Mailman 3 June 2020 - NumPy-Discussion

Re: [Numpy-discussion] Google Summer of Docs Faq and Tutorial Proposed Structure .
by Saber Tooth 25 Jun '20

25 Jun '20

Hello Melissa , I have altered and built upon my previous proposal , if you could take a few minutes to read it it would be great . I have tried to explain the sections we had discussed in the meeting on 22 June . Moreover as per your feedback , I would like to start contributing to the docs and start building the docs in my Linux environment . Best , Mrinal Tyagi On Wed, 24 Jun 2020 at 2:36 PM, Saber Tooth <sabertooth2022(a)gmail.com> wrote: > Hello Melissa and all the Mentors , > > In the last meeting of NumPy Docs held on June 22nd , I had Proposed > Tutorial and Faqs structure , where it was discussed how we should include > them in the new structured Documentation . > Now after a lot of Googling I have been able to provide a > structured solution > It is very important for us to include the FAQs section , but why ? > If we see how many views some questions on Stack overflow > https://stackoverflow.com/questions/tagged/numpy?tab=frequent&page=1&pagesi… > have got the answer is obvious , the 1st page itself has garnered some 4-5 *million > *views and there are really many questions . It means if we are able to > answer some of these questions ,not necessarily the exact questions , it > would be really good for the Docs . > > I have tried to break the FAQs page into sections so that everything is > not cramped onto one page and we have good docs as per SEO guidelines . > I have structured based on best practices for the FAQs section : > https://www.shivarweb.com/9665/faq-page-best-practices/ . > > I have improved further upon my previous proposal , please have a look. > Eagerly waiting @Melissa Mendonça <melissawm(a)gmail.com> @Ralf Gommers > <ralf.gommers(a)gmail.com> for your feedback on the same , I would be > obliged if you have some ideas which could be incorporated with the same or > built upon these . > > > > Link to Proposal : > https://docs.google.com/document/d/1q-BYO-GqlBIsMizCzjbANORz6OOaC-6oEzuE1_H… > > > Link to FAQs Proposed structure : > https://docs.google.com/document/d/1q-BYO-GqlBIsMizCzjbANORz6OOaC-6oEzuE1_H… > > Link to Tutorials Proposed structure : > https://docs.google.com/document/d/1q-BYO-GqlBIsMizCzjbANORz6OOaC-6oEzuE1_H… > > Thanks , > Mrinal Tyagi >

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About the apply in GSoD
by Christian Nakata 25 Jun '20

25 Jun '20

Hello members of Numpy Community My name is Christian Takashi Nakata Currently, I'm working with computer vision in my master's degree and your project ideas for the GSoD caught my attention. I've always wanted to work on open source projects, especially in libraries that I usually use. I would like to begin contributing to the Numpy documentation. However, I never worked with open source projects and I wanted to know where I should begin to write a GSoD project proposal. I would like to work with refactoring the current documentation aimed at beginners. For example, in my opinion, the page "NumPy: the absolute basics for beginners" is too verbose. The amount of information on that page can blur useful information from beginner users. The page could be divided into subtopics that jump to other pages, minimizing the amount of information that the user will face for the first time. Together, I intend to create new How Tos so that beginners will find it easier to work with the library. E.g. finishing the "How to read and write data using NumPy" page. Best regards, Christian T. Nakata

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new NumPy logo design - cast your vote!
by Inessa Pawson 25 Jun '20

25 Jun '20

One of the most discussed and commented issues in the recent history of NumPy is about to be closed. Don’t forget to cast your vote via reaction on the new NumPy logo design by this Friday, June 26th. Here are the three candidates: https://github.com/numpy/numpy.org/issues/326 https://github.com/numpy/numpy.org/issues/327 https://github.com/numpy/numpy.org/issues/328 For further info please refer to github.com/numpy/numpy.org/issues/37 -- Every good wish, *Inessa Pawson* Albus Code inessa(a)albuscode.org

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ANN: randomgen 1.19.0 release
by Kevin Sheppard 24 Jun '20

24 Jun '20

randomgen 1.19.0 has been released with bug fixes and new features. *New Features* - A helper class that lets users define custom bit generators in Python (slow) or numba (fast). This simplifies experimenting with alternative configurations. The UserBitGenerator can be used with numpy.random.Generator to produce variants from a wide range of distributions. https://bashtage.github.io/randomgen/custom-bit-generators.html - New bit generators: - PCG64DXSM - The cheap-multiplier variant that produces output before updating the state. This generator may become the default in NumPy in the future and is the 2.0 version of PCG64. - LCG128Mix - A 128-bit LCG with a settable multiplier, increment, and output function. This generator nests both PCG64 and PCG64DXSM as special cases. It also can act as a standard 128bit LCG/MCG. - EFIIX64 (x48 variant) - Chris Doty's stream cipher-like generator - SFC64 with settable counter increment which allows distinct streams to be produced from the same SeedSequence. - LXM - A generator that mixes the output of a 64 bit-LCG and a 256bit Xorshift. - ExtendedGenerator contains methods for producing variants that are not included in numpy.random.Generator. *Deprecations* Both Generator and RandomState have been officially deprecated. The NumPy versions are both better maintained and feature-rich. *Other* All bit generators have been tested output at least 1TB (many to 4TB) both as single streams, interleaved and interleaved with 4 or 8196 other bit generators. When interleaved, the additional generators were constructed using both SeedSequence.spawn and jumped (when available). https://bashtage.github.io/randomgen/testing.html

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NumPy Community Meeting Wednesday
by Sebastian Berg 23 Jun '20

23 Jun '20

Hi all, There will be a NumPy Community meeting Wednesday May 27th at 1pm Pacific Time (20:00 UTC). Everyone is invited and encouraged to join in and edit the work-in-progress meeting topics and notes at: https://hackmd.io/76o-IxCjQX2mOXO_wwkcpg?both Best wishes Sebastian

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Guidelines for NumPy tutorials
by Ben Nathanson 22 Jun '20

22 Jun '20

I've submitted PR #11 in the new numpy-tutorials repo (https://github.com/numpy/numpy-tutorials/pull/11) to provide a checklist and standard style for writing tutorials. Added tutorial content is an objective of NEP 44. We're expecting part of the content to come from new contributors (for instance, through Ryan Cooper's generous offer to get his students involved, https://mail.python.org/pipermail/numpy-discussion/2020-May/080715.htmll). The PR will provide a guide for all contributors to work from. While "tutorial" is often used broadly for introductory material, here it is closely defined: a multistep participatory walkthrough for a user new to NumPy. This is the meaning of "tutorial" in NEP 44; it was originally distinguished from other kinds of documentation by Daniele Procida (https://documentation.divio.com/tutorials/). One goal of the PR, in fact, is to make sure the tutorial stays a tutorial and doesn't mission-creep into other kinds of introductory documentation. Procida's insight is that mission creep like this leads to failed docs. At today's docs meeting it was suggested that the PR be announced on the mailing list for possible further comment.

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ANN: SciPy 1.5.0
by Tyler Reddy 22 Jun '20

22 Jun '20

Hi all, On behalf of the SciPy development team I'm pleased to announce the release of SciPy 1.5.0. Sources and binary wheels can be found at: https://pypi.org/project/scipy/ and at: https://github.com/scipy/scipy/releases/tag/v1.5.0 One of a few ways to install this release with pip: pip install scipy==1.5.0 ========================== SciPy 1.5.0 Release Notes ========================== 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.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.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. 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 Küderle + * Christoph Baumgarten * Peter Bell * Felix Berkenkamp * Jordão 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 * Sturla Molden * 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 Pióro * Peter Mahler Larsen * Eric Larson * Antony Lee * Gregory Lee + * Gregory R. Lee * Chelsea Liu * Cong Ma + * Kevin Mader + * Maja Gwóźdź + * Alex Marvin + * Matthias Kümmerer * Nikolay Mayorov * Mazay0 + * G. D. McBain * Nicholas McKibben + * Sabrina J. Mielke + * Sebastian J. Mielke + * Miloš Komarčević + * Shubham Mishra + * Santiago M. Mola + * Grzegorz Mrukwa + * Peyton Murray * Andrew Nelson * Nico Schlömer * 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 * Søren Fuglede Jørgensen * 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... * `#9658 <https://github.com/scipy/scipy/issues/9658>`__: `scipy.optimize.minimize(method='COBYLA')` not threadsafe * `#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 * `#12301 <https://github.com/scipy/scipy/issues/12301>`__: integer overflow in scipy.sparse.sputils.check_shape when matrix size > 2^32 * `#12314 <https://github.com/scipy/scipy/issues/12314>`__: scipy.spatial.transform.Rotation multiplication does not normalize quaternion 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/transf… * `#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 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<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 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NumPy 1.19.0 released
by Charles R Harris 20 Jun '20

20 Jun '20

Hi All, On behalf of the NumPy team I am pleased to announce that NumPy 1.19.0 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/1.19.0/>, source archives, release notes, and wheel hashes are available from Github <https://github.com/numpy/numpy/releases/tag/v1.19.0>. Linux users will need pip >= 0.19.3 in order to install manylinux2010 and manylinux2014 wheels. *Contributors* A total of 126 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 - Michael Hirsch + - 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 + - Robert Kern - 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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NumPy 1.19.0 release coming this weekend.
by Charles R Harris 19 Jun '20

19 Jun '20

Hi All, Just a heads up. There are no open PRs or issues with the 1.19.0 milestone and no reported problems with the 1.10.0rc2 release that I am aware of. Let me know if I have missed anything. Chuck

1 0

NumPy team update
by Ralf Gommers 19 Jun '20

19 Jun '20

Hi all, The NumPy team is growing, and it's awesome to see everything that is going on. Hard to keep up with, but that's a good thing! I think it's a good time for an update on people who gained commit rights, or joined one of the teams we now have. For those who haven't seen it yet, we have a team gallery at https://numpy.org/gallery/team.html. It isn't yet updated for the changes in this email, but gives a good picture of the current state. Matti Picus joined the Steering Council. He has been one of the driving forces behind NumPy for well over two years now, and we're very glad to have him join the council. Ross Barnowski, Melissa Weber Mendonça, Josh Wilson and Bas van Beek gained commit rights. Ross has worked on the docs and reviewed lots of doc PRs for the last six months. Melissa has led the doc structuring and tutorial writing effort and has done a good amount of f2py maintenance as well. Josh and Bas have been pushing the type annotation work forward, first in the numpy-stubs repo and now in master. It's great to have experts in all these topics join the team. Furthermore, we now have 10+ people in the community calls, the triage calls and the docs team calls (all bi-weekly and on the NumPy community calendar [1] - everyone is welcome). And there's more going on - I feel like I should mention some of the other excellent work going on: A lot of work is going into SIMD optimizations. Sayed Adel has made very nice progress on implementing universal intrinsics (NEP 38), and Raghuveer Devulapalli, Chunlin Fang and others have contributed SSE/AVX and ARM Neon implementations for many functions. For the website, Shaloo Shalini has continued working on new case studies, we're about to merge a really nice one on tracking animal movement. Ben Nathanson has contributed his technical writing and editing skills to improve our website and documentation content. And Isabela Presedo-Floyd has taken up the challenge of redesigning the NumPy logo, and we're nearing the end of the process there. The survey team has also been working hard. Inessa Pawson, Xiaoyi Deng, Stephanie Mendoza, Ross Barnowski, Sebastian Berg and a number of volunteers for translations are getting a really well-designed survey together. And then of course there's both old hands and new people doing the regular maintenance and enhancement work on the main repo. Writing this email started with "we just gave out some commit rights, we should put that on the mailing list". Then I realized there's lots of other people and activities that deserve a shout out. And probably more that I forgot (if so, apologies!). I'll stop here - thanks everyone for all you do! Cheers, Ralf [1] https://calendar.google.com/calendar?cid=YmVya2VsZXkuZWR1X2lla2dwaWdtMjMyam…

4 3