Re: [SciPy-User] ANN: SciPy 1.7.0

On Mon, Jun 21, 2021 at 4:24 AM Juan Nunez-Iglesias <[email protected]>
wrote:

> It appears that previous doc links have been broken without redirects?
> e.g.:
>
>
> https://docs.scipy.org/doc/scipy/reference/generated/scipy.ndimage.distance_transform_edt.html#scipy.ndimage.distance_transform_edt
>
> is 404. The new link is at:
>
>
> https://docs.scipy.org/doc/scipy/reference/reference/generated/scipy.ndimage.distance_transform_edt.html#scipy.ndimage.distance_transform_edt
>
> Note the extra “reference” in the URL. Was this a conscious choice or an
> unforeseen side effect of moving to the PyData theme? There’s a *lot* of
> links to the docs out there.
>

Argh, definitely a bug. The bug will be in the uploader, because
https://scipy.github.io/devdocs/reference/generated/scipy.linalg.solve.html#scipy.linalg.solve
looks fine.

Will try to resolve that later today.

Cheers,
Ralf



> Juan.
>
> On 21 Jun 2021, at 5:44 am, Tyler Reddy <[email protected]> wrote:
>
> Hi all,
>
> On behalf of the SciPy development team I'm pleased to announce
> the release of SciPy 1.7.0.
>
> Sources and binary wheels can be found at:
> https://pypi.org/project/scipy/
> and at:
> https://github.com/scipy/scipy/releases/tag/v1.7.0
>
> One of a few ways to install this release with pip:
>
> pip install scipy==1.7.0
>
> =====================
> SciPy 1.7.0 Release Notes
> =====================
>
> SciPy 1.7.0 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
> 1.7.x branch, and on adding new features on the master branch.
>
> This release requires Python 3.7+ and NumPy 1.16.5 or greater.
>
> For running on PyPy, PyPy3 6.0+ is required.
>
>
> ****************************
> Highlights of this release
> ****************************
>
> -  A new submodule for quasi-Monte Carlo, `scipy.stats.qmc`, was added
> -  The documentation design was updated to use the same PyData-Sphinx
> theme as
>   NumPy and other ecosystem libraries.
> -  We now vendor and leverage the Boost C++ library to enable numerous
>   improvements for long-standing weaknesses in `scipy.stats`
> -  `scipy.stats` has six new distributions, eight new (or overhauled)
>   hypothesis tests, a new function for bootstrapping, a class that enables
>   fast random variate sampling and percentile point function evaluation,
>   and many other enhancements.
> -  ``cdist`` and ``pdist`` distance calculations are faster for several
> metrics,
>   especially weighted cases, thanks to a rewrite to a new C++ backend
> framework
> -  A new class for radial basis function interpolation, `RBFInterpolator`,
> was
>   added to address issues with the `Rbf` class.
>
> We gratefully acknowledge the Chan-Zuckerberg Initiative Essential Open
> Source
> Software for Science program for supporting many of the improvements to
> `scipy.stats`.
>
> ***************
> New features
> ***************
>
> `scipy.cluster` improvements
> ======================
>
> An optional argument, ``seed``, has been added to ``kmeans`` and
> ``kmeans2`` to
> set the random generator and random state.
>
> `scipy.interpolate` improvements
> =========================
>
> Improved input validation and error messages for ``fitpack.bispev`` and
> ``fitpack.parder`` for scenarios that previously caused substantial
> confusion
> for users.
>
> The class `RBFInterpolator` was added to supersede the `Rbf` class. The new
> class has usage that more closely follows other interpolator classes,
> corrects
> sign errors that caused unexpected smoothing behavior, includes polynomial
> terms in the interpolant (which are necessary for some RBF choices), and
> supports interpolation using only the k-nearest neighbors for memory
> efficiency.
>
> `scipy.linalg` improvements
> =====================
>
> An LAPACK wrapper was added for access to the ``tgexc`` subroutine.
>
> `scipy.ndimage` improvements
> =======================
>
> `scipy.ndimage.affine_transform` is now able to infer the ``output_shape``
> from
> the ``out`` array.
>
> `scipy.optimize` improvements
> =======================
>
> The optional parameter ``bounds`` was added to
> ``_minimize_neldermead`` to support bounds constraints
> for the Nelder-Mead solver.
>
> ``trustregion`` methods ``trust-krylov``, ``dogleg`` and ``trust-ncg`` can
> now
> estimate ``hess`` by finite difference using one of
> ``["2-point", "3-point", "cs"]``.
>
> ``halton`` was added as a ``sampling_method`` in `scipy.optimize.shgo`.
> ``sobol`` was fixed and is now using `scipy.stats.qmc.Sobol`.
>
> ``halton`` and ``sobol`` were added as ``init`` methods in
> `scipy.optimize.differential_evolution.`
>
> ``differential_evolution`` now accepts an ``x0`` parameter to provide an
> initial guess for the minimization.
>
> ``least_squares`` has a modest performance improvement when SciPy is built
> with Pythran transpiler enabled.
>
> When ``linprog`` is used with ``method`` ``'highs'``, ``'highs-ipm'``, or
> ``'highs-ds'``, the result object now reports the marginals (AKA shadow
> prices, dual values) and residuals associated with each constraint.
>
> `scipy.signal` improvements
> =====================
>
> ``get_window`` supports ``general_cosine`` and ``general_hamming`` window
> functions.
>
> `scipy.signal.medfilt2d` now releases the GIL where appropriate to enable
> performance gains via multithreaded calculations.
>
> `scipy.sparse` improvements
> ======================
>
> Addition of ``dia_matrix`` sparse matrices is now faster.
>
>
> `scipy.spatial` improvements
> ======================
>
> ``distance.cdist`` and ``distance.pdist`` performance has greatly improved
> for
> certain weighted metrics. Namely: ``minkowski``, ``euclidean``,
> ``chebyshev``,
> ``canberra``, and ``cityblock``.
>
> Modest performance improvements for many of the unweighted ``cdist`` and
> ``pdist`` metrics noted above.
>
> The parameter ``seed`` was added to `scipy.spatial.vq.kmeans` and
> `scipy.spatial.vq.kmeans2`.
>
> The parameters ``axis`` and ``keepdims`` where added to
> `scipy.spatial.distance.jensenshannon`.
>
> The ``rotation`` methods ``from_rotvec`` and ``as_rotvec`` now accept a
> ``degrees`` argument to specify usage of degrees instead of radians.
>
> `scipy.special` improvements
> ======================
>
> Wright's generalized Bessel function for positive arguments was added as
> `scipy.special.wright_bessel.`
>
> An implementation of the inverse of the Log CDF of the Normal Distribution
> is
> now available via `scipy.special.ndtri_exp`.
>
> `scipy.stats` improvements
> ====================
>
> Hypothesis Tests
> -----------------------
>
> The Mann-Whitney-Wilcoxon test, ``mannwhitneyu``, has been rewritten. It
> now
> supports n-dimensional input, an exact test method when there are no ties,
> and improved documentation. Please see "Other changes" for adjustments to
> default behavior.
>
> The new function `scipy.stats.binomtest` replaces
> `scipy.stats.binom_test`. The
> new function returns an object that calculates a confidence intervals of
> the
> proportion parameter. Also, performance was improved from O(n) to
> O(log(n)) by
> using binary search.
>
> The two-sample version of the Cramer-von Mises test is implemented in
> `scipy.stats.cramervonmises_2samp`.
>
> The Alexander-Govern test is implemented in the new function
> `scipy.stats.alexandergovern`.
>
> The new functions `scipy.stats.barnard_exact` and  `scipy.stats.
> boschloo_exact`
> respectively perform Barnard's exact test and Boschloo's exact test
> for 2x2 contingency tables.
>
> The new function `scipy.stats.page_trend_test` performs Page's test for
> ordered
> alternatives.
>
> The new function `scipy.stats.somersd` performs Somers' D test for ordinal
> association between two variables.
>
> An option, ``permutations``, has been added in `scipy.stats.ttest_ind` to
> perform permutation t-tests. A ``trim`` option was also added to perform
> a trimmed (Yuen's) t-test.
>
> The ``alternative`` parameter was added to the ``skewtest``,
> ``kurtosistest``,
> ``ranksums``, ``mood``, ``ansari``, ``linregress``, and ``spearmanr``
> functions
> to allow one-sided hypothesis testing.
>
> Sample statistics
> -----------------------
>
> The new function `scipy.stats.differential_entropy` estimates the
> differential
> entropy of a continuous distribution from a sample.
>
> The ``boxcox`` and ``boxcox_normmax`` now allow the user to control the
> optimizer used to minimize the negative log-likelihood function.
>
> A new function `scipy.stats.contingency.relative_risk` calculates the
> relative risk, or risk ratio, of a 2x2 contingency table. The object
> returned has a method to compute the confidence interval of the relative
> risk.
>
> Performance improvements in the ``skew`` and ``kurtosis`` functions
> achieved
> by removal of repeated/redundant calculations.
>
> Substantial performance improvements in
> `scipy.stats.mstats.hdquantiles_sd`.
>
> The new function `scipy.stats.contingency.association` computes several
> measures of association for a contingency table: Pearsons contingency
> coefficient, Cramer's V, and Tschuprow's T.
>
> The parameter ``nan_policy`` was added to `scipy.stats.zmap` to provide
> options
> for handling the occurrence of ``nan`` in the input data.
>
> The parameter ``ddof`` was added to `scipy.stats.variation` and
> `scipy.stats.mstats.variation`.
>
> The parameter ``weights`` was added to `scipy.stats.gmean`.
>
> Statistical Distributions
> -------------------------------
>
> We now vendor and leverage the Boost C++ library to address a number of
> previously reported issues in ``stats``. Notably, ``beta``, ``binom``,
> ``nbinom`` now have Boost backends, and it is straightforward to leverage
> the backend for additional functions.
>
> The skew Cauchy probability distribution has been implemented as
> `scipy.stats.skewcauchy`.
>
> The Zipfian probability distribution has been implemented as
> `scipy.stats.zipfian`.
>
> The new distributions ``nchypergeom_fisher`` and ``nchypergeom_wallenius``
> implement the Fisher and Wallenius versions of the noncentral
> hypergeometric
> distribution, respectively.
>
> The generalized hyperbolic distribution was added in
> `scipy.stats.genhyperbolic`.
>
> The studentized range distribution was added in
> `scipy.stats.studentized_range`.
>
> `scipy.stats.argus` now has improved handling for small parameter values.
>
> Better argument handling/preparation has resulted in performance
> improvements
> for many distributions.
>
> The ``cosine`` distribution has added ufuncs for ``ppf``, ``cdf``, ``sf``,
> and
> ``isf`` methods including numerical precision improvements at the edges of
> the
> support of the distribution.
>
> An option to fit the distribution to data by the method of moments has been
> added to the ``fit`` method of the univariate continuous distributions.
>
> Other
> ---------
> `scipy.stats.bootstrap` has been added to allow estimation of the
> confidence
> interval and standard error of a statistic.
>
> The new function `scipy.stats.contingency.crosstab` computes a contingency
> table (i.e. a table of counts of unique entries) for the given data.
>
> `scipy.stats.NumericalInverseHermite` enables fast random variate sampling
> and percentile point function evaluation of an arbitrary univariate
> statistical
> distribution.
>
> New `scipy.stats.qmc` module
> -----------------------------------------
>
> This new module provides Quasi-Monte Carlo (QMC) generators and associated
> helper functions.
>
> It provides a generic class `scipy.stats.qmc.QMCEngine` which defines a QMC
> engine/sampler. An engine is state aware: it can be continued, advanced and
> reset. 3 base samplers are available:
>
> -  `scipy.stats.qmc.Sobol` the well known Sobol low discrepancy sequence.
>   Several warnings have been added to guide the user into properly using
> this
>   sampler. The sequence is scrambled by default.
> -  `scipy.stats.qmc.Halton`: Halton low discrepancy sequence. The sequence
> is
>   scrambled by default.
> -  `scipy.stats.qmc.LatinHypercube`: plain LHS design.
>
> And 2 special samplers are available:
>
> -  `scipy.stats.qmc.MultinomialQMC`: sampling from a multinomial
> distribution
>   using any of the base `scipy.stats.qmc.QMCEngine`.
> -  `scipy.stats.qmc.MultivariateNormalQMC`: sampling from a multivariate
> Normal
>   using any of the base `scipy.stats.qmc.QMCEngine`.
>
> The module also provide the following helpers:
>
> -  `scipy.stats.qmc.discrepancy`: assess the quality of a set of points in
> terms
>   of space coverage.
> -  `scipy.stats.qmc.update_discrepancy`: can be used in an optimization
> loop to
>   construct a good set of points.
> -  `scipy.stats.qmc.scale`: easily scale a set of points from (to) the unit
>   interval to (from) a given range.
>
>
> ***********************
> Deprecated features
> ***********************
>
> `scipy.linalg` deprecations
> ====================
>
> -  `scipy.linalg.pinv2` is deprecated and its functionality is completely
>   subsumed into `scipy.linalg.pinv`
> -  Both ``rcond``, ``cond`` keywords of `scipy.linalg.pinv` and
>   `scipy.linalg.pinvh` were not working and now are deprecated. They are
> now
>   replaced with functioning ``atol`` and ``rtol`` keywords with clear
> usage.
>
> `scipy.spatial` deprecations
> =====================
>
> -  `scipy.spatial.distance` metrics expect 1d input vectors but will call
>   ``np.squeeze`` on their inputs to accept any extra length-1 dimensions.
> That
>   behaviour is now deprecated.
>
> *****************
> Other changes
> *****************
>
> We now accept and leverage performance improvements from the ahead-of-time
> Python-to-C++ transpiler, Pythran, which can be optionally disabled (via
> ``export SCIPY_USE_PYTHRAN=0``) but is enabled by default at build time.
>
> There are two changes to the default behavior of
> `scipy.stats.mannwhitenyu`:
>
> -  For years, use of the default ``alternative=None`` was deprecated;
> explicit
>   ``alternative`` specification was required. Use of the new default value
> of
>   ``alternative``, "two-sided", is now permitted.
> -  Previously, all p-values were based on an asymptotic approximation.
> Now, for
>   small samples without ties, the p-values returned are exact by default.
>
> Support has been added for PEP 621 (project metadata in ``pyproject.toml``)
>
> We now support a Gitpod environment to reduce the barrier to entry for
> SciPy
> development; for more details see :ref:`quickstart-gitpod`.
>
>
> *********
> Authors
> *********
>
> * @endolith
> * Jelle Aalbers +
> * Adam +
> * Tania Allard +
> * Sven Baars +
> * Max Balandat +
> * baumgarc +
> * Christoph Baumgarten
> * Peter Bell
> * Lilian Besson
> * Robinson Besson +
> * Max Bolingbroke
> * Blair Bonnett +
> * Jordão Bragantini
> * Harm Buisman +
> * Evgeni Burovski
> * Matthias Bussonnier
> * Dominic C
> * CJ Carey
> * Ramón Casero +
> * Chachay +
> * charlotte12l +
> * Benjamin Curtice Corbett +
> * Falcon Dai +
> * Ian Dall +
> * Terry Davis
> * droussea2001 +
> * DWesl +
> * dwight200 +
> * Thomas J. Fan +
> * Joseph Fox-Rabinovitz
> * Max Frei +
> * Laura Gutierrez Funderburk +
> * gbonomib +
> * Matthias Geier +
> * Pradipta Ghosh +
> * Ralf Gommers
> * Evan H +
> * h-vetinari
> * Matt Haberland
> * Anselm Hahn +
> * Alex Henrie
> * Piet Hessenius +
> * Trever Hines +
> * Elisha Hollander +
> * Stephan Hoyer
> * Tom Hu +
> * Kei Ishikawa +
> * Julien Jerphanion
> * Robert Kern
> * Shashank KS +
> * Peter Mahler Larsen
> * Eric Larson
> * Cheng H. Lee +
> * Gregory R. Lee
> * Jean-Benoist Leger +
> * lgfunderburk +
> * liam-o-marsh +
> * Xingyu Liu +
> * Alex Loftus +
> * Christian Lorentzen +
> * Cong Ma
> * Marc +
> * MarkPundurs +
> * Markus Löning +
> * Liam Marsh +
> * Nicholas McKibben
> * melissawm +
> * Jamie Morton
> * Andrew Nelson
> * Nikola Forró
> * Tor Nordam +
> * Olivier Gauthé +
> * Rohit Pandey +
> * Avanindra Kumar Pandeya +
> * Tirth Patel
> * paugier +
> * Alex H. Wagner, PhD +
> * Jeff Plourde +
> * Ilhan Polat
> * pranavrajpal +
> * Vladyslav Rachek
> * Bharat Raghunathan
> * Recursing +
> * Tyler Reddy
> * Lucas Roberts
> * Gregor Robinson +
> * Pamphile Roy +
> * Atsushi Sakai
> * Benjamin Santos
> * Martin K. Scherer +
> * Thomas Schmelzer +
> * Daniel Scott +
> * Sebastian Wallkötter +
> * serge-sans-paille +
> * Namami Shanker +
> * Masashi Shibata +
> * Alexandre de Siqueira +
> * Albert Steppi +
> * Adam J. Stewart +
> * Kai Striega
> * Diana Sukhoverkhova
> * Søren Fuglede Jørgensen
> * Mike Taves
> * Dan Temkin +
> * Nicolas Tessore +
> * tsubota20 +
> * Robert Uhl
> * christos val +
> * Bas van Beek +
> * Ashutosh Varma +
> * Jose Vazquez +
> * Sebastiano Vigna
> * Aditya Vijaykumar
> * VNMabus
> * Arthur Volant +
> * Samuel Wallan
> * Stefan van der Walt
> * Warren Weckesser
> * Anreas Weh
> * Josh Wilson
> * Rory Yorke
> * Egor Zemlyanoy
> * Marc Zoeller +
> * zoj613 +
> * 秋纫 +
>
> A total of 126 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 1.7.0
> **************************
>
> * `#636 <https://github.com/scipy/scipy/issues/636>`__: Statistics
> Review: mannwhitneyu (Trac #109)
> * `#1346 <https://github.com/scipy/scipy/issues/1346>`__:
> signal.medfilt2d should fall back on signal.medfilt for types...
> * `#2118 <https://github.com/scipy/scipy/issues/2118>`__: Mann-Whitney
> statistic returns incorrect results (Trac #1593)
> * `#2158 <https://github.com/scipy/scipy/issues/2158>`__:
> special.chndtrix (ncx2.ppf) gives wrong results (Trac #1633)
> * `#3284 <https://github.com/scipy/scipy/issues/3284>`__: build_sphinx
> weirdness
> * `#3352 <https://github.com/scipy/scipy/issues/3352>`__: beta
> distribution sf
> * `#4067 <https://github.com/scipy/scipy/issues/4067>`__: Mannwhitneyu
> with arrays full of nan still reports significance
> * `#4080 <https://github.com/scipy/scipy/issues/4080>`__: entropy in Scipy
> * `#4641 <https://github.com/scipy/scipy/issues/4641>`__:
> mstats.mannwhitneyu and stats.mannwhitneyu return inconsistent...
> * `#5122 <https://github.com/scipy/scipy/issues/5122>`__:
> scipy.stats.binom.ppf Incorrect for p=0
> * `#5180 <https://github.com/scipy/scipy/issues/5180>`__: Rbf
> interpolation - use only K nearest neighbors
> * `#5258 <https://github.com/scipy/scipy/issues/5258>`__:
> affine_transform complains about output_shape when output array...
> * `#5562 <https://github.com/scipy/scipy/issues/5562>`__: Wishart degrees
> of freedom should be $v > p-1$ instead of $v...
> * `#5933 <https://github.com/scipy/scipy/issues/5933>`__: mstats_basic.py
> - mannwhitneyu [scipy/scipy/stats/mstats_basic.py]
> * `#6409 <https://github.com/scipy/scipy/issues/6409>`__:
> _unequal_var_ttest_denom causes ZeroDivisionError in early samples
> * `#6682 <https://github.com/scipy/scipy/issues/6682>`__: negative
> binomial survival function is imprecise
> * `#6897 <https://github.com/scipy/scipy/issues/6897>`__:
> scipy.stats.mannwhitneyu of empty sets gives p=0.0 and does not...
> * `#7303 <https://github.com/scipy/scipy/issues/7303>`__: stats.describe
> with nan_policy=omit returns matrix-wide minmax...
> * `#7406 <https://github.com/scipy/scipy/issues/7406>`__:
> scipy.stats.binom.ppf returns nan for q between 0 and 1 if n...
> * `#7437 <https://github.com/scipy/scipy/issues/7437>`__: ENH: add skewed
> Cauchy distribution to stats
> * `#7542 <https://github.com/scipy/scipy/issues/7542>`__: DOC: stats
> tutorials: Questions on arcsine and Student t formulae
> * `#7593 <https://github.com/scipy/scipy/issues/7593>`__: Meaning of
> \`tol\` argument in \`scipy.optimize.minimize\` is...
> * `#8565 <https://github.com/scipy/scipy/issues/8565>`__: Error in
> SmoothSphereBivariateSpline(): "ValueError: Error code...
> * `#8665 <https://github.com/scipy/scipy/issues/8665>`__:
> \`scipy.ncx2.sf\` should be monotone decreasing
> * `#8836 <https://github.com/scipy/scipy/issues/8836>`__:
> scipy.optimize.linprog(method='simplex') needs to return duals
> * `#9184 <https://github.com/scipy/scipy/issues/9184>`__: Mann-Whitney
> implementation wrong?
> * `#9450 <https://github.com/scipy/scipy/issues/9450>`__: allow seeding
> of init methods in vq.kmeans2
> * `#9704 <https://github.com/scipy/scipy/issues/9704>`__:
> RectSphereBivariateSpline fails for negative longitude
> * `#9836 <https://github.com/scipy/scipy/issues/9836>`__:
> scipy.stats.rice gives incorrect results when s is very low compared...
> * `#9904 <https://github.com/scipy/scipy/issues/9904>`__:
> Request/Proposal: Greatly improve scipy.interpolate.Rbf
> * `#9981 <https://github.com/scipy/scipy/issues/9981>`__: stats.kruskal :
> add a warning for an input with 2 or more columns
> * `#10358 <https://github.com/scipy/scipy/issues/10358>`__: DOC: linprog
> and linear_sum_assignment tutorials needed
> * `#10908 <https://github.com/scipy/scipy/issues/10908>`__: Nakami
> fitting doesn't converge (scipy.stats)
> * `#10933 <https://github.com/scipy/scipy/issues/10933>`__: Add scaled
> inverse chi2 distribution
> * `#11014 <https://github.com/scipy/scipy/issues/11014>`__: Barnard's
> Test for More Powerful Hypothesis Testing of 2x2 Contingency...
> * `#11050 <https://github.com/scipy/scipy/issues/11050>`__: Feature
> request: Nelder-Mead with bounds
> * `#11086 <https://github.com/scipy/scipy/issues/11086>`__:
> scipy.stats.skew doesn't work correctly for float point numbers
> * `#11113 <https://github.com/scipy/scipy/issues/11113>`__: inconsistent
> result from ttest_ind and mannwhitneyu when used...
> * `#11134 <https://github.com/scipy/scipy/issues/11134>`__: Wrong
> confidence interval for binomial distribution with p=0
> * `#11325 <https://github.com/scipy/scipy/issues/11325>`__: Add axis
> parameter for scipy.spatial.distance.jensenshannon
> * `#11474 <https://github.com/scipy/scipy/issues/11474>`__:
> scipy.stats.skellam.cdf(0) returns 0 for large mu1 = mu2
> * `#11523 <https://github.com/scipy/scipy/issues/11523>`__:
> scipy.stats.zipf doesn't implement zipf distribution
> * `#11848 <https://github.com/scipy/scipy/issues/11848>`__: How to get
> Lagrange / lambda multipliers out of 'linprog' optimize...
> * `#11909 <https://github.com/scipy/scipy/issues/11909>`__: Enable bounds
> for lambda in boxcox
> * `#12118 <https://github.com/scipy/scipy/issues/12118>`__: Docstring
> missing defaults
> * `#12132 <https://github.com/scipy/scipy/issues/12132>`__: Slow tests to
> be trimmed or moved to test('full')
> * `#12230 <https://github.com/scipy/scipy/issues/12230>`__: Dendrogram:
> enable leaves labelling with 'labels' when using...
> * `#12282 <https://github.com/scipy/scipy/issues/12282>`__:
> scipy.stats.chisquare test does not check that observed and expected...
> * `#12298 <https://github.com/scipy/scipy/issues/12298>`__: BUG:
> fmin_powell missing squeeze in 1.5.0rc
> * `#12403 <https://github.com/scipy/scipy/issues/12403>`__: Add
> nan_policy to stats.zmap
> * `#12518 <https://github.com/scipy/scipy/issues/12518>`__: Null
> hypothesis of Kolmogorov Smirnov test is not correctly described
> * `#12534 <https://github.com/scipy/scipy/issues/12534>`__: Feature
> request: scipy.linalg.norm to deal with 0-size array
> * `#12622 <https://github.com/scipy/scipy/issues/12622>`__:
> scipy.interpolate.interpn docstring example
> * `#12635 <https://github.com/scipy/scipy/issues/12635>`__:
> scipy.stats.beta.ppf gives unexpexted results
> * `#12669 <https://github.com/scipy/scipy/issues/12669>`__:
> Median-averaging of complex CSDs
> * `#12731 <https://github.com/scipy/scipy/issues/12731>`__:
> stats.ncx2.cdf fails for nc >> x >> 1
> * `#12778 <https://github.com/scipy/scipy/issues/12778>`__: Confusing
> documentation of scipy.stats.weightedtau
> * `#12794 <https://github.com/scipy/scipy/issues/12794>`__: [Bug] The
> result of stats.beta.isf is inconsistent with stats.beta.sf
> * `#12837 <https://github.com/scipy/scipy/issues/12837>`__:
> stats.mannwhitneyu could support arrays
> * `#12868 <https://github.com/scipy/scipy/issues/12868>`__: Vector-valued
> interpolation in \`interp2d\`
> * `#12922 <https://github.com/scipy/scipy/issues/12922>`__: Minimize with
> trust-constr method leads to TypeError if option...
> * `#12929 <https://github.com/scipy/scipy/issues/12929>`__: The use of
> starred expressions to create data detracts from understanding...
> * `#12965 <https://github.com/scipy/scipy/issues/12965>`__: domain of
> argument of scipy.interpolate.RectSphereBivariateSpline(u,...
> * `#13025 <https://github.com/scipy/scipy/issues/13025>`__: Generalized
> Hyperbolic Distribution
> * `#13090 <https://github.com/scipy/scipy/issues/13090>`__: Broken link
> in doc for signal.max_len_seq
> * `#13101 <https://github.com/scipy/scipy/issues/13101>`__: MAINT:
> Upgrade python version in docker file
> * `#13158 <https://github.com/scipy/scipy/issues/13158>`__:
> \`signal.get_window()\` has a missing doc link and cannot get...
> * `#13173 <https://github.com/scipy/scipy/issues/13173>`__: Uninformative
> error message from bisplev function
> * `#13234 <https://github.com/scipy/scipy/issues/13234>`__: BUG: stats:
> Wrong shape of burr.moment() and fisk.moment() when...
> * `#13242 <https://github.com/scipy/scipy/issues/13242>`__: Does kmeans
> "drop" clusters?
> * `#13243 <https://github.com/scipy/scipy/issues/13243>`__: tgsen uses an
> output argument for computing a default argument
> * `#13245 <https://github.com/scipy/scipy/issues/13245>`__: Kurtosis
> returning 1 for array of same elements
> * `#13257 <https://github.com/scipy/scipy/issues/13257>`__: GitHub
> Actions test failures for MacOS
> * `#13272 <https://github.com/scipy/scipy/issues/13272>`__:
> scipy.stats.yeojohnson_llf doc mistake
> * `#13280 <https://github.com/scipy/scipy/issues/13280>`__: Wrong results
> with hypergeom cdf
> * `#13285 <https://github.com/scipy/scipy/issues/13285>`__: description
> correction in scipy.stats.t
> * `#13287 <https://github.com/scipy/scipy/issues/13287>`__: Generate
> binomial CDF with mu instead of prob
> * `#13294 <https://github.com/scipy/scipy/issues/13294>`__: BUG: stats:
> wrong bounds returned by 'support' method for distributions...
> * `#13299 <https://github.com/scipy/scipy/issues/13299>`__: Typing for
> scipy.spatial
> * `#13300 <https://github.com/scipy/scipy/issues/13300>`__: Add a single
> individual to a latinhypercube initial population...
> * `#13311 <https://github.com/scipy/scipy/issues/13311>`__: MAINT:
> pavement.py PYVER is outdated
> * `#13339 <https://github.com/scipy/scipy/issues/13339>`__: savemat
> discards dimension information if any dimension is zero
> * `#13341 <https://github.com/scipy/scipy/issues/13341>`__: add
> scipy.stats.variation with an ddof parameter
> * `#13353 <https://github.com/scipy/scipy/issues/13353>`__:
> Documentation: in scipy.stats.johnsonsu, parameter \`a\` can...
> * `#13405 <https://github.com/scipy/scipy/issues/13405>`__: TST: add a
> few tests for sparse BSR ctor
> * `#13410 <https://github.com/scipy/scipy/issues/13410>`__: BUG: skew for
> empty array raises
> * `#13417 <https://github.com/scipy/scipy/issues/13417>`__: 10,000 times
> speedup for generating random numbers from the cosine...
> * `#13440 <https://github.com/scipy/scipy/issues/13440>`__: python
> runtest.py -t path-to-test.py failed
> * `#13454 <https://github.com/scipy/scipy/issues/13454>`__: Scipy cosine
> distance can be greater than 2
> * `#13459 <https://github.com/scipy/scipy/issues/13459>`__: Broken link
> in cramervonmises documentation
> * `#13494 <https://github.com/scipy/scipy/issues/13494>`__: One-word typo
> in the documentation of optimize.linprog_simplex
> * `#13501 <https://github.com/scipy/scipy/issues/13501>`__: minimize
> using Powell methods with Bounds leads to "TypeError:...
> * `#13509 <https://github.com/scipy/scipy/issues/13509>`__:
> signal.medfilt2d vs ndimage.median_filter
> * `#13511 <https://github.com/scipy/scipy/issues/13511>`__: DOC: error in
> description of "direc" parameter of "fmin_powell"
> * `#13526 <https://github.com/scipy/scipy/issues/13526>`__: TST: stats:
> intermittent \`test_ttest_ind_randperm_alternative2...
> * `#13536 <https://github.com/scipy/scipy/issues/13536>`__:
> \`_within_tolerance\` seems an unnecessary repetition of \`numpy.isclose\`
> * `#13540 <https://github.com/scipy/scipy/issues/13540>`__: missing
> python 3.8 manylinux wheels on scipy-wheels-nightly
> * `#13559 <https://github.com/scipy/scipy/issues/13559>`__: shape error
> in linprog with revised simplex
> * `#13587 <https://github.com/scipy/scipy/issues/13587>`__:
> binned_statistic unreliable with single precision
> * `#13589 <https://github.com/scipy/scipy/issues/13589>`__: Better
> argument preparation for distributions in stats package.
> * `#13602 <https://github.com/scipy/scipy/issues/13602>`__: The
> crystallball distribution entropy is sometimes minus infinity
> * `#13606 <https://github.com/scipy/scipy/issues/13606>`__: MAINT: mypy:
> some typing errors while running mypy + adding mypy...
> * `#13608 <https://github.com/scipy/scipy/issues/13608>`__: Why does
> stats.binned_statistic_2d convert its values argument...
> * `#13609 <https://github.com/scipy/scipy/issues/13609>`__: BUG: SciPy
> pip install -e gets unusable version spec
> * `#13610 <https://github.com/scipy/scipy/issues/13610>`__: Highs solver
> did not provide a solution nor did it report a failure
> * `#13614 <https://github.com/scipy/scipy/issues/13614>`__: BUG:
> invgauss.cdf should return the correct value when \`mu\`...
> * `#13628 <https://github.com/scipy/scipy/issues/13628>`__: 1-letter typo
> in the definition of scipy.special.spence function...
> * `#13634 <https://github.com/scipy/scipy/issues/13634>`__: mmwrite fails
> on dense, skew-symmetric array
> * `#13646 <https://github.com/scipy/scipy/issues/13646>`__: Sparse matrix
> argmax() integer overflow on Windows 10
> * `#13647 <https://github.com/scipy/scipy/issues/13647>`__:
> \`scipy.stats.qmc.LatinHypercube\` cannot sample single sample...
> * `#13651 <https://github.com/scipy/scipy/issues/13651>`__: Documentation
> wrong in scipy.linalg.eigvalsh
> * `#13664 <https://github.com/scipy/scipy/issues/13664>`__: BUG: gamma
> distribution's inverse survival function overflows...
> * `#13693 <https://github.com/scipy/scipy/issues/13693>`__: BUG:
> sokalmichener appears to incorrectly apply weights
> * `#13697 <https://github.com/scipy/scipy/issues/13697>`__: BUG: stats:
> Spurious warning generated by arcsine.pdf at the...
> * `#13704 <https://github.com/scipy/scipy/issues/13704>`__: Make it
> possible to pass a rank cut-off value relatively to the...
> * `#13707 <https://github.com/scipy/scipy/issues/13707>`__: Kullback
> Leibler Divergence broadcasting no longer works
> * `#13740 <https://github.com/scipy/scipy/issues/13740>`__:
> Scipy.optimize x0 out of bounds when it is within bounds.
> * `#13744 <https://github.com/scipy/scipy/issues/13744>`__:
> scipy.interpolate.interp1d has inconsistent behavior for non-unique...
> * `#13754 <https://github.com/scipy/scipy/issues/13754>`__:
> optimize.minimize 'trust' methods and finite difference Hessian...
> * `#13762 <https://github.com/scipy/scipy/issues/13762>`__: MAINT, TST:
> aarch64 stats test failures showing up in wheels...
> * `#13769 <https://github.com/scipy/scipy/issues/13769>`__: probplot
> draws fit line even when fit=False
> * `#13791 <https://github.com/scipy/scipy/issues/13791>`__: BUG: stats:
> wrapcauchy.cdf does not broadcast the shape parameter...
> * `#13793 <https://github.com/scipy/scipy/issues/13793>`__: CI: CircleCI
> doc build failure
> * `#13840 <https://github.com/scipy/scipy/issues/13840>`__: manylinux1
> builds are failing because of C99 usage in \`special/_cosine.c\`
> * `#13850 <https://github.com/scipy/scipy/issues/13850>`__: CI: Homebrew
> is failing due to bintray
> * `#13875 <https://github.com/scipy/scipy/issues/13875>`__: BUG:
> chi2_contingency with Yates correction
> * `#13878 <https://github.com/scipy/scipy/issues/13878>`__: BUG:
> \`signal.get_window\` argument handling issue
> * `#13880 <https://github.com/scipy/scipy/issues/13880>`__: Remove all
> usages of numpy.compat
> * `#13896 <https://github.com/scipy/scipy/issues/13896>`__: Boschloo's
> Test for More Powerful Hypothesis Testing of 2x2 Contingency...
> * `#13923 <https://github.com/scipy/scipy/issues/13923>`__: Inverse of
> Log CDF of Normal Distribution
> * `#13933 <https://github.com/scipy/scipy/issues/13933>`__:
> \`signal.get_window\` does not support \`general_cosine\` and...
> * `#13950 <https://github.com/scipy/scipy/issues/13950>`__: DOC:
> scipy.spatial.KDTree.query
> * `#13969 <https://github.com/scipy/scipy/issues/13969>`__: N=4 must not
> exceed M=3
> * `#13970 <https://github.com/scipy/scipy/issues/13970>`__: Pearson's
> original paper on chi-square test could be referenced.
> * `#13984 <https://github.com/scipy/scipy/issues/13984>`__: Faster
> addition of sparse diagonal matrices
> * `#13988 <https://github.com/scipy/scipy/issues/13988>`__: An error
> occurred when using scipy.io.wavfile of scipy 1.6 version...
> * `#13997 <https://github.com/scipy/scipy/issues/13997>`__: BUG: sparse:
> Incorrect result from \`dia_matrix.diagonal()\`
> * `#14005 <https://github.com/scipy/scipy/issues/14005>`__: MAINT:
> optimize: \`curve_fit\` input error msg can be improved.
> * `#14038 <https://github.com/scipy/scipy/issues/14038>`__: MAINT: add
> type annotations for _sobol.pyx
> * `#14048 <https://github.com/scipy/scipy/issues/14048>`__: DOC: missing
> git submodule information
> * `#14055 <https://github.com/scipy/scipy/issues/14055>`__: linalg.solve:
> Unclear error when using assume_a='her' with real...
> * `#14093 <https://github.com/scipy/scipy/issues/14093>`__: DOC:
> Inconsistency in the definition of default values in the...
> * `#14158 <https://github.com/scipy/scipy/issues/14158>`__: TST, BUG:
> test_rbfinterp.py -- test_interpolation_misfit_1d fails...
> * `#14170 <https://github.com/scipy/scipy/issues/14170>`__: TST: signal
> submodule test_filtfilt_gust failing on 32-bit amd64...
> * `#14194 <https://github.com/scipy/scipy/issues/14194>`__: MAINT:
> download-wheels.py missing import
> * `#14199 <https://github.com/scipy/scipy/issues/14199>`__: Generated
> sources for biasedurn extension are broken in 1.7.0rc1
>
>
> **************************
> Pull requests for 1.7.0
> **************************
>
> * `#4824 <https://github.com/scipy/scipy/pull/4824>`__: Permutation Ttest
> (new PR)
> * `#4933 <https://github.com/scipy/scipy/pull/4933>`__: ENH: Update the
> Mann-Whitney-Wilcoxon test
> * `#7702 <https://github.com/scipy/scipy/pull/7702>`__: ENH: stats: Add
> Skewed Cauchy Distribution
> * `#8306 <https://github.com/scipy/scipy/pull/8306>`__: Optional Pythran
> support for scipy.signal.max_len_seq_inner
> * `#10170 <https://github.com/scipy/scipy/pull/10170>`__: MAINT: stats:
> Implement cdf and ppf as ufuncs for the cosine...
> * `#10454 <https://github.com/scipy/scipy/pull/10454>`__: ENH: Extend
> find_peaks_cwt to take numbers and iterables for...
> * `#10844 <https://github.com/scipy/scipy/pull/10844>`__: ENH: add
> stats.qmc module with quasi Monte Carlo functionality
> * `#11313 <https://github.com/scipy/scipy/pull/11313>`__: ENH: add
> Wright's generalized Bessel function
> * `#11352 <https://github.com/scipy/scipy/pull/11352>`__: ENH: stats: Add
> crosstab function.
> * `#11477 <https://github.com/scipy/scipy/pull/11477>`__: FIX: bounded
> parameter in cdfchn.f gives bad results
> * `#11695 <https://github.com/scipy/scipy/pull/11695>`__: ENH: stats: add
> method of moments to \`rv_continuous.fit\`
> * `#11911 <https://github.com/scipy/scipy/pull/11911>`__: ENH: Added
> bounds to boxcox and boxcox_normmax
> * `#12438 <https://github.com/scipy/scipy/pull/12438>`__: BUG: use
> ellipkm1 in elliptical filter design to prevent numerical...
> * `#12531 <https://github.com/scipy/scipy/pull/12531>`__: ENH: stats: add
> Page's L test
> * `#12603 <https://github.com/scipy/scipy/pull/12603>`__: ENH: stats: Add
> \`binomtest\` to replace \`binom_test\`.
> * `#12653 <https://github.com/scipy/scipy/pull/12653>`__: ENH: stats: add
> Somers' D test
> * `#12676 <https://github.com/scipy/scipy/pull/12676>`__: BUG: update
> median averaging in signal.csd
> * `#12760 <https://github.com/scipy/scipy/pull/12760>`__: BUG: special:
> erfinv(x<<1) loses precision
> * `#12801 <https://github.com/scipy/scipy/pull/12801>`__: ENH: Add
> single-sided p-values to remaining spearmanr and linregress
> * `#12873 <https://github.com/scipy/scipy/pull/12873>`__: ENH: Stats: add
> Alexander Govern Test
> * `#13008 <https://github.com/scipy/scipy/pull/13008>`__: ENH: Add
> 'alternative' to functions using normal CDF for p-value
> * `#13040 <https://github.com/scipy/scipy/pull/13040>`__: BUG: Allow
> RectSphereBivariateSpline to accept negative longitude
> * `#13048 <https://github.com/scipy/scipy/pull/13048>`__: ENH: stats: Add
> a function that computes the relative risk.
> * `#13067 <https://github.com/scipy/scipy/pull/13067>`__: ENH: Add
> weights parameter to stats.gmean
> * `#13084 <https://github.com/scipy/scipy/pull/13084>`__: ENH: fast
> Hankel transform
> * `#13104 <https://github.com/scipy/scipy/pull/13104>`__: MAINT: upgrade
> python version (drop python 3.6) for docker dev...
> * `#13153 <https://github.com/scipy/scipy/pull/13153>`__: ENH: added
> association measurements Pearsons Contingency Coefficient,...
> * `#13166 <https://github.com/scipy/scipy/pull/13166>`__: ENH: stats: Add
> nan_policy to zmap.
> * `#13175 <https://github.com/scipy/scipy/pull/13175>`__: MAINT: tests
> for tall cost matrices in \`linear_sum_assignment\`
> * `#13177 <https://github.com/scipy/scipy/pull/13177>`__: BUG: raise
> NotImplementedError in fourier_ellipsoid when ndim...
> * `#13184 <https://github.com/scipy/scipy/pull/13184>`__: BUG: stats: Fix
> min and max calculation of mstats.describe with...
> * `#13188 <https://github.com/scipy/scipy/pull/13188>`__: DOC: stats:
> make null and alternative hypotheses of kstest more...
> * `#13193 <https://github.com/scipy/scipy/pull/13193>`__: MAINT: stats:
> chisquare check sum of observed/expected frequencies
> * `#13197 <https://github.com/scipy/scipy/pull/13197>`__: ENH/MAINT:
> HiGHS upstream enhancements and bug fixes
> * `#13198 <https://github.com/scipy/scipy/pull/13198>`__: ENH: allow
> inference of output_shape from out array in affine_transform
> * `#13204 <https://github.com/scipy/scipy/pull/13204>`__: ENH: stats: add
> Zipfian (different from Zipf/zeta) distribution
> * `#13208 <https://github.com/scipy/scipy/pull/13208>`__: REL: set
> version to 1.7.0.dev0
> * `#13216 <https://github.com/scipy/scipy/pull/13216>`__: TST: stats:
> break up and mark slow tests
> * `#13224 <https://github.com/scipy/scipy/pull/13224>`__: Update docs for
> the weighted τ
> * `#13230 <https://github.com/scipy/scipy/pull/13230>`__: ENH: linalg:
> Add LAPACK wrapper for tgexc.
> * `#13232 <https://github.com/scipy/scipy/pull/13232>`__: MAINT: stats:
> raise error when input to kruskal has >1 dim
> * `#13233 <https://github.com/scipy/scipy/pull/13233>`__: DOC: stats: fix
> MGF of arcsine and entropy of t in tutorial
> * `#13236 <https://github.com/scipy/scipy/pull/13236>`__: MAINT:
> reorganize shared linear assignment tests
> * `#13237 <https://github.com/scipy/scipy/pull/13237>`__: BENCH: Refactor
> stats.Distribution to easily add new distributions
> * `#13238 <https://github.com/scipy/scipy/pull/13238>`__: BUG: stats: fix
> wrong shape output of burr and fisk distributions
> * `#13240 <https://github.com/scipy/scipy/pull/13240>`__: MAINT: add
> tests of trivial cost matrices for linear sum assignment
> * `#13252 <https://github.com/scipy/scipy/pull/13252>`__: DOC: optimize:
> add \`optimize.linear_sum_assignment\` tutorial.
> * `#13254 <https://github.com/scipy/scipy/pull/13254>`__: BUG: Fix
> precision issues for constant input in skew and kurtosis
> * `#13262 <https://github.com/scipy/scipy/pull/13262>`__: BUG:
> scipy.medfilt and .medfilt2d fixes
> * `#13263 <https://github.com/scipy/scipy/pull/13263>`__: ENH: add
> Cramer-von Mises test for two samples
> * `#13264 <https://github.com/scipy/scipy/pull/13264>`__: fix a minor
> typo in \`stats.anderson\` doc
> * `#13268 <https://github.com/scipy/scipy/pull/13268>`__: ENH: stats: Add
> implementation of _entropy for the t distr.
> * `#13273 <https://github.com/scipy/scipy/pull/13273>`__: DOC: stats: fix
> typo in Yeo-Johnson LL function documentation
> * `#13275 <https://github.com/scipy/scipy/pull/13275>`__: MAINT: stats:
> Correct a comment in the _fitstart method of gamma.
> * `#13283 <https://github.com/scipy/scipy/pull/13283>`__: BUG: stats: fix
> the cdf method of rv_discrete class
> * `#13286 <https://github.com/scipy/scipy/pull/13286>`__: DOC: stats:
> clairify rv_continuous/discrete.stats example
> * `#13288 <https://github.com/scipy/scipy/pull/13288>`__: DOC: stats:
> discrete distribution shape parameter restrictions
> * `#13289 <https://github.com/scipy/scipy/pull/13289>`__: MAINT: fix a
> build warning in sigtoolsmodule.c
> * `#13290 <https://github.com/scipy/scipy/pull/13290>`__: DOC: Expand the
> discussion of the nan_policy API.
> * `#13291 <https://github.com/scipy/scipy/pull/13291>`__: MAINT: signal,
> stats: Use keepdims where appropriate.
> * `#13292 <https://github.com/scipy/scipy/pull/13292>`__: DOC: stats:
> note another common parameterization of nbinom
> * `#13293 <https://github.com/scipy/scipy/pull/13293>`__: DOC: Change
> broken link for default values to archived link
> * `#13295 <https://github.com/scipy/scipy/pull/13295>`__: BUG: stats: fix
> the support method to return correct bounds
> * `#13296 <https://github.com/scipy/scipy/pull/13296>`__: DOC: stats: Fix
> latex markup in the kstwo docstring.
> * `#13297 <https://github.com/scipy/scipy/pull/13297>`__: TST: mark
> kde.logpdf overflow test as xslow
> * `#13298 <https://github.com/scipy/scipy/pull/13298>`__: Generalized
> Hyperbolic Distribution
> * `#13301 <https://github.com/scipy/scipy/pull/13301>`__: DOC: cluster:
> Add cluster number note to the docstring of cluster.vq.kmeans
> * `#13302 <https://github.com/scipy/scipy/pull/13302>`__: BUG: Fix
> ndimage.morphology.distance_transform\_\* argument handling
> * `#13303 <https://github.com/scipy/scipy/pull/13303>`__: CI: prevent
> Codecov giving false CI failures and wrong PR annotations
> * `#13313 <https://github.com/scipy/scipy/pull/13313>`__: ENH: static
> typing for qhull
> * `#13316 <https://github.com/scipy/scipy/pull/13316>`__: Pythran
> implementation of scipy.signal._spectral
> * `#13317 <https://github.com/scipy/scipy/pull/13317>`__: DOC: forward
> port 1.6.0 relnotes
> * `#13319 <https://github.com/scipy/scipy/pull/13319>`__: ENH: stats: add
> fast numerical inversion of distribution CDF
> * `#13320 <https://github.com/scipy/scipy/pull/13320>`__: ENH: x0 for
> differential_evolution
> * `#13324 <https://github.com/scipy/scipy/pull/13324>`__: DOC correct
> linprog highs versionadded to 1.6
> * `#13326 <https://github.com/scipy/scipy/pull/13326>`__: MAINT: update
> numpydoc to v1.1.0
> * `#13327 <https://github.com/scipy/scipy/pull/13327>`__: DOC:
> interpolate: improved docstring examples of \`interpolate.interpn()\`...
> * `#13328 <https://github.com/scipy/scipy/pull/13328>`__: ENH: Boost
> stats distributions
> * `#13330 <https://github.com/scipy/scipy/pull/13330>`__: ENH: stats: add
> noncentral hypergeometric distributions (Fisher's...
> * `#13331 <https://github.com/scipy/scipy/pull/13331>`__: MAINT/ENH:
> resolve mypy warnings/errors
> * `#13332 <https://github.com/scipy/scipy/pull/13332>`__: DOC:
> interpolate: improved docstring of \`interpolate.interp2d\`...
> * `#13333 <https://github.com/scipy/scipy/pull/13333>`__: ENH: stats:
> Some more _sf and _isf implementations.
> * `#13334 <https://github.com/scipy/scipy/pull/13334>`__: MAINT: stats:
> Clean up a few defunct comments in _continuous_distns.py
> * `#13336 <https://github.com/scipy/scipy/pull/13336>`__: Pythran version
> of scipy.optimize._group_columns
> * `#13337 <https://github.com/scipy/scipy/pull/13337>`__: DOC|ENH: type
> hinting in scipy.integrate.simpson
> * `#13346 <https://github.com/scipy/scipy/pull/13346>`__: ENH: stats: add
> 'ddof' parameter to the 'variation' function
> * `#13355 <https://github.com/scipy/scipy/pull/13355>`__: ENH: stats:
> implement _logpdf, _sf and _isf for loggamma.
> * `#13360 <https://github.com/scipy/scipy/pull/13360>`__: ENH|DOC: fix
> docstring and input validation in interpolate.RectSphereBivariateSpline
> * `#13366 <https://github.com/scipy/scipy/pull/13366>`__: BUG: stats:
> Don't raise ZeroDivisionError in _unequal_var_ttest_denom
> * `#13370 <https://github.com/scipy/scipy/pull/13370>`__: ENH: fix ARGUS
> distribution for small parameters in stats
> * `#13371 <https://github.com/scipy/scipy/pull/13371>`__: ENH: stats: add
> \`bootstrap\` for estimating confidence interval...
> * `#13373 <https://github.com/scipy/scipy/pull/13373>`__: BUG: io/matlab:
> preserve dimensions of empty >=2D arrays
> * `#13374 <https://github.com/scipy/scipy/pull/13374>`__: ENH: stats: add
> skewed Cauchy distribution
> * `#13379 <https://github.com/scipy/scipy/pull/13379>`__: BUG: sparse:
> fix verbosity in sparse lsqr
> * `#13383 <https://github.com/scipy/scipy/pull/13383>`__: TST: stats:
> mark many dimension permutation t-test slow
> * `#13384 <https://github.com/scipy/scipy/pull/13384>`__: MAINT: Make
> keywords array static
> * `#13388 <https://github.com/scipy/scipy/pull/13388>`__: PERF: Avoid
> duplicate mean calculations in skew and kurtosis
> * `#13389 <https://github.com/scipy/scipy/pull/13389>`__: DOC: Fix
> deprecated directive syntax
> * `#13390 <https://github.com/scipy/scipy/pull/13390>`__: DOC: Correct
> line length for Parameter Section underline
> * `#13393 <https://github.com/scipy/scipy/pull/13393>`__: MAINT: stats:
> allow wishart dim - 1 < df < dim
> * `#13395 <https://github.com/scipy/scipy/pull/13395>`__: DOC: fix typo
> in setup.py warning message
> * `#13396 <https://github.com/scipy/scipy/pull/13396>`__: BUG: Fix MLE
> for Nakagami \`nakagami_gen.fit\`
> * `#13397 <https://github.com/scipy/scipy/pull/13397>`__: MAINT:linalg:
> Fix tgsen family wrapper and ordqz
> * `#13406 <https://github.com/scipy/scipy/pull/13406>`__: TST: add error
> handling tests for sparse BSR ctor
> * `#13413 <https://github.com/scipy/scipy/pull/13413>`__: DOC:
> ultra-quickstart guide
> * `#13418 <https://github.com/scipy/scipy/pull/13418>`__: BUG: Fix moment
> returning inconsistent types and shapes
> * `#13423 <https://github.com/scipy/scipy/pull/13423>`__: DOC: Update
> example for leaf_label_func/dendrogram
> * `#13431 <https://github.com/scipy/scipy/pull/13431>`__: ENH: stats:
> override _rvs for nhypergeom
> * `#13432 <https://github.com/scipy/scipy/pull/13432>`__: Add indicator
> in NDInterpolator docstring that N must be > 1
> * `#13434 <https://github.com/scipy/scipy/pull/13434>`__: DOC: stats:
> note relationship between scaled-inv-chi2 and invgamma
> * `#13436 <https://github.com/scipy/scipy/pull/13436>`__: ENH:
> interpolate: add input validation to check input x-y is...
> * `#13441 <https://github.com/scipy/scipy/pull/13441>`__: ENH: add
> functionality \`barnard_exact\` test to scipy.stats.
> * `#13443 <https://github.com/scipy/scipy/pull/13443>`__: MAINT: stats:
> Updates for skewcauchy
> * `#13444 <https://github.com/scipy/scipy/pull/13444>`__: DOC: clarify
> range of \`a\` parameter fpr johnsonsu/johnsonsb
> * `#13445 <https://github.com/scipy/scipy/pull/13445>`__: DOC: fix
> runtests guidelines.
> * `#13446 <https://github.com/scipy/scipy/pull/13446>`__: MAINT: stats:
> Add _fitstart method to wrapcauchy.
> * `#13447 <https://github.com/scipy/scipy/pull/13447>`__: DEV: Update
> development Docker image
> * `#13448 <https://github.com/scipy/scipy/pull/13448>`__: ENH: Add
> annotations for \`scipy.spatial.distance\`
> * `#13451 <https://github.com/scipy/scipy/pull/13451>`__: DOC: minor
> formatting.
> * `#13458 <https://github.com/scipy/scipy/pull/13458>`__: DOC: indent see
> also.
> * `#13460 <https://github.com/scipy/scipy/pull/13460>`__: DOC: stats: Fix
> link to Cramer-von Mises wikipedia article.
> * `#13461 <https://github.com/scipy/scipy/pull/13461>`__: DOC: reorganize
> scipy.stats overview docs page
> * `#13463 <https://github.com/scipy/scipy/pull/13463>`__: DOC: misc
> formatting fixes
> * `#13466 <https://github.com/scipy/scipy/pull/13466>`__: DOC: Typo in
> see also s/SmoothUni/SmoothBi/g
> * `#13467 <https://github.com/scipy/scipy/pull/13467>`__: DOC: optimize:
> add description about \`tol\` argument for \`minimize\`.
> * `#13469 <https://github.com/scipy/scipy/pull/13469>`__: MAINT: Refactor
> optimization methods to use scipy.stats.qmc
> * `#13477 <https://github.com/scipy/scipy/pull/13477>`__: CI: pin numpy
> to 1.19.5 for the three macOS CI jobs
> * `#13478 <https://github.com/scipy/scipy/pull/13478>`__: DOC: fix typos
> where double :: for Sphinx directives were missing
> * `#13481 <https://github.com/scipy/scipy/pull/13481>`__: CI: pin numpy
> to 1.19.5 in the 4 parallel Windows builds on Azure
> * `#13482 <https://github.com/scipy/scipy/pull/13482>`__: CI: use numpy
> 1.20.0 again in macOS CI
> * `#13483 <https://github.com/scipy/scipy/pull/13483>`__: DOC: Multiple
> documentation syntax fixes.
> * `#13484 <https://github.com/scipy/scipy/pull/13484>`__: Move some
> pythran config from CI to setup
> * `#13487 <https://github.com/scipy/scipy/pull/13487>`__: DOC: add a
> tutorial about scipy.stats.qmc
> * `#13492 <https://github.com/scipy/scipy/pull/13492>`__: ENH: GH actions
> should not run on forks
> * `#13493 <https://github.com/scipy/scipy/pull/13493>`__: DEV: Enable
> gitpod for SciPy
> * `#13495 <https://github.com/scipy/scipy/pull/13495>`__: DOC One-word
> typo in the documentation of optimize.linprog_simplex
> * `#13499 <https://github.com/scipy/scipy/pull/13499>`__: DOC: describe
> LSAP implementation
> * `#13502 <https://github.com/scipy/scipy/pull/13502>`__: BUG: Bounds
> created with lists weren't working for Powell
> * `#13507 <https://github.com/scipy/scipy/pull/13507>`__: MAINT, TST:
> stats: centralize invalid parameters list for all...
> * `#13510 <https://github.com/scipy/scipy/pull/13510>`__: DOC: stats: fix
> small doc errors in 'multivariate_hypergeom'
> * `#13513 <https://github.com/scipy/scipy/pull/13513>`__: DOC: Added math
> notation in examples in ltisys.py
> * `#13514 <https://github.com/scipy/scipy/pull/13514>`__: ENH: simplify
> low_0_bit function for Sobol
> * `#13515 <https://github.com/scipy/scipy/pull/13515>`__: ENH: optimize:
> add bound constraint support for nelder-mead solver
> * `#13516 <https://github.com/scipy/scipy/pull/13516>`__: DOC: reduce
> LaTeX usage for johnsonb docstring
> * `#13519 <https://github.com/scipy/scipy/pull/13519>`__: BLD: remove
> build_sphinx support from setup.py
> * `#13527 <https://github.com/scipy/scipy/pull/13527>`__: TST: stats:
> xfail ttest_ind_randperm_alternative2 on 32 bit
> * `#13530 <https://github.com/scipy/scipy/pull/13530>`__: DOC: correct
> comparisons between median filter functions
> * `#13532 <https://github.com/scipy/scipy/pull/13532>`__: ENH: release
> the GIL inside medfilt2d
> * `#13538 <https://github.com/scipy/scipy/pull/13538>`__: DOC: optimize:
> fix minor doc error in 'fmin_powell' (#13511)
> * `#13546 <https://github.com/scipy/scipy/pull/13546>`__: DOC: fix list
> of "mode" options for ndimage
> * `#13549 <https://github.com/scipy/scipy/pull/13549>`__: ENH: stats: add
> 'alternative' keyword to some normality tests.
> * `#13551 <https://github.com/scipy/scipy/pull/13551>`__: MAINT: add git
> to docker env
> * `#13552 <https://github.com/scipy/scipy/pull/13552>`__: MAINT: stats:
> remove float_power shim
> * `#13553 <https://github.com/scipy/scipy/pull/13553>`__: DOC: use
> support rather than a/b in stats tutorial
> * `#13560 <https://github.com/scipy/scipy/pull/13560>`__: MAINT:
> optimize: improve linprog error message for sparse input...
> * `#13562 <https://github.com/scipy/scipy/pull/13562>`__: MAINT:
> optimize: using np.isclose instead of _within_tolerance.
> * `#13566 <https://github.com/scipy/scipy/pull/13566>`__: ENH: Speed up
> hdquantiles_sd()
> * `#13569 <https://github.com/scipy/scipy/pull/13569>`__: BENCH:
> optimize: benchmark only HiGHS methods; add bigger linprog...
> * `#13574 <https://github.com/scipy/scipy/pull/13574>`__: DOC: In
> description of cluster.hierarchy.dendrogram 'level' parameter,...
> * `#13576 <https://github.com/scipy/scipy/pull/13576>`__: ENH: improve
> discrepancy performance
> * `#13579 <https://github.com/scipy/scipy/pull/13579>`__: TST: Add
> pybind11 to tox environments
> * `#13583 <https://github.com/scipy/scipy/pull/13583>`__: BUG: Fix
> Dockerfile apt-get installs
> * `#13588 <https://github.com/scipy/scipy/pull/13588>`__: MAINT: forward
> port 1.6.1 relnotes.
> * `#13593 <https://github.com/scipy/scipy/pull/13593>`__: BUG: stats:
> preserve sample dtype for bin edges
> * `#13595 <https://github.com/scipy/scipy/pull/13595>`__: ENH:
> interpolate: add RBFInterpolator
> * `#13596 <https://github.com/scipy/scipy/pull/13596>`__: DOC: Fix
> indentation in new_stats_distribution.rst.inc
> * `#13601 <https://github.com/scipy/scipy/pull/13601>`__: Add dpss for
> get_window function
> * `#13604 <https://github.com/scipy/scipy/pull/13604>`__: DOC: Correct
> dual annealing visiting param range.
> * `#13605 <https://github.com/scipy/scipy/pull/13605>`__: Add Codecov
> badge to README
> * `#13607 <https://github.com/scipy/scipy/pull/13607>`__: MAINT: stats:
> fix crystalball entropy
> * `#13611 <https://github.com/scipy/scipy/pull/13611>`__: Better argument
> preparation for distributions in stats package.
> * `#13612 <https://github.com/scipy/scipy/pull/13612>`__: Add docker run
> command for Windows cmd
> * `#13613 <https://github.com/scipy/scipy/pull/13613>`__: MAINT, CI:
> mypy: fix typing errors + add mypy to CI
> * `#13616 <https://github.com/scipy/scipy/pull/13616>`__: FIX: Return
> correct output for invgauss.cdf when mu is very small
> * `#13617 <https://github.com/scipy/scipy/pull/13617>`__: MAINT: accept
> numbers and iterables for width in find_peaks_cwt
> * `#13620 <https://github.com/scipy/scipy/pull/13620>`__: CI: disable the
> mypy CI job (partial revert of gh-13613)
> * `#13621 <https://github.com/scipy/scipy/pull/13621>`__: DOC: signal:
> use array_like for input types
> * `#13622 <https://github.com/scipy/scipy/pull/13622>`__: MAINT: clean up
> some unused files, make \`mypy scipy\` pass
> * `#13623 <https://github.com/scipy/scipy/pull/13623>`__: CI: enable Mypy
> CI job again
> * `#13624 <https://github.com/scipy/scipy/pull/13624>`__: TST: test more
> values for \`visiting_param\` input to \`dual_annealing\`
> * `#13625 <https://github.com/scipy/scipy/pull/13625>`__: Rename
> integrate.simps to integrate.simpsons in documentation...
> * `#13631 <https://github.com/scipy/scipy/pull/13631>`__: ENH: add a
> \`stats.differential_entropy\` function
> * `#13633 <https://github.com/scipy/scipy/pull/13633>`__: BUG:
> stats.binned_statistic_2d user function expecting arrays
> * `#13641 <https://github.com/scipy/scipy/pull/13641>`__: ENH: Added
> degrees parameter to rotvec
> * `#13645 <https://github.com/scipy/scipy/pull/13645>`__: MAINT: mypy:
> don't install numpy-stubs
> * `#13649 <https://github.com/scipy/scipy/pull/13649>`__: BUG: sparse:
> csc_matrix.argmax() integer overflow
> * `#13650 <https://github.com/scipy/scipy/pull/13650>`__: ENH: stats: add
> 'alternative' parameter to ansari
> * `#13652 <https://github.com/scipy/scipy/pull/13652>`__: DOC: fix
> eigvalsh documentation (#13651)
> * `#13654 <https://github.com/scipy/scipy/pull/13654>`__: BUG: Fix
> LatinHypercubes
> * `#13656 <https://github.com/scipy/scipy/pull/13656>`__: DOC: Fix PCHIP
> references
> * `#13657 <https://github.com/scipy/scipy/pull/13657>`__: TST: remove
> IPython warning in debug session
> * `#13658 <https://github.com/scipy/scipy/pull/13658>`__: Remove spurious
> quotes in docstring
> * `#13661 <https://github.com/scipy/scipy/pull/13661>`__: ENH: stats:
> improve efficiency of / fix bug in exact permutation...
> * `#13667 <https://github.com/scipy/scipy/pull/13667>`__: MAINT: Make
> latest Docker image default
> * `#13668 <https://github.com/scipy/scipy/pull/13668>`__: MAINT: add
> .theia/ to .gitignore
> * `#13669 <https://github.com/scipy/scipy/pull/13669>`__: BLD: change
> SCIPY_USE_PYTHRAN default to \`1\`
> * `#13676 <https://github.com/scipy/scipy/pull/13676>`__: ENH Small
> improvements for LSQR with damp
> * `#13678 <https://github.com/scipy/scipy/pull/13678>`__: MAINT: add
> Pythran-generated files to .gitignore
> * `#13679 <https://github.com/scipy/scipy/pull/13679>`__: MAINT: move the
> \`conda develop .\` in the Gitpod config
> * `#13680 <https://github.com/scipy/scipy/pull/13680>`__: DOC: Add
> cKDTree note comparing it with KDTree
> * `#13681 <https://github.com/scipy/scipy/pull/13681>`__: DOC: build doc
> updates on Pythran, compiled code, and cleanups
> * `#13683 <https://github.com/scipy/scipy/pull/13683>`__: BUG: mmwrite
> correctly serializes non skew-symmetric arrays
> * `#13684 <https://github.com/scipy/scipy/pull/13684>`__: FIX: fix
> numerical overflow in gamma.isf method
> * `#13685 <https://github.com/scipy/scipy/pull/13685>`__: BUG: fix cosine
> distance range to 0-2
> * `#13694 <https://github.com/scipy/scipy/pull/13694>`__: MAINT: fix
> warning emitted when NumPy version is incorrect
> * `#13696 <https://github.com/scipy/scipy/pull/13696>`__: ENH: support
> trimming in ttest_ind
> * `#13698 <https://github.com/scipy/scipy/pull/13698>`__: BUG: stats: Fix
> spurious warnings generated by arcsine.pdf
> * `#13701 <https://github.com/scipy/scipy/pull/13701>`__: DEV:
> scipy.interpolate b-splines (periodic case)
> * `#13702 <https://github.com/scipy/scipy/pull/13702>`__: DEP: Clean up
> spent deprecations in spatial.distance
> * `#13703 <https://github.com/scipy/scipy/pull/13703>`__: MAINT: fix
> issues found by static code analysis
> * `#13706 <https://github.com/scipy/scipy/pull/13706>`__: ENH: stats:
> Implement sf and isf for the laplace distribution.
> * `#13711 <https://github.com/scipy/scipy/pull/13711>`__: MAINT: stats:
> fix broadcasting for scipy.stats.entropy
> * `#13712 <https://github.com/scipy/scipy/pull/13712>`__: BUG: stats:
> Override _fitstart for the invweibull distribution.
> * `#13713 <https://github.com/scipy/scipy/pull/13713>`__: DOC: update
> toolchain.rst to reflect windows universal C runtime
> * `#13714 <https://github.com/scipy/scipy/pull/13714>`__: MAINT: stats:
> Remove an unused list from test_continuous_basic.py.
> * `#13715 <https://github.com/scipy/scipy/pull/13715>`__: MAINT: stats:
> No need to suppress frechet deprecation warnings.
> * `#13716 <https://github.com/scipy/scipy/pull/13716>`__: MAINT: use
> super() as described by PEP 3135
> * `#13718 <https://github.com/scipy/scipy/pull/13718>`__: MAINT:
> new-style class, removing inheritance to object
> * `#13721 <https://github.com/scipy/scipy/pull/13721>`__: MAINT: add a
> type-ignore for mpmath (#13721)
> * `#13723 <https://github.com/scipy/scipy/pull/13723>`__: MAINT: mypy:
> ignore mpmath imports in mypy.ini
> * `#13724 <https://github.com/scipy/scipy/pull/13724>`__: DOC: pydata
> sphinx theme
> * `#13725 <https://github.com/scipy/scipy/pull/13725>`__: BENCH: add
> benchmark for Kendalltau
> * `#13727 <https://github.com/scipy/scipy/pull/13727>`__: CI: simplify
> Pythran configuration setup for Azure
> * `#13731 <https://github.com/scipy/scipy/pull/13731>`__: MAINT: stats:
> Some flake8-driven clean up.
> * `#13732 <https://github.com/scipy/scipy/pull/13732>`__: ENH: stats:
> Studentized Range Distribution
> * `#13735 <https://github.com/scipy/scipy/pull/13735>`__: DOC: correct
> Voronoi docstring
> * `#13738 <https://github.com/scipy/scipy/pull/13738>`__: DOC: add
> example to wright_bessel
> * `#13739 <https://github.com/scipy/scipy/pull/13739>`__: ENH: stats:
> Implement _sf and _isf for the chi distribution.
> * `#13741 <https://github.com/scipy/scipy/pull/13741>`__: MAINT: prevent
> overwriting of x in minimize
> * `#13747 <https://github.com/scipy/scipy/pull/13747>`__: DOC: Add note
> for interp1d for non-unique x-values
> * `#13749 <https://github.com/scipy/scipy/pull/13749>`__: MAINT: forward
> port 1.6.2 relnotes
> * `#13759 <https://github.com/scipy/scipy/pull/13759>`__: MAINT: simpson
> small performance speedups
> * `#13765 <https://github.com/scipy/scipy/pull/13765>`__: FIX: npymath
> missing causing npy_log1p to be unknown
> * `#13768 <https://github.com/scipy/scipy/pull/13768>`__: BENCH: Add
> missing pythran dependency
> * `#13770 <https://github.com/scipy/scipy/pull/13770>`__: ENH:
> stats.contingency: Add the sparse option to crosstab.
> * `#13774 <https://github.com/scipy/scipy/pull/13774>`__: DEP: Deprecate
> squeezing input vectors in spatial.distance
> * `#13775 <https://github.com/scipy/scipy/pull/13775>`__: Enable trust
> region methods to use a finite difference Hessian...
> * `#13777 <https://github.com/scipy/scipy/pull/13777>`__: DOC: Fix
> Ubuntu/Debian installation instructions
> * `#13778 <https://github.com/scipy/scipy/pull/13778>`__: DOC: remove
> references to RandomState
> * `#13782 <https://github.com/scipy/scipy/pull/13782>`__: MAINT: LBFGSB
> err msg on MAXLS changed closes #11718
> * `#13785 <https://github.com/scipy/scipy/pull/13785>`__: BENCH: Add
> benchmark for cdist/pdist with weights
> * `#13786 <https://github.com/scipy/scipy/pull/13786>`__: MAINT: Prepare
> cdist/pdist for C++ rework
> * `#13787 <https://github.com/scipy/scipy/pull/13787>`__: MAINT: stats:
> move entropy and differential_entropy functions...
> * `#13790 <https://github.com/scipy/scipy/pull/13790>`__: DOC: Add some
> dependencies for Dockerfile doc of scipy development.
> * `#13792 <https://github.com/scipy/scipy/pull/13792>`__: BUG: stats: Fix
> broadcasting in wrapcauchy.cdf
> * `#13795 <https://github.com/scipy/scipy/pull/13795>`__: MAINT: stats:
> add hypotests to __all__ in init.py, not stats.py
> * `#13797 <https://github.com/scipy/scipy/pull/13797>`__: MAINT: stats:
> probplot: don't plot least-squares fit line unless...
> * `#13798 <https://github.com/scipy/scipy/pull/13798>`__: MAINT: fix
> incorrect code comment in \`hierarchy.to_tree\`
> * `#13802 <https://github.com/scipy/scipy/pull/13802>`__: DEV: add
> environment.yml file for development with conda/mamba
> * `#13803 <https://github.com/scipy/scipy/pull/13803>`__: DOC: fix doc
> build warning about arxiv role already being registered
> * `#13804 <https://github.com/scipy/scipy/pull/13804>`__: DOC+MAINT:
> optimize: lb and ub in the Bounds constructor are...
> * `#13807 <https://github.com/scipy/scipy/pull/13807>`__: MAINT: Dont use
> parallel Sphinx
> * `#13808 <https://github.com/scipy/scipy/pull/13808>`__: MAINT:
> cluster.to_tree: more idiomatic looping over rows of matrix...
> * `#13810 <https://github.com/scipy/scipy/pull/13810>`__: MAINT: add a
> CODEOWNERS file
> * `#13811 <https://github.com/scipy/scipy/pull/13811>`__: MAINT: Add ci
> skip to azp
> * `#13814 <https://github.com/scipy/scipy/pull/13814>`__: ENH/DOC: pydata
> sphinx theme polishing
> * `#13817 <https://github.com/scipy/scipy/pull/13817>`__: DOC: Misc
> parameter typo and casing in scipy/linalg/_decomp_ldl.py
> * `#13818 <https://github.com/scipy/scipy/pull/13818>`__: MAINT: stats:
> keep \`entropy\` importable from \`scipy.stats.distributions\`
> * `#13820 <https://github.com/scipy/scipy/pull/13820>`__: BUG: update
> _kendall_p_exact ValueError to f-string
> * `#13831 <https://github.com/scipy/scipy/pull/13831>`__: FIX:DEP: Allow
> better tolerance control for pinv and pinvh and...
> * `#13832 <https://github.com/scipy/scipy/pull/13832>`__: BUG: stats: Fix
> rvs for levy_stable when alpha=1
> * `#13833 <https://github.com/scipy/scipy/pull/13833>`__: MAINT: Add
> inline type hintings for stats.qmc
> * `#13836 <https://github.com/scipy/scipy/pull/13836>`__: MAINT: Fix a
> couple compiler warnings.
> * `#13838 <https://github.com/scipy/scipy/pull/13838>`__: TST: relax test
> tolerances for BinomTest
> * `#13841 <https://github.com/scipy/scipy/pull/13841>`__: BLD: add
> \`-std=c99\` flag to scipy.special extensions using...
> * `#13845 <https://github.com/scipy/scipy/pull/13845>`__: ENH: stats: add
> \`method\` parameter to \`differential_entropy\`...
> * `#13847 <https://github.com/scipy/scipy/pull/13847>`__: TST: skip on
> optimize failure on macOS, mark one as xfail
> * `#13848 <https://github.com/scipy/scipy/pull/13848>`__: DOC: optimize:
> move Nelder Mead doc from Unconstrained minimization...
> * `#13849 <https://github.com/scipy/scipy/pull/13849>`__: DOC: Roadmap
> update
> * `#13852 <https://github.com/scipy/scipy/pull/13852>`__: CI: fix
> temporary wrong brew version from GitHub
> * `#13854 <https://github.com/scipy/scipy/pull/13854>`__: ENH: Update
> Scipy Gitpod
> * `#13859 <https://github.com/scipy/scipy/pull/13859>`__: TST: fix
> ultra-slow ttest permutations test
> * `#13860 <https://github.com/scipy/scipy/pull/13860>`__: MAINT: clean up
> LSAP error checking
> * `#13863 <https://github.com/scipy/scipy/pull/13863>`__: DOC: remove
> seed in examples
> * `#13865 <https://github.com/scipy/scipy/pull/13865>`__: DOC: optimize:
> The bounds param of differential_evolution is...
> * `#13866 <https://github.com/scipy/scipy/pull/13866>`__: MAINT: special:
> Remove an unused variable from _poly_approx in...
> * `#13867 <https://github.com/scipy/scipy/pull/13867>`__: DOC: stats:
> Explain meaning of alternatives for fisher_exact.
> * `#13868 <https://github.com/scipy/scipy/pull/13868>`__: CI: fix the
> failing job on linux.
> * `#13870 <https://github.com/scipy/scipy/pull/13870>`__: MAINT: move
> LSAP rectangular matrix handling into solver code
> * `#13871 <https://github.com/scipy/scipy/pull/13871>`__: DOC: Add Gitpod
> documentation
> * `#13876 <https://github.com/scipy/scipy/pull/13876>`__: Workflow : Add
> nightly release of NumPy in linux workflows
> * `#13877 <https://github.com/scipy/scipy/pull/13877>`__: DOC: Conform to
> numpydoc + uniformity.
> * `#13879 <https://github.com/scipy/scipy/pull/13879>`__: BUG: signal:
> fix get_window argument handling and add tests.
> * `#13881 <https://github.com/scipy/scipy/pull/13881>`__: CI: remove
> .travis.yml, remove codecov from CircleCI
> * `#13882 <https://github.com/scipy/scipy/pull/13882>`__: BLD: ensure
> incrementing dev version strings
> * `#13886 <https://github.com/scipy/scipy/pull/13886>`__: TST: optimize:
> skip test_network_flow_limited_capacity w/ UMFPACK...
> * `#13888 <https://github.com/scipy/scipy/pull/13888>`__: MAINT: Fix
> issues involving elif conditions
> * `#13891 <https://github.com/scipy/scipy/pull/13891>`__: Rename
> InivariateSpline to UnivariateSpline
> * `#13893 <https://github.com/scipy/scipy/pull/13893>`__: ENH: linprog
> HiGHS marginals/sensitivy analysis
> * `#13894 <https://github.com/scipy/scipy/pull/13894>`__: DOC: Add blank
> line before \`Return\` section.
> * `#13897 <https://github.com/scipy/scipy/pull/13897>`__: DOC: BLD: fix
> doc build version check, and improve build time
> * `#13903 <https://github.com/scipy/scipy/pull/13903>`__: MAINT: Gitpod
> fixes
> * `#13907 <https://github.com/scipy/scipy/pull/13907>`__: ENH: Rewrite
> minkowski metric in C++ with pybind11
> * `#13909 <https://github.com/scipy/scipy/pull/13909>`__: Revert
> "Workflow : Add nightly release of NumPy in linux workflows"
> * `#13910 <https://github.com/scipy/scipy/pull/13910>`__: DOC: update
> Readme
> * `#13911 <https://github.com/scipy/scipy/pull/13911>`__: MAINT: use dict
> built-in rather than OrderedDict
> * `#13920 <https://github.com/scipy/scipy/pull/13920>`__: BUG: Reactivate
> conda environment in init
> * `#13925 <https://github.com/scipy/scipy/pull/13925>`__: BUG: stats:
> magnitude of Yates' correction <= abs(observed-expected)...
> * `#13926 <https://github.com/scipy/scipy/pull/13926>`__: DOC: correct
> return type in disjoint_set.subsets docstring
> * `#13927 <https://github.com/scipy/scipy/pull/13927>`__: DOC/MAINT: Add
> copyright notice to qmc.primes_from_2_to
> * `#13928 <https://github.com/scipy/scipy/pull/13928>`__: BUG: DOC:
> signal: fix need argument config and add missing doc...
> * `#13929 <https://github.com/scipy/scipy/pull/13929>`__: REL: add PEP
> 621 (project metadata in pyproject.toml) support
> * `#13931 <https://github.com/scipy/scipy/pull/13931>`__: MAINT: special:
> get rid of _logit.c.src
> * `#13934 <https://github.com/scipy/scipy/pull/13934>`__: ENH: signal:
> make \`get_window\` supports \`general_cosine\`...
> * `#13940 <https://github.com/scipy/scipy/pull/13940>`__: MAINT:
> QMCEngine d input validation
> * `#13941 <https://github.com/scipy/scipy/pull/13941>`__: MAINT: forward
> port 1.6.3 relnotes
> * `#13944 <https://github.com/scipy/scipy/pull/13944>`__: BUG: spatial:
> fix weight handling of \`distance.sokalmichener\`.
> * `#13947 <https://github.com/scipy/scipy/pull/13947>`__: MAINT: Remove
> duplicate calculations in sokalmichener
> * `#13949 <https://github.com/scipy/scipy/pull/13949>`__: DOC: minor
> grammar fixes in minimize and KDTree.query
> * `#13951 <https://github.com/scipy/scipy/pull/13951>`__: ENH: Add
> Boschloo exact test to stats
> * `#13956 <https://github.com/scipy/scipy/pull/13956>`__: ENH: spatial:
> add \`axis\` and \`keepdims\` optional argument...
> * `#13963 <https://github.com/scipy/scipy/pull/13963>`__: MAINT: stats:
> Fix unused imports and a few other issues related...
> * `#13971 <https://github.com/scipy/scipy/pull/13971>`__: DOC: Add Karl
> Pearson's reference to chi-square test
> * `#13972 <https://github.com/scipy/scipy/pull/13972>`__: ENH: cluster:
> add an optional argument \`seed\` for \`kmeans\`...
> * `#13973 <https://github.com/scipy/scipy/pull/13973>`__: BLD: fix build
> warnings for causal/anticausal pointers in ndimage
> * `#13975 <https://github.com/scipy/scipy/pull/13975>`__: ENH: set empty
> array norm to zero.
> * `#13977 <https://github.com/scipy/scipy/pull/13977>`__: MAINT: signal:
> replace distutils templating with tempita
> * `#13978 <https://github.com/scipy/scipy/pull/13978>`__: MAINT: improve
> validations and keyword only arguments for some...
> * `#13979 <https://github.com/scipy/scipy/pull/13979>`__: ENH: Add
> Inverse of Log CDF of Normal Distribution
> * `#13983 <https://github.com/scipy/scipy/pull/13983>`__: Fixing
> \`ndimage.watershed_ift\` tutorial's documentation
> * `#13987 <https://github.com/scipy/scipy/pull/13987>`__: DOC: Adding
> examples to docstrings in morphology: white_tophat,...
> * `#13989 <https://github.com/scipy/scipy/pull/13989>`__: DOC:
> interpolate: improve examples of \`RegularGridInterpolator\`...
> * `#13990 <https://github.com/scipy/scipy/pull/13990>`__: MAINT, DOC:
> optimize: Make the input validation explanation clear...
> * `#13992 <https://github.com/scipy/scipy/pull/13992>`__: Workflow : Add
> nightly release of NumPy in linux workflows
> * `#13995 <https://github.com/scipy/scipy/pull/13995>`__: Doc: Continuous
> integration information
> * `#14000 <https://github.com/scipy/scipy/pull/14000>`__: BUG: sparse:
> Fix DIA.diagonal bug and add a regression test
> * `#14004 <https://github.com/scipy/scipy/pull/14004>`__: ENH: Fast
> addition dia matrix
> * `#14006 <https://github.com/scipy/scipy/pull/14006>`__: MAINT:
> optimize: add validation to check func parameter number...
> * `#14008 <https://github.com/scipy/scipy/pull/14008>`__: BUG: Raise
> exception for inconsistent WAV header
> * `#14009 <https://github.com/scipy/scipy/pull/14009>`__: DEP: Remove
> usage of numpy.compat
> * `#14010 <https://github.com/scipy/scipy/pull/14010>`__: MAINT: add
> support for wheel DL proxy
> * `#14012 <https://github.com/scipy/scipy/pull/14012>`__: DOC: Broaden
> Exact Test Reference
> * `#14015 <https://github.com/scipy/scipy/pull/14015>`__: MAINT: remove
> brew update
> * `#14017 <https://github.com/scipy/scipy/pull/14017>`__: BENCH: Add more
> formats for sparse arithmetic
> * `#14018 <https://github.com/scipy/scipy/pull/14018>`__: BENCH: add
> benchmark for f_oneway
> * `#14020 <https://github.com/scipy/scipy/pull/14020>`__: MAINT: modify
> np.int\_ to np.int32 to make it the same for 32/64...
> * `#14023 <https://github.com/scipy/scipy/pull/14023>`__: MAINT: Fix
> clang build and remove some unicode characters
> * `#14025 <https://github.com/scipy/scipy/pull/14025>`__: BUG: sparse:
> fix DIA.setdiag issue
> * `#14026 <https://github.com/scipy/scipy/pull/14026>`__: TST: optimize:
> xfail part of test_powell
> * `#14029 <https://github.com/scipy/scipy/pull/14029>`__: CI: github
> macos fix
> * `#14030 <https://github.com/scipy/scipy/pull/14030>`__: MAINT: use
> 'yield from <expr>' (PEP 380)
> * `#14031 <https://github.com/scipy/scipy/pull/14031>`__: MAINT:
> new-style class, removing inheritance to object
> * `#14032 <https://github.com/scipy/scipy/pull/14032>`__: MAINT: CXXFLAGS
> for Pythran
> * `#14033 <https://github.com/scipy/scipy/pull/14033>`__: ENH: Port
> sqeuclidean and braycurtis to _distance_pybind
> * `#14034 <https://github.com/scipy/scipy/pull/14034>`__: MAINT: Clean-up
> 'next = __next__'
> * `#14045 <https://github.com/scipy/scipy/pull/14045>`__: MAINT: bump
> PYVER pavement.py
> * `#14047 <https://github.com/scipy/scipy/pull/14047>`__: DEV: initialize
> boost submodule in Gitpod Dockerfile
> * `#14051 <https://github.com/scipy/scipy/pull/14051>`__: BLD: if boost
> submodule content is missing, error out early
> * `#14052 <https://github.com/scipy/scipy/pull/14052>`__: DOC: missing
> submodule init information
> * `#14057 <https://github.com/scipy/scipy/pull/14057>`__: DOC: special:
> Add Examples to \`psi\` docstring
> * `#14058 <https://github.com/scipy/scipy/pull/14058>`__: BUG: fixed a
> dtype bug in linalg.solve.
> * `#14060 <https://github.com/scipy/scipy/pull/14060>`__: Doc: Fix typo
> in documentation of spence function.
> * `#14061 <https://github.com/scipy/scipy/pull/14061>`__: MAINT:stats:
> Type annotations for _sobol.pyx
> * `#14062 <https://github.com/scipy/scipy/pull/14062>`__: DOC: A few
> small fixes in quickstart_gitpod.rst
> * `#14063 <https://github.com/scipy/scipy/pull/14063>`__: DOC: signal:
> add Add Examples to \`cont2discrete\` docstring
> * `#14064 <https://github.com/scipy/scipy/pull/14064>`__: DOC: optimize:
> Add Examples to fmin_bfgs docstring
> * `#14065 <https://github.com/scipy/scipy/pull/14065>`__: Add example for
> scipy stats.trim1 under docstring
> * `#14066 <https://github.com/scipy/scipy/pull/14066>`__: DOC add example
> to scipy.special.hermite
> * `#14067 <https://github.com/scipy/scipy/pull/14067>`__: DOC add alpha
> docstring description, add example to docstring
> * `#14070 <https://github.com/scipy/scipy/pull/14070>`__: DOC add
> parameters, return, and example to docstring
> * `#14072 <https://github.com/scipy/scipy/pull/14072>`__: MAINT/TST: Fix
> tests failing with the nightly build of numpy.
> * `#14075 <https://github.com/scipy/scipy/pull/14075>`__: DOC Improve the
> code snippet in signal.hilbert docstring.
> * `#14076 <https://github.com/scipy/scipy/pull/14076>`__: DOC: Document
> Jensen-Shannon distance being accepted by cdist/pdist
> * `#14079 <https://github.com/scipy/scipy/pull/14079>`__: BLD: Avoid
> importing scipy.stats during cythonize stage
> * `#14082 <https://github.com/scipy/scipy/pull/14082>`__: MAINT: Remove
> old, commented extract_diagonal
> * `#14083 <https://github.com/scipy/scipy/pull/14083>`__: MAINT: sparse:
> Remove defunct function extract_diagonal
> * `#14085 <https://github.com/scipy/scipy/pull/14085>`__: ENH: Implement
> canberra distance in _distance_pybind
> * `#14086 <https://github.com/scipy/scipy/pull/14086>`__: MAINT: Clear
> scipy namespace of entries better imported from...
> * `#14088 <https://github.com/scipy/scipy/pull/14088>`__: Install Pythran
> from sources for python 3.10
> * `#14092 <https://github.com/scipy/scipy/pull/14092>`__: BUG: Fixes
> issue with clang.
> * `#14094 <https://github.com/scipy/scipy/pull/14094>`__: DOC: Correct
> the inconsistence definition of Default in class...
> * `#14105 <https://github.com/scipy/scipy/pull/14105>`__: TST: stats:
> mannwhitneyu: check that mstats and stats mannwhitneyu...
> * `#14106 <https://github.com/scipy/scipy/pull/14106>`__: DOC:
> stats.mstats: mannwhitneyu: the returned statistic is the...
> * `#14107 <https://github.com/scipy/scipy/pull/14107>`__: ENH: stats:
> bootstrap: add \`vectorized\` parameter; automatically...
> * `#14109 <https://github.com/scipy/scipy/pull/14109>`__: BUG: fix two
> issues in the fblas signature files
> * `#14110 <https://github.com/scipy/scipy/pull/14110>`__: DOC: mailmap
> update
> * `#14113 <https://github.com/scipy/scipy/pull/14113>`__: ENH: stats:
> bootstrap: add \`paired\` parameter
> * `#14116 <https://github.com/scipy/scipy/pull/14116>`__: MAINT: fix
> deprecated Python C API usage in odr
> * `#14118 <https://github.com/scipy/scipy/pull/14118>`__: DOC: 1.7.0
> release notes
> * `#14125 <https://github.com/scipy/scipy/pull/14125>`__: DOC: fix typo
> * `#14126 <https://github.com/scipy/scipy/pull/14126>`__: ENH: stats:
> bootstrap: add \`batch\` parameter to control batch...
> * `#14127 <https://github.com/scipy/scipy/pull/14127>`__: CI: upgrade pip
> in benchmarks CI run
> * `#14130 <https://github.com/scipy/scipy/pull/14130>`__: BUG: Fix
> trust-constr report TypeError if verbose is set to 2...
> * `#14133 <https://github.com/scipy/scipy/pull/14133>`__: MAINT:
> interpolate: raise NotImplementedError not ValueError
> * `#14139 <https://github.com/scipy/scipy/pull/14139>`__: FIX/DOC: lsqr
> doctests print failure
> * `#14145 <https://github.com/scipy/scipy/pull/14145>`__: MAINT: 1.7.x
> version pins ("backport")
> * `#14146 <https://github.com/scipy/scipy/pull/14146>`__: MAINT: commit
> count if no tag
> * `#14164 <https://github.com/scipy/scipy/pull/14164>`__: TST, BUG: fix
> rbf matrix value
> * `#14166 <https://github.com/scipy/scipy/pull/14166>`__: CI, MAINT:
> restrictions on pre-release CI
> * `#14171 <https://github.com/scipy/scipy/pull/14171>`__: TST: signal:
> Bump tolerances for a test of Gustafsson's...
> * `#14175 <https://github.com/scipy/scipy/pull/14175>`__: TST: stats:
> Loosen tolerance in some binomtest tests.
> * `#14182 <https://github.com/scipy/scipy/pull/14182>`__: MAINT: stats:
> Update ppcc_plot and ppcc_max docstring.
> * `#14195 <https://github.com/scipy/scipy/pull/14195>`__: MAINT:
> download-wheels missing import
> * `#14230 <https://github.com/scipy/scipy/pull/14230>`__: REL: stop
> shipping generated Cython sources in sdist
>
> Checksums
> =========
>
> MD5
> ~~~
>
> 276042cf01da2970b83883375b036eef
>  scipy-1.7.0-cp37-cp37m-macosx_10_9_x86_64.whl
> 8149ae5442d3ca11d477893b9797b565
>  scipy-1.7.0-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
> 32d249d21ec09fe351b471cd578a54bd
>  scipy-1.7.0-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.whl
> 6f9b11e29d59e276729ec706c38961e2
>  scipy-1.7.0-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.whl
> c4b23f53f47888744713a25000ed73fd  scipy-1.7.0-cp37-cp37m-win32.whl
> 767b17455eba48cbe3949a4a8609d9e7  scipy-1.7.0-cp37-cp37m-win_amd64.whl
> ac0f5c087893240b13a78dbc80e002e1
>  scipy-1.7.0-cp38-cp38-macosx_10_9_x86_64.whl
> e2e369078c6b7ca29c952cb9971bc154
>  scipy-1.7.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
> 2f4d2c55937133983031428405ef50e5
>  scipy-1.7.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl
> 092c9b3117c2acc378be46fac846b088
>  scipy-1.7.0-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.whl
> 08a560d8f936ea64d65471382d829b43  scipy-1.7.0-cp38-cp38-win32.whl
> 330c71d5ae61a6f1a96573ee5e2dc536  scipy-1.7.0-cp38-cp38-win_amd64.whl
> 535e0df93c3005acb69cf32eed57e5d7
>  scipy-1.7.0-cp39-cp39-macosx_10_9_x86_64.whl
> 003d015e6c75d683f8e27e80d731f782
>  scipy-1.7.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
> 9306001377da7b018ac0215eed2ba022
>  scipy-1.7.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl
> ed943492a5f97a086c96b6d158028ba4
>  scipy-1.7.0-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.whl
> 89499df789ff766d6140ab50b8a56745  scipy-1.7.0-cp39-cp39-win32.whl
> daf4ab11d37576bd792ece587e8f7ae6  scipy-1.7.0-cp39-cp39-win_amd64.whl
> 8776cb3e803f07c74ddf1045eb177904  scipy-1.7.0.tar.gz
> a0690bb8aa427fc0a3a59946b532763c  scipy-1.7.0.tar.xz
> f1f1970a34948e59b37e9706a3dfca0e  scipy-1.7.0.zip
>
> SHA256
> ~~~~~~
>
> 821e75f5c16cd7b0ab0ffe7eb9917e5af7b48c25306b4777287de8d792a5f7f3
>  scipy-1.7.0-cp37-cp37m-macosx_10_9_x86_64.whl
> 3e7df79b42c3015058a5554bfeab6fd4c9906c46560c9ddebb5c652840f3e182
>  scipy-1.7.0-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
> 0572256c10ddd058e3d315c555538671ddb2737f27eb56189bfbc3483391403f
>  scipy-1.7.0-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.whl
> b77ee5e3a9507622e7f98b16122242a3903397f98d1fe3bc269d904a9025e2bc
>  scipy-1.7.0-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.whl
> 53116abd5060a5b4a58489cf689bee259b779e6b7ecd4ce366e7147aa7c9626e
>  scipy-1.7.0-cp37-cp37m-win32.whl
> e7b733d4d98e604109715e11f2ab9340eb45d53f803634ed730039070fc3bc11
>  scipy-1.7.0-cp37-cp37m-win_amd64.whl
> 4ef3d4df8af40cb6f4d4eaf7b02780109ebabeec334cda26a7899ec9d8de9176
>  scipy-1.7.0-cp38-cp38-macosx_10_9_x86_64.whl
> bd4399d4388ca0239a4825e312b3e61b60f743dd6daf49e5870837716502a92a
>  scipy-1.7.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
> 80df8af7039bce92fb4cd1ceb056258631b11b3c627384e2d29bb48d44c0cae7
>  scipy-1.7.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl
> 6130e22bf6ee506f7cddde7e0515296d97eb6c6c94f7ef5103c2b77aec5833a7
>  scipy-1.7.0-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.whl
> 97ca4552ace1c313707058e774609af59644321e278c3a539322fab2fb09b943
>  scipy-1.7.0-cp38-cp38-win32.whl
> c5d012cb82cc1dcfa72609abaabb4a4ed8113e3e8ac43464508a418c146be57d
>  scipy-1.7.0-cp38-cp38-win_amd64.whl
> 5eb8f054eebb351af7490bbb57465ba9662c4e16e1786655c6c7ed530eb9a74e
>  scipy-1.7.0-cp39-cp39-macosx_10_9_x86_64.whl
> 7f4b89c223bd09460b52b669e2e642cab73c28855b540e6ed029692546a86f8d
>  scipy-1.7.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
> 2e685fdbfa5b989af4338b29c408b9157ea6addec15d661104c437980c292be5
>  scipy-1.7.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl
> 3595c8b64970c9e5a3f137fa1a9eb64da417e78fb7991d0b098b18a00b776d88
>  scipy-1.7.0-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.whl
> 5a983d3cebc27294897951a494cebd78af2eae37facf75d9e4ad4f1f62229860
>  scipy-1.7.0-cp39-cp39-win32.whl
> aef6e922aea6f2e6bbb539b413c85210a9ee32757535b84204ebd22723e69704
>  scipy-1.7.0-cp39-cp39-win_amd64.whl
> 998c5e6ea649489302de2c0bc026ed34284f531df89d2bdc8df3a0d44d165739
>  scipy-1.7.0.tar.gz
> 0564d1091b8db03418356f0839cc4bf73b9bf7cd1089586eb690208e1f44bb8d
>  scipy-1.7.0.tar.xz
> 3a0ec7390c491140551f6493611a30605144a4d47c0410e81f49921ada026993
>  scipy-1.7.0.zip
> _______________________________________________
> NumPy-Discussion mailing list
> [email protected]
> https://mail.python.org/mailman/listinfo/numpy-discussion
>
>
> _______________________________________________
> SciPy-User mailing list
> [email protected]
> https://mail.python.org/mailman/listinfo/scipy-user
>

_______________________________________________
NumPy-Discussion mailing list
[email protected]
https://mail.python.org/mailman/listinfo/numpy-discussion