ANN: SciPy 1.2.0

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ANN: SciPy 1.2.0

Tyler Reddy
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Hi all,

On behalf of the SciPy development team I'm pleased to announce
the release of SciPy 1.2.0. This is an LTS release and the
last to support Python 2.7.

Sources and binary wheels can be found at:
and at:

One of a few ways to install this release with pip:

pip install scipy==1.2.0

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

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 +
* Piotr Figiel
* 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
------------------------

* `#9520 <https://github.com/scipy/scipy/issues/9520>`__: signal.correlate with method='fft' doesn't benefit from long...
* `#9547 <https://github.com/scipy/scipy/issues/9547>`__: signature of dual_annealing doesn't match other optimizers
* `#9540 <https://github.com/scipy/scipy/issues/9540>`__: SciPy v1.2.0rc1 cannot be imported on Python 2.7.15
* `#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
* `#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
------------------------

* `#9526 <https://github.com/scipy/scipy/pull/9526>`__: TST: relax precision requirements in signal.correlate tests
* `#9507 <https://github.com/scipy/scipy/pull/9507>`__: CI: MAINT: Skip a ckdtree test on pypy
* `#9512 <https://github.com/scipy/scipy/pull/9512>`__: TST: test_random_sampling 32-bit handling
* `#9494 <https://github.com/scipy/scipy/pull/9494>`__: TST: test_kolmogorov xfail 32-bit
* `#9486 <https://github.com/scipy/scipy/pull/9486>`__: BUG: fix sparse random int handling
* `#9550 <https://github.com/scipy/scipy/pull/9550>`__: BUG: scipy/_lib/_numpy_compat: get_randint
* `#9549 <https://github.com/scipy/scipy/pull/9549>`__: MAINT: make dual_annealing signature match other optimizers
* `#9541 <https://github.com/scipy/scipy/pull/9541>`__: BUG: fix SyntaxError due to non-ascii character on Python 2.7
* `#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
~~~

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Re: [SciPy-Dev] ANN: SciPy 1.2.0

Charles R Harris
Congratulations. May there be many more :)

Chuck

On Tue, Dec 18, 2018 at 9:57 AM Tyler Reddy <[hidden email]> wrote:
-----BEGIN PGP SIGNED MESSAGE-----
Hash: SHA256

Hi all,

On behalf of the SciPy development team I'm pleased to announce
the release of SciPy 1.2.0. This is an LTS release and the
last to support Python 2.7.

Sources and binary wheels can be found at:
and at:

One of a few ways to install this release with pip:

pip install scipy==1.2.0

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

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 +
* Piotr Figiel
* 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
------------------------

* `#9520 <https://github.com/scipy/scipy/issues/9520>`__: signal.correlate with method='fft' doesn't benefit from long...
* `#9547 <https://github.com/scipy/scipy/issues/9547>`__: signature of dual_annealing doesn't match other optimizers
* `#9540 <https://github.com/scipy/scipy/issues/9540>`__: SciPy v1.2.0rc1 cannot be imported on Python 2.7.15
* `#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
* `#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
------------------------

* `#9526 <https://github.com/scipy/scipy/pull/9526>`__: TST: relax precision requirements in signal.correlate tests
* `#9507 <https://github.com/scipy/scipy/pull/9507>`__: CI: MAINT: Skip a ckdtree test on pypy
* `#9512 <https://github.com/scipy/scipy/pull/9512>`__: TST: test_random_sampling 32-bit handling
* `#9494 <https://github.com/scipy/scipy/pull/9494>`__: TST: test_kolmogorov xfail 32-bit
* `#9486 <https://github.com/scipy/scipy/pull/9486>`__: BUG: fix sparse random int handling
* `#9550 <https://github.com/scipy/scipy/pull/9550>`__: BUG: scipy/_lib/_numpy_compat: get_randint
* `#9549 <https://github.com/scipy/scipy/pull/9549>`__: MAINT: make dual_annealing signature match other optimizers
* `#9541 <https://github.com/scipy/scipy/pull/9541>`__: BUG: fix SyntaxError due to non-ascii character on Python 2.7
* `#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
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SHA256
~~~~~~

d1ae77b79fd5e27a10ba7c4e7c3a62927b9d29a4dccf28f6905c25d983aaf183  scipy-1.2.0-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
4b1f0883cb9d8ee963cf0a31c87341e9e758abb2cf1e5bcc0d7b066ef6b17573  scipy-1.2.0-cp27-cp27m-manylinux1_i686.whl
c5eae911cf26b3c7eda889ec98d3c226f312c587acfaaf02602473f98b4c16d6  scipy-1.2.0-cp27-cp27m-manylinux1_x86_64.whl
58f0435f052cb60f1472c77f52a8f6642f8877b70559e5e0b9a1744f33f5cbe5  scipy-1.2.0-cp27-cp27m-win32.whl
4cce25c6e7ff7399c67dfe1b5423c36c391cf9b4b2be390c1675ab410f1ef503  scipy-1.2.0-cp27-cp27m-win_amd64.whl
02cb79ea38114dc480e9b08d6b87095728e8fb39b9a49b449ee443d678001611  scipy-1.2.0-cp27-cp27mu-manylinux1_i686.whl
7dc4002f0a0a688774ef04878afe769ecd1ac21fe9b4b1d7125e2cf16170afd3  scipy-1.2.0-cp27-cp27mu-manylinux1_x86_64.whl
7994c044bf659b0a24ad7673ec7db85c2fadb87e4980a379a9fd5b086fe3649a  scipy-1.2.0-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
72bd766f753fd32f072d30d7bc2ad492d56dbcbf3e13764e27635d5c41079339  scipy-1.2.0-cp34-cp34m-manylinux1_i686.whl
3132a9fab3f3545c8b0ba15688d11857efdd4a58d388d3785dc474f56fea7138  scipy-1.2.0-cp34-cp34m-manylinux1_x86_64.whl
7413080b381766a22d52814edb65631f0e323a7cea945c70021a672f38acc73f  scipy-1.2.0-cp34-cp34m-win32.whl
6f791987899532305126309578727c0197bddbafab9596bafe3e7bfab6e1ce13  scipy-1.2.0-cp34-cp34m-win_amd64.whl
937147086e8b4338bf139ca8fa98da650e3a46bf2ca617f8e9dd68c3971ec420  scipy-1.2.0-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
63e1d5ca9e5e1984f1a275276991b036e25d39d37dd7edbb3f4f6165c2da7dbb  scipy-1.2.0-cp35-cp35m-manylinux1_i686.whl
03c827cdbc584e935264040b958e5fa0570a16095bee23a013482ba3f0e963a2  scipy-1.2.0-cp35-cp35m-manylinux1_x86_64.whl
bc294841f6c822714af362095b181a853f47ed5ce757354bd2e4776d579ff3a4  scipy-1.2.0-cp35-cp35m-win32.whl
cca33a01a5987c650b87a1a910aa311ffa44e67cca1ff502ef9efdae5d9a8624  scipy-1.2.0-cp35-cp35m-win_amd64.whl
8608316d0cc01f8b25111c8adfe6efbc959cbba037a62c784551568d7ffbf280  scipy-1.2.0-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
fb36064047e6bf87b6320a9b6eb7f525ef6863c7a4aef1a84a4bbfb043612617  scipy-1.2.0-cp36-cp36m-manylinux1_i686.whl
854bd87cc23824d5db4983956bc30f3790e1c7448f1a9e6a8fb7bff7601aef87  scipy-1.2.0-cp36-cp36m-manylinux1_x86_64.whl
fc1a19d95649439dbd50baca676bceb29bbfcd600aed2c5bd71d9bad82a87cfe  scipy-1.2.0-cp36-cp36m-win32.whl
8f5fcc87b48fc3dd6d901669c89af4feeb856dffb6f671539a238b7e8af1799c  scipy-1.2.0-cp36-cp36m-win_amd64.whl
bc6a88b0009a1b60eab5c22ac3a006f6968d6328de10c6a64ebb0d64a05548d3  scipy-1.2.0-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
64b2c35824da3ef6bb1e722216e4ef28802af6413c7586136500e343d34ba179  scipy-1.2.0-cp37-cp37m-manylinux1_i686.whl
78a67ee4845440e81cfbfabde20537ca12051d0eeac951fe4c6d8751feac3103  scipy-1.2.0-cp37-cp37m-manylinux1_x86_64.whl
04f2b23258139c109d0524f111597dd095a505d9cb2c71e381d688d653877fa3  scipy-1.2.0-cp37-cp37m-win32.whl
5706b785ca289fdfd91aa05066619e51d140613b613e35932601f2315f5d8470  scipy-1.2.0-cp37-cp37m-win_amd64.whl
51a2424c8ed80e60bdb9a896806e7adaf24a58253b326fbad10f80a6d06f2214  scipy-1.2.0.tar.gz
1cfafc64e1c1c0b6d040d35780ba06f01e9cb44f3bacd8f33a5df6efe5a144a6  scipy-1.2.0.tar.xz
5b3d4b1654b4723431ad7f47b4556498a86a53d2fdb86e85a45c3da0c2a72a4b  scipy-1.2.0.zip
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=3Enc
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