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

Abhinav Gautam abhinav.nanhey at gmail.com
Mon Nov 26 16:22:38 EST 2018


Congratulations 😀

On Tue, Nov 27, 2018, 02:48 Charles R Harris <charlesr.harris at gmail.com>
wrote:

> Congratulations on your first release. May there be many more :)
>
> Chuck
>
> On Mon, Nov 26, 2018 at 11:48 AM Tyler Reddy <tyler.je.reddy at gmail.com>
> wrote:
>
>> -----BEGIN PGP SIGNED MESSAGE-----
>> Hash: SHA256
>>
>> Hi all,
>>
>> On behalf of the SciPy development team I'm pleased to announce
>> the release candidate SciPy 1.2.0rc1. Please help us test out this
>> release candidate -- the 1.2.x series will be an LTS release and the
>> last to support Python 2.7.
>>
>> Sources and binary wheels can be found at:
>> https://pypi.python.org/pypi/scipy
>> and at:
>> https://github.com/scipy/scipy/releases/tag/v1.2.0rc1
>>
>> To install the release candidate with pip:
>>
>> pip install scipy==1.2.0rc1
>>
>>
>> ==========================
>> SciPy 1.2.0 Release Notes
>> ==========================
>>
>> Note: Scipy 1.2.0 is not released yet!
>>
>> SciPy 1.2.0 is the culmination of 6 months of hard work. It contains
>> many new features, numerous bug-fixes, improved test coverage and better
>> documentation. There have been a number of deprecations and API changes
>> in this release, which are documented below. All users are encouraged to
>> upgrade to this release, as there are a large number of bug-fixes and
>> optimizations. Before upgrading, we recommend that users check that
>> their own code does not use deprecated SciPy functionality (to do so,
>> run your code with ``python -Wd`` and check for ``DeprecationWarning`` s).
>> Our development attention will now shift to bug-fix releases on the
>> 1.2.x branch, and on adding new features on the master branch.
>>
>> This release requires Python 2.7 or 3.4+ and NumPy 1.8.2 or greater.
>>
>> Note: This will be the last SciPy release to support Python 2.7.
>>           Consequently, the 1.2.x series will be a long term support (LTS)
>>           release; we will backport bug fixes until 1 Jan 2020.
>>
>> For running on PyPy, PyPy3 6.0+ and NumPy 1.15.0 are required.
>>
>> Highlights of this release
>> ----------------------------
>>
>> - - 1-D root finding improvements with a new solver, ``toms748``, and a
>> new
>>   unified interface, ``root_scalar``
>> - - New ``dual_annealing`` optimization method that combines stochastic
>> and
>>   local deterministic searching
>> - - A new optimization algorithm, ``shgo`` (simplicial homology
>>   global optimization) for derivative free optimization problems
>> - - A new category of quaternion-based transformations are available in
>> `scipy.spatial.transform`
>>
>> New features
>> ============
>>
>> `scipy.ndimage` improvements
>> - --------------------------------
>>
>> Proper spline coefficient calculations have been added for the ``mirror``,
>> ``wrap``, and ``reflect`` modes of `scipy.ndimage.rotate`
>>
>> `scipy.fftpack` improvements
>> - --------------------------------
>>
>> DCT-IV, DST-IV, DCT-I, and DST-I orthonormalization are now supported in
>> `scipy.fftpack`.
>>
>> `scipy.interpolate` improvements
>> - --------------------------------
>>
>> `scipy.interpolate.pade` now accepts a new argument for the order of the
>> numerator
>>
>> `scipy.cluster` improvements
>> - ----------------------------
>>
>> `scipy.cluster.vq.kmeans2` gained a new initialization method, kmeans++.
>>
>> `scipy.special` improvements
>> - ----------------------------
>>
>> The function ``softmax`` was added to `scipy.special`.
>>
>> `scipy.optimize` improvements
>> - -----------------------------
>>
>> The one-dimensional nonlinear solvers have been given a unified interface
>> `scipy.optimize.root_scalar`, similar to the `scipy.optimize.root`
>> interface
>> for multi-dimensional solvers. ``scipy.optimize.root_scalar(f, bracket=[a
>> ,b],
>> method="brenth")`` is equivalent to ``scipy.optimize.brenth(f, a ,b)``.
>> If no
>> ``method`` is specified, an appropriate one will be selected based upon
>> the
>> bracket and the number of derivatives available.
>>
>> The so-called Algorithm 748 of Alefeld, Potra and Shi for root-finding
>> within
>> an enclosing interval has been added as `scipy.optimize.toms748`. This
>> provides
>> guaranteed convergence to a root with convergence rate per function
>> evaluation
>> of approximately 1.65 (for sufficiently well-behaved functions.)
>>
>> ``differential_evolution`` now has the ``updating`` and ``workers``
>> keywords.
>> The first chooses between continuous updating of the best solution vector
>> (the
>> default), or once per generation. Continuous updating can lead to faster
>> convergence. The ``workers`` keyword accepts an ``int`` or map-like
>> callable,
>> and parallelises the solver (having the side effect of updating once per
>> generation). Supplying an ``int`` evaluates the trial solutions in N
>> parallel
>> parts. Supplying a map-like callable allows other parallelisation
>> approaches
>> (such as ``mpi4py``, or ``joblib``) to be used.
>>
>> ``dual_annealing`` (and ``shgo`` below) is a powerful new general purpose
>> global optizimation (GO) algorithm. ``dual_annealing`` uses two annealing
>> processes to accelerate the convergence towards the global minimum of an
>> objective mathematical function. The first annealing process controls the
>> stochastic Markov chain searching and the second annealing process
>> controls the
>> deterministic minimization. So, dual annealing is a hybrid method that
>> takes
>> advantage of stochastic and local deterministic searching in an efficient
>> way.
>>
>> ``shgo`` (simplicial homology global optimization) is a similar algorithm
>> appropriate for solving black box and derivative free optimization (DFO)
>> problems. The algorithm generally converges to the global solution in
>> finite
>> time. The convergence holds for non-linear inequality and
>> equality constraints. In addition to returning a global minimum, the
>> algorithm also returns any other global and local minima found after every
>> iteration. This makes it useful for exploring the solutions in a domain.
>>
>> `scipy.optimize.newton` can now accept a scalar or an array
>>
>> ``MINPACK`` usage is now thread-safe, such that ``MINPACK`` + callbacks
>> may
>> be used on multiple threads.
>>
>> `scipy.signal` improvements
>> - ---------------------------
>>
>> Digital filter design functions now include a parameter to specify the
>> sampling
>> rate. Previously, digital filters could only be specified using normalized
>> frequency, but different functions used different scales (e.g. 0 to 1 for
>> ``butter`` vs 0 to π for ``freqz``), leading to errors and confusion.
>> With
>> the ``fs`` parameter, ordinary frequencies can now be entered directly
>> into
>> functions, with the normalization handled internally.
>>
>> ``find_peaks`` and related functions no longer raise an exception if the
>> properties of a peak have unexpected values (e.g. a prominence of 0). A
>> ``PeakPropertyWarning`` is given instead.
>>
>> The new keyword argument ``plateau_size`` was added to ``find_peaks``.
>> ``plateau_size`` may be used to select peaks based on the length of the
>> flat top of a peak.
>>
>> ``welch()`` and ``csd()`` methods in `scipy.signal` now support
>> calculation
>> of a median average PSD, using ``average='mean'`` keyword
>>
>> `scipy.sparse` improvements
>> - ---------------------------
>>
>> The `scipy.sparse.bsr_matrix.tocsr` method is now implemented directly
>> instead
>> of converting via COO format, and the `scipy.sparse.bsr_matrix.tocsc`
>> method
>> is now also routed via CSR conversion instead of COO. The efficiency of
>> both
>> conversions is now improved.
>>
>> The issue where SuperLU or UMFPACK solvers crashed on matrices with
>> non-canonical format in `scipy.sparse.linalg` was fixed. The solver
>> wrapper
>> canonicalizes the matrix if necessary before calling the SuperLU or
>> UMFPACK
>> solver.
>>
>> The ``largest`` option of `scipy.sparse.linalg.lobpcg()` was fixed to have
>> a correct (and expected) behavior. The order of the eigenvalues was made
>> consistent with the ARPACK solver (``eigs()``), i.e. ascending for the
>> smallest eigenvalues, and descending for the largest eigenvalues.
>>
>> The `scipy.sparse.random` function is now faster and also supports
>> integer and
>> complex values by passing the appropriate value to the ``dtype`` argument.
>>
>> `scipy.spatial` improvements
>> - ----------------------------
>>
>> The function `scipy.spatial.distance.jaccard` was modified to return 0
>> instead
>> of ``np.nan`` when two all-zero vectors are compared.
>>
>> Support for the Jensen Shannon distance, the square-root of the
>> divergence, has
>> been added under `scipy.spatial.distance.jensenshannon`
>>
>> An optional keyword was added to the function
>> `scipy.spatial.cKDTree.query_ball_point()` to sort or not sort the
>> returned
>> indices. Not sorting the indices can speed up calls.
>>
>> A new category of quaternion-based transformations are available in
>> `scipy.spatial.transform`, including spherical linear interpolation of
>> rotations (``Slerp``), conversions to and from quaternions, Euler angles,
>> and general rotation and inversion capabilities
>> (`spatial.transform.Rotation`), and uniform random sampling of 3D
>> rotations (`spatial.transform.Rotation.random`).
>>
>> `scipy.stats` improvements
>> - --------------------------
>>
>> The Yeo-Johnson power transformation is now supported (``yeojohnson``,
>> ``yeojohnson_llf``, ``yeojohnson_normmax``, ``yeojohnson_normplot``).
>> Unlike
>> the Box-Cox transformation, the Yeo-Johnson transformation can accept
>> negative
>> values.
>>
>> Added a general method to sample random variates based on the density
>> only, in
>> the new function ``rvs_ratio_uniforms``.
>>
>> The Yule-Simon distribution (``yulesimon``) was added -- this is a new
>> discrete probability distribution.
>>
>> ``stats`` and ``mstats`` now have access to a new regression method,
>> ``siegelslopes``, a robust linear regression algorithm
>>
>> `scipy.stats.gaussian_kde` now has the ability to deal with weighted
>> samples,
>> and should have a modest improvement in performance
>>
>> Levy Stable Parameter Estimation, PDF, and CDF calculations are now
>> supported
>> for `scipy.stats.levy_stable`.
>>
>> The Brunner-Munzel test is now available as ``brunnermunzel`` in ``stats``
>> and ``mstats``
>>
>> `scipy.linalg` improvements
>> - --------------------------
>>
>> `scipy.linalg.lapack` now exposes the LAPACK routines using the
>> Rectangular
>> Full Packed storage (RFP) for upper triangular, lower triangular,
>> symmetric,
>> or Hermitian matrices; the upper trapezoidal fat matrix RZ decomposition
>> routines are now available as well.
>>
>> Deprecated features
>> ===================
>> The functions ``hyp2f0``, ``hyp1f2`` and ``hyp3f0`` in ``scipy.special``
>> have
>> been deprecated.
>>
>>
>> Backwards incompatible changes
>> ==============================
>>
>> LAPACK version 3.4.0 or later is now required. Building with
>> Apple Accelerate is no longer supported.
>>
>> The function ``scipy.linalg.subspace_angles(A, B)`` now gives correct
>> results for all angles. Before this, the function only returned
>> correct values for those angles which were greater than pi/4.
>>
>> Support for the Bento build system has been removed. Bento has not been
>> maintained for several years, and did not have good Python 3 or wheel
>> support,
>> hence it was time to remove it.
>>
>> The required signature of `scipy.optimize.lingprog` ``method=simplex``
>> callback function has changed. Before iteration begins, the simplex solver
>> first converts the problem into a standard form that does not, in general,
>> have the same variables or constraints
>> as the problem defined by the user. Previously, the simplex solver would
>> pass a
>> user-specified callback function several separate arguments, such as the
>> current solution vector ``xk``, corresponding to this standard form
>> problem.
>> Unfortunately, the relationship between the standard form problem and the
>> user-defined problem was not documented, limiting the utility of the
>> information passed to the callback function.
>>
>> In addition to numerous bug fix changes, the simplex solver now passes a
>> user-specified callback function a single ``OptimizeResult`` object
>> containing
>> information that corresponds directly to the user-defined problem. In
>> future
>> releases, this ``OptimizeResult`` object may be expanded to include
>> additional
>> information, such as variables corresponding to the standard-form problem
>> and
>> information concerning the relationship between the standard-form and
>> user-defined problems.
>>
>> The implementation of `scipy.sparse.random` has changed, and this affects
>> the
>> numerical values returned for both ``sparse.random`` and ``sparse.rand``
>> for
>> some matrix shapes and a given seed.
>>
>> `scipy.optimize.newton` will no longer use Halley's method in cases where
>> it
>> negatively impacts convergence
>>
>> Other changes
>> =============
>>
>>
>> Authors
>> =======
>>
>> * @endolith
>> * @luzpaz
>> * Hameer Abbasi +
>> * akahard2dj +
>> * Anton Akhmerov
>> * Joseph Albert
>> * alexthomas93 +
>> * ashish +
>> * atpage +
>> * Blair Azzopardi +
>> * Yoshiki Vázquez Baeza
>> * Bence Bagi +
>> * Christoph Baumgarten
>> * Lucas Bellomo +
>> * BH4 +
>> * Aditya Bharti
>> * Max Bolingbroke
>> * François Boulogne
>> * Ward Bradt +
>> * Matthew Brett
>> * Evgeni Burovski
>> * Rafał Byczek +
>> * Alfredo Canziani +
>> * CJ Carey
>> * Lucía Cheung +
>> * Poom Chiarawongse +
>> * Jeanne Choo +
>> * Robert Cimrman
>> * Graham Clenaghan +
>> * cynthia-rempel +
>> * Johannes Damp +
>> * Jaime Fernandez del Rio
>> * Dowon +
>> * emmi474 +
>> * Stefan Endres +
>> * Thomas Etherington +
>> * Alex Fikl +
>> * fo40225 +
>> * Joseph Fox-Rabinovitz
>> * Lars G
>> * Abhinav Gautam +
>> * Stiaan Gerber +
>> * C.A.M. Gerlach +
>> * Ralf Gommers
>> * Todd Goodall
>> * Lars Grueter +
>> * Sylvain Gubian +
>> * Matt Haberland
>> * David Hagen
>> * Will Handley +
>> * Charles Harris
>> * Ian Henriksen
>> * Thomas Hisch +
>> * Theodore Hu
>> * Michael Hudson-Doyle +
>> * Nicolas Hug +
>> * jakirkham +
>> * Jakob Jakobson +
>> * James +
>> * Jan Schlüter
>> * jeanpauphilet +
>> * josephmernst +
>> * Kai +
>> * Kai-Striega +
>> * kalash04 +
>> * Toshiki Kataoka +
>> * Konrad0 +
>> * Tom Krauss +
>> * Johannes Kulick
>> * Lars Grüter +
>> * Eric Larson
>> * Denis Laxalde
>> * Will Lee +
>> * Katrin Leinweber +
>> * Yin Li +
>> * P. L. Lim +
>> * Jesse Livezey +
>> * Duncan Macleod +
>> * MatthewFlamm +
>> * Nikolay Mayorov
>> * Mike McClurg +
>> * Christian Meyer +
>> * Mark Mikofski
>> * Naoto Mizuno +
>> * mohmmadd +
>> * Nathan Musoke
>> * Anju Geetha Nair +
>> * Andrew Nelson
>> * Ayappan P +
>> * Nick Papior
>> * Haesun Park +
>> * Ronny Pfannschmidt +
>> * pijyoi +
>> * Ilhan Polat
>> * Anthony Polloreno +
>> * Ted Pudlik
>> * puenka
>> * Eric Quintero
>> * Pradeep Reddy Raamana +
>> * Vyas Ramasubramani +
>> * Ramon Viñas +
>> * Tyler Reddy
>> * Joscha Reimer
>> * Antonio H Ribeiro
>> * richardjgowers +
>> * Rob +
>> * robbystk +
>> * Lucas Roberts +
>> * rohan +
>> * Joaquin Derrac Rus +
>> * Josua Sassen +
>> * Bruce Sharpe +
>> * Max Shinn +
>> * Scott Sievert
>> * Sourav Singh
>> * Strahinja Lukić +
>> * Kai Striega +
>> * Shinya SUZUKI +
>> * Mike Toews +
>> * Piotr Uchwat
>> * Miguel de Val-Borro +
>> * Nicky van Foreest
>> * Paul van Mulbregt
>> * Gael Varoquaux
>> * Pauli Virtanen
>> * Stefan van der Walt
>> * Warren Weckesser
>> * Joshua Wharton +
>> * Bernhard M. Wiedemann +
>> * Eric Wieser
>> * Josh Wilson
>> * Tony Xiang +
>> * Roman Yurchak +
>> * Roy Zywina +
>>
>> A total of 137 people contributed to this release.
>> People with a "+" by their names contributed a patch for the first time.
>> This list of names is automatically generated, and may not be fully
>> complete.
>>
>> Issues closed for 1.2.0
>> - -----------------------
>>
>> * `#1240 <https://github.com/scipy/scipy/issues/1240>`__: Allowing
>> multithreaded use of minpack through scipy.optimize...
>> * `#1432 <https://github.com/scipy/scipy/issues/1432>`__:
>> scipy.stats.mode extremely slow (Trac #905)
>> * `#3372 <https://github.com/scipy/scipy/issues/3372>`__: Please add
>> Sphinx search field to online scipy html docs
>> * `#3678 <https://github.com/scipy/scipy/issues/3678>`__:
>> _clough_tocher_2d_single direction between centroids
>> * `#4174 <https://github.com/scipy/scipy/issues/4174>`__: lobpcg
>> "largest" option invalid?
>> * `#5493 <https://github.com/scipy/scipy/issues/5493>`__: anderson_ksamp
>> p-values>1
>> * `#5743 <https://github.com/scipy/scipy/issues/5743>`__: slsqp fails to
>> detect infeasible problem
>> * `#6139 <https://github.com/scipy/scipy/issues/6139>`__:
>> scipy.optimize.linprog failed to find a feasible starting point...
>> * `#6358 <https://github.com/scipy/scipy/issues/6358>`__: stats:
>> docstring for `vonmises_line` points to `vonmises_line`...
>> * `#6498 <https://github.com/scipy/scipy/issues/6498>`__: runtests.py is
>> missing in pypi distfile
>> * `#7426 <https://github.com/scipy/scipy/issues/7426>`__:
>> scipy.stats.ksone(n).pdf(x) returns nan for positive values of...
>> * `#7455 <https://github.com/scipy/scipy/issues/7455>`__:
>> scipy.stats.ksone.pdf(2,x) return incorrect values for x near...
>> * `#7456 <https://github.com/scipy/scipy/issues/7456>`__:
>> scipy.special.smirnov and scipy.special.smirnovi have accuracy...
>> * `#7492 <https://github.com/scipy/scipy/issues/7492>`__:
>> scipy.special.kolmogorov(x)/kolmogi(p) inefficient, inaccurate...
>> * `#7914 <https://github.com/scipy/scipy/issues/7914>`__: TravisCI not
>> failing when it should for -OO run
>> * `#8064 <https://github.com/scipy/scipy/issues/8064>`__: linalg.solve
>> test crashes on Windows
>> * `#8212 <https://github.com/scipy/scipy/issues/8212>`__: LAPACK
>> Rectangular Full Packed routines
>> * `#8256 <https://github.com/scipy/scipy/issues/8256>`__:
>> differential_evolution bug converges to wrong results in complex...
>> * `#8443 <https://github.com/scipy/scipy/issues/8443>`__: Deprecate
>> `hyp2f0`, `hyp1f2`, and `hyp3f0`?
>> * `#8452 <https://github.com/scipy/scipy/issues/8452>`__: DOC: ARPACK
>> tutorial has two conflicting equations
>> * `#8680 <https://github.com/scipy/scipy/issues/8680>`__: scipy fails
>> compilation when building from source
>> * `#8686 <https://github.com/scipy/scipy/issues/8686>`__: Division by
>> zero in _trustregion.py when x0 is exactly equal...
>> * `#8700 <https://github.com/scipy/scipy/issues/8700>`__: _MINPACK_LOCK
>> not held when calling into minpack from least_squares
>> * `#8786 <https://github.com/scipy/scipy/issues/8786>`__: erroneous
>> moment values for t-distribution
>> * `#8791 <https://github.com/scipy/scipy/issues/8791>`__: Checking COLA
>> condition in istft should be optional (or omitted)
>> * `#8843 <https://github.com/scipy/scipy/issues/8843>`__: imresize
>> cannot be deprecated just yet
>> * `#8844 <https://github.com/scipy/scipy/issues/8844>`__: Inverse
>> Wishart Log PDF Incorrect for Non-diagonal Scale Matrix?
>> * `#8878 <https://github.com/scipy/scipy/issues/8878>`__: vonmises and
>> vonmises_line in stats: vonmises wrong and superfluous?
>> * `#8895 <https://github.com/scipy/scipy/issues/8895>`__: v1.1.0
>> `ndi.rotate` documentation – reused parameters not filled...
>> * `#8900 <https://github.com/scipy/scipy/issues/8900>`__: Missing
>> complex conjugation in scipy.sparse.linalg.LinearOperator
>> * `#8904 <https://github.com/scipy/scipy/issues/8904>`__: BUG: if zero
>> derivative at root, then Newton fails with RuntimeWarning
>> * `#8911 <https://github.com/scipy/scipy/issues/8911>`__:
>> make_interp_spline bc_type incorrect input interpretation
>> * `#8942 <https://github.com/scipy/scipy/issues/8942>`__: MAINT:
>> Refactor `_linprog.py` and `_linprog_ip.py` to remove...
>> * `#8947 <https://github.com/scipy/scipy/issues/8947>`__: np.int64 in
>> scipy.fftpack.next_fast_len
>> * `#9020 <https://github.com/scipy/scipy/issues/9020>`__: BUG:
>> linalg.subspace_angles gives wrong results
>> * `#9033 <https://github.com/scipy/scipy/issues/9033>`__:
>> scipy.stats.normaltest sometimes gives incorrect returns b/c...
>> * `#9036 <https://github.com/scipy/scipy/issues/9036>`__: Bizarre times
>> for `scipy.sparse.rand` function with 'low' density...
>> * `#9044 <https://github.com/scipy/scipy/issues/9044>`__:
>> optimize.minimize(method=`trust-constr`) result dict does not...
>> * `#9071 <https://github.com/scipy/scipy/issues/9071>`__: doc/linalg:
>> add cho_solve_banded to see also of cholesky_banded
>> * `#9082 <https://github.com/scipy/scipy/issues/9082>`__: eigenvalue
>> sorting in scipy.sparse.linalg.eigsh
>> * `#9086 <https://github.com/scipy/scipy/issues/9086>`__:
>> signaltools.py:491: FutureWarning: Using a non-tuple sequence...
>> * `#9091 <https://github.com/scipy/scipy/issues/9091>`__:
>> test_spline_filter failure on 32-bit
>> * `#9122 <https://github.com/scipy/scipy/issues/9122>`__: Typo on scipy
>> minimization tutorial
>> * `#9135 <https://github.com/scipy/scipy/issues/9135>`__: doc error at
>> https://docs.scipy.org/doc/scipy/reference/tutorial/stats/discrete_poisson.html
>> * `#9167 <https://github.com/scipy/scipy/issues/9167>`__: DOC: BUG: typo
>> in ndimage LowLevelCallable tutorial example
>> * `#9169 <https://github.com/scipy/scipy/issues/9169>`__: truncnorm does
>> not work if b < a in scipy.stats
>> * `#9250 <https://github.com/scipy/scipy/issues/9250>`__:
>> scipy.special.tests.test_mpmath::TestSystematic::test_pcfw fails...
>> * `#9259 <https://github.com/scipy/scipy/issues/9259>`__: rv.expect() ==
>> rv.mean() is false for rv.mean() == nan (and inf)
>> * `#9286 <https://github.com/scipy/scipy/issues/9286>`__: DOC:
>> Rosenbrock expression in optimize.minimize tutorial
>> * `#9316 <https://github.com/scipy/scipy/issues/9316>`__: SLSQP fails in
>> nested optimization
>> * `#9337 <https://github.com/scipy/scipy/issues/9337>`__:
>> scipy.signal.find_peaks key typo in documentation
>> * `#9345 <https://github.com/scipy/scipy/issues/9345>`__: Example from
>> documentation of scipy.sparse.linalg.eigs raises...
>> * `#9383 <https://github.com/scipy/scipy/issues/9383>`__: Default value
>> for "mode" in "ndimage.shift"
>> * `#9419 <https://github.com/scipy/scipy/issues/9419>`__: dual_annealing
>> off by one in the number of iterations
>> * `#9442 <https://github.com/scipy/scipy/issues/9442>`__: Error in
>> Defintion of Rosenbrock Function
>> * `#9453 <https://github.com/scipy/scipy/issues/9453>`__: TST:
>> test_eigs_consistency() doesn't have consistent results
>>
>>
>> Pull requests for 1.2.0
>> - -----------------------
>>
>> * `#7352 <https://github.com/scipy/scipy/pull/7352>`__: ENH: add Brunner
>> Munzel test to scipy.stats.
>> * `#7373 <https://github.com/scipy/scipy/pull/7373>`__: BUG: Jaccard
>> distance for all-zero arrays would return np.nan
>> * `#7374 <https://github.com/scipy/scipy/pull/7374>`__: ENH: Add PDF,
>> CDF and parameter estimation for Stable Distributions
>> * `#8098 <https://github.com/scipy/scipy/pull/8098>`__: ENH: Add shgo
>> for global optimization of NLPs.
>> * `#8203 <https://github.com/scipy/scipy/pull/8203>`__: ENH: adding
>> simulated dual annealing to optimize
>> * `#8259 <https://github.com/scipy/scipy/pull/8259>`__: Option to follow
>> original Storn and Price algorithm and its parallelisation
>> * `#8293 <https://github.com/scipy/scipy/pull/8293>`__: ENH add
>> ratio-of-uniforms method for rv generation to scipy.stats
>> * `#8294 <https://github.com/scipy/scipy/pull/8294>`__: BUG: Fix
>> slowness in stats.mode
>> * `#8295 <https://github.com/scipy/scipy/pull/8295>`__: ENH: add Jensen
>> Shannon distance to `scipy.spatial.distance`
>> * `#8357 <https://github.com/scipy/scipy/pull/8357>`__: ENH: vectorize
>> scalar zero-search-functions
>> * `#8397 <https://github.com/scipy/scipy/pull/8397>`__: Add `fs=`
>> parameter to filter design functions
>> * `#8537 <https://github.com/scipy/scipy/pull/8537>`__: ENH: Implement
>> mode parameter for spline filtering.
>> * `#8558 <https://github.com/scipy/scipy/pull/8558>`__: ENH: small
>> speedup for stats.gaussian_kde
>> * `#8560 <https://github.com/scipy/scipy/pull/8560>`__: BUG: fix p-value
>> calc of anderson_ksamp in scipy.stats
>> * `#8614 <https://github.com/scipy/scipy/pull/8614>`__: ENH: correct
>> p-values for stats.kendalltau and stats.mstats.kendalltau
>> * `#8670 <https://github.com/scipy/scipy/pull/8670>`__: ENH: Require
>> Lapack 3.4.0
>> * `#8683 <https://github.com/scipy/scipy/pull/8683>`__: Correcting
>> kmeans documentation
>> * `#8725 <https://github.com/scipy/scipy/pull/8725>`__: MAINT: Cleanup
>> scipy.optimize.leastsq
>> * `#8726 <https://github.com/scipy/scipy/pull/8726>`__: BUG: Fix
>> _get_output in scipy.ndimage to support string
>> * `#8733 <https://github.com/scipy/scipy/pull/8733>`__: MAINT: stats: A
>> bit of clean up.
>> * `#8737 <https://github.com/scipy/scipy/pull/8737>`__: BUG: Improve
>> numerical precision/convergence failures of smirnov/kolmogorov
>> * `#8738 <https://github.com/scipy/scipy/pull/8738>`__: MAINT: stats: A
>> bit of clean up in test_distributions.py.
>> * `#8740 <https://github.com/scipy/scipy/pull/8740>`__: BF/ENH: make
>> minpack thread safe
>> * `#8742 <https://github.com/scipy/scipy/pull/8742>`__: BUG: Fix
>> division by zero in trust-region optimization methods
>> * `#8746 <https://github.com/scipy/scipy/pull/8746>`__: MAINT: signal:
>> Fix a docstring of a private function, and fix...
>> * `#8750 <https://github.com/scipy/scipy/pull/8750>`__: DOC clarified
>> description of norminvgauss in scipy.stats
>> * `#8753 <https://github.com/scipy/scipy/pull/8753>`__: DOC: signal: Fix
>> a plot title in the chirp docstring.
>> * `#8755 <https://github.com/scipy/scipy/pull/8755>`__: DOC: MAINT: Fix
>> link to the wheel documentation in developer...
>> * `#8760 <https://github.com/scipy/scipy/pull/8760>`__: BUG: stats:
>> boltzmann wasn't setting the upper bound.
>> * `#8763 <https://github.com/scipy/scipy/pull/8763>`__: [DOC] Improved
>> scipy.cluster.hierarchy documentation
>> * `#8765 <https://github.com/scipy/scipy/pull/8765>`__: DOC: added
>> example for scipy.stat.mstats.tmin
>> * `#8788 <https://github.com/scipy/scipy/pull/8788>`__: DOC: fix
>> definition of optional `disp` parameter
>> * `#8802 <https://github.com/scipy/scipy/pull/8802>`__: MAINT: Suppress
>> dd_real unused function compiler warnings.
>> * `#8803 <https://github.com/scipy/scipy/pull/8803>`__: ENH: Add
>> full_output support to optimize.newton()
>> * `#8804 <https://github.com/scipy/scipy/pull/8804>`__: MAINT: stats
>> cleanup
>> * `#8808 <https://github.com/scipy/scipy/pull/8808>`__: DOC: add note
>> about isinstance for frozen rvs
>> * `#8812 <https://github.com/scipy/scipy/pull/8812>`__: Updated numpydoc
>> submodule
>> * `#8813 <https://github.com/scipy/scipy/pull/8813>`__: MAINT: stats:
>> Fix multinomial docstrings, and do some clean up.
>> * `#8816 <https://github.com/scipy/scipy/pull/8816>`__: BUG: fixed
>> _stats of t-distribution in scipy.stats
>> * `#8817 <https://github.com/scipy/scipy/pull/8817>`__: BUG: ndimage:
>> Fix validation of the origin argument in correlate...
>> * `#8822 <https://github.com/scipy/scipy/pull/8822>`__: BUG: integrate:
>> Fix crash with repeated t values in odeint.
>> * `#8832 <https://github.com/scipy/scipy/pull/8832>`__: Hyperlink DOIs
>> against preferred resolver
>> * `#8837 <https://github.com/scipy/scipy/pull/8837>`__: BUG: sparse:
>> Ensure correct dtype for sparse comparison operations.
>> * `#8839 <https://github.com/scipy/scipy/pull/8839>`__: DOC: stats: A
>> few tweaks to the linregress docstring.
>> * `#8846 <https://github.com/scipy/scipy/pull/8846>`__: BUG: stats: Fix
>> logpdf method of invwishart.
>> * `#8849 <https://github.com/scipy/scipy/pull/8849>`__: DOC: signal:
>> Fixed mistake in the firwin docstring.
>> * `#8854 <https://github.com/scipy/scipy/pull/8854>`__: DOC: fix type
>> descriptors in ltisys documentation
>> * `#8865 <https://github.com/scipy/scipy/pull/8865>`__: Fix tiny typo in
>> docs for chi2 pdf
>> * `#8870 <https://github.com/scipy/scipy/pull/8870>`__: Fixes related to
>> invertibility of STFT
>> * `#8872 <https://github.com/scipy/scipy/pull/8872>`__: ENH: special:
>> Add the softmax function
>> * `#8874 <https://github.com/scipy/scipy/pull/8874>`__: DOC correct
>> gamma function in docstrings in scipy.stats
>> * `#8876 <https://github.com/scipy/scipy/pull/8876>`__: ENH: Added TOMS
>> Algorithm 748 as 1-d root finder; 17 test function...
>> * `#8882 <https://github.com/scipy/scipy/pull/8882>`__: ENH: Only use
>> Halley's adjustment to Newton if close enough.
>> * `#8883 <https://github.com/scipy/scipy/pull/8883>`__: FIX: optimize:
>> make jac and hess truly optional for 'trust-constr'
>> * `#8885 <https://github.com/scipy/scipy/pull/8885>`__: TST: Do not
>> error on warnings raised about non-tuple indexing.
>> * `#8887 <https://github.com/scipy/scipy/pull/8887>`__: MAINT: filter
>> out np.matrix PendingDeprecationWarning's in numpy...
>> * `#8889 <https://github.com/scipy/scipy/pull/8889>`__: DOC: optimize:
>> separate legacy interfaces from new ones
>> * `#8890 <https://github.com/scipy/scipy/pull/8890>`__: ENH: Add
>> optimize.root_scalar() as a universal dispatcher for...
>> * `#8899 <https://github.com/scipy/scipy/pull/8899>`__: DCT-IV, DST-IV
>> and DCT-I, DST-I orthonormalization support in...
>> * `#8901 <https://github.com/scipy/scipy/pull/8901>`__: MAINT:
>> Reorganize flapack.pyf.src file
>> * `#8907 <https://github.com/scipy/scipy/pull/8907>`__: BUG: ENH: Check
>> if guess for newton is already zero before checking...
>> * `#8908 <https://github.com/scipy/scipy/pull/8908>`__: ENH: Make
>> sorting optional for cKDTree.query_ball_point()
>> * `#8910 <https://github.com/scipy/scipy/pull/8910>`__: DOC:
>> sparse.csgraph simple examples.
>> * `#8914 <https://github.com/scipy/scipy/pull/8914>`__: DOC:
>> interpolate: fix equivalences of string aliases
>> * `#8918 <https://github.com/scipy/scipy/pull/8918>`__: add
>> float_control(precise, on) to _fpumode.c
>> * `#8919 <https://github.com/scipy/scipy/pull/8919>`__: MAINT:
>> interpolate: improve error messages for common `bc_type`...
>> * `#8920 <https://github.com/scipy/scipy/pull/8920>`__: DOC: update
>> Contributing to SciPy to say "prefer no PEP8 only...
>> * `#8924 <https://github.com/scipy/scipy/pull/8924>`__: MAINT: special:
>> deprecate `hyp2f0`, `hyp1f2`, and `hyp3f0`
>> * `#8927 <https://github.com/scipy/scipy/pull/8927>`__: MAINT: special:
>> remove `errprint`
>> * `#8932 <https://github.com/scipy/scipy/pull/8932>`__: Fix broadcasting
>> scale arg of entropy
>> * `#8936 <https://github.com/scipy/scipy/pull/8936>`__: Fix (some)
>> non-tuple index warnings
>> * `#8937 <https://github.com/scipy/scipy/pull/8937>`__: ENH: implement
>> sparse matrix BSR to CSR conversion directly.
>> * `#8938 <https://github.com/scipy/scipy/pull/8938>`__: DOC: add
>> @_ni_docstrings.docfiller in ndimage.rotate
>> * `#8940 <https://github.com/scipy/scipy/pull/8940>`__: Update
>> _discrete_distns.py
>> * `#8943 <https://github.com/scipy/scipy/pull/8943>`__: DOC: Finish
>> dangling sentence in `convolve` docstring
>> * `#8944 <https://github.com/scipy/scipy/pull/8944>`__: MAINT: Address
>> tuple indexing and warnings
>> * `#8945 <https://github.com/scipy/scipy/pull/8945>`__: ENH:
>> spatial.transform.Rotation [GSOC2018]
>> * `#8950 <https://github.com/scipy/scipy/pull/8950>`__: csgraph Dijkstra
>> function description rewording
>> * `#8953 <https://github.com/scipy/scipy/pull/8953>`__: DOC, MAINT: HTTP
>> -> HTTPS, and other linkrot fixes
>> * `#8955 <https://github.com/scipy/scipy/pull/8955>`__: BUG: np.int64 in
>> scipy.fftpack.next_fast_len
>> * `#8958 <https://github.com/scipy/scipy/pull/8958>`__: MAINT: Add more
>> descriptive error message for phase one simplex.
>> * `#8962 <https://github.com/scipy/scipy/pull/8962>`__: BUG:
>> sparse.linalg: add missing conjugate to _ScaledLinearOperator.adjoint
>> * `#8963 <https://github.com/scipy/scipy/pull/8963>`__: BUG:
>> sparse.linalg: downgrade LinearOperator TypeError to warning
>> * `#8965 <https://github.com/scipy/scipy/pull/8965>`__: ENH: Wrapped RFP
>> format and RZ decomposition routines
>> * `#8969 <https://github.com/scipy/scipy/pull/8969>`__: MAINT: doc and
>> code fixes for optimize.newton
>> * `#8970 <https://github.com/scipy/scipy/pull/8970>`__: Added 'average'
>> keyword for welch/csd to enable median averaging
>> * `#8971 <https://github.com/scipy/scipy/pull/8971>`__: Better imresize
>> deprecation warning
>> * `#8972 <https://github.com/scipy/scipy/pull/8972>`__: MAINT: Switch
>> np.where(c) for np.nonzero(c)
>> * `#8975 <https://github.com/scipy/scipy/pull/8975>`__: MAINT: Fix
>> warning-based failures
>> * `#8979 <https://github.com/scipy/scipy/pull/8979>`__: DOC: fix
>> description of count_sort keyword of dendrogram
>> * `#8982 <https://github.com/scipy/scipy/pull/8982>`__: MAINT: optimize:
>> Fixed minor mistakes in test_linprog.py (#8978)
>> * `#8984 <https://github.com/scipy/scipy/pull/8984>`__: BUG:
>> sparse.linalg: ensure expm casts integer inputs to float
>> * `#8986 <https://github.com/scipy/scipy/pull/8986>`__: BUG:
>> optimize/slsqp: do not exit with convergence on steps where...
>> * `#8989 <https://github.com/scipy/scipy/pull/8989>`__: MAINT: use
>> collections.abc in basinhopping
>> * `#8990 <https://github.com/scipy/scipy/pull/8990>`__: ENH extend
>> p-values of anderson_ksamp in scipy.stats
>> * `#8991 <https://github.com/scipy/scipy/pull/8991>`__: ENH: Weighted kde
>> * `#8993 <https://github.com/scipy/scipy/pull/8993>`__: ENH:
>> spatial.transform.Rotation.random [GSOC 2018]
>> * `#8994 <https://github.com/scipy/scipy/pull/8994>`__: ENH:
>> spatial.transform.Slerp [GSOC 2018]
>> * `#8995 <https://github.com/scipy/scipy/pull/8995>`__: TST: time.time
>> in test
>> * `#9007 <https://github.com/scipy/scipy/pull/9007>`__: Fix typo in
>> fftpack.rst
>> * `#9013 <https://github.com/scipy/scipy/pull/9013>`__: Added correct
>> plotting code for two sided output from spectrogram
>> * `#9014 <https://github.com/scipy/scipy/pull/9014>`__: BUG:
>> differential_evolution with inf objective functions
>> * `#9017 <https://github.com/scipy/scipy/pull/9017>`__: BUG: fixed #8446
>> corner case for asformat(array|dense)
>> * `#9018 <https://github.com/scipy/scipy/pull/9018>`__: MAINT:
>> _lib/ccallback: remove unused code
>> * `#9021 <https://github.com/scipy/scipy/pull/9021>`__: BUG: Issue with
>> subspace_angles
>> * `#9022 <https://github.com/scipy/scipy/pull/9022>`__: DOC: Added "See
>> Also" section to lombscargle docstring
>> * `#9034 <https://github.com/scipy/scipy/pull/9034>`__: BUG: Fix
>> tolerance printing behavior, remove meaningless tol...
>> * `#9035 <https://github.com/scipy/scipy/pull/9035>`__: TST: improve
>> signal.bsplines test coverage
>> * `#9037 <https://github.com/scipy/scipy/pull/9037>`__: ENH: add a new
>> init method for k-means
>> * `#9039 <https://github.com/scipy/scipy/pull/9039>`__: DOC: Add
>> examples to fftpack.irfft docstrings
>> * `#9048 <https://github.com/scipy/scipy/pull/9048>`__: ENH:
>> scipy.sparse.random
>> * `#9050 <https://github.com/scipy/scipy/pull/9050>`__: BUG:
>> scipy.io.hb_write: fails for matrices not in csc format
>> * `#9051 <https://github.com/scipy/scipy/pull/9051>`__: MAINT: Fix slow
>> sparse.rand for k < mn/3 (#9036).
>> * `#9054 <https://github.com/scipy/scipy/pull/9054>`__: MAINT: spatial:
>> Explicitly initialize LAPACK output parameters.
>> * `#9055 <https://github.com/scipy/scipy/pull/9055>`__: DOC: Add
>> examples to scipy.special docstrings
>> * `#9056 <https://github.com/scipy/scipy/pull/9056>`__: ENH: Use one
>> thread in OpenBLAS
>> * `#9059 <https://github.com/scipy/scipy/pull/9059>`__: DOC: Update
>> README with link to Code of Conduct
>> * `#9060 <https://github.com/scipy/scipy/pull/9060>`__: BLD: remove
>> support for the Bento build system.
>> * `#9062 <https://github.com/scipy/scipy/pull/9062>`__: DOC add sections
>> to overview in scipy.stats
>> * `#9066 <https://github.com/scipy/scipy/pull/9066>`__: BUG: Correct
>> "remez" error message
>> * `#9069 <https://github.com/scipy/scipy/pull/9069>`__: DOC: update
>> linalg section of roadmap for LAPACK versions.
>> * `#9079 <https://github.com/scipy/scipy/pull/9079>`__: MAINT: add
>> spatial.transform to refguide check; complete some...
>> * `#9081 <https://github.com/scipy/scipy/pull/9081>`__: MAINT: Add
>> warnings if pivot value is close to tolerance in linprog(method='simplex')
>> * `#9084 <https://github.com/scipy/scipy/pull/9084>`__: BUG fix
>> incorrect p-values of kurtosistest in scipy.stats
>> * `#9095 <https://github.com/scipy/scipy/pull/9095>`__: DOC: add
>> sections to mstats overview in scipy.stats
>> * `#9096 <https://github.com/scipy/scipy/pull/9096>`__: BUG: Add test
>> for Stackoverflow example from issue 8174.
>> * `#9101 <https://github.com/scipy/scipy/pull/9101>`__: ENH: add Siegel
>> slopes (robust regression) to scipy.stats
>> * `#9105 <https://github.com/scipy/scipy/pull/9105>`__: allow
>> resample_poly() to output float32 for float32 inputs.
>> * `#9112 <https://github.com/scipy/scipy/pull/9112>`__: MAINT: optimize:
>> make trust-constr accept constraint dict (#9043)
>> * `#9118 <https://github.com/scipy/scipy/pull/9118>`__: Add doc entry to
>> cholesky_banded
>> * `#9120 <https://github.com/scipy/scipy/pull/9120>`__: eigsh
>> documentation parameters
>> * `#9125 <https://github.com/scipy/scipy/pull/9125>`__: interpolative:
>> correctly reconstruct full rank matrices
>> * `#9126 <https://github.com/scipy/scipy/pull/9126>`__: MAINT: Use
>> warnings for unexpected peak properties
>> * `#9129 <https://github.com/scipy/scipy/pull/9129>`__: BUG: Do not
>> catch and silence KeyboardInterrupt
>> * `#9131 <https://github.com/scipy/scipy/pull/9131>`__: DOC: Correct the
>> typo in scipy.optimize tutorial page
>> * `#9133 <https://github.com/scipy/scipy/pull/9133>`__: FIX: Avoid use
>> of bare except
>> * `#9134 <https://github.com/scipy/scipy/pull/9134>`__: DOC: Update of
>> 'return_eigenvectors' description
>> * `#9137 <https://github.com/scipy/scipy/pull/9137>`__: DOC: typo fixes
>> for discrete Poisson tutorial
>> * `#9139 <https://github.com/scipy/scipy/pull/9139>`__: FIX: Doctest
>> failure in optimize tutorial
>> * `#9143 <https://github.com/scipy/scipy/pull/9143>`__: DOC: missing
>> sigma in Pearson r formula
>> * `#9145 <https://github.com/scipy/scipy/pull/9145>`__: MAINT: Refactor
>> linear programming solvers
>> * `#9149 <https://github.com/scipy/scipy/pull/9149>`__: FIX: Make
>> scipy.odr.ODR ifixx equal to its data.fix if given
>> * `#9156 <https://github.com/scipy/scipy/pull/9156>`__: DOC: special:
>> Mention the sigmoid function in the expit docstring.
>> * `#9160 <https://github.com/scipy/scipy/pull/9160>`__: Fixed a latex
>> delimiter error in levy()
>> * `#9170 <https://github.com/scipy/scipy/pull/9170>`__: DOC: correction
>> / update of docstrings of distributions in scipy.stats
>> * `#9171 <https://github.com/scipy/scipy/pull/9171>`__: better
>> description of the hierarchical clustering parameter
>> * `#9174 <https://github.com/scipy/scipy/pull/9174>`__: domain check for
>> a < b in stats.truncnorm
>> * `#9175 <https://github.com/scipy/scipy/pull/9175>`__: DOC: Minor
>> grammar fix
>> * `#9176 <https://github.com/scipy/scipy/pull/9176>`__: BUG:
>> CloughTocher2DInterpolator: fix miscalculation at neighborless...
>> * `#9177 <https://github.com/scipy/scipy/pull/9177>`__: BUILD: Document
>> the "clean" target in the doc/Makefile.
>> * `#9178 <https://github.com/scipy/scipy/pull/9178>`__: MAINT: make
>> refguide-check more robust for printed numpy arrays
>> * `#9186 <https://github.com/scipy/scipy/pull/9186>`__: MAINT: Remove
>> np.ediff1d occurence
>> * `#9188 <https://github.com/scipy/scipy/pull/9188>`__: DOC: correct
>> typo in extending ndimage with C
>> * `#9190 <https://github.com/scipy/scipy/pull/9190>`__: ENH: Support
>> specifying axes for fftconvolve
>> * `#9192 <https://github.com/scipy/scipy/pull/9192>`__: MAINT: optimize:
>> fixed @pv style suggestions from #9112
>> * `#9200 <https://github.com/scipy/scipy/pull/9200>`__: Fix
>> make_interp_spline(..., k=0 or 1, axis<0)
>> * `#9201 <https://github.com/scipy/scipy/pull/9201>`__: BUG:
>> sparse.linalg/gmres: use machine eps in breakdown check
>> * `#9204 <https://github.com/scipy/scipy/pull/9204>`__: MAINT: fix up
>> stats.spearmanr and match mstats.spearmanr with...
>> * `#9206 <https://github.com/scipy/scipy/pull/9206>`__: MAINT: include
>> benchmarks and dev files in sdist.
>> * `#9208 <https://github.com/scipy/scipy/pull/9208>`__: TST: signal:
>> bump bsplines test tolerance for complex data
>> * `#9210 <https://github.com/scipy/scipy/pull/9210>`__: TST: mark tests
>> as slow, fix missing random seed
>> * `#9211 <https://github.com/scipy/scipy/pull/9211>`__: ENH: add
>> capability to specify orders in pade func
>> * `#9217 <https://github.com/scipy/scipy/pull/9217>`__: MAINT: Include
>> ``success`` and ``nit`` in OptimizeResult returned...
>> * `#9222 <https://github.com/scipy/scipy/pull/9222>`__: ENH:
>> interpolate: Use scipy.spatial.distance to speed-up Rbf
>> * `#9229 <https://github.com/scipy/scipy/pull/9229>`__: MNT: Fix Fourier
>> filter double case
>> * `#9233 <https://github.com/scipy/scipy/pull/9233>`__: BUG:
>> spatial/distance: fix pdist/cdist performance regression...
>> * `#9234 <https://github.com/scipy/scipy/pull/9234>`__: FIX: Proper
>> suppression
>> * `#9235 <https://github.com/scipy/scipy/pull/9235>`__: BENCH:
>> rationalize slow benchmarks + miscellaneous fixes
>> * `#9238 <https://github.com/scipy/scipy/pull/9238>`__: BENCH: limit
>> number of parameter combinations in spatial.*KDTree...
>> * `#9239 <https://github.com/scipy/scipy/pull/9239>`__: DOC: stats: Fix
>> LaTeX markup of a couple distribution PDFs.
>> * `#9241 <https://github.com/scipy/scipy/pull/9241>`__: ENH: Evaluate
>> plateau size during peak finding
>> * `#9242 <https://github.com/scipy/scipy/pull/9242>`__: ENH: stats:
>> Implement _ppf and _logpdf for crystalball, and do...
>> * `#9246 <https://github.com/scipy/scipy/pull/9246>`__: DOC: Properly
>> render versionadded directive in HTML documentation
>> * `#9255 <https://github.com/scipy/scipy/pull/9255>`__: DOC: mention
>> RootResults in optimization reference guide
>> * `#9260 <https://github.com/scipy/scipy/pull/9260>`__: TST: relax some
>> tolerances so tests pass with x87 math
>> * `#9264 <https://github.com/scipy/scipy/pull/9264>`__: TST Use
>> assert_raises "match" parameter instead of the "message"...
>> * `#9267 <https://github.com/scipy/scipy/pull/9267>`__: DOC: clarify
>> expect() return val when moment is inf/nan
>> * `#9272 <https://github.com/scipy/scipy/pull/9272>`__: DOC: Add
>> description of default bounds to linprog
>> * `#9277 <https://github.com/scipy/scipy/pull/9277>`__: MAINT:
>> sparse/linalg: make test deterministic
>> * `#9278 <https://github.com/scipy/scipy/pull/9278>`__: MAINT:
>> interpolate: pep8 cleanup in test_polyint
>> * `#9279 <https://github.com/scipy/scipy/pull/9279>`__: Fixed docstring
>> for resample
>> * `#9280 <https://github.com/scipy/scipy/pull/9280>`__: removed first
>> check for float in get_sum_dtype
>> * `#9281 <https://github.com/scipy/scipy/pull/9281>`__: BUG: only accept
>> 1d input for bartlett / levene in scipy.stats
>> * `#9282 <https://github.com/scipy/scipy/pull/9282>`__: MAINT:
>> dense_output and t_eval are mutually exclusive inputs
>> * `#9283 <https://github.com/scipy/scipy/pull/9283>`__: MAINT: add docs
>> and do some cleanups in interpolate.Rbf
>> * `#9288 <https://github.com/scipy/scipy/pull/9288>`__: Run
>> distance_transform_edt tests on all types
>> * `#9294 <https://github.com/scipy/scipy/pull/9294>`__: DOC: fix the
>> formula typo
>> * `#9298 <https://github.com/scipy/scipy/pull/9298>`__: MAINT:
>> optimize/trust-constr: restore .niter attribute for backward-compat
>> * `#9299 <https://github.com/scipy/scipy/pull/9299>`__: DOC:
>> clarification of default rvs method in scipy.stats
>> * `#9301 <https://github.com/scipy/scipy/pull/9301>`__: MAINT: removed
>> unused import sys
>> * `#9302 <https://github.com/scipy/scipy/pull/9302>`__: MAINT: removed
>> unused imports
>> * `#9303 <https://github.com/scipy/scipy/pull/9303>`__: DOC: signal:
>> Refer to fs instead of nyq in the firwin docstring.
>> * `#9305 <https://github.com/scipy/scipy/pull/9305>`__: ENH: Added
>> Yeo-Johnson power transformation
>> * `#9306 <https://github.com/scipy/scipy/pull/9306>`__: ENH - add dual
>> annealing
>> * `#9309 <https://github.com/scipy/scipy/pull/9309>`__: ENH add the
>> yulesimon distribution to scipy.stats
>> * `#9317 <https://github.com/scipy/scipy/pull/9317>`__: Nested SLSQP bug
>> fix.
>> * `#9320 <https://github.com/scipy/scipy/pull/9320>`__: MAINT: stats:
>> avoid underflow in stats.geom.ppf
>> * `#9326 <https://github.com/scipy/scipy/pull/9326>`__: Add example for
>> Rosenbrock function
>> * `#9332 <https://github.com/scipy/scipy/pull/9332>`__: Sort file lists
>> * `#9340 <https://github.com/scipy/scipy/pull/9340>`__: Fix typo in
>> find_peaks documentation
>> * `#9343 <https://github.com/scipy/scipy/pull/9343>`__: MAINT Use
>> np.full when possible
>> * `#9344 <https://github.com/scipy/scipy/pull/9344>`__: DOC: added
>> examples to docstring of dirichlet class
>> * `#9346 <https://github.com/scipy/scipy/pull/9346>`__: DOC: Fix import
>> of scipy.sparse.linalg in example (#9345)
>> * `#9350 <https://github.com/scipy/scipy/pull/9350>`__: Fix interpolate
>> read only
>> * `#9351 <https://github.com/scipy/scipy/pull/9351>`__: MAINT:
>> special.erf: use the x->-x symmetry
>> * `#9356 <https://github.com/scipy/scipy/pull/9356>`__: Fix
>> documentation typo
>> * `#9358 <https://github.com/scipy/scipy/pull/9358>`__: DOC: improve doc
>> for ksone and kstwobign in scipy.stats
>> * `#9362 <https://github.com/scipy/scipy/pull/9362>`__: DOC: Change
>> datatypes of A matrices in linprog
>> * `#9364 <https://github.com/scipy/scipy/pull/9364>`__: MAINT: Adds
>> implicit none to fftpack fortran sources
>> * `#9369 <https://github.com/scipy/scipy/pull/9369>`__: DOC: minor tweak
>> to CoC (updated NumFOCUS contact address).
>> * `#9373 <https://github.com/scipy/scipy/pull/9373>`__: Fix exception if
>> python is called with -OO option
>> * `#9374 <https://github.com/scipy/scipy/pull/9374>`__: FIX: AIX
>> compilation issue with NAN and INFINITY
>> * `#9376 <https://github.com/scipy/scipy/pull/9376>`__: COBLYA -> COBYLA
>> in docs
>> * `#9377 <https://github.com/scipy/scipy/pull/9377>`__: DOC: Add
>> examples integrate: fixed_quad and quadrature
>> * `#9379 <https://github.com/scipy/scipy/pull/9379>`__: MAINT: TST: Make
>> tests NumPy 1.8 compatible
>> * `#9385 <https://github.com/scipy/scipy/pull/9385>`__: CI: On Travis
>> matrix "OPTIMIZE=-OO" flag ignored
>> * `#9387 <https://github.com/scipy/scipy/pull/9387>`__: Fix defaut value
>> for 'mode' in 'ndimage.shift' in the doc
>> * `#9392 <https://github.com/scipy/scipy/pull/9392>`__: BUG: rank has to
>> be integer in rank_filter: fixed issue 9388
>> * `#9399 <https://github.com/scipy/scipy/pull/9399>`__: DOC: Misc. typos
>> * `#9400 <https://github.com/scipy/scipy/pull/9400>`__: TST: stats: Fix
>> the expected r-value of a linregress test.
>> * `#9405 <https://github.com/scipy/scipy/pull/9405>`__: BUG: np.hstack
>> does not accept generator expressions
>> * `#9408 <https://github.com/scipy/scipy/pull/9408>`__: ENH: linalg:
>> Shorter ill-conditioned warning message
>> * `#9418 <https://github.com/scipy/scipy/pull/9418>`__: DOC: Fix ndimage
>> docstrings and reduce doc build warnings
>> * `#9421 <https://github.com/scipy/scipy/pull/9421>`__: DOC: Add missing
>> docstring examples in scipy.spatial
>> * `#9422 <https://github.com/scipy/scipy/pull/9422>`__: DOC: Add an
>> example to integrate.newton_cotes
>> * `#9427 <https://github.com/scipy/scipy/pull/9427>`__: BUG: Fixed
>> defect with maxiter #9419 in dual annealing
>> * `#9431 <https://github.com/scipy/scipy/pull/9431>`__: BENCH: Add dual
>> annealing to scipy benchmark (see #9415)
>> * `#9435 <https://github.com/scipy/scipy/pull/9435>`__: DOC: Add
>> docstring examples for stats.binom_test
>> * `#9443 <https://github.com/scipy/scipy/pull/9443>`__: DOC: Fix the
>> order of indices in optimize tutorial
>> * `#9444 <https://github.com/scipy/scipy/pull/9444>`__: MAINT:
>> interpolate: use operator.index for checking/coercing...
>> * `#9445 <https://github.com/scipy/scipy/pull/9445>`__: DOC: Added
>> missing example to stats.mstats.kruskal
>> * `#9446 <https://github.com/scipy/scipy/pull/9446>`__: DOC: Add note
>> about version changed for jaccard distance
>> * `#9447 <https://github.com/scipy/scipy/pull/9447>`__: BLD:
>> version-script handling in setup.py
>> * `#9448 <https://github.com/scipy/scipy/pull/9448>`__: TST: skip a
>> problematic linalg test
>> * `#9449 <https://github.com/scipy/scipy/pull/9449>`__: TST: fix missing
>> seed in lobpcg test.
>> * `#9456 <https://github.com/scipy/scipy/pull/9456>`__: TST:
>> test_eigs_consistency() now sorts output
>>
>> Checksums
>> =========
>>
>> MD5
>> ~~~
>>
>> 47d309402d2e5574be8fa261fadfaf58
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>>
>> SHA256
>> ~~~~~~
>>
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>> _______________________________________________
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