Re: [Numpy-discussion] ANN: SciPy 1.11.0

Thanks a lot Tyler, this was also one of the trickier ones.

On Mon, Jun 26, 2023 at 7:56 AM Evgeni Burovski <[email protected]>
wrote:

> Thank you Tyler for managing this release!
>
> On Sun, Jun 25, 2023 at 11:42 PM Tyler Reddy <[email protected]>
> wrote:
> >
> > Hi all,
> >
> > On behalf of the SciPy development team, I'm pleased to announce the
> release of SciPy 1.11.0.
> >
> > Sources and binary wheels can be found at:
> > https://pypi.org/project/scipy/
> > and at: https://github.com/scipy/scipy/releases/tag/v1.11.0
> >
> > One of a few ways to install this release with pip:
> >
> > pip install scipy==1.11.0
> >
> > ==========================
> > SciPy 1.11.0 Release Notes
> > ==========================
> >
> > SciPy 1.11.0 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
> > 1.11.x branch, and on adding new features on the main branch.
> >
> > This release requires Python 3.9+ and NumPy 1.21.6 or greater.
> >
> > For running on PyPy, PyPy3 6.0+ is required.
> >
> >
> > **************************
> > Highlights of this release
> > **************************
> >
> > - Several `scipy.sparse` array API improvements, including
> `sparse.sparray`, a new
> >   public base class distinct from the older `sparse.spmatrix` class,
> >   proper 64-bit index support, and numerous deprecations paving the way
> to a
> >   modern sparse array experience.
> > - `scipy.stats` added tools for survival analysis, multiple hypothesis
> testing,
> >   sensitivity analysis, and working with censored data.
> > - A new function was added for quasi-Monte Carlo integration, and linear
> >   algebra functions ``det`` and ``lu`` now accept nD-arrays.
> > - An ``axes`` argument was added broadly to ``ndimage`` functions,
> facilitating
> >   analysis of stacked image data.
> >
> >
> > ************
> > New features
> > ************
> >
> > `scipy.integrate` improvements
> > ==============================
> > - Added `scipy.integrate.qmc_quad` for quasi-Monte Carlo integration.
> > - For an even number of points, `scipy.integrate.simpson` now calculates
> >   a parabolic segment over the last three points which gives improved
> >   accuracy over the previous implementation.
> >
> > `scipy.cluster` improvements
> > ============================
> > - ``disjoint_set`` has a new method ``subset_size`` for providing the
> size
> >   of a particular subset.
> >
> >
> > `scipy.constants` improvements
> > ================================
> > - The ``quetta``, ``ronna``, ``ronto``, and ``quecto`` SI prefixes were
> added.
> >
> >
> > `scipy.linalg` improvements
> > ===========================
> > - `scipy.linalg.det` is improved and now accepts nD-arrays.
> > - `scipy.linalg.lu` is improved and now accepts nD-arrays. With the new
> >   ``p_indices`` switch the output permutation argument can be 1D ``(n,)``
> >   permutation index instead of the full ``(n, n)`` array.
> >
> >
> > `scipy.ndimage` improvements
> > ============================
> > - ``axes`` argument was added to ``rank_filter``, ``percentile_filter``,
> >   ``median_filter``, ``uniform_filter``, ``minimum_filter``,
> >   ``maximum_filter``, and ``gaussian_filter``, which can be useful for
> >   processing stacks of image data.
> >
> >
> > `scipy.optimize` improvements
> > =============================
> > - `scipy.optimize.linprog` now passes unrecognized options directly to
> HiGHS.
> > - `scipy.optimize.root_scalar` now uses Newton's method to be used
> without
> >   providing ``fprime`` and the ``secant`` method to be used without a
> second
> >   guess.
> > - `scipy.optimize.lsq_linear` now accepts ``bounds`` arguments of type
> >   `scipy.optimize.Bounds`.
> > - `scipy.optimize.minimize` ``method='cobyla'`` now supports simple bound
> >   constraints.
> > - Users can opt into a new callback interface for most methods of
> >   `scipy.optimize.minimize`: If the provided callback callable accepts
> >   a single keyword argument, ``intermediate_result``,
> `scipy.optimize.minimize`
> >   now passes both the current solution and the optimal value of the
> objective
> >   function to the callback as an instance of
> `scipy.optimize.OptimizeResult`.
> >   It also allows the user to terminate optimization by raising a
> >   ``StopIteration`` exception from the callback function.
> >   `scipy.optimize.minimize` will return normally, and the latest solution
> >   information is provided in the result object.
> > - `scipy.optimize.curve_fit` now supports an optional ``nan_policy``
> argument.
> > - `scipy.optimize.shgo` now has parallelization with the ``workers``
> argument,
> >   symmetry arguments that can improve performance, class-based design to
> >   improve usability, and generally improved performance.
> >
> >
> > `scipy.signal` improvements
> > ===========================
> > - ``istft`` has an improved warning message when the NOLA condition
> fails.
> >
> > `scipy.sparse` improvements
> > ===========================
> > - A new public base class `scipy.sparse.sparray` was introduced,
> allowing further
> >   extension of the sparse array API (such as the support for
> 1-dimensional
> >   sparse arrays) without breaking backwards compatibility.
> >   `isinstance(x, scipy.sparse.sparray)` to select the new sparse array
> classes,
> >   while `isinstance(x, scipy.sparse.spmatrix)` selects only the old
> sparse
> >   matrix classes.
> > - Division of sparse arrays by a dense array now returns sparse arrays.
> > - `scipy.sparse.isspmatrix` now only returns `True` for the sparse
> matrices instances.
> >   `scipy.sparse.issparse` now has to be used instead to check for
> instances of sparse
> >   arrays or instances of sparse matrices.
> > - Sparse arrays constructed with int64 indices will no longer
> automatically
> >   downcast to int32.
> > - The ``argmin`` and ``argmax`` methods now return the correct result
> when explicit
> >   zeros are present.
> >
> > `scipy.sparse.linalg` improvements
> > ==================================
> > - dividing ``LinearOperator`` by a number now returns a
> >   ``_ScaledLinearOperator``
> > - ``LinearOperator`` now supports right multiplication by arrays
> > - ``lobpcg`` should be more efficient following removal of an extraneous
> >   QR decomposition.
> >
> >
> > `scipy.spatial` improvements
> > ============================
> > - Usage of new C++ backend for additional distance metrics, the majority
> of
> >   which will see substantial performance improvements, though a few minor
> >   regressions are known. These are focused on distances between boolean
> >   arrays.
> >
> >
> > `scipy.special` improvements
> > ============================
> > - The factorial functions ``factorial``, ``factorial2`` and
> ``factorialk``
> >   were made consistent in their behavior (in terms of dimensionality,
> >   errors etc.). Additionally, ``factorial2`` can now handle arrays with
> >   ``exact=True``, and ``factorialk`` can handle arrays.
> >
> >
> > `scipy.stats` improvements
> > ==========================
> >
> > New Features
> > ------------
> > - `scipy.stats.sobol_indices`, a method to compute Sobol' sensitivity
> indices.
> > - `scipy.stats.dunnett`, which performs Dunnett's test of the means of
> multiple
> >   experimental groups against the mean of a control group.
> > - `scipy.stats.ecdf` for computing the empirical CDF and complementary
> >   CDF (survival function / SF) from uncensored or right-censored data.
> This
> >   function is also useful for survival analysis / Kaplan-Meier
> estimation.
> > - `scipy.stats.logrank` to compare survival functions underlying samples.
> > - `scipy.stats.false_discovery_control` for adjusting p-values to
> control the
> >   false discovery rate of multiple hypothesis tests using the
> >   Benjamini-Hochberg or Benjamini-Yekutieli procedures.
> > - `scipy.stats.CensoredData` to represent censored data. It can be used
> as
> >   input to the ``fit`` method of univariate distributions and to the new
> >   ``ecdf`` function.
> > - Filliben's goodness of fit test as ``method='Filliben'`` of
> >   `scipy.stats.goodness_of_fit`.
> > - `scipy.stats.ttest_ind` has a new method, ``confidence_interval`` for
> >   computing a confidence interval of the difference between means.
> > - `scipy.stats.MonteCarloMethod`, `scipy.stats.PermutationMethod`, and
> >   `scipy.stats.BootstrapMethod` are new classes to configure resampling
> and/or
> >   Monte Carlo versions of hypothesis tests. They can currently be used
> with
> >   `scipy.stats.pearsonr`.
> >
> > Statistical Distributions
> > -------------------------
> > - Added the von-Mises Fisher distribution as
> `scipy.stats.vonmises_fisher`.
> >   This distribution is the most common analogue of the normal
> distribution
> >   on the unit sphere.
> > - Added the relativistic Breit-Wigner distribution as
> >   `scipy.stats.rel_breitwigner`.
> >   It is used in high energy physics to model resonances.
> > - Added the Dirichlet multinomial distribution as
> >   `scipy.stats.dirichlet_multinomial`.
> > - Improved the speed and precision of several univariate statistical
> >   distributions.
> >
> >   - `scipy.stats.anglit` ``sf``
> >   - `scipy.stats.beta` ``entropy``
> >   - `scipy.stats.betaprime` ``cdf``, ``sf``, ``ppf``
> >   - `scipy.stats.chi` ``entropy``
> >   - `scipy.stats.chi2` ``entropy``
> >   - `scipy.stats.dgamma` ``entropy``, ``cdf``, ``sf``, ``ppf``, and
> ``isf``
> >   - `scipy.stats.dweibull` ``entropy``, ``sf``, and ``isf``
> >   - `scipy.stats.exponweib` ``sf`` and ``isf``
> >   - `scipy.stats.f` ``entropy``
> >   - `scipy.stats.foldcauchy` ``sf``
> >   - `scipy.stats.foldnorm` ``cdf`` and ``sf``
> >   - `scipy.stats.gamma` ``entropy``
> >   - `scipy.stats.genexpon` ``ppf``, ``isf``, ``rvs``
> >   - `scipy.stats.gengamma` ``entropy``
> >   - `scipy.stats.geom` ``entropy``
> >   - `scipy.stats.genlogistic` ``entropy``, ``logcdf``, ``sf``, ``ppf``,
> >     and ``isf``
> >   - `scipy.stats.genhyperbolic` ``cdf`` and ``sf``
> >   - `scipy.stats.gibrat` ``sf`` and ``isf``
> >   - `scipy.stats.gompertz` ``entropy``, ``sf``. and ``isf``
> >   - `scipy.stats.halflogistic` ``sf``, and ``isf``
> >   - `scipy.stats.halfcauchy` ``sf`` and ``isf``
> >   - `scipy.stats.halfnorm` ``cdf``, ``sf``, and ``isf``
> >   - `scipy.stats.invgamma` ``entropy``
> >   - `scipy.stats.invgauss` ``entropy``
> >   - `scipy.stats.johnsonsb` ``pdf``, ``cdf``, ``sf``, ``ppf``, and
> ``isf``
> >   - `scipy.stats.johnsonsu` ``pdf``, ``sf``, ``isf``, and ``stats``
> >   - `scipy.stats.lognorm` ``fit``
> >   - `scipy.stats.loguniform` ``entropy``, ``logpdf``, ``pdf``, ``cdf``,
> ``ppf``,
> >     and ``stats``
> >   - `scipy.stats.maxwell` ``sf`` and ``isf``
> >   - `scipy.stats.nakagami` ``entropy``
> >   - `scipy.stats.powerlaw` ``sf``
> >   - `scipy.stats.powerlognorm` ``logpdf``, ``logsf``, ``sf``, and ``isf``
> >   - `scipy.stats.powernorm` ``sf`` and ``isf``
> >   - `scipy.stats.t` ``entropy``, ``logpdf``, and ``pdf``
> >   - `scipy.stats.truncexpon` ``sf``, and ``isf``
> >   - `scipy.stats.truncnorm` ``entropy``
> >   - `scipy.stats.truncpareto` ``fit``
> >   - `scipy.stats.vonmises` ``fit``
> >
> > - `scipy.stats.multivariate_t` now has ``cdf`` and ``entropy`` methods.
> > - `scipy.stats.multivariate_normal`, `scipy.stats.matrix_normal`, and
> >   `scipy.stats.invwishart` now have an ``entropy`` method.
> >
> > Other Improvements
> > ------------------
> > - `scipy.stats.monte_carlo_test` now supports multi-sample statistics.
> > - `scipy.stats.bootstrap` can now produce one-sided confidence intervals.
> > - `scipy.stats.rankdata` performance was improved for ``method=ordinal``
> and
> >   ``method=dense``.
> > - `scipy.stats.moment` now supports non-central moment calculation.
> > - `scipy.stats.anderson` now supports the ``weibull_min`` distribution.
> > - `scipy.stats.sem` and `scipy.stats.iqr` now support ``axis``,
> ``nan_policy``,
> >   and masked array input.
> >
> > *******************
> > Deprecated features
> > *******************
> >
> > - Multi-Ellipsis sparse matrix indexing has been deprecated and will
> >   be removed in SciPy 1.13.
> > - Several methods were deprecated for sparse arrays: ``asfptype``,
> ``getrow``,
> >   ``getcol``, ``get_shape``, ``getmaxprint``, ``set_shape``,
> >   ``getnnz``, and ``getformat``. Additionally, the ``.A`` and ``.H``
> >   attributes were deprecated. Sparse matrix types are not affected.
> > - The `scipy.linalg` functions ``tri``, ``triu`` & ``tril`` are
> deprecated and
> >   will be removed in SciPy 1.13. Users are recommended to use the NumPy
> >   versions of these functions with identical names.
> > - The `scipy.signal` functions ``bspline``, ``quadratic`` & ``cubic`` are
> >   deprecated and will be removed in SciPy 1.13. Users are recommended to
> use
> >   `scipy.interpolate.BSpline` instead.
> > - The ``even`` keyword of `scipy.integrate.simpson` is deprecated and
> will be
> >   removed in SciPy 1.13.0. Users should leave this as the default as this
> >   gives improved accuracy compared to the other methods.
> > - Using ``exact=True`` when passing integers in a float array to
> ``factorial``
> >   is deprecated and will be removed in SciPy 1.13.0.
> > - float128 and object dtypes are deprecated for `scipy.signal.medfilt`
> and
> >   `scipy.signal.order_filter`
> > - The functions ``scipy.signal.{lsim2, impulse2, step2}`` had long been
> >   deprecated in documentation only. They now raise a DeprecationWarning
> and
> >   will be removed in SciPy 1.13.0.
> > - Importing window functions directly from `scipy.window` has been soft
> >   deprecated since SciPy 1.1.0. They now raise a ``DeprecationWarning``
> and
> >   will be removed in SciPy 1.13.0. Users should instead import them from
> >   `scipy.signal.window` or use the convenience function
> >   `scipy.signal.get_window`.
> >
> > ******************************
> > Backwards incompatible changes
> > ******************************
> > - The default for the ``legacy`` keyword of `scipy.special.comb` has
> changed
> >   from ``True`` to ``False``, as announced since its introduction.
> >
> > ********************
> > Expired Deprecations
> > ********************
> > There is an ongoing effort to follow through on long-standing
> deprecations.
> > The following previously deprecated features are affected:
> >
> > - The ``n`` keyword has been removed from `scipy.stats.moment`.
> > - The ``alpha`` keyword has been removed from `scipy.stats.interval`.
> > - The misspelt ``gilbrat`` distribution has been removed (use
> >   `scipy.stats.gibrat`).
> > - The deprecated spelling of the ``kulsinski`` distance metric has been
> >   removed (use `scipy.spatial.distance.kulczynski1`).
> > - The ``vertices`` keyword of `scipy.spatial.Delauney.qhull` has been
> removed
> >   (use simplices).
> > - The ``residual`` property of `scipy.sparse.csgraph.maximum_flow` has
> been
> >   removed (use ``flow``).
> > - The ``extradoc`` keyword of `scipy.stats.rv_continuous`,
> >   `scipy.stats.rv_discrete` and `scipy.stats.rv_sample` has been removed.
> > - The ``sym_pos`` keyword of `scipy.linalg.solve` has been removed.
> > - The `scipy.optimize.minimize` function now raises an error for ``x0``
> with
> >   ``x0.ndim > 1``.
> > - In `scipy.stats.mode`, the default value of ``keepdims`` is now
> ``False``,
> >   and support for non-numeric input has been removed.
> > - The function `scipy.signal.lsim` does not support non-uniform time
> steps
> >   anymore.
> >
> >
> > *************
> > Other changes
> > *************
> > - Rewrote the source build docs and restructured the contributor guide.
> > - Improved support for cross-compiling with meson build system.
> > - MyST-NB notebook infrastructure has been added to our documentation.
> >
> >
> >
> > *******
> > Authors
> > *******
> >
> > * h-vetinari (69)
> > * Oriol Abril-Pla (1) +
> > * Tom Adamczewski (1) +
> > * Anton Akhmerov (13)
> > * Andrey Akinshin (1) +
> > * alice (1) +
> > * Oren Amsalem (1)
> > * Ross Barnowski (13)
> > * Christoph Baumgarten (2)
> > * Dawson Beatty (1) +
> > * Doron Behar (1) +
> > * Peter Bell (1)
> > * John Belmonte (1) +
> > * boeleman (1) +
> > * Jack Borchanian (1) +
> > * Matt Borland (3) +
> > * Jake Bowhay (41)
> > * Larry Bradley (1) +
> > * Sienna Brent (1) +
> > * Matthew Brett (1)
> > * Evgeni Burovski (39)
> > * Matthias Bussonnier (2)
> > * Maria Cann (1) +
> > * Alfredo Carella (1) +
> > * CJ Carey (34)
> > * Hood Chatham (2)
> > * Anirudh Dagar (3)
> > * Alberto Defendi (1) +
> > * Pol del Aguila (1) +
> > * Hans Dembinski (1)
> > * Dennis (1) +
> > * Vinayak Dev (1) +
> > * Thomas Duvernay (1)
> > * DWesl (4)
> > * Stefan Endres (66)
> > * Evandro (1) +
> > * Tom Eversdijk (2) +
> > * Isuru Fernando (1)
> > * Franz Forstmayr (4)
> > * Joseph Fox-Rabinovitz (1)
> > * Stefano Frazzetto (1) +
> > * Neil Girdhar (1)
> > * Caden Gobat (1) +
> > * Ralf Gommers (153)
> > * GonVas (1) +
> > * Marco Gorelli (1)
> > * Brett Graham (2) +
> > * Matt Haberland (388)
> > * harshvardhan2707 (1) +
> > * Alex Herbert (1) +
> > * Guillaume Horel (1)
> > * Geert-Jan Huizing (1) +
> > * Jakob Jakobson (2)
> > * Julien Jerphanion (10)
> > * jyuv (2)
> > * Rajarshi Karmakar (1) +
> > * Ganesh Kathiresan (3) +
> > * Robert Kern (4)
> > * Andrew Knyazev (4)
> > * Sergey Koposov (1)
> > * Rishi Kulkarni (2) +
> > * Eric Larson (1)
> > * Zoufiné Lauer-Bare (2) +
> > * Antony Lee (3)
> > * Gregory R. Lee (8)
> > * Guillaume Lemaitre (2) +
> > * lilinjie (2) +
> > * Yannis Linardos (1) +
> > * Christian Lorentzen (5)
> > * Loïc Estève (1)
> > * Adam Lugowski (1) +
> > * Charlie Marsh (2) +
> > * Boris Martin (1) +
> > * Nicholas McKibben (11)
> > * Melissa Weber Mendonça (58)
> > * Michał Górny (1) +
> > * Jarrod Millman (5)
> > * Stefanie Molin (2) +
> > * Mark W. Mueller (1) +
> > * mustafacevik (1) +
> > * Takumasa N (1) +
> > * nboudrie (1)
> > * Andrew Nelson (112)
> > * Nico Schlömer (4)
> > * Lysandros Nikolaou (2) +
> > * Kyle Oman (1)
> > * OmarManzoor (2) +
> > * Simon Ott (1) +
> > * Geoffrey Oxberry (1) +
> > * Geoffrey M. Oxberry (2) +
> > * Sravya papaganti (1) +
> > * Tirth Patel (2)
> > * Ilhan Polat (32)
> > * Quentin Barthélemy (1)
> > * Matteo Raso (12) +
> > * Tyler Reddy (143)
> > * Lucas Roberts (1)
> > * Pamphile Roy (225)
> > * Jordan Rupprecht (1) +
> > * Atsushi Sakai (11)
> > * Omar Salman (7) +
> > * Leo Sandler (1) +
> > * Ujjwal Sarswat (3) +
> > * Saumya (1) +
> > * Daniel Schmitz (79)
> > * Henry Schreiner (2) +
> > * Dan Schult (8) +
> > * Eli Schwartz (6)
> > * Tomer Sery (2) +
> > * Scott Shambaugh (10) +
> > * Gagandeep Singh (1)
> > * Ethan Steinberg (6) +
> > * stepeos (2) +
> > * Albert Steppi (3)
> > * Strahinja Lukić (1)
> > * Kai Striega (4)
> > * suen-bit (1) +
> > * Tartopohm (2)
> > * Logan Thomas (2) +
> > * Jacopo Tissino (1) +
> > * Matus Valo (12) +
> > * Jacob Vanderplas (2)
> > * Christian Veenhuis (1) +
> > * Isaac Virshup (3)
> > * Stefan van der Walt (14)
> > * Warren Weckesser (63)
> > * windows-server-2003 (1)
> > * Levi John Wolf (3)
> > * Nobel Wong (1) +
> > * Benjamin Yeh (1) +
> > * Rory Yorke (1)
> > * Younes (2) +
> > * Zaikun ZHANG (1) +
> > * Alex Zverianskii (1) +
> >
> > A total of 134 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 1.11.0
> > ************************
> >
> > * `#1766 <https://github.com/scipy/scipy/issues/1766>`__: __fitpack.h
> work array computations pretty much one big bug....
> > * `#1953 <https://github.com/scipy/scipy/issues/1953>`__: use custom
> warnings instead of print statements (Trac #1428)
> > * `#3089 <https://github.com/scipy/scipy/issues/3089>`__: brentq, nan
> returns, and bounds
> > * `#4257 <https://github.com/scipy/scipy/issues/4257>`__:
> scipy.optimize.line_search returns None
> > * `#4532 <https://github.com/scipy/scipy/issues/4532>`__: box
> constraint in scipy optimize cobyla
> > * `#5584 <https://github.com/scipy/scipy/issues/5584>`__: Suspected
> underflow issue with sign check in bisection method
> > * `#5618 <https://github.com/scipy/scipy/issues/5618>`__: Solution for
> low accuracy of simps with even number of points
> > * `#5899 <https://github.com/scipy/scipy/issues/5899>`__:
> minimize_scalar -- strange behaviour
> > * `#6414 <https://github.com/scipy/scipy/issues/6414>`__: scipy.stats
> Breit-Wigner distribution
> > * `#6842 <https://github.com/scipy/scipy/issues/6842>`__: Covariance
> matrix returned by ODR needs to be scaled by the residual...
> > * `#7306 <https://github.com/scipy/scipy/issues/7306>`__: any way of
> stopping optimization?
> > * `#7799 <https://github.com/scipy/scipy/issues/7799>`__: basinhopping
> result violates constraints
> > * `#8176 <https://github.com/scipy/scipy/issues/8176>`__:
> optimize.minimize should provide a way to return the cost function...
> > * `#8394 <https://github.com/scipy/scipy/issues/8394>`__: brentq
> returns solutions outside of the bounds
> > * `#8485 <https://github.com/scipy/scipy/issues/8485>`__: freqz()
> output for fifth order butterworth bandpass (low cut...
> > * `#8922 <https://github.com/scipy/scipy/issues/8922>`__: Bug in
> Solve_ivp with BDF and Radau solvers and numpy arrays
> > * `#9061 <https://github.com/scipy/scipy/issues/9061>`__: Will a
> vectorized fun offer advantages for scipy.integrate.LSODA?
> > * `#9265 <https://github.com/scipy/scipy/issues/9265>`__: DOC:
> optimize.minimize: recipe for avoiding redundant work when...
> > * `#9412 <https://github.com/scipy/scipy/issues/9412>`__: Callback
> return value erroneously ignored in minimize
> > * `#9728 <https://github.com/scipy/scipy/issues/9728>`__: DOC:
> scipy.integrate.solve_ivp
> > * `#9955 <https://github.com/scipy/scipy/issues/9955>`__: stats.mode
> nan_policy='omit' unexpected behavior when data are...
> > * `#10050 <https://github.com/scipy/scipy/issues/10050>`__: [Bug]
> inconsistent canonical format for coo_matrix
> > * `#10370 <https://github.com/scipy/scipy/issues/10370>`__: SciPy
> errors out expecting square matrix using for root-finding...
> > * `#10437 <https://github.com/scipy/scipy/issues/10437>`__:
> scipy.optimize.dual_annealing always rejects non-improving state
> > * `#10554 <https://github.com/scipy/scipy/issues/10554>`__:
> ndimage.gaussian_filter provide axis option
> > * `#10829 <https://github.com/scipy/scipy/issues/10829>`__: Extend
> Anderson Darling to cover Weibull distribution
> > * `#10853 <https://github.com/scipy/scipy/issues/10853>`__:
> ImportError: cannot import name spatial
> > * `#11052 <https://github.com/scipy/scipy/issues/11052>`__:
> optimize.dual_annealing does not pass arguments to jacobian.
> > * `#11564 <https://github.com/scipy/scipy/issues/11564>`__:
> LinearOperator objects cannot be applied to sparse matrices
> > * `#11723 <https://github.com/scipy/scipy/issues/11723>`__: Monte Carlo
> methods for scipy.integrate
> > * `#11775 <https://github.com/scipy/scipy/issues/11775>`__: Multi xatol
> for Nedler-Mead algorithm
> > * `#11841 <https://github.com/scipy/scipy/issues/11841>`__: Ignore NaN
> with scipy.optimize.curve_fit
> > * `#12114 <https://github.com/scipy/scipy/issues/12114>`__:
> scipy.optimize.shgo(): 'args' is incorrectly passed to constraint...
> > * `#12715 <https://github.com/scipy/scipy/issues/12715>`__: Why the
> covariance from curve_fit depends so sharply on the overall...
> > * `#13122 <https://github.com/scipy/scipy/issues/13122>`__: The test
> suite fails on Python 3.10: issue with factorial() on...
> > * `#13258 <https://github.com/scipy/scipy/issues/13258>`__: \*\*kwargs
> for optimize.root_scalar and alike
> > * `#13407 <https://github.com/scipy/scipy/issues/13407>`__: \`if rtol <
> _rtol / 4\` should be changed?
> > * `#13535 <https://github.com/scipy/scipy/issues/13535>`__:
> Newton-iteration should not be done after secant interpolation
> > * `#13547 <https://github.com/scipy/scipy/issues/13547>`__:
> optimize.shgo: handle objective functions that return the gradient...
> > * `#13554 <https://github.com/scipy/scipy/issues/13554>`__: The correct
> root for test APS13 is 0
> > * `#13757 <https://github.com/scipy/scipy/issues/13757>`__: API for
> representing censored data
> > * `#13974 <https://github.com/scipy/scipy/issues/13974>`__: BUG:
> optimize.shgo: not using options
> > * `#14059 <https://github.com/scipy/scipy/issues/14059>`__: Bound on
> absolute tolerance 'xtol' in 'optimize/zeros.py' is...
> > * `#14262 <https://github.com/scipy/scipy/issues/14262>`__: cython_blas
> does not use const in signatures
> > * `#14414 <https://github.com/scipy/scipy/issues/14414>`__: brentq does
> converge and not raise an error for np.nan functions
> > * `#14486 <https://github.com/scipy/scipy/issues/14486>`__: One bug,
> one mistake and one refactorization proposal for the...
> > * `#14519 <https://github.com/scipy/scipy/issues/14519>`__:
> scipy/stats/tests/test_continuous_basic.py::test_cont_basic[500-200-ncf-arg74]
> test fails with IntegrationWarning
> > * `#14525 <https://github.com/scipy/scipy/issues/14525>`__:
> scipy.signal.bspline does not work for integer types
> > * `#14858 <https://github.com/scipy/scipy/issues/14858>`__: BUG:
> scipy.optimize.bracket sometimes fails silently
> > * `#14901 <https://github.com/scipy/scipy/issues/14901>`__: BUG: stats:
> distribution methods emit unnecessary warnings from...
> > * `#15089 <https://github.com/scipy/scipy/issues/15089>`__: BUG:
> scipy.optimize.minimize() does not report lowest energy...
> > * `#15136 <https://github.com/scipy/scipy/issues/15136>`__: ENH: Bump
> boost.math version
> > * `#15177 <https://github.com/scipy/scipy/issues/15177>`__: BUG:
> element-wise division between sparse matrices and array-likes...
> > * `#15212 <https://github.com/scipy/scipy/issues/15212>`__: BUG: stange
> behavior of scipy.integrate.quad for divergent integrals
> > * `#15514 <https://github.com/scipy/scipy/issues/15514>`__: BUG:
> optimize.shgo: error with vector constraints
> > * `#15600 <https://github.com/scipy/scipy/issues/15600>`__: BUG: handle
> inconsistencies in factorial functions and their...
> > * `#15613 <https://github.com/scipy/scipy/issues/15613>`__: ENH:
> Provide functions to compute log-integrals numerically (e.g.,...
> > * `#15702 <https://github.com/scipy/scipy/issues/15702>`__:
> MAINT:linalg: Either silent import NumPy versions or deprecate...
> > * `#15706 <https://github.com/scipy/scipy/issues/15706>`__: DEP: remove
> deprecated parameters from stats distributions
> > * `#15755 <https://github.com/scipy/scipy/issues/15755>`__: DEP: absorb
> lsim2 into lsim
> > * `#15756 <https://github.com/scipy/scipy/issues/15756>`__: DEP: remove
> non-numeric array support in stats.mode
> > * `#15790 <https://github.com/scipy/scipy/issues/15790>`__: BUG:
> \`isspmatrix\` doesn't account for sparse arrays
> > * `#15808 <https://github.com/scipy/scipy/issues/15808>`__: DEP: raise
> on >1-dim inputs for optimize.minimize
> > * `#15814 <https://github.com/scipy/scipy/issues/15814>`__: CI: move
> Azure jobs to GitHub Actions
> > * `#15818 <https://github.com/scipy/scipy/issues/15818>`__: DEP: remove
> extradoc keyword in _distn_infrastructure
> > * `#15829 <https://github.com/scipy/scipy/issues/15829>`__: DEP: remove
> sym_pos-keyword of scipy.linalg.solve
> > * `#15852 <https://github.com/scipy/scipy/issues/15852>`__: DOC: helper
> function to seed examples
> > * `#15906 <https://github.com/scipy/scipy/issues/15906>`__: Missing
> degree of freedom parameter in return value from \`stats.ttest_ind\`
> > * `#15985 <https://github.com/scipy/scipy/issues/15985>`__: ENH, DOC:
> Add section explaining why and when to use a custom...
> > * `#15988 <https://github.com/scipy/scipy/issues/15988>`__: DEP: remove
> deprecated gilbrat distribution
> > * `#16014 <https://github.com/scipy/scipy/issues/16014>`__: DEP: remove
> MaximumFlowResult.residual
> > * `#16068 <https://github.com/scipy/scipy/issues/16068>`__: BUG:
> Missing Constant in Documentation
> > * `#16079 <https://github.com/scipy/scipy/issues/16079>`__: BUG:
> hypergeom.cdf slower in 1.8.0 than 1.7.3
> > * `#16196 <https://github.com/scipy/scipy/issues/16196>`__: BUG:
> OptimizeResult from optimize.minimize_scalar changes 'x'...
> > * `#16269 <https://github.com/scipy/scipy/issues/16269>`__: DEP: remove
> \`maxiter\` kwarg in \`_minimize_tnc\`
> > * `#16270 <https://github.com/scipy/scipy/issues/16270>`__: DEP: remove
> \`vertices\` kwarg in qhull
> > * `#16271 <https://github.com/scipy/scipy/issues/16271>`__: DEP: remove
> \`scipy.spatial.distance.kulsinski\`
> > * `#16312 <https://github.com/scipy/scipy/issues/16312>`__: Meson
> complains about an absolute include path
> > * `#16322 <https://github.com/scipy/scipy/issues/16322>`__: DOC:
> building on Windows uses GCC with Meson, not MSVC
> > * `#16595 <https://github.com/scipy/scipy/issues/16595>`__: BUG:
> stats.mode emits annoying RuntimeWarning about nans even...
> > * `#16734 <https://github.com/scipy/scipy/issues/16734>`__: BUG:
> function p1evl in povevl.h not making what's described
> > * `#16803 <https://github.com/scipy/scipy/issues/16803>`__: Update
> \`scipy/__config__.py\` to contain useful information
> > * `#16810 <https://github.com/scipy/scipy/issues/16810>`__: ENH:
> implement Dirichlet-multinomial distribution
> > * `#16917 <https://github.com/scipy/scipy/issues/16917>`__: BUG:
> Windows Built SciPy can't import _fblas via pip install...
> > * `#16929 <https://github.com/scipy/scipy/issues/16929>`__: BUG:
> \`scipy.sparse.csc_matrix.argmin\` returns wrong values
> > * `#16949 <https://github.com/scipy/scipy/issues/16949>`__: Test
> failures for \`gges\` and \`qz\` for float32 input in macOS...
> > * `#16971 <https://github.com/scipy/scipy/issues/16971>`__: BUG: [issue
> in scipy.optimize.shgo, for COBYLA's minimizer_kwargs...
> > * `#16998 <https://github.com/scipy/scipy/issues/16998>`__: Unpickled
> and deepcopied distributions do not use global random...
> > * `#17024 <https://github.com/scipy/scipy/issues/17024>`__: ENH: Force
> real part of Rotation.as_quat() to be positive.
> > * `#17107 <https://github.com/scipy/scipy/issues/17107>`__: BUG: The
> signature of cKDTree.query_pairs in the docs does not...
> > * `#17137 <https://github.com/scipy/scipy/issues/17137>`__: BUG:
> optimize: Intermittent failure of \`test_milp_timeout_16545\`
> > * `#17146 <https://github.com/scipy/scipy/issues/17146>`__: BUG: Scipy
> stats probability greater than 1
> > * `#17214 <https://github.com/scipy/scipy/issues/17214>`__: BUG:
> scipy.stats.mode: inconsistent shape with \`axis=None\`...
> > * `#17234 <https://github.com/scipy/scipy/issues/17234>`__: BUG:
> cythonization / compliation failure with development branch...
> > * `#17250 <https://github.com/scipy/scipy/issues/17250>`__: ENH: Expose
> parallel HiGHS solvers in high-level API
> > * `#17281 <https://github.com/scipy/scipy/issues/17281>`__: BUG: using
> LinearOperator as RHS operand of @ causes a NumPy...
> > * `#17285 <https://github.com/scipy/scipy/issues/17285>`__: ENH: Expose
> DisjointSet._sizes
> > * `#17312 <https://github.com/scipy/scipy/issues/17312>`__: ENH:
> Clarify that ndimage.find_objects returns slices ordered...
> > * `#17335 <https://github.com/scipy/scipy/issues/17335>`__: ENH: change
> term zero to root in newton
> > * `#17368 <https://github.com/scipy/scipy/issues/17368>`__: BUG: import
> scipy.stats fails under valgrind
> > * `#17378 <https://github.com/scipy/scipy/issues/17378>`__: griddata
> linear / LinearNDInterpolator unexpected behavior
> > * `#17381 <https://github.com/scipy/scipy/issues/17381>`__: BUG:
> FutureWarning in distance_transform_cdt
> > * `#17388 <https://github.com/scipy/scipy/issues/17388>`__: BUG:
> stats.binom: Boost binomial distribution edge case bug?
> > * `#17403 <https://github.com/scipy/scipy/issues/17403>`__: DOC: There
> is no general \`scipy.sparse\` page in the user guide
> > * `#17431 <https://github.com/scipy/scipy/issues/17431>`__: ENH: ECDF
> in scipy.
> > * `#17456 <https://github.com/scipy/scipy/issues/17456>`__: ENH: custom
> stopping criteria with auxiliary function
> > * `#17516 <https://github.com/scipy/scipy/issues/17516>`__: BUG: Error
> in documentation for scipy.optimize.minimize
> > * `#17532 <https://github.com/scipy/scipy/issues/17532>`__: DOC: side
> bar renders over the top of some of the text in the...
> > * `#17548 <https://github.com/scipy/scipy/issues/17548>`__: CI: The
> Ubuntu 18.04 Actions runner image is deprecated
> > * `#17570 <https://github.com/scipy/scipy/issues/17570>`__: ENH:
> optimize.root_scalar: default to \`newton\` when only \`x0\`...
> > * `#17576 <https://github.com/scipy/scipy/issues/17576>`__: ENH:
> override fit method for von mises
> > * `#17593 <https://github.com/scipy/scipy/issues/17593>`__: BUG: cannot
> import name 'permutation_test' from 'scipy.stats'
> > * `#17604 <https://github.com/scipy/scipy/issues/17604>`__: DOC:
> optimize.curve_fit: documentation of \`fvec\` is not specific
> > * `#17620 <https://github.com/scipy/scipy/issues/17620>`__: ENH:
> Cachable normalisation parameter for frozen distributions
> > * `#17631 <https://github.com/scipy/scipy/issues/17631>`__: BUG:
> numerical issues for cdf/ppf of the betaprime distribution
> > * `#17639 <https://github.com/scipy/scipy/issues/17639>`__: BUG: "xl"
> not returned if success = False for scipy.optimize.shgo
> > * `#17652 <https://github.com/scipy/scipy/issues/17652>`__: Check for
> non-running tests because of test function name and...
> > * `#17667 <https://github.com/scipy/scipy/issues/17667>`__: BUG: Wrong
> p-values with Wilcoxon signed-rank test because of...
> > * `#17683 <https://github.com/scipy/scipy/issues/17683>`__: TST: stats:
> Several functions with no tests in \`stats.mstats\`
> > * `#17713 <https://github.com/scipy/scipy/issues/17713>`__: BUG:
> \`_axis_nan_policy\` changes some common \`TypeError\`s
> > * `#17725 <https://github.com/scipy/scipy/issues/17725>`__: BUG:
> spatial: Bad error message from \`hamming\` when \`w\` has...
> > * `#17749 <https://github.com/scipy/scipy/issues/17749>`__: ENH:
> Compute non centraled moments with \`stats.moment\`?
> > * `#17754 <https://github.com/scipy/scipy/issues/17754>`__: Cosine
> distance of vector to self returns small non-zero answer...
> > * `#17776 <https://github.com/scipy/scipy/issues/17776>`__: BUG:
> dblquad and args kwarg
> > * `#17788 <https://github.com/scipy/scipy/issues/17788>`__: ENH: Scipy
> Optimize, equal Bounds should be directly passed to...
> > * `#17805 <https://github.com/scipy/scipy/issues/17805>`__: BUG: stats:
> dgamma.sf and dgamma.cdf lose precision in the tails
> > * `#17809 <https://github.com/scipy/scipy/issues/17809>`__: BUG: CDF
> and PMF of binomial function not same with extreme values
> > * `#17815 <https://github.com/scipy/scipy/issues/17815>`__: DOC:
> improve documentation for distance_transform_{cdt,edt}
> > * `#17819 <https://github.com/scipy/scipy/issues/17819>`__: BUG:
> \`stats.ttest_ind_from_stats\` doesn't check whether standard...
> > * `#17828 <https://github.com/scipy/scipy/issues/17828>`__: DOC:
> UnivariateSpline does not have any documentation or a reference.
> > * `#17845 <https://github.com/scipy/scipy/issues/17845>`__: BUG: 1.10.0
> FIR Decimation is broken when supplying ftype as...
> > * `#17846 <https://github.com/scipy/scipy/issues/17846>`__: BUG:
> Infinite loop in scipy.integrate.solve_ivp()
> > * `#17860 <https://github.com/scipy/scipy/issues/17860>`__: DOC:
> Incorrect link to ARPACK
> > * `#17866 <https://github.com/scipy/scipy/issues/17866>`__: DOC: Should
> \`Result Classes\` be its own top level section?
> > * `#17911 <https://github.com/scipy/scipy/issues/17911>`__: DOC:
> Formula of Tustin formula in scipy.signal.bilinear misses...
> > * `#17913 <https://github.com/scipy/scipy/issues/17913>`__: Unexpected
> behaviour of pearsonr pvalue for one sided tests
> > * `#17916 <https://github.com/scipy/scipy/issues/17916>`__: BUG: scipy
> 1.10.0 crashes when using a large float in skellam...
> > * `#17941 <https://github.com/scipy/scipy/issues/17941>`__: DOC:
> guidance on setting dev.py build -j flag in documentation,...
> > * `#17954 <https://github.com/scipy/scipy/issues/17954>`__: BUG:
> failure in lobpcg
> > * `#17970 <https://github.com/scipy/scipy/issues/17970>`__: BUG: ILP64
> build issue on Python 3.11
> > * `#17985 <https://github.com/scipy/scipy/issues/17985>`__: DOC: update
> wheel generation process
> > * `#17992 <https://github.com/scipy/scipy/issues/17992>`__: BUG: matlab
> files with deeply lists of arrays with different...
> > * `#17999 <https://github.com/scipy/scipy/issues/17999>`__: DOC:
> incorrect example for stats.cramervonmises
> > * `#18026 <https://github.com/scipy/scipy/issues/18026>`__: BUG: stats:
> Error from e.g. \`stats.betabinom.stats(10, 2, 3,...
> > * `#18067 <https://github.com/scipy/scipy/issues/18067>`__: ENH: stats:
> resampling/Monte Carlo configuration object
> > * `#18069 <https://github.com/scipy/scipy/issues/18069>`__: ENH:
> stats.ttest_ind is inconsistent with R. It does not allow...
> > * `#18071 <https://github.com/scipy/scipy/issues/18071>`__: BUG:
> rv_continuous.stats fails to converge when trying to estimate...
> > * `#18074 <https://github.com/scipy/scipy/issues/18074>`__: BUG: wrong
> dependencies for pooch
> > * `#18078 <https://github.com/scipy/scipy/issues/18078>`__: BUG:
> \`QMCEngine.reset()\` semantics and passed \`Generator\`...
> > * `#18079 <https://github.com/scipy/scipy/issues/18079>`__: BUG:
> \`Halton(seed=rng)\` does not consume \`Generator\` PRNG...
> > * `#18106 <https://github.com/scipy/scipy/issues/18106>`__: BUG:
> Linprog reports failure despite success convergence, given...
> > * `#18115 <https://github.com/scipy/scipy/issues/18115>`__: BUG:
> ValueError: setting an array element with a sequence for...
> > * `#18117 <https://github.com/scipy/scipy/issues/18117>`__: BUG: stats:
> large errors in genhyperbolic.cdf and .sf for large...
> > * `#18119 <https://github.com/scipy/scipy/issues/18119>`__: DOC: The
> comment about \`fmin_powell\` is wrong
> > * `#18123 <https://github.com/scipy/scipy/issues/18123>`__: BUG:
> [mmread] Error while reading mtx file with spaces before...
> > * `#18132 <https://github.com/scipy/scipy/issues/18132>`__: BUG:
> invalid output and behavior of scipy.stats.somersd
> > * `#18139 <https://github.com/scipy/scipy/issues/18139>`__: BUG:
> Overflow in 'new' implementation of scipy.stats.kendalltau
> > * `#18143 <https://github.com/scipy/scipy/issues/18143>`__: Building
> from source on Windows 32-bit Python did not succeed
> > * `#18171 <https://github.com/scipy/scipy/issues/18171>`__: BUG:
> optimize.root_scalar: should return normally with \`converged=False\`...
> > * `#18223 <https://github.com/scipy/scipy/issues/18223>`__: BUG:
> cKDTree segmentation faults when NaN input and balanced_tree=False,...
> > * `#18226 <https://github.com/scipy/scipy/issues/18226>`__: ENH:
> stats.geometric.entropy: implement analytical formula
> > * `#18239 <https://github.com/scipy/scipy/issues/18239>`__: DOC:
> linking to custom BLAS/LAPACK locations is not clear
> > * `#18254 <https://github.com/scipy/scipy/issues/18254>`__: BUG:
> stats.mode: failure with array of Pandas integers
> > * `#18271 <https://github.com/scipy/scipy/issues/18271>`__: Broken or
> wrong formulas on distance definition
> > * `#18272 <https://github.com/scipy/scipy/issues/18272>`__: BUG: stats:
> occasional failure of
> \`test_multivariate.TestOrthoGroup.test_det_and_ortho\`
> > * `#18274 <https://github.com/scipy/scipy/issues/18274>`__: BUG: stats:
> Spurious warnings from \`betaprime.fit\`
> > * `#18282 <https://github.com/scipy/scipy/issues/18282>`__:
> Incompatible pointer warning from \`stats._rcond\`
> > * `#18302 <https://github.com/scipy/scipy/issues/18302>`__: BUG:
> beta.pdf is broken on main (1.11.0.dev0)
> > * `#18322 <https://github.com/scipy/scipy/issues/18322>`__: BUG:
> scipy.stats.shapiro gives a negative pvalue
> > * `#18326 <https://github.com/scipy/scipy/issues/18326>`__: ENH: milp
> supporting sparse inputs
> > * `#18329 <https://github.com/scipy/scipy/issues/18329>`__: BUG: meson
> generates \`warning: "MS_WIN64" redefined\` when building...
> > * `#18368 <https://github.com/scipy/scipy/issues/18368>`__: DOC: Issue
> in scipy.stats.chisquare
> > * `#18377 <https://github.com/scipy/scipy/issues/18377>`__: BUG:
> \`const\` signature changes in \`cython_blas\` and \`cython_lapack\`...
> > * `#18388 <https://github.com/scipy/scipy/issues/18388>`__: Question
> about usage of _MACHEPS
> > * `#18407 <https://github.com/scipy/scipy/issues/18407>`__: CI:
> test_enzo_example_c_with_unboundedness started failing
> > * `#18415 <https://github.com/scipy/scipy/issues/18415>`__: BUG:
> Windows compilation error with Intel Fortran in PROPACK
> > * `#18425 <https://github.com/scipy/scipy/issues/18425>`__: DOC:
> clarify that scipy.ndimage.sobel does not compute the 2D...
> > * `#18443 <https://github.com/scipy/scipy/issues/18443>`__: BLD: errors
> when building SciPy on Windows with Meson
> > * `#18456 <https://github.com/scipy/scipy/issues/18456>`__: ENH: Allow
> passing non-varying arguments for the model function...
> > * `#18484 <https://github.com/scipy/scipy/issues/18484>`__: DEP: Warn
> on deprecated windows-import in base \`scipy.signal\`...
> > * `#18485 <https://github.com/scipy/scipy/issues/18485>`__: DEP:
> deprecate multiple-ellipsis handling in sparse matrix indexing
> > * `#18494 <https://github.com/scipy/scipy/issues/18494>`__: CI:
> occasional failure of \`test_minimum_spanning_tree\`
> > * `#18497 <https://github.com/scipy/scipy/issues/18497>`__: MAINT, BUG:
> guard against non-finite kd-tree queries
> > * `#18498 <https://github.com/scipy/scipy/issues/18498>`__: TST:
> interpolate overflow xslow tests (low priority)
> > * `#18525 <https://github.com/scipy/scipy/issues/18525>`__: DOC: sparse
> doc build warning causing failure (including in CI)
> > * `#18535 <https://github.com/scipy/scipy/issues/18535>`__: DOC: Dev
> branch docs render Dev TOC while viewing API Reference
> > * `#18547 <https://github.com/scipy/scipy/issues/18547>`__: CI:
> occasionally failing test \`test_minimize_callback_copies_array[fmin]\`
> > * `#18595 <https://github.com/scipy/scipy/issues/18595>`__: BUG: dev.py
> notes needs a small shim
> > * `#18597 <https://github.com/scipy/scipy/issues/18597>`__: CI, BUG:
> Cirrus wheel upload fails on maintenance branch
> > * `#18600 <https://github.com/scipy/scipy/issues/18600>`__: BUG: SciPy
> 1.11.0rc1 not buildable on PPC due to boost submodule
> > * `#18632 <https://github.com/scipy/scipy/issues/18632>`__: 1.11.0rc1:
> remaining test failures in conda-forge
> > * `#18634 <https://github.com/scipy/scipy/issues/18634>`__: BUG:
> stats.truncnorm.moments yields error for moment order greater...
> > * `#18654 <https://github.com/scipy/scipy/issues/18654>`__: BUG:
> ci/circleci: build_scipy broken
> > * `#18675 <https://github.com/scipy/scipy/issues/18675>`__: BUG:
> \`signal.detrend\` on main no longer accepts a sequence...
> > * `#18732 <https://github.com/scipy/scipy/issues/18732>`__: TST, MAINT:
> some tests blocking 1.11.0 on MacOS ARM64 with NumPy...
> >
> > ************************
> > Pull requests for 1.11.0
> > ************************
> >
> > * `#8727 <https://github.com/scipy/scipy/pull/8727>`__: BUG:
> vq.kmeans() compares signed diff to a threshold.
> > * `#12787 <https://github.com/scipy/scipy/pull/12787>`__: ENH: add
> anderson darling test for weibull #10829
> > * `#13699 <https://github.com/scipy/scipy/pull/13699>`__: ENH: stats:
> Add handling of censored data to univariate cont....
> > * `#14069 <https://github.com/scipy/scipy/pull/14069>`__: Use warnings
> instead of print statements
> > * `#15073 <https://github.com/scipy/scipy/pull/15073>`__: TST/MAINT:
> Parametrize \`_METRICS_NAMES\` & replace \`assert_raises\`...
> > * `#15841 <https://github.com/scipy/scipy/pull/15841>`__: Overhaul
> \`factorial{,2,k}\`: API coherence, bug fixes & consistent...
> > * `#15873 <https://github.com/scipy/scipy/pull/15873>`__: DEP: remove
> sym_pos argument from linalg.solve
> > * `#15877 <https://github.com/scipy/scipy/pull/15877>`__: DEP: remove
> extradoc in _distn_infrastructure
> > * `#15929 <https://github.com/scipy/scipy/pull/15929>`__: DEP:
> \`lsim2\` deprecated in favor of \`lsim\`
> > * `#15958 <https://github.com/scipy/scipy/pull/15958>`__: CI: move
> \`prerelease_deps_coverage_64bit_blas\` to GitHub actions.
> > * `#16071 <https://github.com/scipy/scipy/pull/16071>`__: ENH: Add
> missing "characteristic impedance of vacuum"
> > * `#16313 <https://github.com/scipy/scipy/pull/16313>`__: MAINT: Update
> optimize.shgo
> > * `#16782 <https://github.com/scipy/scipy/pull/16782>`__: ENH: stats:
> optimised fit for the truncated Pareto distribution
> > * `#16839 <https://github.com/scipy/scipy/pull/16839>`__: ENH: stats:
> optimised MLE for the lognormal distribution
> > * `#16936 <https://github.com/scipy/scipy/pull/16936>`__: BUG: sparse:
> fix argmin/argmax when all entries are nonzero
> > * `#16961 <https://github.com/scipy/scipy/pull/16961>`__: ENH:
> optimize: Add \`nan_policy\` optional argument for \`curve_fit\`.
> > * `#16996 <https://github.com/scipy/scipy/pull/16996>`__: ENH:
> stats.anderson_ksamp: add permutation version of test
> > * `#17116 <https://github.com/scipy/scipy/pull/17116>`__: MAINT: Adjust
> Pull-Request labeler configuration
> > * `#17208 <https://github.com/scipy/scipy/pull/17208>`__: DOC: Add
> triage guide
> > * `#17211 <https://github.com/scipy/scipy/pull/17211>`__: ENH:
> Implemented Dirichlet-multinomial distribution (#16810)
> > * `#17212 <https://github.com/scipy/scipy/pull/17212>`__: Guard against
> integer overflows in fitpackmodule.c
> > * `#17235 <https://github.com/scipy/scipy/pull/17235>`__: MAINT: pass
> check_finite to the vq() call of kmeans2()
> > * `#17267 <https://github.com/scipy/scipy/pull/17267>`__: DOC/MAINT:
> special: Several updates for tklmbda
> > * `#17268 <https://github.com/scipy/scipy/pull/17268>`__: DOC: special:
> Show that lambertw can solve x = a + b\*exp(c\*x)
> > * `#17287 <https://github.com/scipy/scipy/pull/17287>`__: DOC: Clarify
> minimum_spanning_tree behavior in non-connected...
> > * `#17310 <https://github.com/scipy/scipy/pull/17310>`__: DOC:
> missing-bits: document recommendations on return object...
> > * `#17322 <https://github.com/scipy/scipy/pull/17322>`__: DOC: Add
> notebook infrastructure for the docs
> > * `#17326 <https://github.com/scipy/scipy/pull/17326>`__: ENH: Clarify
> the index of element corresponding to a label in...
> > * `#17334 <https://github.com/scipy/scipy/pull/17334>`__: ENH: Map the
> rotation quaternion double cover of rotation space...
> > * `#17402 <https://github.com/scipy/scipy/pull/17402>`__: ENH: stats:
> add false discovery rate control function
> > * `#17410 <https://github.com/scipy/scipy/pull/17410>`__: ENH:
> stats.multivariate_t: add cdf method
> > * `#17432 <https://github.com/scipy/scipy/pull/17432>`__: BLD:
> Boost.Math standalone submodule
> > * `#17451 <https://github.com/scipy/scipy/pull/17451>`__: DEP: Remove
> \`vertices\` in qhull.
> > * `#17455 <https://github.com/scipy/scipy/pull/17455>`__: Deprecate
> scipy.signal.{bspline, quadratic, cubic}
> > * `#17479 <https://github.com/scipy/scipy/pull/17479>`__: ENH: Add new
> SI prefixes
> > * `#17480 <https://github.com/scipy/scipy/pull/17480>`__: ENH: stats:
> Implement _sf and _isf for halfnorm, gibrat, gompertz.
> > * `#17483 <https://github.com/scipy/scipy/pull/17483>`__: MAINT:
> optimize.basinhopping: fix acceptance of failed local...
> > * `#17486 <https://github.com/scipy/scipy/pull/17486>`__: ENH:
> optimize.minimize: callback enhancements
> > * `#17499 <https://github.com/scipy/scipy/pull/17499>`__: MAINT: remove
> use of \`NPY_UPDATEIFCOPY\`
> > * `#17505 <https://github.com/scipy/scipy/pull/17505>`__: ENH: Add
> relativistic Breit-Wigner Distribution
> > * `#17529 <https://github.com/scipy/scipy/pull/17529>`__: ENH: stats:
> Implement powerlaw._sf
> > * `#17531 <https://github.com/scipy/scipy/pull/17531>`__: TST:
> scipy.signal.order_filter: add test coverage
> > * `#17535 <https://github.com/scipy/scipy/pull/17535>`__: MAINT:
> special: Improve comments about Cephes p1evl function.
> > * `#17538 <https://github.com/scipy/scipy/pull/17538>`__: ENH:
> Extending _distance_pybind with additional distance metrics...
> > * `#17541 <https://github.com/scipy/scipy/pull/17541>`__: REL: set
> version to 1.11.0.dev0
> > * `#17553 <https://github.com/scipy/scipy/pull/17553>`__: DOC:
> optimize.curve_fit: add note about \`pcov\` condition number
> > * `#17555 <https://github.com/scipy/scipy/pull/17555>`__: DEP: stats:
> removal of kwargs n in stats.moment and alpha in...
> > * `#17556 <https://github.com/scipy/scipy/pull/17556>`__: DEV: bump
> flake8 version used in CI job
> > * `#17557 <https://github.com/scipy/scipy/pull/17557>`__: MAINT: bump
> Ubuntu version in Azure CI
> > * `#17561 <https://github.com/scipy/scipy/pull/17561>`__: MAINT:
> stats.mode: remove deprecated features, smooth edges
> > * `#17562 <https://github.com/scipy/scipy/pull/17562>`__: ENH: stats:
> Implement _ppf for the betaprime distribution.
> > * `#17563 <https://github.com/scipy/scipy/pull/17563>`__: DEP: stats:
> remove misspelt gilbrat distribution
> > * `#17566 <https://github.com/scipy/scipy/pull/17566>`__: DOC: correct,
> update, and extend \`lobpcg\` docstring info and...
> > * `#17567 <https://github.com/scipy/scipy/pull/17567>`__: MAINT: Update
> gitpod setup
> > * `#17573 <https://github.com/scipy/scipy/pull/17573>`__: DOC: Update
> testing documentation to dev.py
> > * `#17574 <https://github.com/scipy/scipy/pull/17574>`__: MAINT: clean
> up \`NPY_OLD\` usage in Cython code and build files
> > * `#17581 <https://github.com/scipy/scipy/pull/17581>`__: DOC fix
> trivial typo in description of loggamma in _add_newdocs.py
> > * `#17585 <https://github.com/scipy/scipy/pull/17585>`__: ENH: Von
> Mises distribution fit
> > * `#17587 <https://github.com/scipy/scipy/pull/17587>`__: BUG: stats:
> Avoid overflow/underflow issues in loggamma _cdf,...
> > * `#17589 <https://github.com/scipy/scipy/pull/17589>`__: BUG:
> FutureWarning in distance_transform_cdt
> > * `#17590 <https://github.com/scipy/scipy/pull/17590>`__: DEP: raise on
> >1-dim inputs for optimize.minimize
> > * `#17595 <https://github.com/scipy/scipy/pull/17595>`__: DOC:
> optimize.line_search: note that \`pk\` must be a descent...
> > * `#17597 <https://github.com/scipy/scipy/pull/17597>`__: DOC: Add
> Legacy directive
> > * `#17603 <https://github.com/scipy/scipy/pull/17603>`__: DEP: remove
> spatial.distance.kulsinski
> > * `#17605 <https://github.com/scipy/scipy/pull/17605>`__: DOC: example
> of epidemic model with LHS
> > * `#17608 <https://github.com/scipy/scipy/pull/17608>`__: DOC:
> curve_fit - clarify fvec output
> > * `#17610 <https://github.com/scipy/scipy/pull/17610>`__: DOC: add
> example to chi2_contingency
> > * `#17613 <https://github.com/scipy/scipy/pull/17613>`__: DOC:
> curve_fit, include sigma
> > * `#17615 <https://github.com/scipy/scipy/pull/17615>`__: MAINT:
> scipy.optimize.root: fix error when both args and jac...
> > * `#17616 <https://github.com/scipy/scipy/pull/17616>`__: MAINT:
> optimize.minimize: enhance \`callback\` for remaining...
> > * `#17617 <https://github.com/scipy/scipy/pull/17617>`__: DEP: remove
> MaximumFlowResult.residual
> > * `#17618 <https://github.com/scipy/scipy/pull/17618>`__: DOC: fix
> unicode in qmc example
> > * `#17622 <https://github.com/scipy/scipy/pull/17622>`__: MAINT:
> optimize.root_scalar: raise when NaN is encountered
> > * `#17624 <https://github.com/scipy/scipy/pull/17624>`__: ENH: add von
> Mises-Fisher distribution
> > * `#17625 <https://github.com/scipy/scipy/pull/17625>`__: DOC: Examples
> for special functions related to the student t...
> > * `#17626 <https://github.com/scipy/scipy/pull/17626>`__: DOC: improve
> docstrings of exp. scaled Bessel functions
> > * `#17628 <https://github.com/scipy/scipy/pull/17628>`__: ENH: add
> Sobol' indices
> > * `#17629 <https://github.com/scipy/scipy/pull/17629>`__: DOC: stats:
> example treatment odd_ratio
> > * `#17637 <https://github.com/scipy/scipy/pull/17637>`__: DEP: switch
> default of special.comb to legacy=False
> > * `#17643 <https://github.com/scipy/scipy/pull/17643>`__: TST:
> interpolate/rgi: Add tests for descending ordered points
> > * `#17649 <https://github.com/scipy/scipy/pull/17649>`__: fix
> documentation lines
> > * `#17651 <https://github.com/scipy/scipy/pull/17651>`__: Update
> _svds.py removing no longer necessary QR for LOBPCG output
> > * `#17654 <https://github.com/scipy/scipy/pull/17654>`__:
> MAINT:interpolate:Add .c file to .gitignore
> > * `#17655 <https://github.com/scipy/scipy/pull/17655>`__: DEV: add
> check for misnamed tests
> > * `#17657 <https://github.com/scipy/scipy/pull/17657>`__: DEV:
> streamline OpenBLAS handling on Win machine
> > * `#17660 <https://github.com/scipy/scipy/pull/17660>`__: MAINT:
> optimize.newton: converged=False when secant has zero...
> > * `#17663 <https://github.com/scipy/scipy/pull/17663>`__: DOC:
> optimize.curve_fit: example output may vary
> > * `#17664 <https://github.com/scipy/scipy/pull/17664>`__: MAINT:
> optimize.root_scalar: fix underflow sign check bug
> > * `#17665 <https://github.com/scipy/scipy/pull/17665>`__: DOC: mention
> inaccuracy of curve_fit result \`pcov\`
> > * `#17666 <https://github.com/scipy/scipy/pull/17666>`__: DOC:
> optimize.root_scalar: harmonize documentation and implementation...
> > * `#17668 <https://github.com/scipy/scipy/pull/17668>`__: ENH:
> stats.loguniform: reformulate methods to avoid overflow
> > * `#17669 <https://github.com/scipy/scipy/pull/17669>`__: MAINT:
> optimize.newton: avoid error with complex \`x0\`
> > * `#17674 <https://github.com/scipy/scipy/pull/17674>`__: DOC:
> optimize: add tutorial example of passing kwargs to callable
> > * `#17675 <https://github.com/scipy/scipy/pull/17675>`__: ENH: update
> lobpcg.py
> > * `#17676 <https://github.com/scipy/scipy/pull/17676>`__: BUG:
> correctly handle array-like types in scipy.io.savemat
> > * `#17678 <https://github.com/scipy/scipy/pull/17678>`__: DOC:
> optimize: show how memoization avoids duplicating work
> > * `#17679 <https://github.com/scipy/scipy/pull/17679>`__: ENH:
> optimize.minimize: add bound constraints to COBYLA
> > * `#17680 <https://github.com/scipy/scipy/pull/17680>`__: DOC: examples
> for special functions related to neg. binomial...
> > * `#17682 <https://github.com/scipy/scipy/pull/17682>`__: DOC: add real
> example for \`stats.chisquare\`
> > * `#17684 <https://github.com/scipy/scipy/pull/17684>`__: ENH: support
> \`Bounds\` class in lsq_linear
> > * `#17685 <https://github.com/scipy/scipy/pull/17685>`__: ENH: stats:
> Implement _sf for the foldnorm distribution.
> > * `#17687 <https://github.com/scipy/scipy/pull/17687>`__: MAINT:
> optimize.toms748: correct "rtol too small" message
> > * `#17688 <https://github.com/scipy/scipy/pull/17688>`__: MAINT:
> optimize.curve_fit: memoize \`f\` and \`jac\`
> > * `#17691 <https://github.com/scipy/scipy/pull/17691>`__: ENH:
> optimize.root_scalar: allow newton without f', secant without...
> > * `#17692 <https://github.com/scipy/scipy/pull/17692>`__: MAINT:
> optimize.minimize_scalar: enforce output shape consistency
> > * `#17693 <https://github.com/scipy/scipy/pull/17693>`__: DOC:
> pointbiserialr correlation formula notation fix.
> > * `#17694 <https://github.com/scipy/scipy/pull/17694>`__: ENH: stats:
> Implement _sf and _isf for halfcauchy; _sf for foldcauchy
> > * `#17698 <https://github.com/scipy/scipy/pull/17698>`__: MAINT:
> implicit float conversion in rgi test
> > * `#17700 <https://github.com/scipy/scipy/pull/17700>`__: ENH: Inverse
> wishart entropy
> > * `#17701 <https://github.com/scipy/scipy/pull/17701>`__: DOC: stats:
> Fix a reference for the genexpon distribution.
> > * `#17702 <https://github.com/scipy/scipy/pull/17702>`__: DOC: stats:
> complete references and links for descriptive stats
> > * `#17704 <https://github.com/scipy/scipy/pull/17704>`__: MAINT:
> optimize.bracket: don't fail silently
> > * `#17705 <https://github.com/scipy/scipy/pull/17705>`__: DOC:
> optimize.minimize_scalar and friends: correct documentation...
> > * `#17707 <https://github.com/scipy/scipy/pull/17707>`__: DOC: add
> acetazolamide example to \`stats.fisher_exact\`
> > * `#17708 <https://github.com/scipy/scipy/pull/17708>`__: ENH: stats:
> Implement _ppf and _isf for genexpon.
> > * `#17709 <https://github.com/scipy/scipy/pull/17709>`__: MAINT: update
> copyright date
> > * `#17711 <https://github.com/scipy/scipy/pull/17711>`__: MAINT:
> forward port 1.10.0 relnotes
> > * `#17714 <https://github.com/scipy/scipy/pull/17714>`__: ENH: Provide
> public API for fast DisjointSet subset size.
> > * `#17724 <https://github.com/scipy/scipy/pull/17724>`__: DOC: spatial:
> Several updates:
> > * `#17729 <https://github.com/scipy/scipy/pull/17729>`__: STY: fix
> unicode error
> > * `#17730 <https://github.com/scipy/scipy/pull/17730>`__: MAINT: rotate
> CircleCI ssh key
> > * `#17732 <https://github.com/scipy/scipy/pull/17732>`__: MAINT:
> optimize.toms748: don't do newton after secant interpolation
> > * `#17742 <https://github.com/scipy/scipy/pull/17742>`__: ENH: override
> _entropy for beta, chi and chi2 distributions
> > * `#17747 <https://github.com/scipy/scipy/pull/17747>`__: DOC:
> stats.jarque_bera: add semi-realistic example
> > * `#17750 <https://github.com/scipy/scipy/pull/17750>`__: ENH: Support
> multinomial distributions with n=0 trials.
> > * `#17758 <https://github.com/scipy/scipy/pull/17758>`__: ENH:
> analytical formula for f distribution entropy
> > * `#17759 <https://github.com/scipy/scipy/pull/17759>`__: DOC:
> stats.skewtest: add semi-realistic example
> > * `#17762 <https://github.com/scipy/scipy/pull/17762>`__: DOC: remove
> space between directive name and double colon ``::``
> > * `#17763 <https://github.com/scipy/scipy/pull/17763>`__: DOC: single
> -> double colon for directive.
> > * `#17764 <https://github.com/scipy/scipy/pull/17764>`__: ENH: entropy
> for matrix normal distribution
> > * `#17765 <https://github.com/scipy/scipy/pull/17765>`__: DOC: stats:
> additional normality test examples
> > * `#17767 <https://github.com/scipy/scipy/pull/17767>`__: DOC: stats:
> reorganize hypothesis tests in main page
> > * `#17768 <https://github.com/scipy/scipy/pull/17768>`__: TST: special:
> fix incorrectly named tests
> > * `#17769 <https://github.com/scipy/scipy/pull/17769>`__: DOC/BUG: add
> missing entropy methods in docstrings
> > * `#17770 <https://github.com/scipy/scipy/pull/17770>`__: TST: stats:
> fixed misnamed tests
> > * `#17772 <https://github.com/scipy/scipy/pull/17772>`__: MAINT: remove
> unused test utility functions
> > * `#17773 <https://github.com/scipy/scipy/pull/17773>`__: DOC: stats:
> add realistic examples to correlation tests
> > * `#17778 <https://github.com/scipy/scipy/pull/17778>`__: DOC: stats:
> add realistic examples to variance tests
> > * `#17780 <https://github.com/scipy/scipy/pull/17780>`__: MAINT:
> optimize.minimize: fix new callback interface when parameter...
> > * `#17784 <https://github.com/scipy/scipy/pull/17784>`__: DOC: linalg:
> fix docstring of \`linalg.sqrtm\`
> > * `#17786 <https://github.com/scipy/scipy/pull/17786>`__: DOC: examples
> for ndtr, ndtri
> > * `#17791 <https://github.com/scipy/scipy/pull/17791>`__: DEP: remove
> maxiter kwarg in _minimize_tnc
> > * `#17793 <https://github.com/scipy/scipy/pull/17793>`__: MAINT: remove
> divide by zero in differential_evolution
> > * `#17794 <https://github.com/scipy/scipy/pull/17794>`__: TST: Added
> test suite for dgamma distribution
> > * `#17812 <https://github.com/scipy/scipy/pull/17812>`__: MAINT: add
> (optional) pre-commit hook
> > * `#17813 <https://github.com/scipy/scipy/pull/17813>`__: MAINT:
> integrate.qmc_quad: re-introduce qmc_quad
> > * `#17816 <https://github.com/scipy/scipy/pull/17816>`__: MAINT: allow
> typed method in \`stats.sobol_indices\`
> > * `#17817 <https://github.com/scipy/scipy/pull/17817>`__: MAINT: remove
> unused args parameter from \`qmc_quad\`
> > * `#17818 <https://github.com/scipy/scipy/pull/17818>`__: BUG/ENH:
> stats: several updates for dgamma.
> > * `#17820 <https://github.com/scipy/scipy/pull/17820>`__: DOC/BUG: plot
> \`ndtri\` only where it is defined
> > * `#17824 <https://github.com/scipy/scipy/pull/17824>`__: ENH:
> analytical entropy for invgauss distribution
> > * `#17825 <https://github.com/scipy/scipy/pull/17825>`__: DOC:
> optimize: change term zero to root
> > * `#17829 <https://github.com/scipy/scipy/pull/17829>`__: DOC: stats:
> document RNG behavior when distribution is deepcopied
> > * `#17830 <https://github.com/scipy/scipy/pull/17830>`__: MAINT:
> stats._axis_nan_policy: raise appropriate TypeErrors
> > * `#17834 <https://github.com/scipy/scipy/pull/17834>`__: MAINT:
> improve accuracy of betaprime cdf in scipy.stats
> > * `#17835 <https://github.com/scipy/scipy/pull/17835>`__: DOC:
> integrate: document limitation of numerical integration
> > * `#17836 <https://github.com/scipy/scipy/pull/17836>`__: DOC:
> integrate.solve_ivp: clarify impact of parameter \`vectorized\`
> > * `#17837 <https://github.com/scipy/scipy/pull/17837>`__: DEP:
> integrate.nquad: deprecate parameter \`full_output\`
> > * `#17838 <https://github.com/scipy/scipy/pull/17838>`__: DOC:
> integrate.quad: behavior is not guaranteed for divergent...
> > * `#17841 <https://github.com/scipy/scipy/pull/17841>`__: DOC: linalg:
> expand pinv example
> > * `#17842 <https://github.com/scipy/scipy/pull/17842>`__: DOC, MAINT:
> Add issue template for Documentation issues
> > * `#17848 <https://github.com/scipy/scipy/pull/17848>`__: ENH:
> implement _sf and _isf for powernorm distribution
> > * `#17849 <https://github.com/scipy/scipy/pull/17849>`__: ENH: special:
> Add the function _scaled_exp1
> > * `#17852 <https://github.com/scipy/scipy/pull/17852>`__: MAINT:
> optimize: improve \`optimize.curve_fit\` doc and error...
> > * `#17853 <https://github.com/scipy/scipy/pull/17853>`__: DOC:
> integrate.dblquad/tplquad: update result descriptions
> > * `#17857 <https://github.com/scipy/scipy/pull/17857>`__: MAINT:
> analytical formula for genlogistic entropy
> > * `#17865 <https://github.com/scipy/scipy/pull/17865>`__: MAINT: stats:
> fix recent CI and other issues
> > * `#17867 <https://github.com/scipy/scipy/pull/17867>`__: DOC: note on
> negative variables for linprog
> > * `#17868 <https://github.com/scipy/scipy/pull/17868>`__: ENH: add
> analytical formula for Nakagami distribution entropy
> > * `#17873 <https://github.com/scipy/scipy/pull/17873>`__: ENH: Added
> analytical formula for dgamma distribution entropy...
> > * `#17874 <https://github.com/scipy/scipy/pull/17874>`__: ENH: Added
> analytical formula for truncnorm entropy (#17748)
> > * `#17876 <https://github.com/scipy/scipy/pull/17876>`__: DOC: remove
> hidden stats sections from sidebar/toctree
> > * `#17878 <https://github.com/scipy/scipy/pull/17878>`__: Lint
> everything
> > * `#17879 <https://github.com/scipy/scipy/pull/17879>`__: DOC: add docs
> for the main namespace
> > * `#17881 <https://github.com/scipy/scipy/pull/17881>`__: BUG: Fix
> handling on user-supplied filters in \`signal.decimate\`
> > * `#17882 <https://github.com/scipy/scipy/pull/17882>`__: BLD: fix
> Meson build warnings about multiple targets
> > * `#17883 <https://github.com/scipy/scipy/pull/17883>`__: DOC:
> Clarified the meaning of optional arguments in optimize.leastsq
> > * `#17886 <https://github.com/scipy/scipy/pull/17886>`__: ENH: Warn
> about missing boundary when NOLA condition failed in...
> > * `#17889 <https://github.com/scipy/scipy/pull/17889>`__: DOC: Cleanup
> development guide
> > * `#17892 <https://github.com/scipy/scipy/pull/17892>`__: MAINT: stats:
> Post-"lint everything" clean up in stats.
> > * `#17894 <https://github.com/scipy/scipy/pull/17894>`__: MAINT: update
> .gitignore with meson and linter
> > * `#17895 <https://github.com/scipy/scipy/pull/17895>`__: DOC: config
> info in issue template
> > * `#17897 <https://github.com/scipy/scipy/pull/17897>`__: MAINT: Update
> the "lint everything" SHA in .git-blame-ignore-revs
> > * `#17898 <https://github.com/scipy/scipy/pull/17898>`__: DOC: remove
> hidden submodules from sidebar
> > * `#17899 <https://github.com/scipy/scipy/pull/17899>`__: MAINT: use
> conda for linters
> > * `#17900 <https://github.com/scipy/scipy/pull/17900>`__: Re-implement
> pre-commit hook in Python
> > * `#17906 <https://github.com/scipy/scipy/pull/17906>`__: DOC:
> interpolate: add a note against using triangulation based...
> > * `#17907 <https://github.com/scipy/scipy/pull/17907>`__: DOC:
> stats.wilcoxon: warn about roundoff errors in x-y
> > * `#17908 <https://github.com/scipy/scipy/pull/17908>`__: ENH:
> powerlognormal distribution improvements
> > * `#17909 <https://github.com/scipy/scipy/pull/17909>`__: ENH: improve
> accuracy of betaprime ppf in scipy.stats
> > * `#17915 <https://github.com/scipy/scipy/pull/17915>`__: DOC: Add
> warning to butter function docstring
> > * `#17921 <https://github.com/scipy/scipy/pull/17921>`__: CI: clean
> conda index upon cache invalidation
> > * `#17922 <https://github.com/scipy/scipy/pull/17922>`__: DOC:
> corrected doc of bilinear discretization of lti
> > * `#17929 <https://github.com/scipy/scipy/pull/17929>`__: ENH:
> stats.nakagami.entropy: improve formulation
> > * `#17930 <https://github.com/scipy/scipy/pull/17930>`__: ENH: use
> asymptotic expansions for entropy of \`genlogistic\`...
> > * `#17937 <https://github.com/scipy/scipy/pull/17937>`__: DOC: Update
> pip + venv instructions in the contributor documentation...
> > * `#17939 <https://github.com/scipy/scipy/pull/17939>`__: DOC:
> ttest_ind_from_stats: discuss negative stdev
> > * `#17943 <https://github.com/scipy/scipy/pull/17943>`__: ENH: early
> exit random-cd optimization in 1D
> > * `#17944 <https://github.com/scipy/scipy/pull/17944>`__: pre-commit
> should fail when fixes are made by Ruff
> > * `#17945 <https://github.com/scipy/scipy/pull/17945>`__: DOC: remove
> seed in HTML only
> > * `#17946 <https://github.com/scipy/scipy/pull/17946>`__: ENH: Maxwell
> distribution \`sf\`/\`isf\` override
> > * `#17947 <https://github.com/scipy/scipy/pull/17947>`__: TST: Update
> list of modules for import cycle checks
> > * `#17948 <https://github.com/scipy/scipy/pull/17948>`__: STY: fix only
> staged files.
> > * `#17949 <https://github.com/scipy/scipy/pull/17949>`__: ENH:
> stats.dirichlet_multinomial: vectorize implementation
> > * `#17950 <https://github.com/scipy/scipy/pull/17950>`__: MAINT: bump
> OpenBLAS version, bump macOS image used in GHA
> > * `#17956 <https://github.com/scipy/scipy/pull/17956>`__: MAINT:
> optimize.dual_annealing: fix callable jac with args
> > * `#17959 <https://github.com/scipy/scipy/pull/17959>`__: MAINT: update
> supported versions of Python and NumPy to follow...
> > * `#17961 <https://github.com/scipy/scipy/pull/17961>`__: ENH:
> optimize.linprog: pass unrecognized options to HiGHS verbatim
> > * `#17964 <https://github.com/scipy/scipy/pull/17964>`__: DEP:
> integrate.quad_vec: deprecate parameter full_output
> > * `#17967 <https://github.com/scipy/scipy/pull/17967>`__: MAINT: Fully
> qualify std::move invocations to fix clang -Wunqualified-std-cast-call
> > * `#17971 <https://github.com/scipy/scipy/pull/17971>`__: ENH: stats:
> add axis tuple and nan_policy to \`sem\` and \`iqr\`
> > * `#17975 <https://github.com/scipy/scipy/pull/17975>`__: BUG: Update
> test_lobpcg.py
> > * `#17976 <https://github.com/scipy/scipy/pull/17976>`__: DOC/MAINT:
> simplify release entries
> > * `#17980 <https://github.com/scipy/scipy/pull/17980>`__: FIX: CI:
> avoid passing Cython files to ruff
> > * `#17982 <https://github.com/scipy/scipy/pull/17982>`__: MAINT: add
> release entries move to blame ignore
> > * `#17987 <https://github.com/scipy/scipy/pull/17987>`__: DOC: move
> .rst.txt to source and cleaning around generating doc
> > * `#17989 <https://github.com/scipy/scipy/pull/17989>`__: MAINT:
> sparse.linalg: remove unused __main__ code
> > * `#17990 <https://github.com/scipy/scipy/pull/17990>`__: BLD: make
> musllinux wheels for nightly
> > * `#17998 <https://github.com/scipy/scipy/pull/17998>`__: ENH:
> optimize.RootResults: make \`RootResults\` an \`OptimizeResult\`
> > * `#18000 <https://github.com/scipy/scipy/pull/18000>`__: DOC: stats,
> interpolate: Fix some minor docstring issues.
> > * `#18002 <https://github.com/scipy/scipy/pull/18002>`__: ENH: override
> halflogistic \`sf\` and \`isf\`
> > * `#18003 <https://github.com/scipy/scipy/pull/18003>`__: ENH: improve
> halfnorm CDF precision
> > * `#18006 <https://github.com/scipy/scipy/pull/18006>`__: BLD: use a
> relative path to numpy include and library directories
> > * `#18008 <https://github.com/scipy/scipy/pull/18008>`__: MAINT:
> forward port 1.10.1 relnotes
> > * `#18013 <https://github.com/scipy/scipy/pull/18013>`__: MAINT:
> stats.vonmises.fit: maintain backward compatibility
> > * `#18015 <https://github.com/scipy/scipy/pull/18015>`__: TST:
> optimize.root_scalar: refactor tests and add Chandrupatla...
> > * `#18016 <https://github.com/scipy/scipy/pull/18016>`__: Add axes
> argument to ndimage filters
> > * `#18018 <https://github.com/scipy/scipy/pull/18018>`__: DOC: Add an
> example showing how to plot Rotations to the docs
> > * `#18019 <https://github.com/scipy/scipy/pull/18019>`__: add tests for
> \`trimmed_var\` and \`trimmed_std\` in \`stats.mstats\`
> > * `#18020 <https://github.com/scipy/scipy/pull/18020>`__: TST:
> stats.mstats: add \`median_cihs\`/\`sen_seasonal_slopes\`...
> > * `#18021 <https://github.com/scipy/scipy/pull/18021>`__: DEP: linalg:
> deprecate tri{,u,l}
> > * `#18022 <https://github.com/scipy/scipy/pull/18022>`__: DOC:
> interpolate: link to the gist with the porting guide
> > * `#18023 <https://github.com/scipy/scipy/pull/18023>`__: DOC: how to
> document examples using RNG and also self-contained...
> > * `#18027 <https://github.com/scipy/scipy/pull/18027>`__: DOC: fix
> section title typo in interpolation tutorial
> > * `#18028 <https://github.com/scipy/scipy/pull/18028>`__: DOC: fix
> underlying of title in extrapolate
> > * `#18029 <https://github.com/scipy/scipy/pull/18029>`__: fix error
> from betabinom stats using only integers for a and...
> > * `#18032 <https://github.com/scipy/scipy/pull/18032>`__: BLD: add
> NDEBUG flag for release builds
> > * `#18034 <https://github.com/scipy/scipy/pull/18034>`__: BLD: avoid
> running \`run_command(py3, ...)\`, for better cross-compiling
> > * `#18035 <https://github.com/scipy/scipy/pull/18035>`__: ENH: stats:
> add ecdf function
> > * `#18036 <https://github.com/scipy/scipy/pull/18036>`__: BLD: build
> Windows wheel for py39 against numpy 1.22.3
> > * `#18037 <https://github.com/scipy/scipy/pull/18037>`__: DOC/MAINT:
> fix source button
> > * `#18040 <https://github.com/scipy/scipy/pull/18040>`__: DOC: Fix
> error in doc of _minimize_trustregion_exact
> > * `#18043 <https://github.com/scipy/scipy/pull/18043>`__: MAINT: update
> GH bug template
> > * `#18045 <https://github.com/scipy/scipy/pull/18045>`__: MAINT: update
> codeowners.
> > * `#18047 <https://github.com/scipy/scipy/pull/18047>`__: DOC: Update
> scipy.spatial.distance.pdist docstring to match its...
> > * `#18049 <https://github.com/scipy/scipy/pull/18049>`__: STY: Include
> Python.h before any other headers.
> > * `#18050 <https://github.com/scipy/scipy/pull/18050>`__: MAINT:
> integrate.qmc_quad: correct behavior of parameter \`log\`
> > * `#18052 <https://github.com/scipy/scipy/pull/18052>`__: BLD: use
> anaconda-client to upload wheels
> > * `#18053 <https://github.com/scipy/scipy/pull/18053>`__: DOC fix
> expectile docstring - empirical CDF
> > * `#18058 <https://github.com/scipy/scipy/pull/18058>`__: BLD: use
> meson-native dependency lookup for pybind11
> > * `#18059 <https://github.com/scipy/scipy/pull/18059>`__: Johnson
> distributions \`sf\` and \`isf\` override
> > * `#18060 <https://github.com/scipy/scipy/pull/18060>`__: MAINT: remove
> pavement
> > * `#18061 <https://github.com/scipy/scipy/pull/18061>`__: ENH:
> implement array @ LinearOperator
> > * `#18063 <https://github.com/scipy/scipy/pull/18063>`__: DOC: improve
> documentation for distance_transform_{cdt,edt}
> > * `#18064 <https://github.com/scipy/scipy/pull/18064>`__: DOC: add
> examples in for xlogy
> > * `#18066 <https://github.com/scipy/scipy/pull/18066>`__: TST:
> stats.nct: add test for crash with large nc
> > * `#18068 <https://github.com/scipy/scipy/pull/18068>`__: TST:
> stats.ksone: loosen variance test tolerance
> > * `#18070 <https://github.com/scipy/scipy/pull/18070>`__: Docstring:
> note on bivariate spline axis ordering
> > * `#18072 <https://github.com/scipy/scipy/pull/18072>`__: DOC:
> Modifying t parameter documentation issue in splprep #17893
> > * `#18073 <https://github.com/scipy/scipy/pull/18073>`__: MAINT: avoid
> non-recommended numpy functions and constants
> > * `#18075 <https://github.com/scipy/scipy/pull/18075>`__: MAINT: update
> pooch deps
> > * `#18076 <https://github.com/scipy/scipy/pull/18076>`__: DOC: fix
> docstring typo for \`kurtosis\` and whitespace in \`_continuous_distns\`
> > * `#18077 <https://github.com/scipy/scipy/pull/18077>`__: BUG: Check
> for initial state finiteness
> > * `#18081 <https://github.com/scipy/scipy/pull/18081>`__: ENH: allow
> single observation for equal variance in \`stats.ttest_ind\`
> > * `#18082 <https://github.com/scipy/scipy/pull/18082>`__: DOC: add
> examples for xlog1py
> > * `#18083 <https://github.com/scipy/scipy/pull/18083>`__: STY: fix mypy
> assignment.
> > * `#18084 <https://github.com/scipy/scipy/pull/18084>`__: BUG:
> calculate VDC permutations at init of Halton
> > * `#18092 <https://github.com/scipy/scipy/pull/18092>`__: ENH:
> stats.ecdf: support right-censored data
> > * `#18094 <https://github.com/scipy/scipy/pull/18094>`__: ENH: improve
> entropy calculation of chi distribution using asymptotic...
> > * `#18095 <https://github.com/scipy/scipy/pull/18095>`__: ENH:
> asymptotic expansion for gamma distribution entropy
> > * `#18096 <https://github.com/scipy/scipy/pull/18096>`__: MAINT:
> stats.johnsonsu: override _stats
> > * `#18098 <https://github.com/scipy/scipy/pull/18098>`__: ENH: increase
> available range of Gompertz entropy using scaled_exp1
> > * `#18101 <https://github.com/scipy/scipy/pull/18101>`__: DOC: adding
> references to the UnivariateSpline docstring #17828
> > * `#18102 <https://github.com/scipy/scipy/pull/18102>`__: ENH:
> stats.goodness_of_fit: add Filliben's test
> > * `#18104 <https://github.com/scipy/scipy/pull/18104>`__: BUG: enable
> matlab nested arrs
> > * `#18107 <https://github.com/scipy/scipy/pull/18107>`__: ENH: add
> Dunnett's test
> > * `#18112 <https://github.com/scipy/scipy/pull/18112>`__: FIX: reset
> semantic in \`QMCEngine.reset\`
> > * `#18120 <https://github.com/scipy/scipy/pull/18120>`__: Correct the
> comments about \` fmin_powell\` in \`scipy/optimize\`
> > * `#18122 <https://github.com/scipy/scipy/pull/18122>`__: ENH: Added
> asymptotic expansion for invgamma entropy (#18093)
> > * `#18127 <https://github.com/scipy/scipy/pull/18127>`__: MAINT:
> cleanup inconsistencies in _continous_dists
> > * `#18128 <https://github.com/scipy/scipy/pull/18128>`__: MAINT: add
> test against generic fit method for vonmises distribution
> > * `#18129 <https://github.com/scipy/scipy/pull/18129>`__: TST:
> stats.rv_continuous.fit: use \`nnlf\` instead of \`_reduce_func\`...
> > * `#18130 <https://github.com/scipy/scipy/pull/18130>`__: Some doc
> updates and small code tweaks.
> > * `#18131 <https://github.com/scipy/scipy/pull/18131>`__: ENH: Added
> asymptotic expansion for gengamma entropy
> > * `#18134 <https://github.com/scipy/scipy/pull/18134>`__: ENH: stats:
> Improve _cdf and implement _sf for genhyperbolic
> > * `#18135 <https://github.com/scipy/scipy/pull/18135>`__: Added
> asymptotic expansion for t entropy (#18093)
> > * `#18136 <https://github.com/scipy/scipy/pull/18136>`__: ENH:
> stats.ecdf: add \`confidence_interval\` methods
> > * `#18137 <https://github.com/scipy/scipy/pull/18137>`__: Bugfix for
> somersd where an integer overflow could occur
> > * `#18138 <https://github.com/scipy/scipy/pull/18138>`__: ENH: improve
> precision of genlogistic methods
> > * `#18144 <https://github.com/scipy/scipy/pull/18144>`__: DOC: Add doc
> examples for friedmanchisquare
> > * `#18145 <https://github.com/scipy/scipy/pull/18145>`__: BLD: emit a
> warning when building from source on 32-bit Windows
> > * `#18149 <https://github.com/scipy/scipy/pull/18149>`__: TST: fix
> issue with inaccurate \`cython_blas\` tests
> > * `#18150 <https://github.com/scipy/scipy/pull/18150>`__: ENH: add CI
> and str to Dunnett's test
> > * `#18152 <https://github.com/scipy/scipy/pull/18152>`__: ENH:
> stats.moment: enable non-central moment calculation
> > * `#18157 <https://github.com/scipy/scipy/pull/18157>`__: CI: fix
> pre-release job that is failing on Cython 3.0b1
> > * `#18158 <https://github.com/scipy/scipy/pull/18158>`__: DOC:stats:
> Fix levy and levy_l descriptions
> > * `#18160 <https://github.com/scipy/scipy/pull/18160>`__: BUG: Wrong
> status returned by _check_result. See #18106. optimize
> > * `#18162 <https://github.com/scipy/scipy/pull/18162>`__: ENH: Dweibull
> entropy
> > * `#18168 <https://github.com/scipy/scipy/pull/18168>`__: TST: spatial:
> skip failing test to make CI green again
> > * `#18172 <https://github.com/scipy/scipy/pull/18172>`__: MAINT:
> optimize.root_scalar: return gracefully when callable...
> > * `#18173 <https://github.com/scipy/scipy/pull/18173>`__: DOC: update
> links for ARPACK to point to ARPACK-NG
> > * `#18174 <https://github.com/scipy/scipy/pull/18174>`__: DOC: cite pip
> issue about multiple \`--config-settings\`
> > * `#18178 <https://github.com/scipy/scipy/pull/18178>`__: ENH: Added
> \`_sf\` method for anglit distribution (#17832)
> > * `#18181 <https://github.com/scipy/scipy/pull/18181>`__: DOC: wheel
> build infra updates
> > * `#18187 <https://github.com/scipy/scipy/pull/18187>`__: MAINT:
> stats.ecdf: store number at risk just before events
> > * `#18188 <https://github.com/scipy/scipy/pull/18188>`__: BUG:
> interpolate: add x-y length validation for \`make_smoothing_spline\`.
> > * `#18189 <https://github.com/scipy/scipy/pull/18189>`__: DOC: Fix for
> side bar rendering on top of text issue
> > * `#18190 <https://github.com/scipy/scipy/pull/18190>`__: ENH: fix
> vonmises fit for bad guess of location parameter
> > * `#18193 <https://github.com/scipy/scipy/pull/18193>`__: MAINT:
> stats.kendalltau: avoid overflow
> > * `#18195 <https://github.com/scipy/scipy/pull/18195>`__: MAINT:
> interpolate: remove duplicated FITPACK interface _fitpack._spl_.
> > * `#18196 <https://github.com/scipy/scipy/pull/18196>`__: ENH: add Log
> rank for survival analysis
> > * `#18199 <https://github.com/scipy/scipy/pull/18199>`__: BUG: throw
> ValueError for mismatched w dimensions and test for...
> > * `#18200 <https://github.com/scipy/scipy/pull/18200>`__: TST: stats:
> Move genexpon from xslow to slow fit test sets.
> > * `#18204 <https://github.com/scipy/scipy/pull/18204>`__: MAINT/TST:
> fix \`Slerp\` typing and better iv in \`Rotation\`
> > * `#18207 <https://github.com/scipy/scipy/pull/18207>`__: ENH: improve
> precision of folded normal distribution cdf
> > * `#18209 <https://github.com/scipy/scipy/pull/18209>`__: ENH: improve
> integrate.simpson for even number of points
> > * `#18210 <https://github.com/scipy/scipy/pull/18210>`__: ENH:
> stats.ttest_ind: add degrees of freedom and confidence interval
> > * `#18212 <https://github.com/scipy/scipy/pull/18212>`__: ENH:
> stats.ecdf: add \`evaluate\` and \`plot\` methods; restructure...
> > * `#18215 <https://github.com/scipy/scipy/pull/18215>`__: DOC: stats:
> describe attributes of \`DunnettResult\`
> > * `#18216 <https://github.com/scipy/scipy/pull/18216>`__: MAINT:
> replace use of make_dataclass with explicit dataclasses
> > * `#18217 <https://github.com/scipy/scipy/pull/18217>`__: MAINT: stats:
> consistently return NumPy numbers
> > * `#18221 <https://github.com/scipy/scipy/pull/18221>`__: DOC: add
> guidance on how to make a dataclass for result objects
> > * `#18222 <https://github.com/scipy/scipy/pull/18222>`__: MAINT:
> stats.TTestResult: fix NaN bug in ttest confidence intervals
> > * `#18225 <https://github.com/scipy/scipy/pull/18225>`__:
> ENH:MAINT:linalg det in Cython and with nDarray support
> > * `#18227 <https://github.com/scipy/scipy/pull/18227>`__: ENH: stats:
> resampling methods configuration classes and example...
> > * `#18228 <https://github.com/scipy/scipy/pull/18228>`__: ENH:
> stats.geometric.entropy: implement analytical formula
> > * `#18229 <https://github.com/scipy/scipy/pull/18229>`__: ENH:
> stats.bootstrap: add one-sided confidence intervals
> > * `#18230 <https://github.com/scipy/scipy/pull/18230>`__: BUG: nan
> segfault in KDTree, reject non-finite input
> > * `#18231 <https://github.com/scipy/scipy/pull/18231>`__: ENH:
> stats.monte_carlo_test: add support for multi-sample statistics
> > * `#18232 <https://github.com/scipy/scipy/pull/18232>`__: ENH: override
> dweibull distribution survival and inverse survival...
> > * `#18237 <https://github.com/scipy/scipy/pull/18237>`__: MAINT: update
> typing of Rotation
> > * `#18238 <https://github.com/scipy/scipy/pull/18238>`__:
> MAINT:optimize: shgo assorted fixes
> > * `#18240 <https://github.com/scipy/scipy/pull/18240>`__: fix typo
> > * `#18241 <https://github.com/scipy/scipy/pull/18241>`__: MAINT: remove
> Gitpod in favour of GitHub CodeSpaces
> > * `#18242 <https://github.com/scipy/scipy/pull/18242>`__: MAINT: Allow
> scipy to be compiled in cython3
> > * `#18243 <https://github.com/scipy/scipy/pull/18243>`__: TST:
> stats.dunnett: fix seed in test_shapes
> > * `#18245 <https://github.com/scipy/scipy/pull/18245>`__: DOC: remove
> content related to \`setup.py\` usage from the docs
> > * `#18246 <https://github.com/scipy/scipy/pull/18246>`__: ci: touch up
> wheel build action
> > * `#18247 <https://github.com/scipy/scipy/pull/18247>`__: BLD: Add
> const to Cython signatures for BLAS/LAPACK
> > * `#18248 <https://github.com/scipy/scipy/pull/18248>`__: BLD:
> implement version check for minimum Cython version
> > * `#18251 <https://github.com/scipy/scipy/pull/18251>`__: DOC:
> orthogonal_procrustes fix date of reference paper and DOI
> > * `#18257 <https://github.com/scipy/scipy/pull/18257>`__: BLD: fix
> missing build dependency on cython signature .txt files
> > * `#18258 <https://github.com/scipy/scipy/pull/18258>`__: DOC: fix link
> in release notes v1.7
> > * `#18261 <https://github.com/scipy/scipy/pull/18261>`__: Add axes
> support to uniform_filter, minimum_filter, maximum_filter
> > * `#18263 <https://github.com/scipy/scipy/pull/18263>`__: BUG: some
> tweaks to PROPACK f2py wrapper and build flags
> > * `#18264 <https://github.com/scipy/scipy/pull/18264>`__: MAINT: remove
> \`from numpy.math cimport\` usages, update \`npy_blas.h\`
> > * `#18266 <https://github.com/scipy/scipy/pull/18266>`__: MAINT:
> Explicitly mark \`cdef\` functions not raising exception...
> > * `#18269 <https://github.com/scipy/scipy/pull/18269>`__: ENH: stats:
> Implement _sf and _isf for exponweib.
> > * `#18270 <https://github.com/scipy/scipy/pull/18270>`__: CI: test
> meson-python from its main branch in one CI job
> > * `#18275 <https://github.com/scipy/scipy/pull/18275>`__: TST: stats:
> infrastructure for generation of distribution function...
> > * `#18276 <https://github.com/scipy/scipy/pull/18276>`__: MAINT:
> stats.betaprime: avoid spurious warnings in \`fit\`, \`stats\`
> > * `#18280 <https://github.com/scipy/scipy/pull/18280>`__: DOC:
> spatial.distance: update formula for {s,sq}euclidean
> > * `#18281 <https://github.com/scipy/scipy/pull/18281>`__: BLD: Enable
> incompatible pointer types warnings
> > * `#18284 <https://github.com/scipy/scipy/pull/18284>`__: DOC: improved
> gmres doc on preconditioning (scipy.sparse.linalg)
> > * `#18285 <https://github.com/scipy/scipy/pull/18285>`__: MAINT: Remove
> codecov
> > * `#18287 <https://github.com/scipy/scipy/pull/18287>`__: DOC:
> \`distance_transform_bf\` example
> > * `#18288 <https://github.com/scipy/scipy/pull/18288>`__: TST:
> stats.ortho_group: improve determinant distribution test
> > * `#18289 <https://github.com/scipy/scipy/pull/18289>`__: MAINT: mmread
> allow leading whitespace
> > * `#18290 <https://github.com/scipy/scipy/pull/18290>`__: DEP:
> stats.mode: raise with non-numeric input
> > * `#18291 <https://github.com/scipy/scipy/pull/18291>`__: TST:
> stats._axis_nan_policy: add test that decorated function...
> > * `#18292 <https://github.com/scipy/scipy/pull/18292>`__: CI: add
> CircleCI API token to fix html preview link
> > * `#18293 <https://github.com/scipy/scipy/pull/18293>`__: BUG: fix for
> incompatible pointer warning from stats._rcond #18282
> > * `#18294 <https://github.com/scipy/scipy/pull/18294>`__: CI: remove
> \`setup.py\` based jobs from GitHub Actions and run...
> > * `#18297 <https://github.com/scipy/scipy/pull/18297>`__: MAINT:
> linalg.solve_discrete_are: fix typo in error message
> > * `#18299 <https://github.com/scipy/scipy/pull/18299>`__: DOC:
> interpolate: add see also references for data on regular...
> > * `#18301 <https://github.com/scipy/scipy/pull/18301>`__: CI: remove
> \`runtests.py\` and related scripts/files
> > * `#18303 <https://github.com/scipy/scipy/pull/18303>`__: DOC: css
> adjustment in dark mode and hidden toctree in dev section
> > * `#18304 <https://github.com/scipy/scipy/pull/18304>`__: MAINT: update
> boost_math
> > * `#18305 <https://github.com/scipy/scipy/pull/18305>`__: ENH: ndimage:
> add axes argument to rank_filter, percentile_filter,...
> > * `#18307 <https://github.com/scipy/scipy/pull/18307>`__: DOC: add cdf
> under methods for multivariate t distribution
> > * `#18311 <https://github.com/scipy/scipy/pull/18311>`__: CI: move lint
> job from Azure to GHA
> > * `#18312 <https://github.com/scipy/scipy/pull/18312>`__: CI: move
> gcc-8 test to GHA
> > * `#18313 <https://github.com/scipy/scipy/pull/18313>`__: CI: remove
> asv from AzureCI
> > * `#18314 <https://github.com/scipy/scipy/pull/18314>`__: CI: remove
> scikit-umfpack/sparse from Azure testing
> > * `#18315 <https://github.com/scipy/scipy/pull/18315>`__: CI: remove
> coverage jobs
> > * `#18318 <https://github.com/scipy/scipy/pull/18318>`__: MAINT: Mark
> function pointer ctypedefs as noexcept
> > * `#18320 <https://github.com/scipy/scipy/pull/18320>`__: CI: migrate
> ref guide-check to CircleCI
> > * `#18321 <https://github.com/scipy/scipy/pull/18321>`__: Revert "ENH:
> stats.anderson_ksamp: add permutation version of...
> > * `#18323 <https://github.com/scipy/scipy/pull/18323>`__: ENH: increase
> available range of vonmises \`fit\`
> > * `#18324 <https://github.com/scipy/scipy/pull/18324>`__: ENH: add
> \`entropy\` method for multivariate t distribution
> > * `#18325 <https://github.com/scipy/scipy/pull/18325>`__: CI: move
> Azure cp39/full/win job to GHA
> > * `#18327 <https://github.com/scipy/scipy/pull/18327>`__: MAINT:
> optimize.milp: improve behavior for unexpected sparse...
> > * `#18328 <https://github.com/scipy/scipy/pull/18328>`__: MAINT:
> stats.shapiro: override p-value when len(x)==3
> > * `#18330 <https://github.com/scipy/scipy/pull/18330>`__: BLD: avoid
> build warnings on Windows, bump pybind11 and meson...
> > * `#18332 <https://github.com/scipy/scipy/pull/18332>`__: TST: fix
> minor tolerance issue for \`stats.multivariate_t\` test
> > * `#18333 <https://github.com/scipy/scipy/pull/18333>`__: CI: windows
> cp311 use-pythran=false full, sdist GHA
> > * `#18337 <https://github.com/scipy/scipy/pull/18337>`__: MAINT: update
> boost_math
> > * `#18339 <https://github.com/scipy/scipy/pull/18339>`__: TST:
> optimize: fix test_milp_timeout
> > * `#18340 <https://github.com/scipy/scipy/pull/18340>`__: DOC:
> interpolate: declare Rbf legacy
> > * `#18341 <https://github.com/scipy/scipy/pull/18341>`__: DEP: signal:
> deprecate using medfilt and order_filter with float128...
> > * `#18342 <https://github.com/scipy/scipy/pull/18342>`__: TST:
> stats.mstats.median_cihs: strengthen test
> > * `#18343 <https://github.com/scipy/scipy/pull/18343>`__: MAINT: use
> math.prod (python >= 3.8)
> > * `#18344 <https://github.com/scipy/scipy/pull/18344>`__: MAINT: Set
> cython compiler directive cpow to True
> > * `#18345 <https://github.com/scipy/scipy/pull/18345>`__: DEV: work
> around pathlib bug affecting dev.py for Python 3.9...
> > * `#18349 <https://github.com/scipy/scipy/pull/18349>`__: MAINT:
> stats.dgamma.entropy: avoid deprecated NumPy usage and...
> > * `#18350 <https://github.com/scipy/scipy/pull/18350>`__: TST: use np
> not math for functions to avoid conversion of ndim>0...
> > * `#18351 <https://github.com/scipy/scipy/pull/18351>`__: CI: remove
> Azure sdist job
> > * `#18352 <https://github.com/scipy/scipy/pull/18352>`__: MAINT: stats:
> more avoidance of deprecated NumPy usage
> > * `#18353 <https://github.com/scipy/scipy/pull/18353>`__: Migrate
> ruff.toml configuration to lint.toml
> > * `#18355 <https://github.com/scipy/scipy/pull/18355>`__: ENH: allow
> dividing LinearOperator by number
> > * `#18357 <https://github.com/scipy/scipy/pull/18357>`__: MAINT:
> clearer error in \`LinearOperator \* spmatrix\`
> > * `#18358 <https://github.com/scipy/scipy/pull/18358>`__:
> ENH:MAINT:linalg:lu Cythonized and ndarray support added
> > * `#18359 <https://github.com/scipy/scipy/pull/18359>`__: MAINT: Fix
> broken link in setup.py
> > * `#18360 <https://github.com/scipy/scipy/pull/18360>`__: DOC: improve
> neg. binomial function examples in \`special\`
> > * `#18362 <https://github.com/scipy/scipy/pull/18362>`__: MAINT: Add
> noexcept function declaration to \`_cythonized_array_utils.pxd\`
> > * `#18369 <https://github.com/scipy/scipy/pull/18369>`__: CI:
> bdist_wheel windows job Azure --> GHA
> > * `#18370 <https://github.com/scipy/scipy/pull/18370>`__: DOC:
> stats.chisquare: attribute is pvalue, not p
> > * `#18374 <https://github.com/scipy/scipy/pull/18374>`__: CI: pin to
> rtools40
> > * `#18378 <https://github.com/scipy/scipy/pull/18378>`__: DOC: add
> output_type to signature of cKDTree.query_pairs
> > * `#18379 <https://github.com/scipy/scipy/pull/18379>`__: TST/MAINT:
> remove vonmises fit correctnes test for extreme kappa...
> > * `#18380 <https://github.com/scipy/scipy/pull/18380>`__: MAINT: Limit
> fittable data for von mises fisher distribution...
> > * `#18382 <https://github.com/scipy/scipy/pull/18382>`__: TST:
> stats.cosine: modify test to silence failure
> > * `#18383 <https://github.com/scipy/scipy/pull/18383>`__: MAINT: add
> smoke testing of signal.detrend
> > * `#18384 <https://github.com/scipy/scipy/pull/18384>`__: DOC: improve
> vonmises documentation
> > * `#18387 <https://github.com/scipy/scipy/pull/18387>`__: DOC:
> interpolate: deduplicate docstrings in _fitpack_py and _fitpack_impl
> > * `#18392 <https://github.com/scipy/scipy/pull/18392>`__: BUG:
> optimize.differential_evolution: fix division by zero error
> > * `#18399 <https://github.com/scipy/scipy/pull/18399>`__: DOC: Replace
> "HACKING" with "hacking"
> > * `#18400 <https://github.com/scipy/scipy/pull/18400>`__: DOC: improve
> description of the method argument in mannwhitneyu
> > * `#18402 <https://github.com/scipy/scipy/pull/18402>`__: TST: fix
> failing signal.windows tests
> > * `#18405 <https://github.com/scipy/scipy/pull/18405>`__: Revert "BLD:
> Add const to Cython signatures for BLAS/LAPACK (#18247)"
> > * `#18410 <https://github.com/scipy/scipy/pull/18410>`__: TST: fix test
> failures in linprog unboundedness test
> > * `#18411 <https://github.com/scipy/scipy/pull/18411>`__: BLD: an Intel
> Fortran fix and MinGW-related cleanups
> > * `#18412 <https://github.com/scipy/scipy/pull/18412>`__: MAINT:
> signal: simplify shape manipulations in signal.detrend
> > * `#18413 <https://github.com/scipy/scipy/pull/18413>`__: MAINT:
> Harmonized documentation for Interpolator classes
> > * `#18414 <https://github.com/scipy/scipy/pull/18414>`__: CI: move last
> Azure job to GHA
> > * `#18418 <https://github.com/scipy/scipy/pull/18418>`__: Fix warning
> when \`nogil\` is placed before \`except\`
> > * `#18419 <https://github.com/scipy/scipy/pull/18419>`__: MAINT:
> interpolate: remove unused codes in \`_fitpackmodule.c\`.
> > * `#18421 <https://github.com/scipy/scipy/pull/18421>`__: BLD: more
> PROPACK fixes, removing timer code
> > * `#18422 <https://github.com/scipy/scipy/pull/18422>`__: MAINT: stats:
> genexpon is no longer too slow for test_rvs_broadcast.
> > * `#18426 <https://github.com/scipy/scipy/pull/18426>`__: BLD: fix two
> \`-Duse-g77-abi\` regressions and a PROPACK bug
> > * `#18427 <https://github.com/scipy/scipy/pull/18427>`__: ENH: prevent
> unnecessary computation in \`scipy.stats.rankdata\`
> > * `#18429 <https://github.com/scipy/scipy/pull/18429>`__: DOC: rewrite
> all build docs and restructure build/contributor...
> > * `#18430 <https://github.com/scipy/scipy/pull/18430>`__: MAINT:
> stats.mode: improve \`nan_policy\` behavior
> > * `#18433 <https://github.com/scipy/scipy/pull/18433>`__: ENH: improve
> t distribution logpdf and pdf for large degrees...
> > * `#18438 <https://github.com/scipy/scipy/pull/18438>`__: BLD: DOC: fix
> Sphinx doc build caching behavior for \`.dev\`...
> > * `#18439 <https://github.com/scipy/scipy/pull/18439>`__: BLD: detect
> \`xsimd\` if it's installed and add to pythran dependency
> > * `#18441 <https://github.com/scipy/scipy/pull/18441>`__: ENH:stats:
> add sf method for betaprime
> > * `#18442 <https://github.com/scipy/scipy/pull/18442>`__: TST: fix
> precision of several linalg/sparse.linalg tests
> > * `#18444 <https://github.com/scipy/scipy/pull/18444>`__: DOC: clarify
> Sobel transform
> > * `#18446 <https://github.com/scipy/scipy/pull/18446>`__: MAINT: fix
> Deb03 GO benchmark
> > * `#18447 <https://github.com/scipy/scipy/pull/18447>`__: DOC: remove
> references to Azure
> > * `#18449 <https://github.com/scipy/scipy/pull/18449>`__: ENH: increase
> truncated exponential distribution sf/isf precision
> > * `#18451 <https://github.com/scipy/scipy/pull/18451>`__: DEV: use
> number of physical cores in \`dev.py build\` by default
> > * `#18454 <https://github.com/scipy/scipy/pull/18454>`__: DOC: add
> \`distance_transform_cdt\` example
> > * `#18455 <https://github.com/scipy/scipy/pull/18455>`__: MAINT:
> simplifiy detrend
> > * `#18458 <https://github.com/scipy/scipy/pull/18458>`__: DOC: odr:
> clarify \`cov_beta\` is not scaled by the residual...
> > * `#18459 <https://github.com/scipy/scipy/pull/18459>`__: DOC:
> optimize: add use of functools.partial to tutorial
> > * `#18460 <https://github.com/scipy/scipy/pull/18460>`__: DOC: examples
> for \`ndimage.generic_filter\`
> > * `#18461 <https://github.com/scipy/scipy/pull/18461>`__: TST: stats:
> ReferenceDistribution: use complementary methods...
> > * `#18462 <https://github.com/scipy/scipy/pull/18462>`__: MAINT: Clean
> up scipy/sparse/linalg/_isolve/tests/test_iterative.py
> > * `#18463 <https://github.com/scipy/scipy/pull/18463>`__: MAINT:
> parametrize scipy/sparse/linalg/_isolve/tests/test_iterative.py
> > * `#18466 <https://github.com/scipy/scipy/pull/18466>`__: DOC: fix
> issues in \`svds\` docstring examples that were failing...
> > * `#18468 <https://github.com/scipy/scipy/pull/18468>`__: BLD: enforce
> utf-8 in tools/cythonize.py, and some cleanups
> > * `#18472 <https://github.com/scipy/scipy/pull/18472>`__: MAINT: remove
> lsim2/impulse2/step2 docstring examples
> > * `#18475 <https://github.com/scipy/scipy/pull/18475>`__: DOC: remove
> warnings in doc build
> > * `#18476 <https://github.com/scipy/scipy/pull/18476>`__: TST:
> stats/optimize: filter warnings in tests
> > * `#18482 <https://github.com/scipy/scipy/pull/18482>`__: MAINT: ensure
> Nelder-Mead respects floating point type
> > * `#18486 <https://github.com/scipy/scipy/pull/18486>`__: DOC: remove
> already-resolved deprecation warning filter
> > * `#18489 <https://github.com/scipy/scipy/pull/18489>`__: DEP: signal:
> deprecate importing window functions from signal...
> > * `#18493 <https://github.com/scipy/scipy/pull/18493>`__: BUG: stats:
> Fix the variable that is checked to skip a test.
> > * `#18500 <https://github.com/scipy/scipy/pull/18500>`__: MAINT: tweak
> code comment for list of private-but-present modules
> > * `#18501 <https://github.com/scipy/scipy/pull/18501>`__: TST:
> interpolate: add a regression test for bisplev integer overflow
> > * `#18502 <https://github.com/scipy/scipy/pull/18502>`__: BUG: guard
> against non-finite kd-tree queries
> > * `#18503 <https://github.com/scipy/scipy/pull/18503>`__: Fix PPoly
> readonly issue for c parameter
> > * `#18504 <https://github.com/scipy/scipy/pull/18504>`__: MAINT: upload
> nighlighties to new location
> > * `#18505 <https://github.com/scipy/scipy/pull/18505>`__: MAINT:
> sparse: Generalize isshape to (optionally) handle non-2d...
> > * `#18507 <https://github.com/scipy/scipy/pull/18507>`__: Clean up
> sparse array API
> > * `#18508 <https://github.com/scipy/scipy/pull/18508>`__: ENH: Ensure
> that the result of divide(sparse, dense) is sparse
> > * `#18509 <https://github.com/scipy/scipy/pull/18509>`__: Remove
> indices downcasting for sparse arrays
> > * `#18510 <https://github.com/scipy/scipy/pull/18510>`__: TST: Add
> regression tests for sparse creation functions.
> > * `#18513 <https://github.com/scipy/scipy/pull/18513>`__: MAINT:
> sparse: cosmetic updates + typing for sputils
> > * `#18516 <https://github.com/scipy/scipy/pull/18516>`__: DOC: add user
> guide page introing new sparse arrays
> > * `#18522 <https://github.com/scipy/scipy/pull/18522>`__: Pin
> prerelease pipeline with Cython>=3.0.0b3
> > * `#18523 <https://github.com/scipy/scipy/pull/18523>`__: TST:
> piecemeal updates to \`test_base.py\` for sparray conversion
> > * `#18526 <https://github.com/scipy/scipy/pull/18526>`__: DOC: Fix
> broken reference to count_nonzero in See Also.
> > * `#18527 <https://github.com/scipy/scipy/pull/18527>`__: try stable
> sort in mst tree ordering
> > * `#18528 <https://github.com/scipy/scipy/pull/18528>`__: ENH: Update
> isspmatrix behavior
> > * `#18531 <https://github.com/scipy/scipy/pull/18531>`__: Class names
> to enable isinstance
> > * `#18532 <https://github.com/scipy/scipy/pull/18532>`__: Fix format
> property in _csr.py
> > * `#18536 <https://github.com/scipy/scipy/pull/18536>`__: Add
> deprecation notices to sparse array docs
> > * `#18538 <https://github.com/scipy/scipy/pull/18538>`__: ENH: sparse:
> Add _array version of \`diags\` creation functions.
> > * `#18539 <https://github.com/scipy/scipy/pull/18539>`__: DOC: sparse:
> Document sparse canonical formats
> > * `#18540 <https://github.com/scipy/scipy/pull/18540>`__: MAINT:
> sparse: Deprecate multi-Ellipsis indexing
> > * `#18542 <https://github.com/scipy/scipy/pull/18542>`__: ENH: sparse:
> add nanmin/nanmax (followup on gh-8902)
> > * `#18543 <https://github.com/scipy/scipy/pull/18543>`__: MAINT:
> optimize.root_scalar: ensure that root is a scalar
> > * `#18545 <https://github.com/scipy/scipy/pull/18545>`__: TST: speed up
> \`test_import_cycles\`
> > * `#18549 <https://github.com/scipy/scipy/pull/18549>`__: TST:
> optimize: filter RuntimeWarning that does not indicate test...
> > * `#18550 <https://github.com/scipy/scipy/pull/18550>`__: DOC:
> optimize.OptimizeResult: note that not all listed attributes...
> > * `#18551 <https://github.com/scipy/scipy/pull/18551>`__: Replace
> sparse __getattr__ with properties
> > * `#18553 <https://github.com/scipy/scipy/pull/18553>`__: BENCH:
> sparse: Add a benchmark for sparse matrix power
> > * `#18554 <https://github.com/scipy/scipy/pull/18554>`__: BUG: sparse:
> Fix DIA.tocoo canonical format setting
> > * `#18556 <https://github.com/scipy/scipy/pull/18556>`__: MAINT: io:
> replace isspmatrix with issparse in mmio module
> > * `#18560 <https://github.com/scipy/scipy/pull/18560>`__: MAINT:
> integrate: revert\`full_output\` deprecation / result...
> > * `#18562 <https://github.com/scipy/scipy/pull/18562>`__: fix doc
> strings for csr_array and friends
> > * `#18563 <https://github.com/scipy/scipy/pull/18563>`__: DOC: SciPy
> 1.11.0 release notes
> > * `#18591 <https://github.com/scipy/scipy/pull/18591>`__: MAINT:
> version bounds for 1.11.0rc1
> > * `#18596 <https://github.com/scipy/scipy/pull/18596>`__: DOC: Fix
> sidebar for API reference pages
> > * `#18598 <https://github.com/scipy/scipy/pull/18598>`__: CI: fix wheel
> upload to anaconda [wheel build]
> > * `#18599 <https://github.com/scipy/scipy/pull/18599>`__: Revert "ENH:
> sparse: Add _array version of \`diags\` creation...
> > * `#18608 <https://github.com/scipy/scipy/pull/18608>`__: Fix typo of
> module name in deprecation warning
> > * `#18629 <https://github.com/scipy/scipy/pull/18629>`__: Mark \`void\`
> functions as \`noexcept\` in _rotation.pyx
> > * `#18630 <https://github.com/scipy/scipy/pull/18630>`__: MAINT: stats:
> remove long double support for all boost ufuncs
> > * `#18636 <https://github.com/scipy/scipy/pull/18636>`__: MAINT:
> stats.truncnorm/stats.betaprime: fix _munp for higher...
> > * `#18657 <https://github.com/scipy/scipy/pull/18657>`__: MAINT: fix
> 'no such option' error in build_scipy CI
> > * `#18658 <https://github.com/scipy/scipy/pull/18658>`__: TST: fix two
> test failures that showed up on conda-forge
> > * `#18659 <https://github.com/scipy/scipy/pull/18659>`__: DOC:
> \`scipy._sensitivity_analysis\`: correct statement about...
> > * `#18671 <https://github.com/scipy/scipy/pull/18671>`__: MAINT:
> backports for 1.11.0rc2
> > * `#18672 <https://github.com/scipy/scipy/pull/18672>`__: BUG: small
> shim for release process
> > * `#18676 <https://github.com/scipy/scipy/pull/18676>`__: BUG: signal:
> fix detrend with array-like bp
> > * `#18697 <https://github.com/scipy/scipy/pull/18697>`__: MAINT: NumPy
> 1.25.0 shims for arm64
> > * `#18698 <https://github.com/scipy/scipy/pull/18698>`__: DEP:
> interpolate: delay interp2d deprecation and update link
> > * `#18724 <https://github.com/scipy/scipy/pull/18724>`__: MAINT, REL:
> prepare for SciPy 1.11.0 "final"
> > * `#18737 <https://github.com/scipy/scipy/pull/18737>`__: TST: flaky
> TestSOSFreqz::test_fs_param
> > * `#18738 <https://github.com/scipy/scipy/pull/18738>`__: TST: flaky
> \`test_complex_iir_dlti\`
> >
> > Checksums
> > =========
> >
> > MD5
> > ~~~
> >
> > 3149fcd38f8b946cf46202f019ada857  Changelog
> > 3aded46b4fdf3c8f4f5fa86922832e42  README.txt
> > e19289220712b60f80c0335c2f980019
> scipy-1.11.0-cp310-cp310-macosx_10_9_x86_64.whl
> > 1a1e677bcc83418d3fd023d6499dd892
> scipy-1.11.0-cp310-cp310-macosx_12_0_arm64.whl
> > bbab95fed977823e90fcc9c03986f389
> scipy-1.11.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
> > 05f1c21efd12b6c822e52f63a206c1a6
> scipy-1.11.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
> > 6d0e634ea2f149796e476bb9b36253c7
> scipy-1.11.0-cp310-cp310-musllinux_1_1_x86_64.whl
> > c50ee3e1cee0be728011e9037e937902  scipy-1.11.0-cp310-cp310-win_amd64.whl
> > 84acd19566f9f751976f9dfe8f15e51e
> scipy-1.11.0-cp311-cp311-macosx_10_9_x86_64.whl
> > a688e493c21988c8cf0d9e60ce3626c2
> scipy-1.11.0-cp311-cp311-macosx_12_0_arm64.whl
> > 2571f72f5201e21159bbda8a8dae1e93
> scipy-1.11.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
> > 194b8c543317ac76d66d8749bfb3369d
> scipy-1.11.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
> > f5073b9be9340dca338f976815152856
> scipy-1.11.0-cp311-cp311-musllinux_1_1_x86_64.whl
> > 27c316567f161bcb7ada3d29bbde9654  scipy-1.11.0-cp311-cp311-win_amd64.whl
> > 2447ab3cae5ab5c06a54b26433539a37
> scipy-1.11.0-cp39-cp39-macosx_10_9_x86_64.whl
> > ddd9fd97969d9fd84c2b2562d45c39b3
> scipy-1.11.0-cp39-cp39-macosx_12_0_arm64.whl
> > 885dbc413e361fd8586f9d83853ba8b9
> scipy-1.11.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
> > 98a2980d27f763fc73a2cd5e52c88647
> scipy-1.11.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
> > 65ef7d505c1a5e3aeb09b39510c4400a
> scipy-1.11.0-cp39-cp39-musllinux_1_1_x86_64.whl
> > c9a23bd3835728c1ac44951da26efbb1  scipy-1.11.0-cp39-cp39-win_amd64.whl
> >
> > SHA256
> > ~~~~~~
> >
> > 0e34960ac179eb0a2f0a97cf5ddf3cdbbcd9aef83463d677ead3d16ee0e61c93
> Changelog
> > 478446b01b231962aaac3b7debc1328a5697d46941967deae36277825d308584
> README.txt
> > 2e4f14c11fbf825319dbd7f467639a241e7c956c34edb1e036ec7bb6271e4f7b
> scipy-1.11.0-cp310-cp310-macosx_10_9_x86_64.whl
> > b269ed44e2e2e43611f2ae95ba551fd98abbdc1a7ea8268f72f75876982368c4
> scipy-1.11.0-cp310-cp310-macosx_12_0_arm64.whl
> > 2c29bae479b17d85208dfdfc67e50d5944ee23211f236728aadde9b0b7c1c33e
> scipy-1.11.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
> > a53f9cebcfda6158c241c35a559407a4ef6b8cb0863eb4144958fe0a0b7c3dae
> scipy-1.11.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
> > ebf4b2ea26d50312731ddba2406389c5ddcbff9d777cf3277ea11decc81e5dfb
> scipy-1.11.0-cp310-cp310-musllinux_1_1_x86_64.whl
> > 894ced9a2cdb050ff5e392f274617af46dca896d5c9112fa4a2019929554d321
> scipy-1.11.0-cp310-cp310-win_amd64.whl
> > 7a92bd3cd4acad2e0e0b360176d5ec68b100983c8145add8a8233acddf4e5fcc
> scipy-1.11.0-cp311-cp311-macosx_10_9_x86_64.whl
> > 586608ea35206257d4e0ce6f154a6cfef71723b2c1f6d40de5e0b0e8a81cd2ff
> scipy-1.11.0-cp311-cp311-macosx_12_0_arm64.whl
> > d8e631c3c49c24f30828580b8126fe3be5cca5409dad5b797418a5b8965eeafa
> scipy-1.11.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
> > ccc70892ea674f93183c5c4139557b611e42f644dd755da4b19ca974ab770672
> scipy-1.11.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
> > 80015b8928f91bd40377b2b1010ba2e09b03680cbfc291208740494aeb8debf2
> scipy-1.11.0-cp311-cp311-musllinux_1_1_x86_64.whl
> > 6302c7cba5bf99c901653ff158746625526cc438f058bce41514d7469b79b2c3
> scipy-1.11.0-cp311-cp311-win_amd64.whl
> > c61ea63124da6a3cff38126426912cc86420898b4902a9bc5e5b6524547a6dcb
> scipy-1.11.0-cp39-cp39-macosx_10_9_x86_64.whl
> > 684d44607eacd5dd367c7a9e76e922523fa9c0a7f2379a4d0fc4d70d751464cc
> scipy-1.11.0-cp39-cp39-macosx_12_0_arm64.whl
> > f0c9c160d117fe71cd2a12ef21cce8e0475ade2fd97c761ef327b9839089bd16
> scipy-1.11.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
> > 83867a63515c4e3fce3272d81200dda614d70f4c3a22f047d84021bfe83d7929
> scipy-1.11.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
> > 6666a1e31b2123a077f0dc7ab1053e36479cfd457fb9f5c367e7198505c6607a
> scipy-1.11.0-cp39-cp39-musllinux_1_1_x86_64.whl
> > fad4006248513528e0c496de295a9f4d2b65086cc0e388f748e7dbf49fa12760
> scipy-1.11.0-cp39-cp39-win_amd64.whl
> > _______________________________________________
> > NumPy-Discussion mailing list -- [email protected]
> > To unsubscribe send an email to [email protected]
> > https://mail.python.org/mailman3/lists/numpy-discussion.python.org/
> > Member address: [email protected]
> _______________________________________________
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> https://mail.python.org/mailman3/lists/scipy-dev.python.org/
> Member address: [email protected]
>

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