#9280 https://github.com/scipy/scipy/pull/9280`__: removed first

check for float in get_sum_dtype

• `#9281 https://github.com/scipy/scipy/pull/9281`__: BUG: only accept

1d input for bartlett / levene in scipy.stats

• `#9282 https://github.com/scipy/scipy/pull/9282`__: MAINT:

dense_output and t_eval are mutually exclusive inputs

• `#9283 https://github.com/scipy/scipy/pull/9283`__: MAINT: add docs

and do some cleanups in interpolate.Rbf

• `#9288 https://github.com/scipy/scipy/pull/9288`__: Run

distance_transform_edt tests on all types

• `#9294 https://github.com/scipy/scipy/pull/9294`__: DOC: fix the

formula typo

• `#9298 https://github.com/scipy/scipy/pull/9298`__: MAINT:

optimize/trust-constr: restore .niter attribute for backward-compat

• `#9299 https://github.com/scipy/scipy/pull/9299`__: DOC:

clarification of default rvs method in scipy.stats

• `#9301 https://github.com/scipy/scipy/pull/9301`__: MAINT: removed

unused import sys

• `#9302 https://github.com/scipy/scipy/pull/9302`__: MAINT: removed

unused imports

• `#9303 https://github.com/scipy/scipy/pull/9303`__: DOC: signal:

Refer to fs instead of nyq in the firwin docstring.

• `#9305 https://github.com/scipy/scipy/pull/9305`__: ENH: Added

Yeo-Johnson power transformation

• `#9306 https://github.com/scipy/scipy/pull/9306`__: ENH - add dual

annealing

• `#9309 https://github.com/scipy/scipy/pull/9309`__: ENH add the

yulesimon distribution to scipy.stats

• `#9317 https://github.com/scipy/scipy/pull/9317`__: Nested SLSQP bug

fix.

• `#9320 https://github.com/scipy/scipy/pull/9320`__: MAINT: stats:

avoid underflow in stats.geom.ppf

• `#9326 https://github.com/scipy/scipy/pull/9326`__: Add example for

Rosenbrock function

• `#9332 https://github.com/scipy/scipy/pull/9332`__: Sort file lists
• `#9340 https://github.com/scipy/scipy/pull/9340`__: Fix typo in

find_peaks documentation

• `#9343 https://github.com/scipy/scipy/pull/9343`__: MAINT Use np.full

when possible

• `#9344 https://github.com/scipy/scipy/pull/9344`__: DOC: added

examples to docstring of dirichlet class

• `#9346 https://github.com/scipy/scipy/pull/9346`__: DOC: Fix import

of scipy.sparse.linalg in example (#9345)

• `#9350 https://github.com/scipy/scipy/pull/9350`__: Fix interpolate

read only

• `#9351 https://github.com/scipy/scipy/pull/9351`__: MAINT:

special.erf: use the x->-x symmetry

• `#9356 https://github.com/scipy/scipy/pull/9356`__: Fix documentation

typo

• `#9358 https://github.com/scipy/scipy/pull/9358`__: DOC: improve doc

for ksone and kstwobign in scipy.stats

• `#9362 https://github.com/scipy/scipy/pull/9362`__: DOC: Change

datatypes of A matrices in linprog

• `#9364 https://github.com/scipy/scipy/pull/9364`__: MAINT: Adds

implicit none to fftpack fortran sources

• `#9369 https://github.com/scipy/scipy/pull/9369`__: DOC: minor tweak

to CoC (updated NumFOCUS contact address).

• `#9373 https://github.com/scipy/scipy/pull/9373`__: Fix exception if

python is called with -OO option

• `#9374 https://github.com/scipy/scipy/pull/9374`__: FIX: AIX

compilation issue with NAN and INFINITY

• `#9376 https://github.com/scipy/scipy/pull/9376`__: COBLYA -> COBYLA

in docs

• `#9377 https://github.com/scipy/scipy/pull/9377`__: DOC: Add examples

integrate: fixed_quad and quadrature

• `#9379 https://github.com/scipy/scipy/pull/9379`__: MAINT: TST: Make

tests NumPy 1.8 compatible

• `#9385 https://github.com/scipy/scipy/pull/9385`__: CI: On Travis

matrix "OPTIMIZE=-OO" flag ignored

• `#9387 https://github.com/scipy/scipy/pull/9387`__: Fix defaut value

for 'mode' in 'ndimage.shift' in the doc

• `#9392 https://github.com/scipy/scipy/pull/9392`__: BUG: rank has to

be integer in rank_filter: fixed issue 9388

• `#9399 https://github.com/scipy/scipy/pull/9399`__: DOC: Misc. typos
• `#9400 https://github.com/scipy/scipy/pull/9400`__: TST: stats: Fix

the expected r-value of a linregress test.

• `#9405 https://github.com/scipy/scipy/pull/9405`__: BUG: np.hstack

does not accept generator expressions

• `#9408 https://github.com/scipy/scipy/pull/9408`__: ENH: linalg:

Shorter ill-conditioned warning message

• `#9418 https://github.com/scipy/scipy/pull/9418`__: DOC: Fix ndimage

docstrings and reduce doc build warnings

• `#9421 https://github.com/scipy/scipy/pull/9421`__: DOC: Add missing

docstring examples in scipy.spatial

• `#9422 https://github.com/scipy/scipy/pull/9422`__: DOC: Add an

example to integrate.newton_cotes

• `#9427 https://github.com/scipy/scipy/pull/9427`__: BUG: Fixed defect

with maxiter #9419 in dual annealing

• `#9431 https://github.com/scipy/scipy/pull/9431`__: BENCH: Add dual

annealing to scipy benchmark (see #9415)

• `#9435 https://github.com/scipy/scipy/pull/9435`__: DOC: Add

docstring examples for stats.binom_test

• `#9443 https://github.com/scipy/scipy/pull/9443`__: DOC: Fix the

order of indices in optimize tutorial

• `#9444 https://github.com/scipy/scipy/pull/9444`__: MAINT:

interpolate: use operator.index for checking/coercing...

• `#9445 https://github.com/scipy/scipy/pull/9445`__: DOC: Added

missing example to stats.mstats.kruskal

• `#9446 https://github.com/scipy/scipy/pull/9446`__: DOC: Add note

about version changed for jaccard distance

• `#9447 https://github.com/scipy/scipy/pull/9447`__: BLD:

version-script handling in setup.py

• `#9448 https://github.com/scipy/scipy/pull/9448`__: TST: skip a

problematic linalg test

• `#9449 https://github.com/scipy/scipy/pull/9449`__: TST: fix missing

seed in lobpcg test.

• `#9456 https://github.com/scipy/scipy/pull/9456`__: TST:

test_eigs_consistency() now sorts output

Checksums

MD5

47d309402d2e5574be8fa261fadfaf58
scipy-1.2.0rc1-cp27-cp27m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl
911dfde5be66403c07c60e19aa631dc2
scipy-1.2.0rc1-cp27-cp27m-manylinux1_i686.whl
a693189336365595b42b0d93f825b826
scipy-1.2.0rc1-cp27-cp27m-manylinux1_x86_64.whl
ec5abd33480761ed9701f7fd2274fc47  scipy-1.2.0rc1-cp27-cp27m-win32.whl
bc3d40311f057b12f8fea97166ef8112  scipy-1.2.0rc1-cp27-cp27m-win_amd64.whl
33848233e6438b1ff9183d8a4794daed
scipy-1.2.0rc1-cp27-cp27mu-manylinux1_i686.whl
c2cb1166ce0071e1fe42ed1c3e60b75e
scipy-1.2.0rc1-cp27-cp27mu-manylinux1_x86_64.whl
a04b5a758f555e05e6431b8a1f035888
scipy-1.2.0rc1-cp34-cp34m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl
ad511246d0742cf0669fedf292cc01bb
scipy-1.2.0rc1-cp34-cp34m-manylinux1_i686.whl
15aa08ef43a6c5cb320bc015f01087ad
scipy-1.2.0rc1-cp34-cp34m-manylinux1_x86_64.whl
86a59b81a3e6894d9054139311a2c51f  scipy-1.2.0rc1-cp34-cp34m-win32.whl
8b6e33253579916ea873c45989ee5bea  scipy-1.2.0rc1-cp34-cp34m-win_amd64.whl
db7a4de02828471bf9f800814ff68627
scipy-1.2.0rc1-cp35-cp35m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl
c296b6270d29d3ec6dafddf8ceae67fb
scipy-1.2.0rc1-cp35-cp35m-manylinux1_i686.whl
3ba7a825f61822128d960fa728010e51
scipy-1.2.0rc1-cp35-cp35m-manylinux1_x86_64.whl
c083c8287da110b707d181f6638ce122  scipy-1.2.0rc1-cp35-cp35m-win32.whl
2242eac92681085258535ed96bd040d7  scipy-1.2.0rc1-cp35-cp35m-win_amd64.whl
d5c238903c00e91a40d56023f1a27ed4
scipy-1.2.0rc1-cp36-cp36m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl
e8ab7487a9a53b86a6510772c45af787
scipy-1.2.0rc1-cp36-cp36m-manylinux1_i686.whl
9991b5958d736488bef638eea463945d
scipy-1.2.0rc1-cp36-cp36m-manylinux1_x86_64.whl
9c108a9d7e967b8c9a5e5143b1a15b40  scipy-1.2.0rc1-cp36-cp36m-win32.whl
54d63041f0315d341d9ffb028a98e767  scipy-1.2.0rc1-cp36-cp36m-win_amd64.whl
534276c864ab3139811561c022608cc3
scipy-1.2.0rc1-cp37-cp37m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl
4bd26c179a10891087bd81a658573683
scipy-1.2.0rc1-cp37-cp37m-manylinux1_i686.whl
1a3170b4f1df42f28efbe197e54eb9a3
scipy-1.2.0rc1-cp37-cp37m-manylinux1_x86_64.whl
72b89f7e2c1d13dc8dbb21600fb184da  scipy-1.2.0rc1-cp37-cp37m-win32.whl
433ef294c4a015da0a6e0f063289a658  scipy-1.2.0rc1-cp37-cp37m-win_amd64.whl
83abb1befce326916e0435d428b36e62  scipy-1.2.0rc1.tar.gz
21b7570fb577543807feb4b4c1fdad8a  scipy-1.2.0rc1.tar.xz
11221dc23e0d3b316b5564f2f435aaf1  scipy-1.2.0rc1.zip

SHA256

a3282027743e89d5fcb6cd7a9e4ecdbbde61bf8126fd19683e97b69f5f6a2163 scipy-1.2.0rc1-cp27-cp27m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl 8b8841e03620d4d704f4efd3daed575e23a6272ae9c9be2c4cc751febee984f7 scipy-1.2.0rc1-cp27-cp27m-manylinux1_i686.whl 254ea2f7f3c5afef9f02c0192d2dbd8f5336c1b1c53efae7ef64a8880cccc299 scipy-1.2.0rc1-cp27-cp27m-manylinux1_x86_64.whl d449832419df3e37a3942778b46c140fd61d1e4f38f9e34bed278a77aacdbd31 scipy-1.2.0rc1-cp27-cp27m-win32.whl e57f3e3eaa88cd7bc93466122fca48c36863e03aeb24f9d570a2e6b2ea3cbf92 scipy-1.2.0rc1-cp27-cp27m-win_amd64.whl 00dcb606101fa10951ee235af69dbff55d999b01c9bb2bc0f64df5fc3aff4eb6 scipy-1.2.0rc1-cp27-cp27mu-manylinux1_i686.whl 38857eb49f7e38d3ec079772225a79235d0bd847e24d2fa8c9a9fa70ee69f0a2 scipy-1.2.0rc1-cp27-cp27mu-manylinux1_x86_64.whl 9b9950278f36c4e7779148cc9a719d41a305024c70005f994412845172ade346 scipy-1.2.0rc1-cp34-cp34m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl c8a2fc15c64f1b162b02f86d28153b65f64720ca64e832bcf5bfae060a507949 scipy-1.2.0rc1-cp34-cp34m-manylinux1_i686.whl 4e205e0e5e88fe2105c594a706ac9fa558fe7a4daa2bef2c86b343ab507d8bd6 scipy-1.2.0rc1-cp34-cp34m-manylinux1_x86_64.whl b04fb8ba796198d83614138d7f96e88791d83f5f4e31e628cce51fda1a092f66 scipy-1.2.0rc1-cp34-cp34m-win32.whl c34e4ce9a8c62c85f322d7897a257a839a4bb7fd94e08701044e9b1cc1bb15a6 scipy-1.2.0rc1-cp34-cp34m-win_amd64.whl cb7f4c289c06514c6e224263868a98d5e6aa6e8a90f2304b16ff276aa96030ce scipy-1.2.0rc1-cp35-cp35m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl dcaeed34e7e965e935ba252fd3290c04cafb7d84f6f44c9c08269504aa2e0a05 scipy-1.2.0rc1-cp35-cp35m-manylinux1_i686.whl 13b234b4fbda1368474a667fc29e8365b622c4c607ed490f00643625c8f50cca scipy-1.2.0rc1-cp35-cp35m-manylinux1_x86_64.whl 073560d6598b97b8f214a31856a1d43c96701b46c5cc9805789f962c3b8a0e97 scipy-1.2.0rc1-cp35-cp35m-win32.whl 600cf596b83f185dca3455d03ca802de0b4de98cb4c8d041226089d78d04c2bc scipy-1.2.0rc1-cp35-cp35m-win_amd64.whl 77b7ed8e13f03a843d2f11bd140f224abe62fb56656f35348578e3838ff4d528 scipy-1.2.0rc1-cp36-cp36m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl 98786b516d1955592f921c2b36505840ff921c9e82f5c28a6c2a580fb3e96af1 scipy-1.2.0rc1-cp36-cp36m-manylinux1_i686.whl 8f62fc6ac6b842d7c3c499269150ec81d26a0dea5ce818aef3b0e9e14e53c5c7 scipy-1.2.0rc1-cp36-cp36m-manylinux1_x86_64.whl 213cfc35ec2fbf86c5957d1ada99a1fe1eacccdb498d4790089af9cf50cadab4 scipy-1.2.0rc1-cp36-cp36m-win32.whl 287e46f87399eb9897c726c6d358c893f6c769300599bc5da95cbf3397a00aa7 scipy-1.2.0rc1-cp36-cp36m-win_amd64.whl 7116d193da4baca6f7cd1cd7810548fa03ed4a06e05f325978b2f0018b05ead9 scipy-1.2.0rc1-cp37-cp37m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl 9cd3fe767225b0dcfcc9f09ed18288b51c29b35ca16dc4e5a6f3587b4ac7d7b5 scipy-1.2.0rc1-cp37-cp37m-manylinux1_i686.whl 4024aea96a01ca05af701f93fd227a7f646258116903899a75b1f4a1f0134bf8 scipy-1.2.0rc1-cp37-cp37m-manylinux1_x86_64.whl eccd0e6d321585b6e2ee18fa0ee1db4fe042e52fb4ae8e28a3d223df6bcd6a8e scipy-1.2.0rc1-cp37-cp37m-win32.whl 96f6c69b2d8f63dad5612385521d0cf8b62f665a62f56b6b3d3fb7042a63c34c scipy-1.2.0rc1-cp37-cp37m-win_amd64.whl ca9ba36bb271dcb4273e330c0bd418a1c3566ff76248dd634efecbe0e9c1721c scipy-1.2.0rc1.tar.gz b8fe757f377b43c733a0ba235b990fb4b3722bd6f5930a26359d16752e94560c scipy-1.2.0rc1.tar.xz da1980e7e037e2275821d7611a91eadafdc157b096f36f41d05cc0ea4ae539bc scipy-1.2.0rc1.zip -----BEGIN PGP SIGNATURE-----

iQIzBAEBCAAdFiEEgfAqrOuERrV4fwr6XCLdIy4FKasFAlv8LB8ACgkQXCLdIy4F KauhWw//cFUboxtuNZeEh98Pn2mfVIqRF8hc6VK7jeXU64qiAdOnbBRKXfoXWpbt 8fEckTFVVt2CQzIEZju429P0eWv8psfvn90cNnj5VHz7h46AH5gQee/cfP1kNWGO mxcYczqZN8+ldDnww4hfk0R+3IrpfmQbVSMEqBF84uottfgUjUzPtcFHJmmmcOF2 7XWhAP5IWMctcwq3r3WAa8yLUmlEIB3Fs9mPPr1We7e0QiXnEueUrXVZF9Oz3UpJ UFiTwX5nxnNdxZJwtLbBXhxJUbvPnooby0x1NwxFG6AwrWaPG3my0e9kIzpwqfsf 0B7Pt/xPEHWIizaqMyfUiaS7FZOUfvq6xs5aCyQeP9Wtnwherm6SQ/Qs+LFSb8E2 9cgyFmaBeslrTMd3f1YMcb6d1hmNSjbBmWccZEXCqjC9UClxbAQDHDcdmTl+4vp7 xATCxWkYVP9lOLH5TtIC1Bo0AZXiOxI3JnojQS65JH0w4unh1IJJkENurzCATh4/ vnyddy0x2e1ok5bX8fpVFrCc8lSdO8aDY5cYEU55XZhkyroet3IaOYqwPzPQPwoJ QgYEsqxa2Urn0faV5uuDFTscnCAHK0EVXhr3yyL0YoIGOPffM8JaswEAUaFwLrq0 KEbOavdImtSwqL9v6x5tDyYXh/mHQ70GGtPS68iSc1NexRrwLAw= =F/+Z -----END PGP SIGNATURE-----

---

NumPy-Discussion mailing list NumPy-Discussion@python.org https://mail.python.org/mailman/listinfo/numpy-discussion