Mailman 3 May 2020 - SciPy-Dev

Re: [SciPy-Dev] Discontinued Rackspace Open Compute Discount
by Robert Lucente Oct. 5, 2020

Oct. 5, 2020

Several CI services are free for open source projects although there are throughput limits https://about.gitlab.com https://github.com/features/actions https://travis-ci.org https://www.appveyor.com -----Original Message----- >From: Olivier Grisel <olivier.grisel(a)ensta.org> >Sent: Feb 8, 2020 11:30 AM >To: SciPy Developers List <scipy-dev(a)python.org> >Subject: [SciPy-Dev] Discontinued Rackspace Open Compute Discount > >Hi all, > >I received an email end of January that I just discovered today >telling me that the Rackspace Open Compute Discount grant we use to >host http://wheels.scipy.org for nightly builds and release management >of our community has been discontinued on December 31st 2019. > >I would like to take down the Rackspace hosted cloudfiles as soon as >possible but we need to find a replacement as this will break all the >CIs that rely on nightly wheels and also all the wheel release >infrastructure for several project in the ecosystem. > >Apparently the fees for January and the beginning of February already >sum to $936.51. This is a large cost because there were a bunch of >unused left-over block volumes that I already deleted. > >To host wheels for nightly builds and release automation, a possible >alternatives include using the github release pages but they are not >really designed for this kind of workflow. > >Alternatively there is a PyPI repo hosting feature in Azure Pipelines >in public preview but I am not sure how it works, if it's free for >open source projects and if we could use it as a replacement for the >Rackspace cloud storage we currently use to host >http://wheels.scipy.org . > >https://docs.microsoft.com/en-us/azure/devops/pipelines/artifacts/pypi?view… > >Important: if you have uploaded any important files to one of the >cloud file storage / blob containers on Rackspace, please download a >copy as soon as possible. > >But please do not download things you do not really want to keep to >avoid adding any unnecessary bandwidth costs. If you have file write >permission on one of those containers, please delete the files you own >and do not need anymore. > >Feel free to join this room to discuss the matter interactively: >https://gitter.im/scikit-learn/nightly-build-hosting > >Feel free to reply to this email on the scipy-dev mailing list if you >have suggestions for setting up a free replacement. > >-- >Olivier >http://twitter.com/ogrisel - http://github.com/ogrisel >_______________________________________________ >SciPy-Dev mailing list >SciPy-Dev(a)python.org >https://mail.python.org/mailman/listinfo/scipy-dev

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Tweedie distributions in scipy.stats
by Christian Lorentzen July 17, 2020

July 17, 2020

Dear Scipy Developers and mailing list Readers I'd like to address the issue [1] to implement Tweedie distributions [2] in scipy.stats. Purpose The family of Tweedie distributions contains many known distributions like the Poisson and the Gamma distribution, but also distributions between them, aka compound poisson gamma distribution, see [3]. These are often appropriate for insurance claims and other fields, where one has a (Poisson) random count process of events and every event has a (Gamma) random size/amount. The distribution would enable simulations, maximum likelihood estimation of all parameters, choice and visualization of distributions, etc. Implementation I started PR [4] for Wrights generalized Bessel functions as a private function in scipy.special. Once this is ready, the pdf follows immediately. For the range of interest of Y ~ compound poisson gamma distribution, the distribution of Y has a point mass at zero and is otherwise continuous for Y>0. As already discussed in the issue [1], Tweedie might best fit as |rv_generic|. As such, it would be the first one, all others are either |rv_discrete| or |rv_continuous|. Without a template, I would need guidance how to implement a new rv_generic. References: [1] https://github.com/scipy/scipy/issues/11291 [2] https://en.wikipedia.org/wiki/Tweedie_distribution [3] https://en.wikipedia.org/wiki/Compound_Poisson_distribution [4] https://github.com/scipy/scipy/pull/11313 I'm looking forward to your feeback, thoughts and insights. Kind regards, Christian

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Proposed SciPy 1.5.0 Release Schedule
by Tyler Reddy June 2, 2020

June 2, 2020

Hi, SciPy 1.4.0 was released December 16 (~ 5 months ago), and I think we'd like to keep a roughly biannual release cadence. I'd like to propose the following schedule for 1.5.0: - May 26/2020: branch 1.5.x - May 29/2020: rc1 - June 11/2020: rc2 (if needed) - June 20/2020: final release Complicating factors this time around may include attempts at providing ARM/ppc64le wheels and the continued migration from rackspace -> anaconda.org for asset hosting in both the main and wheels repos. As always, it is a good idea to start tagging things that should be in 1.5.0 & please do help with reviewing PRs/issues that are tagged--current counts are: - 23 open issues with 1.5.0 milestone - 38 open PRs with 1.5.0 milestone While helping with that, also great if the release notes wiki is updated for appropriate changes: https://github.com/scipy/scipy/wiki/Release-note-entries-for-SciPy-1.5.0 Curating those final notes can be painful if the wiki isn't updated. Thoughts/objections for the schedule? Best wishes, Tyler

5 11

(no subject)
by Charles R Harris June 1, 2020

June 1, 2020

Hi All, On behalf of the NumPy team I am pleased to announce that NumPy 1.19.0rc2 has been released. This NumPy release supports Python 3.6-3.8 and is marked by the removal of much technical debt: support for Python 2 has been removed, many deprecations have been expired, and documentation has been improved. The polishing of the random module continues apace with bug fixes and better usability from Cython. Perhaps the most interesting thing for users will be the availability of wheels for aarch64 and PyPY. Downstream developers should use Cython >= 0.29.16 for Python 3.8 support and OpenBLAS >= 3.7 to avoid wrong results on the Skylake architecture. The NumPy Wheels for this release can be downloaded from PyPI <https://pypi.org/project/numpy/1.19.0rc2/>, source archives and release notes are available from Github <https://github.com/numpy/numpy/releases/tag/v1.19.0rc2>. *Contributors* A total of 124 people contributed to this release. People with a "+" by their names contributed a patch for the first time. - Alex Henrie - Alexandre de Siqueira + - Andras Deak - Andrea Sangalli + - Andreas Klöckner + - Andrei Shirobokov + - Anirudh Subramanian + - Anne Bonner - Anton Ritter-Gogerly + - Benjamin Trendelkamp-Schroer + - Bharat Raghunathan - Brandt Bucher + - Brian Wignall - Bui Duc Minh + - Changqing Li + - Charles Harris - Chris Barker - Chris Holland + - Christian Kastner + - Chunlin + - Chunlin Fang + - Damien Caliste + - Dan Allan - Daniel Hrisca - Daniel Povey + - Dustan Levenstein + - Emmanuelle Gouillart + - Eric Larson - Eric M. Bray - Eric Mariasis + - Eric Wieser - Erik Welch + - Fabio Zeiser + - Gabriel Gerlero + - Ganesh Kathiresan + - Gengxin Xie + - Guilherme Leobas - Guillaume Peillex + - Hameer Abbasi - Hao Jin + - Harshal Prakash Patankar + - Heshy Roskes + - Himanshu Garg + - Huon Wilson + - John Han + - John Kirkham - Jon Dufresne - Jon Morris + - Josh Wilson - Justus Magin - Kai Striega - Kerem Hallaç + - Kevin Sheppard - Kirill Zinovjev + - Marcin Podhajski + - Mark Harfouche - Marten van Kerkwijk - Martin Michlmayr + - Masashi Kishimoto + - Mathieu Lamarre - Matt Hancock + - MatteoRaso + - Matthew Harrigan - Matthias Bussonnier - Matti Picus - Max Balandat + - Maximilian Konrad + - Maxwell Aladago - Maxwell Bileschi + - Melissa Weber Mendonça + - Michael Felt - Mike Taves - Nico Schlömer - Pan Jan + - Paul Rougieux + - Pauli Virtanen - Peter Andreas Entschev - Petre-Flaviu Gostin + - Pierre de Buyl - Piotr Gaiński + - Przemyslaw Bartosik + - Raghuveer Devulapalli - Rakesh Vasudevan + - Ralf Gommers - RenaRuirui + - Roman Yurchak - Ross Barnowski + - Ryan + - Ryan Soklaski - Sanjeev Kumar + - SanthoshBala18 + - Sayed Adel + - Sebastian Berg - Seth Troisi - Sha Liu + - Siba Smarak Panigrahi + - Simon Gasse + - Stephan Hoyer - Steve Dower + - Thomas A Caswell - Till Hoffmann + - Tim Hoffmann - Tina Oberoi + - Tirth Patel - Tyler Reddy - Warren Weckesser - Wojciech Rzadkowski + - Xavier Thomas + - Yilin LI + - Zac Hatfield-Dodds + - Zé Vinícius + - @Adam + - @Anthony + - @Jim + - @bartosz-grabowski + - @dojafrat + - @gamboon + - @jfbu + - @keremh + - @mayeut + - @ndunnewind + - @nglinh + - @shreepads + - @sslivkoff + Cheers, Charles Harris

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ANN: SciPy 1.5.0rc1 -- please test
by Tyler Reddy May 31, 2020

May 31, 2020

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA256 Hi all, On behalf of the SciPy development team I'm pleased to announce the release candidate SciPy 1.5.0rc1. Please help us test this pre-release. Sources and binary wheels can be found at: https://pypi.org/project/scipy/ and at: https://github.com/scipy/scipy/releases/tag/v1.5.0rc1 <https://github.com/scipy/scipy/releases/tag/v1.4.0rc1> One of a few ways to install the release candidate with pip: pip install scipy==1.5.0rc1 ========================== SciPy 1.5.0 Release Notes ========================== Note: Scipy 1.5.0 is not released yet! SciPy 1.5.0 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 1.5.x branch, and on adding new features on the master branch. This release requires Python 3.6+ and NumPy 1.14.5 or greater. For running on PyPy, PyPy3 6.0+ and NumPy 1.15.0 are required. Highlights of this release --------------------------------- - wrappers for more than a dozen new ``LAPACK`` routines are now available in `scipy.linalg.lapack` - Improved support for leveraging 64-bit integer size from linear algebra backends - addition of the probability distribution for two-sided one-sample Kolmogorov-Smirnov tests New features ============ `scipy.cluster` improvements --------------------------------------- Initialization of `scipy.cluster.vq.kmeans2` using ``minit="++"`` had a quadratic complexity in the number of samples. It has been improved, resulting in a much faster initialization with quasi-linear complexity. `scipy.cluster.hierarchy.dendrogram` now respects the ``matplotlib`` color palette `scipy.fft` improvements ---------------------------------- A new keyword-only argument ``plan`` is added to all FFT functions in this module. It is reserved for passing in a precomputed plan from libraries providing a FFT backend (such as ``PyFFTW`` and ``mkl-fft``), and it is currently not used in SciPy. `scipy.integrate` improvements ------------------------------------------ `scipy.interpolate` improvements -------------------------------------------- `scipy.io` improvements -------------------------------- `scipy.io.wavfile` error messages are more explicit about what's wrong, and extraneous bytes at the ends of files are ignored instead of raising an error when the data has successfully been read. `scipy.io.loadmat` gained a ``simplify_cells`` parameter, which if set to ``True`` simplifies the structure of the return value if the ``.mat`` file contains cell arrays. ``pathlib.Path`` objects are now supported in `scipy.io` Matrix Market I/O functions `scipy.linalg` improvements -------------------------------------- `scipy.linalg.eigh` has been improved. Now various ``LAPACK`` drivers can be selected at will and also subsets of eigenvalues can be requested via ``subset_by_value`` keyword. Another keyword ``subset_by_index`` is introduced. Keywords ``turbo`` and ``eigvals`` are deprecated. Similarly, standard and generalized Hermitian eigenvalue ``LAPACK`` routines ``?<sy/he>evx`` are added and existing ones now have full ``_lwork`` counterparts. Wrappers for the following ``LAPACK`` routines have been added to `scipy.linalg.lapack`: - ``?getc2``: computes the LU factorization of a general matrix with complete pivoting - ``?gesc2``: solves a linear system given an LU factorization from ``?getc2`` - ``?gejsv``: computes the singular value decomposition of a general matrix with higher accuracy calculation of tiny singular values and their corresponding singular vectors - ``?geqrfp``: computes the QR factorization of a general matrix with non-negative elements on the diagonal of R - ``?gtsvx``: solves a linear system with general tridiagonal matrix - ``?gttrf``: computes the LU factorization of a tridiagonal matrix - ``?gttrs``: solves a linear system given an LU factorization from ``?gttrf`` - ``?ptsvx``: solves a linear system with symmetric positive definite tridiagonal matrix - ``?pttrf``: computes the LU factorization of a symmetric positive definite tridiagonal matrix - ``?pttrs``: solves a linear system given an LU factorization from ``?pttrf`` - ``?pteqr``: computes the eigenvectors and eigenvalues of a positive definite tridiagonal matrix - ``?tbtrs``: solves a linear system with a triangular banded matrix - ``?csd``: computes the Cosine Sine decomposition of an orthogonal/unitary matrix Generalized QR factorization routines (``?geqrf``) now have full ``_lwork`` counterparts. `scipy.linalg.cossin` Cosine Sine decomposition of unitary matrices has been added. The function `scipy.linalg.khatri_rao`, which computes the Khatri-Rao product, was added. The new function `scipy.linalg.convolution_matrix` constructs the Toeplitz matrix representing one-dimensional convolution. `scipy.ndimage` improvements ------------------------------------------ `scipy.optimize` improvements ----------------------------------------- The finite difference numerical differentiation used in various ``minimize`` methods that use gradients has several new features: - 2-point, 3-point, or complex step finite differences can be used. Previously only a 2-step finite difference was available. - There is now the possibility to use a relative step size, previously only an absolute step size was available. - If the ``minimize`` method uses bounds the numerical differentiation strictly obeys those limits. - The numerical differentiation machinery now makes use of a simple cache, which in some cases can reduce the number of function evaluations. - ``minimize``'s ``method= 'powell'`` now supports simple bound constraints There have been several improvements to `scipy.optimize.linprog`: - The ``linprog`` benchmark suite has been expanded considerably. - ``linprog``'s dense pivot-based redundancy removal routine and sparse presolve are faster - When ``scikit-sparse`` is available, solving sparse problems with ``method='interior-point'`` is faster The caching of values when optimizing a function returning both value and gradient together has been improved, avoiding repeated function evaluations when using a ``HessianApproximation`` such as ``BFGS``. ``differential_evolution`` can now use the modern ``np.random.Generator`` as well as the legacy ``np.random.RandomState`` as a seed. `scipy.signal` improvements -------------------------------------- A new optional argument ``include_nyquist`` is added to ``freqz`` functions in this module. It is used for including the last frequency (Nyquist frequency). `scipy.signal.find_peaks_cwt` now accepts a ``window_size`` parameter for the size of the window used to calculate the noise floor. `scipy.sparse` improvements ---------------------------------------- Outer indexing is now faster when using a 2d column vector to select column indices. `scipy.sparse.lil.tocsr` is faster Fixed/improved comparisons between pydata sparse arrays and sparse matrices BSR format sparse multiplication performance has been improved. `scipy.sparse.linalg.LinearOperator` has gained the new ``ndim`` class attribute `scipy.spatial` improvements --------------------------------------- `scipy.spatial.geometric_slerp` has been added to enable geometric spherical linear interpolation on an n-sphere `scipy.spatial.SphericalVoronoi` now supports calculation of region areas in 2D and 3D cases The tree building algorithm used by ``cKDTree`` has improved from quadratic worst case time complexity to loglinear. Benchmarks are also now available for building and querying of balanced/unbalanced kd-trees. `scipy.special` improvements ---------------------------------------- The following functions now have Cython interfaces in `cython_special`: - `scipy.special.erfinv` - `scipy.special.erfcinv` - `scipy.special.spherical_jn` - `scipy.special.spherical_yn` - `scipy.special.spherical_in` - `scipy.special.spherical_kn` `scipy.special.log_softmax` has been added to calculate the logarithm of softmax function. It provides better accuracy than ``log(scipy.special.softmax(x))`` for inputs that make softmax saturate. `scipy.stats` improvements ------------------------------------- The function for generating random samples in `scipy.stats.dlaplace` has been improved. The new function is approximately twice as fast with a memory footprint reduction between 25 % and 60 % (see gh-11069). `scipy.stats` functions that accept a seed for reproducible calculations using random number generation (e.g. random variates from distributions) can now use the modern ``np.random.Generator`` as well as the legacy ``np.random.RandomState`` as a seed. The ``axis`` parameter was added to `scipy.stats.rankdata`. This allows slices of an array along the given axis to be ranked independently. The ``axis`` parameter was added to `scipy.stats.f_oneway`, allowing it to compute multiple one-way ANOVA tests for data stored in n-dimensional arrays. The performance of ``f_oneway`` was also improved for some cases. The PDF and CDF methods for ``stats.geninvgauss`` are now significantly faster as the numerical integration to calculate the CDF uses a Cython based ``LowLevelCallable``. Moments of the normal distribution (`scipy.stats.norm`) are now calculated using analytical formulas instead of numerical integration for greater speed and accuracy Moments and entropy trapezoidal distribution (`scipy.stats.trapz`) are now calculated using analytical formulas instead of numerical integration for greater speed and accuracy Methods of the truncated normal distribution (`scipy.stats.truncnorm`), especially ``_rvs``, are significantly faster after a complete rewrite. The `fit` method of the Laplace distribution, `scipy.stats.laplace`, now uses the analytical formulas for the maximum likelihood estimates of the parameters. Generation of random variates is now thread safe for all SciPy distributions. 3rd-party distributions may need to modify the signature of the ``_rvs()`` method to conform to ``_rvs(self, ..., size=None, random_state=None)``. (A one-time VisibleDeprecationWarning is emitted when using non-conformant distributions.) The Kolmogorov-Smirnov two-sided test statistic distribution (`scipy.stats.kstwo`) was added. Calculates the distribution of the K-S two-sided statistic ``D_n`` for a sample of size n, using a mixture of exact and asymptotic algorithms. The new function ``median_abs_deviation`` replaces the deprecated ``median_absolute_deviation``. The ``wilcoxon`` function now computes the p-value for Wilcoxon's signed rank test using the exact distribution for inputs up to length 25. The function has a new ``mode`` parameter to specify how the p-value is to be computed. The default is ``"auto"``, which uses the exact distribution for inputs up to length 25 and the normal approximation for larger inputs. Added a new Cython-based implementation to evaluate guassian kernel estimates, which should improve the performance of ``gaussian_kde`` The ``winsorize`` function now has a ``nan_policy`` argument for refined handling of ``nan`` input values. The ``binned_statistic_dd`` function with ``statistic="std"`` performance was improved by ~4x. ``scipy.stats.kstest(rvs, cdf,...)`` now handles both one-sample and two-sample testing. The one-sample variation uses `scipy.stats.ksone` (or `scipy.stats.kstwo` with back off to `scipy.stats.kstwobign`) to calculate the p-value. The two-sample variation, invoked if ``cdf`` is array_like, uses an algorithm described by Hodges to compute the probability directly, only backing off to `scipy.stats.kstwo` in case of overflow. The result in both cases is more accurate p-values, especially for two-sample testing with smaller (or quite different) sizes. `scipy.stats.maxwell` performance improvements include a 20 % speed up for `fit()`` and 5 % for ``pdf()`` `scipy.stats.shapiro` and `scipy.stats.jarque_bera` now return a named tuple for greater consistency with other ``stats`` functions Deprecated features ================ `scipy` deprecations ---------------------------- `scipy.special` changes --------------------------------- The ``bdtr``, ``bdtrc``, and ``bdtri`` functions are deprecating non-negative non-integral ``n`` arguments. `scipy.stats` changes ----------------------------- The function ``median_absolute_deviation`` is deprecated. Use ``median_abs_deviation`` instead. The use of the string ``"raw"`` with the ``scale`` parameter of ``iqr`` is deprecated. Use ``scale=1`` instead. Backwards incompatible changes ========================== `scipy.interpolate` changes ------------------------------------- `scipy.linalg` changes ----------------------------- The output signatures of ``?syevr``, ``?heevr`` have been changed from ``w, v, info`` to ``w, v, m, isuppz, info`` The order of output arguments ``w``, ``v`` of ``<sy/he>{gv, gvd, gvx}`` is swapped. `scipy.signal` changes ------------------------------- The output length of `scipy.signal.upfirdn` has been corrected, resulting outputs may now be shorter for some combinations of up/down ratios and input signal and filter lengths. `scipy.signal.resample` now supports a ``domain`` keyword argument for specification of time or frequency domain input. `scipy.stats` changes ----------------------------- Other changes ============= Improved support for leveraging 64-bit integer size from linear algebra backends in several parts of the SciPy codebase. Shims designed to ensure the compatibility of SciPy with Python 2.7 have now been removed. Many warnings due to unused imports and unused assignments have been addressed. Many usage examples were added to function docstrings, and many input validations and intuitive exception messages have been added throughout the codebase. Early stage adoption of type annotations in a few parts of the codebase Authors ======= * @endolith * Hameer Abbasi * ADmitri + * Wesley Alves + * Berkay Antmen + * Sylwester Arabas + * Arne KÃ¼derle + * Christoph Baumgarten * Peter Bell * Felix Berkenkamp * JordÃ£o Bragantini + * Clemens Brunner + * Evgeni Burovski * Matthias Bussonnier + * CJ Carey * Derrick Chambers + * Leander Claes + * Christian Clauss * Luigi F. Cruz + * dankleeman * Andras Deak * Milad Sadeghi DM + * jeremie du boisberranger + * Stefan Endres * Malte Esders + * Leo Fang + * felixhekhorn + * Isuru Fernando * Andrew Fowlie * Lakshay Garg + * Gaurav Gijare + * Ralf Gommers * Emmanuelle Gouillart + * Kevin Green + * Martin Grignard + * Maja Gwozdz * gyu-don + * Matt Haberland * hakeemo + * Charles Harris * Alex Henrie * Santi Hernandez + * William Hickman + * Till Hoffmann + * Joseph T. Iosue + * Anany Shrey Jain * Jakob Jakobson * Charles Jekel + * Julien Jerphanion + * Jiacheng-Liu + * Christoph Kecht + * Paul Kienzle + * Reidar Kind + * Dmitry E. Kislov + * Konrad + * Konrad0 * Takuya KOUMURA + * Krzysztof PiÃ³ro * Peter Mahler Larsen * Eric Larson * Antony Lee * Gregory Lee + * Gregory R. Lee * Chelsea Liu * Cong Ma + * Kevin Mader + * Maja GwÃ³ÅºdÅº + * Alex Marvin + * Matthias KÃ¼mmerer * Nikolay Mayorov * Mazay0 + * G. D. McBain * Nicholas McKibben + * Sabrina J. Mielke + * Sebastian J. Mielke + * MiloÅ¡ KomarÄ eviÄ‡ + * Shubham Mishra + * Santiago M. Mola + * Grzegorz Mrukwa + * Peyton Murray * Andrew Nelson * Nico SchlÃ¶mer * nwjenkins + * odidev + * Sambit Panda * Vikas Pandey + * Rick Paris + * Harshal Prakash Patankar + * Balint Pato + * Matti Picus * Ilhan Polat * poom + * Siddhesh Poyarekar * Vladyslav Rachek + * Bharat Raghunathan * Manu Rajput + * Tyler Reddy * Andrew Reed + * Lucas Roberts * Ariel Rokem * Heshy Roskes * Matt Ruffalo * Atsushi Sakai + * Benjamin Santos + * Christoph Schock + * Lisa Schwetlick + * Chris Simpson + * Leo Singer * Kai Striega * SÃ¸ren Fuglede JÃ¸rgensen * Kale-ab Tessera + * Seth Troisi + * Robert Uhl + * Paul van Mulbregt * Vasiliy + * Isaac Virshup + * Pauli Virtanen * Shakthi Visagan + * Jan Vleeshouwers + * Sam Wallan + * Lijun Wang + * Warren Weckesser * Richard Weiss + * wenhui-prudencemed + * Eric Wieser * Josh Wilson * James Wright + * Ruslan Yevdokymov + * Ziyao Zhang + A total of 129 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 1.5.0 ------------------------------- * `#1455 <https://github.com/scipy/scipy/issues/1455>`__: ellipord does returns bogus values if gstop or gpass are negative... * `#1968 <https://github.com/scipy/scipy/issues/1968>`__: correlate2d's output does not agree with correlate's output in... * `#2744 <https://github.com/scipy/scipy/issues/2744>`__: BUG: optimize: '\*\*kw' argument of 'newton_krylov' is not documented * `#4755 <https://github.com/scipy/scipy/issues/4755>`__: TypeError: data type "<i0" not understood * `#4921 <https://github.com/scipy/scipy/issues/4921>`__: scipy.optimize maxiter option not working as expected * `#5144 <https://github.com/scipy/scipy/issues/5144>`__: RuntimeWarning on csgraph.shortest_path when edge lengths are... * `#5309 <https://github.com/scipy/scipy/issues/5309>`__: Documentation of 'hybr' and 'lm' inconsistent in optimize.root * `#6026 <https://github.com/scipy/scipy/issues/6026>`__: Replace approx_grad with _numdiff.approx_derivative in scipy.optimize * `#6502 <https://github.com/scipy/scipy/issues/6502>`__: Computing Eigenvalues in an Interval with LAPACK * `#7058 <https://github.com/scipy/scipy/issues/7058>`__: Errors in special.bdtri and special.bdtr for non-integer k values * `#7700 <https://github.com/scipy/scipy/issues/7700>`__: SuperLU does not respect perm_c="NATURAL" * `#7895 <https://github.com/scipy/scipy/issues/7895>`__: Improvements to io.loadmat * `#8205 <https://github.com/scipy/scipy/issues/8205>`__: ValueError in scipy.linalg.eigvalsh for large matrix * `#8278 <https://github.com/scipy/scipy/issues/8278>`__: Memory limit for scipy.sparse.linalg.spsolve with scikit-umfpack * `#8327 <https://github.com/scipy/scipy/issues/8327>`__: scipy.stats.mstats.winsorize NaN handling * `#8341 <https://github.com/scipy/scipy/issues/8341>`__: scipy.stats.ks_2samp for masked and unmasked data give different... * `#8748 <https://github.com/scipy/scipy/issues/8748>`__: scipy.stats.kstest for same distribution: p-values nonuniform * `#9042 <https://github.com/scipy/scipy/issues/9042>`__: optimize: Incorrect statement about \`jac\` in the \`minimize\`... * `#9197 <https://github.com/scipy/scipy/issues/9197>`__: problem with scipy.signal.butter with 1000+ points array * `#9212 <https://github.com/scipy/scipy/issues/9212>`__: EIGH very very slow --> suggesting an easy fix * `#9553 <https://github.com/scipy/scipy/issues/9553>`__: ndimage routines behave badly when output has memory overlap... * `#9632 <https://github.com/scipy/scipy/issues/9632>`__: ndimage.maximum_filter undocumented behaviour using footprint... * `#9710 <https://github.com/scipy/scipy/issues/9710>`__: stats.weightedtau([1], [1.0]) SEGFAULTs * `#9797 <https://github.com/scipy/scipy/issues/9797>`__: Master Tracker for some Kolmogorov-Smirnov test Issues * `#9844 <https://github.com/scipy/scipy/issues/9844>`__: scipy.signal.upfirdn gives different length matrix versus MATLAB... * `#9872 <https://github.com/scipy/scipy/issues/9872>`__: scipy.signal.convolve is slower when vectorized * `#9913 <https://github.com/scipy/scipy/issues/9913>`__: BUG: No dt in StateSpace operations * `#10014 <https://github.com/scipy/scipy/issues/10014>`__: Distribution names \`weibull_min\`and \`weibull_max\` should... * `#10159 <https://github.com/scipy/scipy/issues/10159>`__: BUG: stats: chisquare returns incorrect results for arrays of... * `#10302 <https://github.com/scipy/scipy/issues/10302>`__: scipy.fft: Add a \`plan\` argument * `#10332 <https://github.com/scipy/scipy/issues/10332>`__: 'Incomplete wav chunk' inconsistent/reason unknown * `#10441 <https://github.com/scipy/scipy/issues/10441>`__: Remove uses of \`numpy.dual\`? * `#10558 <https://github.com/scipy/scipy/issues/10558>`__: Document implicit sum in csr_matrix() constructor * `#10788 <https://github.com/scipy/scipy/issues/10788>`__: LU with full pivoting * `#10841 <https://github.com/scipy/scipy/issues/10841>`__: Unexpected behavior in linalg.blas.dtrmm wrapper * `#10919 <https://github.com/scipy/scipy/issues/10919>`__: optimize._lbfgsb setulb() function violates parameter bounds * `#10963 <https://github.com/scipy/scipy/issues/10963>`__: kstest, ks_2samp: confusing \`mode\` argument descriptions * `#11022 <https://github.com/scipy/scipy/issues/11022>`__: Unexpected Result in factorial function with NaN input * `#11028 <https://github.com/scipy/scipy/issues/11028>`__: Documentation error in optimize.minimize * `#11058 <https://github.com/scipy/scipy/issues/11058>`__: Adding logsoftmax function * `#11076 <https://github.com/scipy/scipy/issues/11076>`__: ValueError: Unknown wave file format * `#11090 <https://github.com/scipy/scipy/issues/11090>`__: Misconception of the median absolute deviation in stats? * `#11095 <https://github.com/scipy/scipy/issues/11095>`__: BUG: find_peaks_cwt test failures in 32-bit Linux wheels * `#11107 <https://github.com/scipy/scipy/issues/11107>`__: scipy.io.mmread generated an error "TypeError: startswith first... * `#11123 <https://github.com/scipy/scipy/issues/11123>`__: Add wrapper for ?gttrf/?gttrs * `#11128 <https://github.com/scipy/scipy/issues/11128>`__: OverflowError in resample_poly (upfirdn) * `#11132 <https://github.com/scipy/scipy/issues/11132>`__: Possible bug: rv_discret.ppf for percentiles 0 and 100 and loc... * `#11163 <https://github.com/scipy/scipy/issues/11163>`__: Comparisons between scipy spmatrix and can sparse.SparseArray... * `#11168 <https://github.com/scipy/scipy/issues/11168>`__: Generalized Pareto variance inaccurate for concentrations near... * `#11169 <https://github.com/scipy/scipy/issues/11169>`__: Add wrapper for ?geqrfp * `#11184 <https://github.com/scipy/scipy/issues/11184>`__: 2-sided Kolmogorov Smirnov returns p-value of 1 * `#11185 <https://github.com/scipy/scipy/issues/11185>`__: The .roots() or solve() function of scipy.interpolate.CubicHermiteSpline... * `#11190 <https://github.com/scipy/scipy/issues/11190>`__: Add wrapper for ?tbtrs * `#11200 <https://github.com/scipy/scipy/issues/11200>`__: Can no longer slice csr_matrix in 1.3.0 * `#11207 <https://github.com/scipy/scipy/issues/11207>`__: _minimize_scalar_bounded: reference before assignment * `#11216 <https://github.com/scipy/scipy/issues/11216>`__: linprog: interior-point: Cholmod reordering can be reused * `#11223 <https://github.com/scipy/scipy/issues/11223>`__: Add wrappers for ?pttrf, ?pttrs * `#11224 <https://github.com/scipy/scipy/issues/11224>`__: Add wrapperfor ?pteqr * `#11235 <https://github.com/scipy/scipy/issues/11235>`__: MAINT: Missleading Error Message for IIR Filter * `#11244 <https://github.com/scipy/scipy/issues/11244>`__: Missing reference in \`scipy.optimize.line_search\` * `#11262 <https://github.com/scipy/scipy/issues/11262>`__: Hermitian Eigenvalue Problem eigh() API and wrapper change proposal * `#11266 <https://github.com/scipy/scipy/issues/11266>`__: Sparse matrix constructor data type detection changes on Numpy... * `#11270 <https://github.com/scipy/scipy/issues/11270>`__: CI failing: Travis CI Py36 refguide and Linux_Python_36_32bit_full... * `#11279 <https://github.com/scipy/scipy/issues/11279>`__: linalg.eigh checks whole array for finite values * `#11295 <https://github.com/scipy/scipy/issues/11295>`__: CI: azure does not auto-cancel old jobs on pushes * `#11299 <https://github.com/scipy/scipy/issues/11299>`__: stats.truncnorm.rvs 100x slower in v1.4.x than v1.3.3 * `#11315 <https://github.com/scipy/scipy/issues/11315>`__: BUG: special: rgamma on negative integers smaller -34 * `#11319 <https://github.com/scipy/scipy/issues/11319>`__: Missing \`int64_t\` declaration in rectangular_lsap.cpp * `#11323 <https://github.com/scipy/scipy/issues/11323>`__: Compilation failure due to missing symbol pthread_atfork * `#11332 <https://github.com/scipy/scipy/issues/11332>`__: BUG: directed_hausdorff distance on sets u and v when u is a... * `#11350 <https://github.com/scipy/scipy/issues/11350>`__: Khatri-Rao product * `#11354 <https://github.com/scipy/scipy/issues/11354>`__: ENH: Add wrapper for ?gejsv * `#11361 <https://github.com/scipy/scipy/issues/11361>`__: Dropped NaN in eval_genlaguerre function * `#11363 <https://github.com/scipy/scipy/issues/11363>`__: Dropped NaN in hyperu function * `#11365 <https://github.com/scipy/scipy/issues/11365>`__: scipy.stats.binned_statistic regressed in v1.4.0 * `#11369 <https://github.com/scipy/scipy/issues/11369>`__: Dropped NaN in eval_hermite * `#11370 <https://github.com/scipy/scipy/issues/11370>`__: Dropped NaN in eval_gegenbauer * `#11373 <https://github.com/scipy/scipy/issues/11373>`__: Add wrapper for ?gtsvx * `#11374 <https://github.com/scipy/scipy/issues/11374>`__: Add wrapper for ?ptsvx * `#11391 <https://github.com/scipy/scipy/issues/11391>`__: csgraph.minimum_spanning_tree loses precision * `#11398 <https://github.com/scipy/scipy/issues/11398>`__: Update stats to cope with \`np.random.Generator\` machinery * `#11412 <https://github.com/scipy/scipy/issues/11412>`__: Array copying causes unwanted type casting from complex to float... * `#11415 <https://github.com/scipy/scipy/issues/11415>`__: Where is the Wiener Filter derived from? * `#11416 <https://github.com/scipy/scipy/issues/11416>`__: _lib._util.getargspec_no_self is missing KEYWORD_ONLY support * `#11428 <https://github.com/scipy/scipy/issues/11428>`__: Documentation on SHGO inequality constraints appears contradictory * `#11429 <https://github.com/scipy/scipy/issues/11429>`__: Add LAPACK's ZUNCSD cosine sine decomposition * `#11438 <https://github.com/scipy/scipy/issues/11438>`__: run_dualannealing passes bounds incorrectly in benchmarks/optimize.py * `#11441 <https://github.com/scipy/scipy/issues/11441>`__: Can't run optimize benchmarks * `#11442 <https://github.com/scipy/scipy/issues/11442>`__: Chebyshev weights * `#11448 <https://github.com/scipy/scipy/issues/11448>`__: Wrongly typed comparison in integrate.quad * `#11458 <https://github.com/scipy/scipy/issues/11458>`__: BUG: maximum_bipartite_matching produces infeasible solution * `#11460 <https://github.com/scipy/scipy/issues/11460>`__: CI failing: 2 Travis CI tests fail with numpy build or version... * `#11462 <https://github.com/scipy/scipy/issues/11462>`__: Bug on "++" initialization on "kmeans2" * `#11464 <https://github.com/scipy/scipy/issues/11464>`__: Shouldn't data type of KDE evaluation should be like in the input... * `#11468 <https://github.com/scipy/scipy/issues/11468>`__: performance of binned_statistics_2d 100x slowdown from 1.3.2... * `#11484 <https://github.com/scipy/scipy/issues/11484>`__: Callback function doesn't give the same value as the one being... * `#11492 <https://github.com/scipy/scipy/issues/11492>`__: Confusing dendrogram labelling * `#11493 <https://github.com/scipy/scipy/issues/11493>`__: scipy.optimize.least_squares fails if the return array of the... * `#11494 <https://github.com/scipy/scipy/issues/11494>`__: Error performing kronecker product between large sparse vectors * `#11503 <https://github.com/scipy/scipy/issues/11503>`__: medfilt produces 0 on input of length 1 * `#11529 <https://github.com/scipy/scipy/issues/11529>`__: Pyflakes generates almost 700 warnings. * `#11566 <https://github.com/scipy/scipy/issues/11566>`__: irfft/irfft2/irfftn docs are slightly confusing re: input type. * `#11572 <https://github.com/scipy/scipy/issues/11572>`__: least_squares: too small tolerances not catched with method='lm' * `#11581 <https://github.com/scipy/scipy/issues/11581>`__: DOC: scipy.interpolate.RectSphereBivariateSpline * `#11586 <https://github.com/scipy/scipy/issues/11586>`__: Differential evolution breaks with LinearConstraints with sparse... * `#11595 <https://github.com/scipy/scipy/issues/11595>`__: scipy.spatial.cKDTree construction slow for some datasets * `#11598 <https://github.com/scipy/scipy/issues/11598>`__: output of special.voigt_profile when sigma=0 * `#11601 <https://github.com/scipy/scipy/issues/11601>`__: linalg tests failing in runtests.py * `#11602 <https://github.com/scipy/scipy/issues/11602>`__: scipy.optimize.linear_sum_assignment returns reverse diagonal... * `#11610 <https://github.com/scipy/scipy/issues/11610>`__: Analytic formula for normal moments * `#11611 <https://github.com/scipy/scipy/issues/11611>`__: Build failure with gfortran 10 * `#11613 <https://github.com/scipy/scipy/issues/11613>`__: TST, MAINT: test_quadpack TestCtypesQuad wasn't fully migrated... * `#11630 <https://github.com/scipy/scipy/issues/11630>`__: SmoothBivariateSpline bbox parameter * `#11635 <https://github.com/scipy/scipy/issues/11635>`__: typo in docstring of scipy.stats.norminvgauss * `#11637 <https://github.com/scipy/scipy/issues/11637>`__: BUG: core dumps when calling scipy.interpolate.interp1d with... * `#11638 <https://github.com/scipy/scipy/issues/11638>`__: better documentation for 'return_all' option in minimize(Nelder... * `#11652 <https://github.com/scipy/scipy/issues/11652>`__: TST, MAINT: CI failures for pre-release NumPy wheels * `#11659 <https://github.com/scipy/scipy/issues/11659>`__: optimize.fmin_l_bfgs_b needs bound check and appropiate error... * `#11660 <https://github.com/scipy/scipy/issues/11660>`__: BUG/ENH: distribution.ncf with nc=0 returns nan * `#11661 <https://github.com/scipy/scipy/issues/11661>`__: scipy.ndimage.convolve1d and correlate1d don't behave properly... * `#11669 <https://github.com/scipy/scipy/issues/11669>`__: p-value varies with the order of the data * `#11676 <https://github.com/scipy/scipy/issues/11676>`__: documentation of scipy.spatial.HalfspaceIntersection: wrong method... * `#11685 <https://github.com/scipy/scipy/issues/11685>`__: Rotation cannot be expressed as matrix * `#11686 <https://github.com/scipy/scipy/issues/11686>`__: MAINT: mypy imports of Cython "modules" * `#11693 <https://github.com/scipy/scipy/issues/11693>`__: TestDifferentialEvolutionSolver::test_L4 failing in CI * `#11696 <https://github.com/scipy/scipy/issues/11696>`__: DOC: incorrect compiler information for macOS in docs * `#11709 <https://github.com/scipy/scipy/issues/11709>`__: eigh() tests fail to pass, crash Python with seemingly ramdom... * `#11763 <https://github.com/scipy/scipy/issues/11763>`__: Small error in gamma continuous rv fit comments * `#11769 <https://github.com/scipy/scipy/issues/11769>`__: truncnorm.rvs Weird Behaviors * `#11770 <https://github.com/scipy/scipy/issues/11770>`__: crash in TestEigh::test_value_subsets * `#11795 <https://github.com/scipy/scipy/issues/11795>`__: trapz distribution mean computed using single precision * `#11800 <https://github.com/scipy/scipy/issues/11800>`__: Segmentation fault in scipy.odr for multidimensional independent... * `#11811 <https://github.com/scipy/scipy/issues/11811>`__: pyflakes silently failing on travis-ci * `#11826 <https://github.com/scipy/scipy/issues/11826>`__: Error with _fblas * `#11827 <https://github.com/scipy/scipy/issues/11827>`__: \`fft.tests.test_numpy.test_multiprocess\` hangs on Python3.8... * `#11835 <https://github.com/scipy/scipy/issues/11835>`__: tests with \`multiprocessing\` hang on Python 3.8 on macOS * `#11839 <https://github.com/scipy/scipy/issues/11839>`__: linalg.expm returns nans with RuntimeWarning: overflow encountered... * `#11856 <https://github.com/scipy/scipy/issues/11856>`__: Documentation of fit methods for \`weibull_min\` and \`exponweib\`... * `#11868 <https://github.com/scipy/scipy/issues/11868>`__: Function always evaluated twice when using HessianUpdateStrategy... * `#11875 <https://github.com/scipy/scipy/issues/11875>`__: Typo in the docstring of simps() * `#11877 <https://github.com/scipy/scipy/issues/11877>`__: kmeans2 '++' method is orders of magnitude slower than sklearn.cluster.KMeans() * `#11884 <https://github.com/scipy/scipy/issues/11884>`__: The upper code lines are dead code * `#11886 <https://github.com/scipy/scipy/issues/11886>`__: Array shape mismatch in scipy.optimize * `#11892 <https://github.com/scipy/scipy/issues/11892>`__: BUG: stats: Incorrect handling of edges cases by ttest_rel and... * `#11908 <https://github.com/scipy/scipy/issues/11908>`__: LinearOperator should have ndim attribute * `#11910 <https://github.com/scipy/scipy/issues/11910>`__: Documentation missing for what M is in init argument * `#11922 <https://github.com/scipy/scipy/issues/11922>`__: macOS actions CI has started failing in last couple of days. * `#11928 <https://github.com/scipy/scipy/issues/11928>`__: DOC: signal: Wrong description for sepfir2d, cspline2d, qspline2d * `#11944 <https://github.com/scipy/scipy/issues/11944>`__: curve_fit documentation unclear on default value of absolute_sigma * `#11945 <https://github.com/scipy/scipy/issues/11945>`__: Add a (potentially temporary) py.typed file? * `#11949 <https://github.com/scipy/scipy/issues/11949>`__: ValueError 'k exceeds matrix dimensions' for sparse.diagonal()... * `#11951 <https://github.com/scipy/scipy/issues/11951>`__: BUG: asv benchmark failed because of cython version * `#11967 <https://github.com/scipy/scipy/issues/11967>`__: BLD: Azure windows runs complain about drives * `#11973 <https://github.com/scipy/scipy/issues/11973>`__: oaconvolve(a,b,'same') differs in shape from convolve(a,b,'same')... * `#12002 <https://github.com/scipy/scipy/issues/12002>`__: pybind11 license * `#12003 <https://github.com/scipy/scipy/issues/12003>`__: MAINT: circular SphericalVoronoi input * `#12015 <https://github.com/scipy/scipy/issues/12015>`__: Reordering of CSC matrix breaks when you go above int32 limits * `#12031 <https://github.com/scipy/scipy/issues/12031>`__: Documentation Rendering Issues Visible in CircleCI Artifacts * `#12037 <https://github.com/scipy/scipy/issues/12037>`__: MAINT, CI: new Cython 3.0a4 issue * `#12087 <https://github.com/scipy/scipy/issues/12087>`__: DOC: some odr models are missing docs * `#12119 <https://github.com/scipy/scipy/issues/12119>`__: signal.fftconvolve no longer convolves types f8 and numpy.float64 * `#12149 <https://github.com/scipy/scipy/issues/12149>`__: Documentation of Rosenbrock function * `#12173 <https://github.com/scipy/scipy/issues/12173>`__: Large memory usage when indexing sparse matrices with \`np.ix_\` * `#12178 <https://github.com/scipy/scipy/issues/12178>`__: BUG: stats: Some discrete distributions don't accept lists of... * `#12220 <https://github.com/scipy/scipy/issues/12220>`__: BUG, REL: gh_lists.py compromised scraping * `#12239 <https://github.com/scipy/scipy/issues/12239>`__: BUG: median absolute deviation handling of nan Pull requests for 1.5.0 ------------------------------ * `#6510 <https://github.com/scipy/scipy/pull/6510>`__: Add Eigenvalue Range Functionality for Symmetric Eigenvalue Problems * `#9525 <https://github.com/scipy/scipy/pull/9525>`__: BUG: SuperLU 'NATURAL' order applies a column permutation * `#9634 <https://github.com/scipy/scipy/pull/9634>`__: Add the number of Jacobian evaluations to the output of L-BFGS-B. * `#9719 <https://github.com/scipy/scipy/pull/9719>`__: ENH: Added kstwo probability distribution for two-sided one-sample... * `#9783 <https://github.com/scipy/scipy/pull/9783>`__: WIP: optimize: added (dense) interpolative decomposition redundancy... * `#10053 <https://github.com/scipy/scipy/pull/10053>`__: Adding docstring to weibull_min and weibull_max based on issue... * `#10136 <https://github.com/scipy/scipy/pull/10136>`__: DEP: Add warning to linprog_verbose_callback * `#10380 <https://github.com/scipy/scipy/pull/10380>`__: ENH: add geometric_slerp * `#10602 <https://github.com/scipy/scipy/pull/10602>`__: MAINT: optimize: refactor common linprog arguments into namedtuple * `#10648 <https://github.com/scipy/scipy/pull/10648>`__: Bounds for the Powell minimization method * `#10673 <https://github.com/scipy/scipy/pull/10673>`__: ENH: approx_fprime --> approx_derivative * `#10759 <https://github.com/scipy/scipy/pull/10759>`__: ENH: calculation of region areas in spatial.SphericalVoronoi * `#10762 <https://github.com/scipy/scipy/pull/10762>`__: BENCH: optimize: more comprehensive linprog benchmarking * `#10796 <https://github.com/scipy/scipy/pull/10796>`__: ENH exact p-values of wilcoxon test in scipy.stats * `#10797 <https://github.com/scipy/scipy/pull/10797>`__: ENH: linalg: LU with full pivoting (wrappers for ?getc2/?gesc2) * `#10824 <https://github.com/scipy/scipy/pull/10824>`__: ENH: Fast gaussian kernel estimator * `#10942 <https://github.com/scipy/scipy/pull/10942>`__: BUG: prevent bound violation in L-BFGS-B optimize method * `#11003 <https://github.com/scipy/scipy/pull/11003>`__: ENH: add scipy.linalg.convolution_matrix * `#11023 <https://github.com/scipy/scipy/pull/11023>`__: improving error message for cubic-interpolate with duplicates * `#11045 <https://github.com/scipy/scipy/pull/11045>`__: MAINT: make bdt{r,rc,ri}() functions accept double n,k args +... * `#11063 <https://github.com/scipy/scipy/pull/11063>`__: Fix documentation error in optimize.minimize * `#11069 <https://github.com/scipy/scipy/pull/11069>`__: ENH: stats.dlaplace.rvs improvements * `#11071 <https://github.com/scipy/scipy/pull/11071>`__: DOC: Added examples to maximum_position in ndimage * `#11075 <https://github.com/scipy/scipy/pull/11075>`__: DOC: Update stylistic consistency in multiple files * `#11097 <https://github.com/scipy/scipy/pull/11097>`__: BUG: stats: fixing chisquare to return correct results for arrays... * `#11110 <https://github.com/scipy/scipy/pull/11110>`__: ENH: special: Cythonise erfinv, erfcinv * `#11112 <https://github.com/scipy/scipy/pull/11112>`__: BUG: special: Return NaN outside the domain of \`eval_hermite\` * `#11114 <https://github.com/scipy/scipy/pull/11114>`__: BUG: special: fix \`hyp1f1\` for nonnegative integral \`a\` and... * `#11115 <https://github.com/scipy/scipy/pull/11115>`__: DOC: special: add docstrings for \`kei\`, \`ker\`, \`keip\`,... * `#11130 <https://github.com/scipy/scipy/pull/11130>`__: ENH: support for circular input * `#11136 <https://github.com/scipy/scipy/pull/11136>`__: BUG: expm handling of empty input * `#11138 <https://github.com/scipy/scipy/pull/11138>`__: DOC: stylistic consistency, punctuation, etc. * `#11139 <https://github.com/scipy/scipy/pull/11139>`__: MAINT: cluster: use cython_blas, remove handwritten BLAS wrappers * `#11146 <https://github.com/scipy/scipy/pull/11146>`__: DOC: update docs on bp parameter for detrend * `#11151 <https://github.com/scipy/scipy/pull/11151>`__: DOC: special: add docstrings for \`bei\`, \`ber\`, \`beip\`,... * `#11156 <https://github.com/scipy/scipy/pull/11156>`__: ENH: add input validation for ellipord. * `#11157 <https://github.com/scipy/scipy/pull/11157>`__: DOC: stylistic revision, punctuation, consistency * `#11160 <https://github.com/scipy/scipy/pull/11160>`__: ignore warning on 0 \* inf in basin hopping * `#11162 <https://github.com/scipy/scipy/pull/11162>`__: DOC: minor stylistic revision, undo changes * `#11164 <https://github.com/scipy/scipy/pull/11164>`__: ENH/ BUG: Pydata sparse equality * `#11171 <https://github.com/scipy/scipy/pull/11171>`__: Fix dtype validation of "seuclidean" metric V parameter * `#11177 <https://github.com/scipy/scipy/pull/11177>`__: BUG: stats: Improve genpareto stats calculations. * `#11180 <https://github.com/scipy/scipy/pull/11180>`__: MAINT: stats: Some clean up in test_distributions.py. * `#11187 <https://github.com/scipy/scipy/pull/11187>`__: ENH: add functionality log_softmax to SciPy.special. * `#11188 <https://github.com/scipy/scipy/pull/11188>`__: MAINT: add rvs method to argus in scipy.stats * `#11196 <https://github.com/scipy/scipy/pull/11196>`__: DOC: special: add to docstrings of Kelvin zeros functions * `#11202 <https://github.com/scipy/scipy/pull/11202>`__: BUG: fix edge counting in shortest_path * `#11218 <https://github.com/scipy/scipy/pull/11218>`__: BUG: scipy/interpolate: fix PPoly/Cubic\*Spline roots() extrapolation... * `#11225 <https://github.com/scipy/scipy/pull/11225>`__: Add a warning to constant input for spearmanr() function * `#11226 <https://github.com/scipy/scipy/pull/11226>`__: Speed up of interior-point method for cholesky solver * `#11229 <https://github.com/scipy/scipy/pull/11229>`__: BUG: Explicit dtype specification in _upfirdn.py * `#11230 <https://github.com/scipy/scipy/pull/11230>`__: Additional citation for optimize tutorial * `#11231 <https://github.com/scipy/scipy/pull/11231>`__: Adds SLSQP test for duplicate f-evals (#10738) * `#11236 <https://github.com/scipy/scipy/pull/11236>`__: MAINT: Improved error message for Wn range in iirfilter. * `#11245 <https://github.com/scipy/scipy/pull/11245>`__: ENH: optimize: dense redundancy removal routine optimizations * `#11247 <https://github.com/scipy/scipy/pull/11247>`__: MAINT: Remove _lib/_numpy_compat.py * `#11248 <https://github.com/scipy/scipy/pull/11248>`__: BUG: rv_discrete.ppf() to handle loc * `#11251 <https://github.com/scipy/scipy/pull/11251>`__: DOC: add reference for linesearch zoom algorithm * `#11253 <https://github.com/scipy/scipy/pull/11253>`__: BUG: fix kendalltau issue where p-value becomes >1 * `#11254 <https://github.com/scipy/scipy/pull/11254>`__: MAINT: make special.factorial handle nan correctly * `#11256 <https://github.com/scipy/scipy/pull/11256>`__: DOC: Updated documentation for scipy.linalg.qr * `#11265 <https://github.com/scipy/scipy/pull/11265>`__: Fix: Can no longer slice csr_matrix in 1.3.0 * `#11267 <https://github.com/scipy/scipy/pull/11267>`__: BUG: Rework the scaling in the ks_2samp two-sided exact test. * `#11268 <https://github.com/scipy/scipy/pull/11268>`__: DOC: example of NonLinearConstraint * `#11269 <https://github.com/scipy/scipy/pull/11269>`__: Fix: Sparse matrix constructor data type detection changes on... * `#11276 <https://github.com/scipy/scipy/pull/11276>`__: BLD: update minimum Python, NumPy, Cython, Pybind11 versions * `#11277 <https://github.com/scipy/scipy/pull/11277>`__: MAINT: Cleanup conditionals for unsupported numpy verisons * `#11278 <https://github.com/scipy/scipy/pull/11278>`__: MAINT: Cleanup stats.iqr workarounds for unsupported NumPy versions * `#11282 <https://github.com/scipy/scipy/pull/11282>`__: TST/CI: improve traceback formatting for test failures * `#11284 <https://github.com/scipy/scipy/pull/11284>`__: fix docs & behavior for mode sequences in ndimage filters * `#11285 <https://github.com/scipy/scipy/pull/11285>`__: DOC: special: complete the docstrings of Chi-square functions * `#11286 <https://github.com/scipy/scipy/pull/11286>`__: BUG: make loadmat/savemat file opening close resources correctly * `#11287 <https://github.com/scipy/scipy/pull/11287>`__: CI: skip Azure and TravisCI builds on merges and direct pushes... * `#11288 <https://github.com/scipy/scipy/pull/11288>`__: DOC: Fix import in scipy.io.wavfile.read sample code * `#11289 <https://github.com/scipy/scipy/pull/11289>`__: BUG: Use context manager for open * `#11290 <https://github.com/scipy/scipy/pull/11290>`__: MAINT: Remove _lib._version in favour of _lib._pep440 * `#11292 <https://github.com/scipy/scipy/pull/11292>`__: DOC: special: add docstrings for various convenience functions * `#11293 <https://github.com/scipy/scipy/pull/11293>`__: DOC: special: fix typo in \`chdtri\` docstring * `#11296 <https://github.com/scipy/scipy/pull/11296>`__: DOC: special: add to docstrings of Bessel zeros and derivatives * `#11297 <https://github.com/scipy/scipy/pull/11297>`__: DOC: special: add parameters/returns sections for Bessel integrals * `#11300 <https://github.com/scipy/scipy/pull/11300>`__: MAINT: Update vendored uarray version * `#11301 <https://github.com/scipy/scipy/pull/11301>`__: CI: azure conditions should require succeeded() * `#11302 <https://github.com/scipy/scipy/pull/11302>`__: ENH: build infrastructure for ILP64 BLAS + ARPACK conversion * `#11303 <https://github.com/scipy/scipy/pull/11303>`__: DOC: special: fix typo in \`besselpoly\` docstring * `#11304 <https://github.com/scipy/scipy/pull/11304>`__: ENH: MAINT: Rewrite of eigh() and relevant wrappers * `#11306 <https://github.com/scipy/scipy/pull/11306>`__: TST: skip test_aligned_mem linalg test that is crashing on ppcle64 * `#11307 <https://github.com/scipy/scipy/pull/11307>`__: MAINT: Fix typo 'solutuion' -> 'solution' * `#11308 <https://github.com/scipy/scipy/pull/11308>`__: ENH: do not create 1d array out of a scalar * `#11310 <https://github.com/scipy/scipy/pull/11310>`__: MAINT: clean up object array creation, scalar/1d confusion * `#11311 <https://github.com/scipy/scipy/pull/11311>`__: DOC: Specify custom callable option for metric in cluster.hierarchy.fclusterdata * `#11316 <https://github.com/scipy/scipy/pull/11316>`__: BUG: special: fix behavior for \`rgamma\` zeros * `#11317 <https://github.com/scipy/scipy/pull/11317>`__: BUG: fix floating-point literal comparisons under C99 * `#11318 <https://github.com/scipy/scipy/pull/11318>`__: TST: optimize: mark two linprog tests for skipping * `#11320 <https://github.com/scipy/scipy/pull/11320>`__: BUG: Include \`int64_t\` declaration to \`rectangular_lsap.cpp\` * `#11330 <https://github.com/scipy/scipy/pull/11330>`__: MAINT: Update vendored pypocketfft version * `#11333 <https://github.com/scipy/scipy/pull/11333>`__: BUG: directed_hausdorff subset fix * `#11335 <https://github.com/scipy/scipy/pull/11335>`__: [ENH] sparse: Loosen check for sparse outer indexing fast path * `#11337 <https://github.com/scipy/scipy/pull/11337>`__: Undefined name 'e' in pavement.py * `#11338 <https://github.com/scipy/scipy/pull/11338>`__: scipyoptdoc.py: Remove unused variable 'sixu' * `#11340 <https://github.com/scipy/scipy/pull/11340>`__: xrange() was removed in Python 3 in favor of range() * `#11342 <https://github.com/scipy/scipy/pull/11342>`__: range() was removed in Py3 in _binned_statistic.py * `#11343 <https://github.com/scipy/scipy/pull/11343>`__: BUG: constants: fix 'exact' values table * `#11347 <https://github.com/scipy/scipy/pull/11347>`__: ENH: add input validation function and apply it to needed functions * `#11348 <https://github.com/scipy/scipy/pull/11348>`__: MAINT: remove six.string_types usages * `#11349 <https://github.com/scipy/scipy/pull/11349>`__: MAINT: minor doc fix _minimize_trustregion_constr * `#11353 <https://github.com/scipy/scipy/pull/11353>`__: MAINT: py3 remove various six usages * `#11358 <https://github.com/scipy/scipy/pull/11358>`__: ENH: optimize: Use CSR format instead of LIL for speed * `#11362 <https://github.com/scipy/scipy/pull/11362>`__: MAINT: sys.version_info >= 3.5 * `#11364 <https://github.com/scipy/scipy/pull/11364>`__: ENH: cache square of sums for f_oneway * `#11368 <https://github.com/scipy/scipy/pull/11368>`__: ENH: add optional argument, "include_nyquist", for freqz() * `#11372 <https://github.com/scipy/scipy/pull/11372>`__: BENCH: optimize: added linprog presolve benchmarks * `#11376 <https://github.com/scipy/scipy/pull/11376>`__: ENH: Add wrapper for ?gttrf/?gttrs * `#11377 <https://github.com/scipy/scipy/pull/11377>`__: MAINT: Remove Python 2 code from tools/authors.py * `#11378 <https://github.com/scipy/scipy/pull/11378>`__: ENH (WIP): Python wrapper for ?tbtrs * `#11379 <https://github.com/scipy/scipy/pull/11379>`__: MAINT: Remove six.with_metaclass from benchmarks/cython_special.py * `#11380 <https://github.com/scipy/scipy/pull/11380>`__: BUG: sparse/isolve: bicg and qmr don't treat x0 correctly * `#11382 <https://github.com/scipy/scipy/pull/11382>`__: MAINT: remove error throw in binned_statistic_dd() on non-finite... * `#11383 <https://github.com/scipy/scipy/pull/11383>`__: MAINT: _lib: remove py2 compat shims in getargspec * `#11384 <https://github.com/scipy/scipy/pull/11384>`__: MAINT: Use numpy scalar types directly * `#11385 <https://github.com/scipy/scipy/pull/11385>`__: ENH: special: add spherical Bessel functions to \`cython_special\` * `#11389 <https://github.com/scipy/scipy/pull/11389>`__: MAINT: line.startswith shouldn't be bytes * `#11393 <https://github.com/scipy/scipy/pull/11393>`__: ENH: Speed up truncnorm's ppf()and rvs() methods * `#11394 <https://github.com/scipy/scipy/pull/11394>`__: MAINT: Remove self._size (and self._random_state) from stats... * `#11395 <https://github.com/scipy/scipy/pull/11395>`__: correction in error message (%d->%g format) * `#11396 <https://github.com/scipy/scipy/pull/11396>`__: DOC: revert gh10540, removing mtrand * `#11397 <https://github.com/scipy/scipy/pull/11397>`__: MAINT: differential_evolution accepts np.random.Generator * `#11402 <https://github.com/scipy/scipy/pull/11402>`__: ENH: stats can use np.random.Generator * `#11404 <https://github.com/scipy/scipy/pull/11404>`__: ENH: add docstring of butter() for transfer function syntax problem * `#11405 <https://github.com/scipy/scipy/pull/11405>`__: DOC: Fix "see also" for SmoothBivariateSpline * `#11408 <https://github.com/scipy/scipy/pull/11408>`__: ENH: Add a \`plan\` argument to FFT functions in \`scipy.fft\` * `#11411 <https://github.com/scipy/scipy/pull/11411>`__: MAINT: check minimize duplicate evaluations * `#11418 <https://github.com/scipy/scipy/pull/11418>`__: ENH: Linalg: Python wrapper for ?geqrfp * `#11419 <https://github.com/scipy/scipy/pull/11419>`__: TST: Python 3.7 mac OS gcc multibuild fix * `#11423 <https://github.com/scipy/scipy/pull/11423>`__: ENH: Add tool to lint diffs * `#11425 <https://github.com/scipy/scipy/pull/11425>`__: FIX: _array_newton should preserve complex inputs * `#11426 <https://github.com/scipy/scipy/pull/11426>`__: MAINT: licence for global optimization benchmarks * `#11431 <https://github.com/scipy/scipy/pull/11431>`__: Make median_absolute_deviation scale argument aligned w/iqr * `#11432 <https://github.com/scipy/scipy/pull/11432>`__: Fix error message typo * `#11433 <https://github.com/scipy/scipy/pull/11433>`__: DOC: Remove L from longs * `#11434 <https://github.com/scipy/scipy/pull/11434>`__: MAINT: Python3 improvements to refguide_check.py * `#11435 <https://github.com/scipy/scipy/pull/11435>`__: DOC: Update runtest --parallel help * `#11436 <https://github.com/scipy/scipy/pull/11436>`__: MAINT: Remove checks for sys.version < 3.5 * `#11437 <https://github.com/scipy/scipy/pull/11437>`__: DOC: Fix documentation issue * `#11439 <https://github.com/scipy/scipy/pull/11439>`__: Support path objects (PEP 519) in mmio functions * `#11440 <https://github.com/scipy/scipy/pull/11440>`__: correct bounds pass in run_dualannealing for benchmarks/optimize.py * `#11443 <https://github.com/scipy/scipy/pull/11443>`__: BENCH: optimize_linprog remove ImportError exception * `#11453 <https://github.com/scipy/scipy/pull/11453>`__: BUG: sparse: convert csc/csr indices to int64 as needed * `#11454 <https://github.com/scipy/scipy/pull/11454>`__: DOC: Remove caveat on \`maximum_bipartite_matching\` * `#11455 <https://github.com/scipy/scipy/pull/11455>`__: BUG: Fix _lib._util.getargspec_no_self lack of KEYWORD_ONLY support. * `#11456 <https://github.com/scipy/scipy/pull/11456>`__: Implementation of khatri_rao product * `#11459 <https://github.com/scipy/scipy/pull/11459>`__: BUG: fix augmentation being broken in maximum_bipartite_matching * `#11461 <https://github.com/scipy/scipy/pull/11461>`__: MAINT: minor spelling corrections in comments in SciPy.sparse.linalg.arpack * `#11467 <https://github.com/scipy/scipy/pull/11467>`__: [MRG] Make result data type of KDE evaluation like in the input... * `#11469 <https://github.com/scipy/scipy/pull/11469>`__: Update integrate.quad documentation * `#11472 <https://github.com/scipy/scipy/pull/11472>`__: Fixed result typo * `#11476 <https://github.com/scipy/scipy/pull/11476>`__: DOC: stats: Copy-edit the anderson docstring. * `#11478 <https://github.com/scipy/scipy/pull/11478>`__: ENH: avoid unnecessary array copies in matrix product * `#11481 <https://github.com/scipy/scipy/pull/11481>`__: BUG: Make special.hyperu return nan if any argument is nan * `#11483 <https://github.com/scipy/scipy/pull/11483>`__: BUG: Fixed \`_kpp\` initialization on \`scipy.cluster.vq\`, closing... * `#11485 <https://github.com/scipy/scipy/pull/11485>`__: ENH: Update docstring of class KrylovJacobian to fix #2744 * `#11486 <https://github.com/scipy/scipy/pull/11486>`__: BUG: make special.eval_hermite return nan if second argument... * `#11487 <https://github.com/scipy/scipy/pull/11487>`__: ENH: improve docstring of correlate and correlate2d to fix #1968 * `#11488 <https://github.com/scipy/scipy/pull/11488>`__: FIX: change "func -> fun" of scipy.optimize _root.py to solve... * `#11489 <https://github.com/scipy/scipy/pull/11489>`__: BUG: fixes typo introduced in PR #11253 in stats.mstats.kendalltau() * `#11490 <https://github.com/scipy/scipy/pull/11490>`__: DOC: fix typo in scipy/io/matlab/mio4.py * `#11495 <https://github.com/scipy/scipy/pull/11495>`__: MAINT: refactor slsqp to fix issue in callback function * `#11498 <https://github.com/scipy/scipy/pull/11498>`__: [DOC] mention graph cuts in maximum flow docstring * `#11499 <https://github.com/scipy/scipy/pull/11499>`__: DOC: Improve documentation of scipy.signal.signaltools.wiener * `#11506 <https://github.com/scipy/scipy/pull/11506>`__: DOC: Fix typo in documentation of scipy.stats.morestats * `#11508 <https://github.com/scipy/scipy/pull/11508>`__: ENH: avoid copy on sparse __init__ when dtype is given * `#11509 <https://github.com/scipy/scipy/pull/11509>`__: ENH: avoid unnecessary array copies in matrix product (again) * `#11510 <https://github.com/scipy/scipy/pull/11510>`__: [DOC] An ex. for creating arbitrary size tri-diagonal * `#11511 <https://github.com/scipy/scipy/pull/11511>`__: TST: pin numba for Travis/sparse * `#11513 <https://github.com/scipy/scipy/pull/11513>`__: TST: disable NumPy cache dir ppc64le * `#11514 <https://github.com/scipy/scipy/pull/11514>`__: BUG: make special.eval_genlaguerre return nan if passed nan * `#11517 <https://github.com/scipy/scipy/pull/11517>`__: ENH: improve sparse.lil.tocsr performance * `#11519 <https://github.com/scipy/scipy/pull/11519>`__: Fix fresnel documentation * `#11520 <https://github.com/scipy/scipy/pull/11520>`__: BUG: make special.eval_gegenbauer return nan if passed nan * `#11524 <https://github.com/scipy/scipy/pull/11524>`__: ENH: Cosine Sine Decomposition * `#11526 <https://github.com/scipy/scipy/pull/11526>`__: BUG: fix SLSQP max iteration setting to fix #4921 * `#11527 <https://github.com/scipy/scipy/pull/11527>`__: ENH: improve docstring of weibull_min_gen and weibull_max_gen... * `#11530 <https://github.com/scipy/scipy/pull/11530>`__: MAINT: Removed 3 unused imports, 3 unused assignments from ndimage. * `#11531 <https://github.com/scipy/scipy/pull/11531>`__: DOC: fix typos in bdtr and bdtrc from gh PR 11045 * `#11532 <https://github.com/scipy/scipy/pull/11532>`__: MAINT: Fixed several unused imports and unused assignments from... * `#11533 <https://github.com/scipy/scipy/pull/11533>`__: MAINT: Fixed about 100 unused imports, unused assignment warnings... * `#11534 <https://github.com/scipy/scipy/pull/11534>`__: FIX: Allow non-native byte order inputs to scipy.fft * `#11535 <https://github.com/scipy/scipy/pull/11535>`__: MAINT: Fixed several unused imports in _lib. * `#11536 <https://github.com/scipy/scipy/pull/11536>`__: MAINT: Fixed several unused imports and unused assignments in... * `#11537 <https://github.com/scipy/scipy/pull/11537>`__: MAINT: Removed an unused import in scipy/constants. * `#11538 <https://github.com/scipy/scipy/pull/11538>`__: MAINT: Fixed several unused imports in scipy/fft. * `#11539 <https://github.com/scipy/scipy/pull/11539>`__: MAINT: Fixed several unused imports and unused assignments in... * `#11540 <https://github.com/scipy/scipy/pull/11540>`__: MAINT: Fixed two unused imports in scipy/misc. * `#11541 <https://github.com/scipy/scipy/pull/11541>`__: MAINT: Fixed several unused imports and unused assignments in... * `#11542 <https://github.com/scipy/scipy/pull/11542>`__: MAINT: Fixed an unused import in scipy/odr. * `#11543 <https://github.com/scipy/scipy/pull/11543>`__: MAINT: Fixed several unused imports and unused assignments in... * `#11544 <https://github.com/scipy/scipy/pull/11544>`__: MAINT: Fixed unused imports and unused assignments in scipy/integrate. * `#11545 <https://github.com/scipy/scipy/pull/11545>`__: MAINT: Removed unused imports and fixed unused assignments in... * `#11546 <https://github.com/scipy/scipy/pull/11546>`__: MAINT: Removed unused imports; fixed unused assignments in scipy/signal. * `#11547 <https://github.com/scipy/scipy/pull/11547>`__: MAINT: Removed unused imports; fixed unused assignments in scipy/spatial * `#11548 <https://github.com/scipy/scipy/pull/11548>`__: MAINT: Removed unused imports; fixed unused assignments in scipy.sparse. * `#11549 <https://github.com/scipy/scipy/pull/11549>`__: MAINT: Replace xrange with range * `#11560 <https://github.com/scipy/scipy/pull/11560>`__: MAINT: stats: remove an _argcheck call * `#11573 <https://github.com/scipy/scipy/pull/11573>`__: MAINT: Removed unused imports; fixed unused assignments in scipy/stats. * `#11574 <https://github.com/scipy/scipy/pull/11574>`__: MAINT: Small change to \`optimize.nnls\` error messages. * `#11575 <https://github.com/scipy/scipy/pull/11575>`__: MAINT: Update sytrd/hetrd tests * `#11582 <https://github.com/scipy/scipy/pull/11582>`__: MAINT: fix typo in quadpack.py closes #11448 * `#11585 <https://github.com/scipy/scipy/pull/11585>`__: TST: add openblas_support.py * `#11587 <https://github.com/scipy/scipy/pull/11587>`__: BUG: Differential evolution with LinearConstraint with sparse... * `#11588 <https://github.com/scipy/scipy/pull/11588>`__: MAINT: Fully display problem size in lsmr/lsqr. * `#11589 <https://github.com/scipy/scipy/pull/11589>`__: MAINT: Remove Python 2 workarounds * `#11590 <https://github.com/scipy/scipy/pull/11590>`__: MAINT: Remove Python2 module init * `#11605 <https://github.com/scipy/scipy/pull/11605>`__: Standardization of bounds in _linprog_util.py * `#11608 <https://github.com/scipy/scipy/pull/11608>`__: BUG: fix use of is in DE callback * `#11614 <https://github.com/scipy/scipy/pull/11614>`__: TST, MAINT: TestCtypesQuad skip with pytest * `#11619 <https://github.com/scipy/scipy/pull/11619>`__: ENH: add nan_policy argument and functionality to stats.mstats.winsorize * `#11621 <https://github.com/scipy/scipy/pull/11621>`__: MAINT: Cleanup uses of PY_VERSION_HEX, NPY_PY3K in ndimage * `#11622 <https://github.com/scipy/scipy/pull/11622>`__: MAINT: Cleanup uses of PY_VERSION_HEX, NPY_PY3K in sparse * `#11623 <https://github.com/scipy/scipy/pull/11623>`__: MAINT: Remove unnecessary 'from __future__ import ...' statements * `#11626 <https://github.com/scipy/scipy/pull/11626>`__: MAINT: Cleanup uses of PY_VERSION_HEX * `#11627 <https://github.com/scipy/scipy/pull/11627>`__: ENH: add analytic formula for normal moments * `#11628 <https://github.com/scipy/scipy/pull/11628>`__: MAINT, TST: adjust azure for matplotlib release * `#11631 <https://github.com/scipy/scipy/pull/11631>`__: Revert to old behaviour for constant cost matrices in \`linear_sum_assignment\` * `#11632 <https://github.com/scipy/scipy/pull/11632>`__: MAINT: Define ARRAY_ANYORDER with DEF instead of cdef * `#11639 <https://github.com/scipy/scipy/pull/11639>`__: BUG: interpolate/interp1d: fail gracefully on all-nan inputs * `#11640 <https://github.com/scipy/scipy/pull/11640>`__: MAINT: Fix BLAS3 trmm wrapper for "side" arg * `#11642 <https://github.com/scipy/scipy/pull/11642>`__: TST, MAINT: remove dead code in Travis CI * `#11643 <https://github.com/scipy/scipy/pull/11643>`__: MAINT: fix conversion in binom_test * `#11645 <https://github.com/scipy/scipy/pull/11645>`__: MAINT: Assorted clean up. * `#11646 <https://github.com/scipy/scipy/pull/11646>`__: MAINT: Remove unnecessary 'from __future__ import ...' statements * `#11647 <https://github.com/scipy/scipy/pull/11647>`__: DOC: document return_all arguments * `#11648 <https://github.com/scipy/scipy/pull/11648>`__: Perform geometric slerp in quaternion space * `#11651 <https://github.com/scipy/scipy/pull/11651>`__: DOC: Update paper URL in lambertw documentation * `#11653 <https://github.com/scipy/scipy/pull/11653>`__: PERF: Switch to C++ STL std::nth_element * `#11655 <https://github.com/scipy/scipy/pull/11655>`__: MAINT: Remove Python2 cStringStream * `#11657 <https://github.com/scipy/scipy/pull/11657>`__: ENH: Add wrapper for ?pttrf/?pttrs * `#11664 <https://github.com/scipy/scipy/pull/11664>`__: ENH: Add wrapper for ?gejsv * `#11665 <https://github.com/scipy/scipy/pull/11665>`__: ENH: Add wrapper for ?pteqr * `#11667 <https://github.com/scipy/scipy/pull/11667>`__: BUG: Non-central Fisher distribution (fix nan-values when nc=0) * `#11668 <https://github.com/scipy/scipy/pull/11668>`__: ENH: Add wrapper for ?gtsvx * `#11671 <https://github.com/scipy/scipy/pull/11671>`__: TST, CI: restore Azure temporarily * `#11672 <https://github.com/scipy/scipy/pull/11672>`__: Add warning to medfilt when array size < kernel_size * `#11674 <https://github.com/scipy/scipy/pull/11674>`__: TST: bump test precision for two np.dot related linalg tests. * `#11675 <https://github.com/scipy/scipy/pull/11675>`__: MAINT: pycodestyle clean-up * `#11677 <https://github.com/scipy/scipy/pull/11677>`__: ENH: Add wrapper for ?ptsvx * `#11679 <https://github.com/scipy/scipy/pull/11679>`__: BENCH: cKDTree benchmarks added: balanced/unbalanced tree (related... * `#11680 <https://github.com/scipy/scipy/pull/11680>`__: MAINT: rng_integers allows RandomState.randint or Generator.integers * `#11683 <https://github.com/scipy/scipy/pull/11683>`__: BUG: fix mode='mirror' on length 1 axes * `#11684 <https://github.com/scipy/scipy/pull/11684>`__: BUG: fix scipy.special.voigt_profile * `#11687 <https://github.com/scipy/scipy/pull/11687>`__: MAINT: sparse.linalg: avoid importing from \`np.core\` * `#11688 <https://github.com/scipy/scipy/pull/11688>`__: ENH: mypy: get specific about ignoring missing imports * `#11690 <https://github.com/scipy/scipy/pull/11690>`__: MAINT: mypy: fix errors about incompatible types in lists * `#11692 <https://github.com/scipy/scipy/pull/11692>`__: MAINT: mypy: fix remaining type errors * `#11694 <https://github.com/scipy/scipy/pull/11694>`__: TST, MAINT: bump to OpenBLAS 0.3.9 stable, raise tol for Win... * `#11697 <https://github.com/scipy/scipy/pull/11697>`__: DOC: fix pdf of norminvgauss in scipy.stats * `#11701 <https://github.com/scipy/scipy/pull/11701>`__: MAINT: special: add rudimentary types for \`_ufuncs\` extension... * `#11702 <https://github.com/scipy/scipy/pull/11702>`__: BUG: Fixed a post-merge bug for eigh() * `#11703 <https://github.com/scipy/scipy/pull/11703>`__: Improves docstring with consistent L2-norm * `#11705 <https://github.com/scipy/scipy/pull/11705>`__: DOC: Slerp the SphericalVoronoi docstring * `#11706 <https://github.com/scipy/scipy/pull/11706>`__: ENH: mypy: add \`--mypy\` option to \`runtests.py\` * `#11710 <https://github.com/scipy/scipy/pull/11710>`__: ENH: Modified stats.kstest() to use the exact stats.kstwo.sf()... * `#11715 <https://github.com/scipy/scipy/pull/11715>`__: DOC: add .. versionadded:: to as_matrix/from_matrix in spatial/transfâ€¦ * `#11716 <https://github.com/scipy/scipy/pull/11716>`__: BENCH: fix benchmark imports for \`\`optimize_linprog.py\`\` * `#11721 <https://github.com/scipy/scipy/pull/11721>`__: MAINT: io: Remove now-unnecessary \`# type: ignore\` * `#11722 <https://github.com/scipy/scipy/pull/11722>`__: MAINT: mypy: remove mpmath from the ratchet * `#11726 <https://github.com/scipy/scipy/pull/11726>`__: Handle constant input for scipy.stats.f_oneway * `#11729 <https://github.com/scipy/scipy/pull/11729>`__: BENCH: optimize: added infeasible benchmarks for linprog * `#11731 <https://github.com/scipy/scipy/pull/11731>`__: fix inaccurate information about Mac OS compiler (#11696) * `#11733 <https://github.com/scipy/scipy/pull/11733>`__: Fix inaccurate docstring example of HalfspaceIntersection * `#11734 <https://github.com/scipy/scipy/pull/11734>`__: Doc: fix inaccurate docstring of SmoothBivariateSpline. * `#11735 <https://github.com/scipy/scipy/pull/11735>`__: Bug: stats: fix wrong shape from median_absolute_deviation for... * `#11736 <https://github.com/scipy/scipy/pull/11736>`__: ENH: add input validations and its tests for FITPACK in fitpack2.py * `#11737 <https://github.com/scipy/scipy/pull/11737>`__: BUG: Prevent crashes due to MKL bug in ?heevr * `#11739 <https://github.com/scipy/scipy/pull/11739>`__: MAINT: special: add type stubs for \`_test_round.pyx\` * `#11740 <https://github.com/scipy/scipy/pull/11740>`__: MAINT: special: remove unused specfun f2py wrappers * `#11741 <https://github.com/scipy/scipy/pull/11741>`__: BUG: fix small tolerances handling for minpack and add a test. * `#11743 <https://github.com/scipy/scipy/pull/11743>`__: Doc: fix docstring of rfft, rfft2, rfftn, irfft, irfft2, irfftn... * `#11744 <https://github.com/scipy/scipy/pull/11744>`__: MAINT: Remove unused py3k.h code * `#11745 <https://github.com/scipy/scipy/pull/11745>`__: DOC: stats: Clean up ncf documentation. * `#11748 <https://github.com/scipy/scipy/pull/11748>`__: MAINT: special: type \`cython_special\` as \`Any\` * `#11750 <https://github.com/scipy/scipy/pull/11750>`__: MAINT: type hints for \`_spherical_voronoi\` * `#11752 <https://github.com/scipy/scipy/pull/11752>`__: DOC: fix docstring of scipy.optimize.least_squares * `#11753 <https://github.com/scipy/scipy/pull/11753>`__: ENH: add input validation for dendrogram and a test. * `#11755 <https://github.com/scipy/scipy/pull/11755>`__: MAINT: Replace uses of tostring with tobytes * `#11757 <https://github.com/scipy/scipy/pull/11757>`__: ENH: improve binned_statistics_2d performance. * `#11759 <https://github.com/scipy/scipy/pull/11759>`__: ENH: optimize: add HiGHS methods to linprog * `#11760 <https://github.com/scipy/scipy/pull/11760>`__: MAINT: Remove FileStream replaced by GenericStream * `#11761 <https://github.com/scipy/scipy/pull/11761>`__: MAINT: Replace npy_3kcompat.h shims * `#11765 <https://github.com/scipy/scipy/pull/11765>`__: TST: Speedup test_pascal which is VERY slow on Azure * `#11766 <https://github.com/scipy/scipy/pull/11766>`__: TST: speed up differential_evolution L8 test * `#11767 <https://github.com/scipy/scipy/pull/11767>`__: Change comment in continuous rv gamma fit function * `#11776 <https://github.com/scipy/scipy/pull/11776>`__: Add domain option for resample. * `#11784 <https://github.com/scipy/scipy/pull/11784>`__: BUG: Fixed calculation of nonzero elements in scipy.sparse.random * `#11786 <https://github.com/scipy/scipy/pull/11786>`__: ENH: stats: add axis keyword argument to scipy.stats.rankdata * `#11789 <https://github.com/scipy/scipy/pull/11789>`__: Doc: fix docstring of scipy.spatial.chebyshev * `#11792 <https://github.com/scipy/scipy/pull/11792>`__: DOC: dev: add guidelines for developing public Cython APIs * `#11794 <https://github.com/scipy/scipy/pull/11794>`__: MAINT: add comments explaining a problem in cython_optimize organization * `#11796 <https://github.com/scipy/scipy/pull/11796>`__: DOC: add a note about precision losing in csgraph.minimum_spanning_tree... * `#11797 <https://github.com/scipy/scipy/pull/11797>`__: ENH: Allow negative \`axis\` in \`interpolate.BSpline\`. Also... * `#11798 <https://github.com/scipy/scipy/pull/11798>`__: Add simplify_cells parameter to scipy.io.loadmat * `#11801 <https://github.com/scipy/scipy/pull/11801>`__: MAINT, DOC: minor changes of ratio-of-uniforms in scipy.stats * `#11802 <https://github.com/scipy/scipy/pull/11802>`__: BUG: fix scipy.odr to handle multidimensional independent and... * `#11803 <https://github.com/scipy/scipy/pull/11803>`__: scipy.stats.trapz: Use analytic formulas for stats and entropy. * `#11808 <https://github.com/scipy/scipy/pull/11808>`__: DOC: add Examples in the scipy.interpolate.interpn docstring. * `#11809 <https://github.com/scipy/scipy/pull/11809>`__: Duplicate entries are added together in csr_matrix constructor * `#11813 <https://github.com/scipy/scipy/pull/11813>`__: MAINT: bump pyflakes to version 2.1.1 * `#11814 <https://github.com/scipy/scipy/pull/11814>`__: BUG: scipy.sparse.csr doctest failing with incorrect output value * `#11817 <https://github.com/scipy/scipy/pull/11817>`__: DOC: add Examples in the scipy.optimize.leastsq docstring * `#11820 <https://github.com/scipy/scipy/pull/11820>`__: ENH: Raise an error on incorrect bounds format in optimize.fmin_l_bfgs_b * `#11822 <https://github.com/scipy/scipy/pull/11822>`__: CI: add github actions for macOS * `#11824 <https://github.com/scipy/scipy/pull/11824>`__: DOC: add Examples in scipy.optimize.line_search docstring (line_search_wolfe2) * `#11830 <https://github.com/scipy/scipy/pull/11830>`__: TST: Always use fork for multiprocessing in fft tests * `#11831 <https://github.com/scipy/scipy/pull/11831>`__: DOC: add Examples and Returns in scipy.misc.central_diff_weights... * `#11832 <https://github.com/scipy/scipy/pull/11832>`__: DOC: stats: Some small corrections to a couple docstrings. * `#11833 <https://github.com/scipy/scipy/pull/11833>`__: BUG: Fix compiler_name when there are paths used in flags * `#11836 <https://github.com/scipy/scipy/pull/11836>`__: MAINT: re-introduce multiprocessing tests on Python3.8 * `#11837 <https://github.com/scipy/scipy/pull/11837>`__: Doc: add Examples in scipy.optimize.fsolve docstring * `#11838 <https://github.com/scipy/scipy/pull/11838>`__: Doc: add Examples in scipy.sparse.linalg.minres docstring * `#11840 <https://github.com/scipy/scipy/pull/11840>`__: BUG: sparse.linalg: fix overflow in expm intermediate computation * `#11842 <https://github.com/scipy/scipy/pull/11842>`__: BLD: fix build with gfortran 10 * `#11843 <https://github.com/scipy/scipy/pull/11843>`__: MAINT: Simplify floats in constants.py * `#11847 <https://github.com/scipy/scipy/pull/11847>`__: DOC: add a tutorial of scipy.optimize.linprog * `#11849 <https://github.com/scipy/scipy/pull/11849>`__: ENH: speed up geninvgauss by using cython * `#11852 <https://github.com/scipy/scipy/pull/11852>`__: CI: remove osx from travisCI * `#11857 <https://github.com/scipy/scipy/pull/11857>`__: BUG: Change parameter fc of gausspulse to float. * `#11861 <https://github.com/scipy/scipy/pull/11861>`__: order = degree + 1 for splines * `#11863 <https://github.com/scipy/scipy/pull/11863>`__: Make g77 ABI wrapper work with gfortran ABI lapack * `#11866 <https://github.com/scipy/scipy/pull/11866>`__: MAINT: add type ignores to sympy and matplotlib imports * `#11867 <https://github.com/scipy/scipy/pull/11867>`__: CI: Add arm64 in travis-ci * `#11869 <https://github.com/scipy/scipy/pull/11869>`__: DOC: signal: Add an example to the lsim2 docstring. * `#11870 <https://github.com/scipy/scipy/pull/11870>`__: DOC: signal: Use impulse instead of impulse2 in the impulse example... * `#11871 <https://github.com/scipy/scipy/pull/11871>`__: ENH: type ufuncs in special as ufuncs instead of Any * `#11872 <https://github.com/scipy/scipy/pull/11872>`__: BUG: avoid recomputing in scipy.optimize.optimize.MemoizeJac * `#11873 <https://github.com/scipy/scipy/pull/11873>`__: DOC: signal: Fix ODE in impulse and impulse2 docstrings. * `#11874 <https://github.com/scipy/scipy/pull/11874>`__: DOC: add Examples of docstring for scipy.interpolate.approximate_taylor_polynomial * `#11878 <https://github.com/scipy/scipy/pull/11878>`__: DOC: fixed a typo under scipy/integrate/quadrature.py * `#11879 <https://github.com/scipy/scipy/pull/11879>`__: BUG: Fix index arrays overflow in sparse.kron * `#11880 <https://github.com/scipy/scipy/pull/11880>`__: DOC: stats: Add Examples for bartlett, fligner, levene. * `#11881 <https://github.com/scipy/scipy/pull/11881>`__: MAINT: normalise numpy-->np in optimize.py * `#11882 <https://github.com/scipy/scipy/pull/11882>`__: DOC: add Examples for scipy.io.readsav docstring. * `#11883 <https://github.com/scipy/scipy/pull/11883>`__: DOC: add Returns and Examples for scipy.ndimage.correlate() docstring * `#11885 <https://github.com/scipy/scipy/pull/11885>`__: BUG: stats: Handle multidimensional arrays in f_oneway, and more. * `#11889 <https://github.com/scipy/scipy/pull/11889>`__: DOC: signal: Unify lsim and lsim2 examples. * `#11896 <https://github.com/scipy/scipy/pull/11896>`__: BUG: stats: Fix handling of size 0 inputs for ttest_rel and ttest_ind. * `#11897 <https://github.com/scipy/scipy/pull/11897>`__: DOC: Remove misleading default values from fit method * `#11898 <https://github.com/scipy/scipy/pull/11898>`__: MAINT: LinearVectorFunction.J is ndarray closes #11886 * `#11902 <https://github.com/scipy/scipy/pull/11902>`__: BUG: linalg: test_heequb failure * `#11904 <https://github.com/scipy/scipy/pull/11904>`__: fix real-to-real transforms for complex inputs and overwrite_x=True * `#11906 <https://github.com/scipy/scipy/pull/11906>`__: DOC: stats: fix error caused by trapz docstring * `#11907 <https://github.com/scipy/scipy/pull/11907>`__: BUG: stats: fixed SEGFAULT from Issue #9710 * `#11912 <https://github.com/scipy/scipy/pull/11912>`__: ENH: Respect matplotlib color palette with hierarchy/dendrogram. * `#11914 <https://github.com/scipy/scipy/pull/11914>`__: DOC: refine doc for spatial.distance.squareform * `#11915 <https://github.com/scipy/scipy/pull/11915>`__: ENH: Ndim linear operator * `#11919 <https://github.com/scipy/scipy/pull/11919>`__: ENH: expose "window_size" parameter in find_peaks_cwt() * `#11920 <https://github.com/scipy/scipy/pull/11920>`__: DOC: explain M, diffev * `#11923 <https://github.com/scipy/scipy/pull/11923>`__: CI: macOS install swig closes #11922 * `#11924 <https://github.com/scipy/scipy/pull/11924>`__: DOC: add Examples for scipy.optimize.bracket() docstring * `#11930 <https://github.com/scipy/scipy/pull/11930>`__: DOC: add Examples and clean up for signal.qspline1d and signal.qspline_eval... * `#11931 <https://github.com/scipy/scipy/pull/11931>`__: DOC: add Examples for sparse.linalg.bicg docstring. * `#11933 <https://github.com/scipy/scipy/pull/11933>`__: DOC: Add original reference for Yao-Liu objective functions * `#11934 <https://github.com/scipy/scipy/pull/11934>`__: DOC, MAINT: mailmap update * `#11935 <https://github.com/scipy/scipy/pull/11935>`__: DOC: make scipy.stats.mode documentation reflect that the function... * `#11936 <https://github.com/scipy/scipy/pull/11936>`__: ENH: special: add type stubs for \`orthogonal.py\` * `#11937 <https://github.com/scipy/scipy/pull/11937>`__: DOC: Add docstring examples to fft2, ifft2, io.savemat * `#11938 <https://github.com/scipy/scipy/pull/11938>`__: MAINT: add helper function for deprecating Cython API functions * `#11942 <https://github.com/scipy/scipy/pull/11942>`__: MAINT: ignore conditional import in _lib/_util * `#11943 <https://github.com/scipy/scipy/pull/11943>`__: MAINT: special: add types for geterr/seterr/errstate * `#11946 <https://github.com/scipy/scipy/pull/11946>`__: MAINT: add py.typed marker * `#11950 <https://github.com/scipy/scipy/pull/11950>`__: TST:MAINT: separated and stabilized heequb tests * `#11952 <https://github.com/scipy/scipy/pull/11952>`__: DOC: update toolchain roadmap for py38, C99, C++11/14 * `#11957 <https://github.com/scipy/scipy/pull/11957>`__: MAINT: Use np.errstate context manager instead of np.seterr. * `#11958 <https://github.com/scipy/scipy/pull/11958>`__: MAINT: interpolate: Remove some trailing spaces. * `#11960 <https://github.com/scipy/scipy/pull/11960>`__: MAINT: Cleanup Python2 compatibility code * `#11961 <https://github.com/scipy/scipy/pull/11961>`__: MAINT: Remove numpy/npy_3kcompat.h from _superluobject.c * `#11962 <https://github.com/scipy/scipy/pull/11962>`__: DOC: Fix type of \`codes\` in docstring of \`_vq._vq()\` * `#11964 <https://github.com/scipy/scipy/pull/11964>`__: MAINT: Cleanup unused IS_PYPY * `#11969 <https://github.com/scipy/scipy/pull/11969>`__: DOC: add Examples and fix docstring for special.airye * `#11970 <https://github.com/scipy/scipy/pull/11970>`__: BUG: sparse: 'diagonal' of sparse matrices fixed to match numpy's... * `#11974 <https://github.com/scipy/scipy/pull/11974>`__: BUG: Reshape oaconvolve output even when no axes are convolved * `#11976 <https://github.com/scipy/scipy/pull/11976>`__: MAINT: add logo for github actions * `#11977 <https://github.com/scipy/scipy/pull/11977>`__: CI: test bleeding edge Python * `#11979 <https://github.com/scipy/scipy/pull/11979>`__: DOC: add Examples for stats.ranksums() docstring. * `#11982 <https://github.com/scipy/scipy/pull/11982>`__: Fix KMeans++ initialisation slowness * `#11983 <https://github.com/scipy/scipy/pull/11983>`__: DOC: add Examples for stats.mstats.argstoarray() docstring. * `#11986 <https://github.com/scipy/scipy/pull/11986>`__: Avoid bugs in ndimage when the output and input arrays overlap... * `#11988 <https://github.com/scipy/scipy/pull/11988>`__: ENH: Override fit method of Laplace distribution with Maximum... * `#11993 <https://github.com/scipy/scipy/pull/11993>`__: TST, CI: Azure Windows path fixups * `#11995 <https://github.com/scipy/scipy/pull/11995>`__: MAINT, CI: remove custom mingw Azure * `#11996 <https://github.com/scipy/scipy/pull/11996>`__: DOC: add Examples and fix pep warning for fft.set_global_backend... * `#11997 <https://github.com/scipy/scipy/pull/11997>`__: MAINT, CI: Azure OpenBLAS simplify * `#11998 <https://github.com/scipy/scipy/pull/11998>`__: BENCH: Run against current HEAD instead of master * `#12001 <https://github.com/scipy/scipy/pull/12001>`__: ENH: stats: Implement _logpdf for the maxwell distribution. * `#12004 <https://github.com/scipy/scipy/pull/12004>`__: DOC: add examples for integrate.quad_vec() and integrate.quad_explain() * `#12005 <https://github.com/scipy/scipy/pull/12005>`__: MAINT: Use helper functions in ?tbtrs tests * `#12007 <https://github.com/scipy/scipy/pull/12007>`__: MAINT: updated LICENSES_bundled for pybind11 and six * `#12008 <https://github.com/scipy/scipy/pull/12008>`__: DOC: roadmap update * `#12009 <https://github.com/scipy/scipy/pull/12009>`__: ENH: optimize: support 64-bit BLAS in lbfgsb * `#12010 <https://github.com/scipy/scipy/pull/12010>`__: ENH: sparse.linalg: support 64-bit BLAS in isolve * `#12012 <https://github.com/scipy/scipy/pull/12012>`__: DOC: add Examples for interpolate.barycentric_interpolate(),... * `#12013 <https://github.com/scipy/scipy/pull/12013>`__: MAINT: remove last uses of numpy.dual * `#12014 <https://github.com/scipy/scipy/pull/12014>`__: CI: print 10 slowest tests * `#12020 <https://github.com/scipy/scipy/pull/12020>`__: MAINT: Removed handling of circular input in SphericalVoronoi * `#12022 <https://github.com/scipy/scipy/pull/12022>`__: DOC : added default value of absolute_sigma to False in scipy.optimize.curve_fit docs * `#12024 <https://github.com/scipy/scipy/pull/12024>`__: DOC: add Examples for io.hb_read() and io.hb_write() * `#12025 <https://github.com/scipy/scipy/pull/12025>`__: MAINT: Remove numpy/npy_3kcompat.h from nd_image * `#12028 <https://github.com/scipy/scipy/pull/12028>`__: Spelling correction * `#12030 <https://github.com/scipy/scipy/pull/12030>`__: ENH: optimize/_trlib: support ILP64 blas/lapack * `#12036 <https://github.com/scipy/scipy/pull/12036>`__: MAINT: Add some generated C files .gitignore * `#12038 <https://github.com/scipy/scipy/pull/12038>`__: MAINT, CI: Travis rackcdn->conda.org * `#12039 <https://github.com/scipy/scipy/pull/12039>`__: MAINT: signal: Lower the resolution of the plots in the chirp... * `#12040 <https://github.com/scipy/scipy/pull/12040>`__: DOC: add Examples for ndimage.spline_filter1d() and spline_filter()... * `#12044 <https://github.com/scipy/scipy/pull/12044>`__: MAINT: combine apt-get update and apt-get install into one RUN * `#12045 <https://github.com/scipy/scipy/pull/12045>`__: TST: Reduce size of test_diagonal_types to speed up tests * `#12046 <https://github.com/scipy/scipy/pull/12046>`__: MAINT: Remove unused npy_3kcompat.h * `#12047 <https://github.com/scipy/scipy/pull/12047>`__: MAINT: Cython 3.0 compat * `#12050 <https://github.com/scipy/scipy/pull/12050>`__: DOC: add download number badges of PyPI and conda-forge in README.rst * `#12052 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Remove Python2 reference from stats tutorial * `#12081 <https://github.com/scipy/scipy/pull/12081>`__: DOC: add Examples docstring for optimize.show_options() * `#12084 <https://github.com/scipy/scipy/pull/12084>`__: BUG: interpolate: fix BarycentricInterpolator with integer input... * `#12089 <https://github.com/scipy/scipy/pull/12089>`__: ENH: spatial/qhull: support ILP64 Lapack * `#12090 <https://github.com/scipy/scipy/pull/12090>`__: ENH: integrate: support ILP64 BLAS in odeint/vode/lsoda * `#12091 <https://github.com/scipy/scipy/pull/12091>`__: ENH: integrate: support ILP64 in quadpack * `#12092 <https://github.com/scipy/scipy/pull/12092>`__: BUG: Fix dropping dt in signal.StateSpace * `#12093 <https://github.com/scipy/scipy/pull/12093>`__: MAINT: Rollback python2.6 workaround * `#12094 <https://github.com/scipy/scipy/pull/12094>`__: MAINT: \`openblas_support\` hash checks * `#12095 <https://github.com/scipy/scipy/pull/12095>`__: MAINT: ndimage: change \`shares_memory\` to \`may_share_memory\` * `#12098 <https://github.com/scipy/scipy/pull/12098>`__: Doc: change 4 model instances of odr to be instances of \`Model\`... * `#12101 <https://github.com/scipy/scipy/pull/12101>`__: Removed more unused imports and assignments. * `#12107 <https://github.com/scipy/scipy/pull/12107>`__: ENH: Area calculation for 2D inputs in SphericalVoronoi * `#12108 <https://github.com/scipy/scipy/pull/12108>`__: MAINT: ensure attributes have correct data type in \`SphericalVoronoi\` * `#12109 <https://github.com/scipy/scipy/pull/12109>`__: degree is not order in splines * `#12110 <https://github.com/scipy/scipy/pull/12110>`__: ENH: More helpful/forgiving io.wavfile errors * `#12117 <https://github.com/scipy/scipy/pull/12117>`__: BUG: fix newline * `#12123 <https://github.com/scipy/scipy/pull/12123>`__: [MAINT] Fix error on PyData/Sparse import. * `#12124 <https://github.com/scipy/scipy/pull/12124>`__: TST: Always test matmul now that Python3.5+ is required * `#12126 <https://github.com/scipy/scipy/pull/12126>`__: TST: Cleanup unused matplotlib code. * `#12127 <https://github.com/scipy/scipy/pull/12127>`__: DOC: update docstrings of signal.cspline2d, qspline2d, sepfir2d * `#12130 <https://github.com/scipy/scipy/pull/12130>`__: MAINT: Fixing broken links with linkchecker * `#12135 <https://github.com/scipy/scipy/pull/12135>`__: ENH: linalg: Add the function convolution_matrix. * `#12136 <https://github.com/scipy/scipy/pull/12136>`__: MAINT: Cleanup np.poly1d hack * `#12137 <https://github.com/scipy/scipy/pull/12137>`__: TST, CI: reproduce wheels 32-bit setup * `#12140 <https://github.com/scipy/scipy/pull/12140>`__: TST: stats: add kstwo, ksone to slow tests. * `#12141 <https://github.com/scipy/scipy/pull/12141>`__: Support 64-bit integer size in Fitpack * `#12151 <https://github.com/scipy/scipy/pull/12151>`__: DOC: Correct Rosenbrock function sum * `#12159 <https://github.com/scipy/scipy/pull/12159>`__: BUG: Fix length calculation in upfirdn * `#12160 <https://github.com/scipy/scipy/pull/12160>`__: BUG: Fix M_PI * `#12168 <https://github.com/scipy/scipy/pull/12168>`__: DOC: add an obsolete version checking javascript to doc release... * `#12171 <https://github.com/scipy/scipy/pull/12171>`__: CI, MAINT: Azure OpenBLAS drive flip * `#12172 <https://github.com/scipy/scipy/pull/12172>`__: ENH: Bounds for the Powell minimization method * `#12175 <https://github.com/scipy/scipy/pull/12175>`__: BLD: support more Fortran compilers for ilp64 and macro expansion... * `#12179 <https://github.com/scipy/scipy/pull/12179>`__: BUG: stats: A few distributions didn't accept lists as arguments. * `#12180 <https://github.com/scipy/scipy/pull/12180>`__: MAINT: removed redundant import in SphericalVoronoi tests * `#12181 <https://github.com/scipy/scipy/pull/12181>`__: DOC: for versionwarning don't use $.getScript * `#12182 <https://github.com/scipy/scipy/pull/12182>`__: MAINT: random sampling on the hypersphere in SphericalVoronoi... * `#12194 <https://github.com/scipy/scipy/pull/12194>`__: MAINT: Module and example cleanups for doc build * `#12202 <https://github.com/scipy/scipy/pull/12202>`__: ENH: tool to DL release wheels from Anaconda * `#12210 <https://github.com/scipy/scipy/pull/12210>`__: Remove py.typed marker (at least for the release) * `#12217 <https://github.com/scipy/scipy/pull/12217>`__: BUG: stats: Fix handling of edge cases in median_abs_deviation. * `#12223 <https://github.com/scipy/scipy/pull/12223>`__: BUG: stats: wilcoxon returned p > 1 for certain inputs. * `#12227 <https://github.com/scipy/scipy/pull/12227>`__: BLD: Set macos min version when building rectangular_lsap * `#12229 <https://github.com/scipy/scipy/pull/12229>`__: MAINT: tools/gh_lists.py: fix http header case sensitivity issue * `#12236 <https://github.com/scipy/scipy/pull/12236>`__: DOC: Fix a couple grammatical mistakes in 1.5.0-notes.rst. 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2 1

Delay Differential Equation (DDE) solver
by Jansen Jérôme May 28, 2020

May 28, 2020

My dear SciPy community, In my PhD, I work on biomechanical problematics which are (sometime) modeled with delay differential equations. Being an avid user of python and SciPy, I looked for DDEs solver but ... I was surprised not to find it in SciPy. On the contrary, I discovered lots of more or less old and very different projects about DDEs in Python (JiTCDDE, ddeint, pydelay, diffeqpy). While in other programming languages, robust code exist (matlab: dde23, julia: DelayDiffEq.jl, fortran: DKLAG6 ...). So I decided to start implementing a solver using the architecture of scipy.integrate.solve_ivp. The fork us here : https://github.com/jrmejansen/scipy/tree/ddeSolver I added the folder "*scipy/integrate/_dde*" and modified files from "scipy/integrate/_ivp" to resolve DDEs. You would find also some benchmarks but not yet unit tests. At this time, the solver, *solve_dde*, handles DDEs with constant delays for none stiff equations. Does my code interest the SciPy community ? If it does, I can add extensive unit tests and also docstring. I am open to any discussion and do not hesitate to give me feedbacks. Best regards, Jérôme JANSEN.

2 3

master branch open for 1.6.0 development
by Tyler Reddy May 28, 2020

May 28, 2020

The SciPy 1.5.x maintenance branch was pushed and master is now open for development of SciPy 1.6.0 There will possibly be some release notes backports to the maintenance branch based on unresolved discussions, but we will see... Best wishes, Tyler

5 4

New documentation section: "SciPy API Development Guide"
by Warren Weckesser May 25, 2020

May 25, 2020

Hey all, I just created a pull request in which I started a new subsection of the developer documentation called the "SciPy API Development Guide". As I write this, the CircleCI artifact containing the new page is https://19020-1460385-gh.circle-artifacts.com/0/html-scipyorg/dev/api-dev/a… The first item to be included in this section is a design specification for the `nan_policy` argument that is used in many functions in `scipy.stats`. We'll be adding `nan_policy` to more functions, so I think it will be helpful to have an explicit design spec in the docs that we all agree on. Two more topics to be added to the guidelines soon: * Creating probability distributions in stats: a guide to subclassing rv_continuous and rv_discrete. * Modifying return values to allow objects with attributes while maintaining backward compatibility with existing return values that are tuples or NamedTuples. I'm currently focused on `stats`, but this section is meant for any API guidelines or conventions that we use but that are currently only stored in our heads, in old mailing list or github threads, or in a few implementations here and there in the code. Take a look and let me know what you think. Warren

4 7

SciPy Contribution: Gammatone Filters in scipy.signal
by Shashaank Narayanan May 23, 2020

May 23, 2020

Hello SciPy Team, I am new to this mailing list, and I am interested in contributing to SciPy. I would like to suggest a new feature to be added to the scipy.signal module: gammatone filters. Gammatone filters are becoming increasingly popular in the fields of digital signal processing and music analysis as it effectively models the auditory filters of the human auditory system. Currently, there are very few implementations of gammatone filters available for Python, and these implementations are not generalized to basic finite impulse response (FIR) and infinite impulse response (IIR) filters like SciPy has. I have written my own gammatone FIR filter using NumPy based on Malcolm Slaney's 1993 paper on the topic ( https://engineering.purdue.edu/~malcolm/apple/tr35/PattersonsEar.pdf). This paper was used for Matlab's implementation of gammatone filters. I am in the process of writing a gammatone IIR filter with NumPy and SciPy. Please let me know if this feature will fit with the scipy.signal module. Appreciate your time and guidance. Thanks, Shashaank

5 6

Re: [SciPy-Dev] Extending scipy.optimize.minimize with particle swarm
by Matthias Cuntz May 19, 2020

May 19, 2020

Dear all, Andrea convinced to join the mailing list and send the code for the Shuffle Complex Evolution (SCE) algorithm. The code can be found here: https://github.com/mcuntz/jams_python/blob/master/jams/sce.py This code is based on a Fortran program of Qingyun Duan (2004), ported to Python by Stijn Van Hoey (2011, https://github.com/stijnvanhoey/Optimization_SCE). I took it up, debugged and enhanced it, and are maintaining it since 2013. It followed pretty much the development Juliane Mai and I have done on the Fortran version (https://github.com/mcuntz/jams_fortran/blob/master/mo_sce.f90). Documentation is in numpydoc format. But I have no experience about scipy standards. The code has, for example, the possibility to restart an optimisation, which is very suitable for expensive model evaluations (several hours in our examples). So the code writes out the restart information by default (can be switched off), which might be a side-effect unappreciated by scipy. Kind regards Matthias >> Hi Matt, > > On Sat, 16 May 2020 at 00.01, Matt Newville <newville at cars.uchicago.edu> > wrote: > >> Hi Andrea, >> >> On Fri, May 15, 2020 at 10:42 AM Andrea Gavana <andrea.gavana at gmail.com> >> wrote: >> >>> On Fri, 15 May 2020 at 17.21, Ralf Gommers <ralf.gommers at gmail.com> >>> wrote: >>> >>>> >>>> >>>> On Thu, May 14, 2020 at 3:55 AM Andrew Nelson <andyfaff at gmail.com> >>>> wrote: >>>> >>>>> As a global optimizer in the first instance it would probably be added >>>>> as a separate function (`particle_swarm`), rather than be added as a method >>>>> to minimize. I'm not familiar with particle swarm, are there various >>>>> types/flavours of the approach? >>>>> >>>>> The general route to adding new global optimizers is: >>>>> >>>> >>>> Thanks for this detailed reply Andrew. I think it's worth adding this to >>>> the new section of the developer guide once >>>> https://github.com/scipy/scipy/pull/12069 is merged. >>>> >>>> One thing to ask additionally here is: are particle swarm methods in >>>> scope? It would be good to compare this proposed method to for example >>>> what's currently available in PyGMO (https://esa.github.io/pygmo/). >>>> >>>> Cheers, >>>> Ralf >>>> >>> >>> My apologies for pitching in, I’m usually just an observer. I’m sure some >>> of you remember the global optimization benchmarks I once posted - and I >>> believe they have been updated, adapted and integrated in scipy: >>> >>> http://infinity77.net/global_optimization/multidimensional.html >>> >>> In the set of optimizers, a particle swarm algorithm was actually there, >>> and specifically the one from: >>> >>> http://www.norg.uminho.pt/aivaz/pswarm/ >>> >>> And it turned out to be not so bad in the end. My impression is that >>> there might be scope for a particle swarm algorithm in scipy: I’ve used a >>> few variants of them in the past where many other optimization procedures >>> failed. But then I’m just a lurker so please take my opinion with a grain >>> of salt :-). >>> >>> Andrea. >>> >> >> Thanks - I think your benchmarks are very informative and useful. FWIW, >> we have implemented the `ampgo` solver to lmfit ( >> https://lmfit.github.io/lmfit-py/fitting.html#lmfit.minimizer.Minimizer.amp…), >> mainly based on your results. >> > >Thank you, I was actually surprised one day (a while ago) while doing a >google search for AMPGO to find that it had been integrated into lmfit. I’m >glad it could be helpful. I always thought it could be improved by >implementing the gradient of the Tunnelling function (if the user has >analytical gradient of his/her function) but my math skills were too weak >to manage that... > > >> It looks to me like the next most useful to add would be `sce`. That is, >> it appears to be roughly "second best" and pretty good at being disjoint to >> `ampgo`, `basinhopping`, and `diffev`. Do you have code for this `sce` >> method that you could share? I'm afraid I know absolutely nothing about >> this method. I must admit that it was only from your work that I learned >> about `ampgo` too. >> >> Based on your results, it seems to me that adding `ampgo` and `sce` to >> scipy.optimize would be higher priorities than adding the particle smarm >> optimizer. Sure, every method has value, but using your benchmarks might >> be a good way to prioritize which methods to add. >> > >I do have the code for SCE but I’m not the original author: I was contacted >about 6 years ago via private email by Matthias Cuntz and he provided me >the code I tested: I can of course try and get in touch with him and see if >he’s willing to share it with the community - assuming there is interest >for this algorithm and that he (or someone else) is willing to bring it to >the standards of SciPy code (or other libraries in the Python Scientific >stack). > > >> Cheers, and thanks again, >> >> --Matt >> _______________________________________________ >> SciPy-Dev mailing list >> SciPy-Dev at python.org >> https://mail.python.org/mailman/listinfo/scipy-dev

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