[Numpy-discussion] ANN: SciPy 1.2.0rc1 -- please test

Tyler Reddy tyler.je.reddy at gmail.com
Mon Nov 26 13:47:47 EST 2018

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:
and at:

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

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.interpolate` improvements
- --------------------------------

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

`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
method="brenth")`` is equivalent to ``scipy.optimize.brenth(f, a ,b)``.  If
``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
an enclosing interval has been added as `scipy.optimize.toms748`. This
guaranteed convergence to a root with convergence rate per function
of approximately 1.65 (for sufficiently well-behaved functions.)

``differential_evolution`` now has the ``updating`` and ``workers``
The first chooses between continuous updating of the best solution vector
default), or once per generation. Continuous updating can lead to faster
convergence. The ``workers`` keyword accepts an ``int`` or map-like
and parallelises the solver (having the side effect of updating once per
generation). Supplying an ``int`` evaluates the trial solutions in N
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
deterministic minimization. So, dual annealing is a hybrid method that takes
advantage of stochastic and local deterministic searching in an efficient

``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
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
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

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
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
of ``np.nan`` when two all-zero vectors are compared.

Support for the Jensen Shannon distance, the square-root of the divergence,
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

Added a general method to sample random variates based on the density only,
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
and should have a modest improvement in performance

Levy Stable Parameter Estimation, PDF, and CDF calculations are now
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``
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
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
information that corresponds directly to the user-defined problem. In future
releases, this ``OptimizeResult`` object may be expanded to include
information, such as variables corresponding to the standard-form problem
information concerning the relationship between the standard-form and
user-defined problems.

The implementation of `scipy.sparse.random` has changed, and this affects
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


* @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

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
* `#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
* `#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
* `#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
* `#8683 <https://github.com/scipy/scipy/pull/8683>`__: Correcting kmeans
* `#8725 <https://github.com/scipy/scipy/pull/8725>`__: MAINT: Cleanup
* `#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
* `#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
* `#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
* `#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
* `#9007 <https://github.com/scipy/scipy/pull/9007>`__: Fix typo in
* `#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
* `#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:
* `#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
* `#9120 <https://github.com/scipy/scipy/pull/9120>`__: eigsh documentation
* `#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
* `#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
* `#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
* `#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
* `#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
* `#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
* `#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
* `#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



ec5abd33480761ed9701f7fd2274fc47  scipy-1.2.0rc1-cp27-cp27m-win32.whl
bc3d40311f057b12f8fea97166ef8112  scipy-1.2.0rc1-cp27-cp27m-win_amd64.whl
86a59b81a3e6894d9054139311a2c51f  scipy-1.2.0rc1-cp34-cp34m-win32.whl
8b6e33253579916ea873c45989ee5bea  scipy-1.2.0rc1-cp34-cp34m-win_amd64.whl
c083c8287da110b707d181f6638ce122  scipy-1.2.0rc1-cp35-cp35m-win32.whl
2242eac92681085258535ed96bd040d7  scipy-1.2.0rc1-cp35-cp35m-win_amd64.whl
9c108a9d7e967b8c9a5e5143b1a15b40  scipy-1.2.0rc1-cp36-cp36m-win32.whl
54d63041f0315d341d9ffb028a98e767  scipy-1.2.0rc1-cp36-cp36m-win_amd64.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



-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mail.python.org/pipermail/numpy-discussion/attachments/20181126/3579b5e9/attachment-0001.html>

More information about the NumPy-Discussion mailing list