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

[Charles R Harris]

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
> ~~~
>
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> _______________________________________________
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