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July 2022
- 22 participants
- 28 discussions
Hi Folks,
We're organizing the maintainers' track at EuroScipy 2022, happening in
Basel at the end of August this year: https://www.euroscipy.org/2022/.
This track is a venue for maintainers to meet one another and meet
maintainers of other projects, interact, and exchange ideas. With the works
going into the scientific python community and SPECs(
https://scientific-python.org/), we think it would be nice for folks who
are going to be around at EuroScipy to meet and discuss issues.
You can see the previous track at the last EuroScipy here:
https://www.euroscipy.org/2019/maintainers.html
We would really appreciate it if you could come, be there, and contribute
in sessions if you wish. We're also looking for ideas/proposals for
sessions.
We have two concrete questions:
- Are there any maintainers from your project who are attending the
conference?
- Do you have a proposal for a session for the track?
Best,
On Behalf of The EuroScipy Committee,
Adrin
1
0
Hi all,
I would like to share the first formal draft of
NEP 50: Promotion rules for Python scalars
with everyone. The full text can be found here:
https://numpy.org/neps/nep-0050-scalar-promotion.html
NEP 50 is an attempt to remove value-based casting/promotion. We wish
to replace it with clearer rules for the resulting dtype when mixing
NumPy arrays and Python scalars. As a brief example, the proposal
allows the following (unchanged):
>>> np.array([1, 2, 3], dtype=np.int8) + 100
np.array([101, 102, 103], dtype=np.int8)
While clearing up confusion caused by the value-inspecting behavior
that we see sometimes, such as:
>>> np.array([1, 2, 3], dtype=np.int8) + 300
np.array([301, 302, 303], dtype=np.int16) # note the int16
Where 300 is too large to fit an ``int8``. As well as removing the
special behavior of 0-D arrays or NumPy scalars:
>>> res = np.array(1, dtype=np.int8) + 100
>>> res.dtype
dtype('int64')
This is the continuation of a long discussion (see the "Discussion"
section), including the poll I once posted:
https://discuss.scientific-python.org/t/poll-future-numpy-behavior-when-mix…
I would be happy for any feadback, be it just editorial or fundamental
discussion. There are many alternatives which I have tried to capture
in the NEP.
So lets discuss here, or on discuss:
https://discuss.scientific-python.org/t/nep-50-promotion-rules-for-python-s…
For smaller edits, don't hesitate to open a NumPy PR, or propose edits
on my branch (you can use the edit button to create a PR):
https://github.com/seberg/numpy/blob/nep50/doc/neps/nep-0050-scalar-promoti…
An important part of moving forward will be assessing the real world
impact. To start that process, I have created a branch as a draft PR
(at this time):
https://github.com/numpy/numpy/pull/21626
It is missing some parts, but should allow preliminary testing. The
main missing part is that the integer warnings and errors are less
strict than proposed in the NEP.
It would be invaluable to get a better idea to what extent existing
code, especially end-user code, is affected by the proposed changes.
Thanks in advance for any input! This is a big, complicated proposal,
but finding a way forward will hopefully clear up a source of confusion
and inconsistencies that make both maintainers and users life harder.
Cheers,
Sebastian
3
5
![](https://secure.gravatar.com/avatar/06a15f2260899be5cfa7484a476adf34.jpg?s=120&d=mm&r=g)
July 5, 2022
Currently there are lots of ways to compute dot products (dot, vdot, inner, tensordot, einsum...), but none of them are really convenient for the case of arrays of vectors, where one dimension (usually the last or the first) is the vector dimension. The simplest way to do this currently is `np.sum(a * b, axis=axis)`, but this makes vector algebra less readable without a wrapper function, and it's probably not optimized as much as matrix products. Another way to do it is by adding appropriate dimensions and using matmul, but that's arguably less readable and not obvious to do generically for arbitrary axes. I think either np.dot or np.vdot could easily be extended with an `axis` parameter that would convert it into a bulk vector operation, with the same semantics as `np.sum(a * b, axis=axis)`. It should also maybe have a `keep_dims` parameter, which is useful for preserving broadcasting.
I submitted a corresponding issue at https://github.com/numpy/numpy/issues/21915
4
10
The next NumPy Newcomers Hour will be held this Thursday, June 30th at 4 pm
UTC.
Ryan C. Cooper, an assistant professor-in-residence at the University of
Connecticut (Mansfield, Connecticut, USA), will share how he uses NumPy in
his Engineering classes, from individual student research to semester-long
courses. We will talk about lessons learned and key strategies to motivate
and engage new Python users.
Join us via Zoom: https://us02web.zoom.us/j/87192457898
Cheers,
Inessa
Inessa Pawson
Contributor Experience Lead | NumPy
https://numpy.org/
Twitter: @inessapawson
1
1
Hi all,
On behalf of the SciPy development team I'm pleased to
announce the release candidate SciPy 1.9.0rc2. Please help
us test this pre-release.
Sources and binary wheels can be found at:
https://pypi.org/project/scipy/
and at:
https://github.com/scipy/scipy/releases/tag/v1.9.0rc2
One of a few ways to install the release candidate with pip:
pip install scipy==1.9.0rc2
=====================
SciPy 1.9.0 Release Notes
=====================
Note: SciPy 1.9.0 is not released yet!
SciPy 1.9.0 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
1.9.x branch, and on adding new features on the main branch.
This release requires Python 3.8+ and NumPy 1.18.5 or greater.
For running on PyPy, PyPy3 6.0+ is required.
*****************************
Highlights of this release
*****************************
- We have modernized our build system to use ``meson``, substantially
reducing
our source build times
- Added `scipy.optimize.milp`, new function for mixed-integer linear
programming.
- Added `scipy.stats.fit` for fitting discrete and continuous distributions
to data.
- Tensor-product spline interpolation modes were added to
`scipy.interpolate.RegularGridInterpolator`.
- A new global optimizer (DIviding RECTangles algorithm)
`scipy.optimize.direct`
****************
New features
****************
`scipy.interpolate` improvements
=========================
- Speed up the ``RBFInterpolator`` evaluation with high dimensional
interpolants.
- Added new spline based interpolation methods for
`scipy.interpolate.RegularGridInterpolator` and its tutorial.
- `scipy.interpolate.RegularGridInterpolator` and
`scipy.interpolate.interpn`
now accept descending ordered points.
- ``RegularGridInterpolator`` now handles length-1 grid axes.
- The ``BivariateSpline`` subclasses have a new method
``partial_derivative``
which constructs a new spline object representing a derivative of an
original spline. This mirrors the corresponding functionality for
univariate
splines, ``splder`` and ``BSpline.derivative``, and can substantially
speed
up repeated evaluation of derivatives.
`scipy.linalg` improvements
=====================
- `scipy.linalg.expm` now accepts nD arrays. Its speed is also improved.
- Minimum required LAPACK version is bumped to ``3.7.1``.
`scipy.fft` improvements
==================
- Added ``uarray`` multimethods for `scipy.fft.fht` and `scipy.fft.ifht`
to allow provision of third party backend implementations such as those
recently added to CuPy.
`scipy.optimize` improvements
=======================
- A new global optimizer, `scipy.optimize.direct` (DIviding RECTangles
algorithm)
was added. For problems with inexpensive function evaluations, like the
ones
in the SciPy benchmark suite, ``direct`` is competitive with the best
other
solvers in SciPy (``dual_annealing`` and ``differential_evolution``) in
terms
of execution time. See
`gh-14300 <https://github.com/scipy/scipy/pull/14300>`__ for more details.
- Add a ``full_output`` parameter to `scipy.optimize.curve_fit` to output
additional solution information.
- Add a ``integrality`` parameter to
`scipy.optimize.differential_evolution`,
enabling integer constraints on parameters.
- Add a ``vectorized`` parameter to call a vectorized objective function
only
once per iteration. This can improve minimization speed by reducing
interpreter overhead from the multiple objective function calls.
- The default method of `scipy.optimize.linprog` is now ``'highs'``.
- Added `scipy.optimize.milp`, new function for mixed-integer linear
programming.
- Added Newton-TFQMR method to ``newton_krylov``.
- Added support for the ``Bounds`` class in ``shgo`` and ``dual_annealing``
for
a more uniform API across `scipy.optimize`.
- Added the ``vectorized`` keyword to ``differential_evolution``.
- ``approx_fprime`` now works with vector-valued functions.
`scipy.signal` improvements
=====================
- The new window function `scipy.signal.windows.kaiser_bessel_derived` was
added to compute the Kaiser-Bessel derived window.
- Single-precision ``hilbert`` operations are now faster as a result of more
consistent ``dtype`` handling.
`scipy.sparse` improvements
======================
- Add a ``copy`` parameter to `scipy.sparce.csgraph.laplacian`. Using
inplace
computation with ``copy=False`` reduces the memory footprint.
- Add a ``dtype`` parameter to `scipy.sparce.csgraph.laplacian` for type
casting.
- Add a ``symmetrized`` parameter to `scipy.sparce.csgraph.laplacian` to
produce
symmetric Laplacian for directed graphs.
- Add a ``form`` parameter to `scipy.sparce.csgraph.laplacian` taking one
of the
three values: ``array``, or ``function``, or ``lo`` determining the
format of
the output Laplacian:
* ``array`` is a numpy array (backward compatible default);
* ``function`` is a pointer to a lambda-function evaluating the
Laplacian-vector or Laplacian-matrix product;
* ``lo`` results in the format of the ``LinearOperator``.
`scipy.sparse.linalg` improvements
==========================
- ``lobpcg`` performance improvements for small input cases.
`scipy.spatial` improvements
======================
- Add an ``order`` parameter to `scipy.spatial.transform.Rotation.from_quat`
and `scipy.spatial.transform.Rotation.as_quat` to specify quaternion
format.
`scipy.stats` improvements
=====================
- `scipy.stats.monte_carlo_test` performs one-sample Monte Carlo hypothesis
tests to assess whether a sample was drawn from a given distribution.
Besides
reproducing the results of hypothesis tests like `scipy.stats.ks_1samp`,
`scipy.stats.normaltest`, and `scipy.stats.cramervonmises` without small
sample
size limitations, it makes it possible to perform similar tests using
arbitrary
statistics and distributions.
- Several `scipy.stats` functions support new ``axis`` (integer or tuple of
integers) and ``nan_policy`` ('raise', 'omit', or 'propagate'), and
``keepdims`` arguments.
These functions also support masked arrays as inputs, even if they do not
have
a `scipy.stats.mstats` counterpart. Edge cases for multidimensional
arrays,
such as when axis-slices have no unmasked elements or entire inputs are of
size zero, are handled consistently.
- Add a ``weight`` parameter to `scipy.stats.hmean`.
- Several improvements have been made to `scipy.stats.levy_stable`.
Substantial
improvement has been made for numerical evaluation of the pdf and cdf,
resolving [#12658](https://github.com/scipy/scipy/issues/12658) and
[#14944](https://github.com/scipy/scipy/issues/14994). The improvement is
particularly dramatic for stability parameter ``alpha`` close to or equal
to 1
and for ``alpha`` below but approaching its maximum value of 2. The
alternative
fast Fourier transform based method for pdf calculation has also been
updated
to use the approach of Wang and Zhang from their 2008 conference paper
*Simpson’s rule based FFT method to compute densities of stable
distribution*,
making this method more competitive with the default method. In addition,
users now have the option to change the parametrization of the Levy Stable
distribution to Nolan's "S0" parametrization which is used internally by
SciPy's pdf and cdf implementations. The "S0" parametrization is
described in
Nolan's paper [*Numerical calculation of stable densities and distribution
functions*](https://doi.org/10.1080/15326349708807450) upon which SciPy's
implementation is based. "S0" has the advantage that ``delta`` and
``gamma``
are proper location and scale parameters. With ``delta`` and ``gamma``
fixed,
the location and scale of the resulting distribution remain unchanged as
``alpha`` and ``beta`` change. This is not the case for the default "S1"
parametrization. Finally, more options have been exposed to allow users to
trade off between runtime and accuracy for both the default and FFT
methods of
pdf and cdf calculation. More information can be found in the
documentation
here (to be linked).
- Added `scipy.stats.fit` for fitting discrete and continuous distributions
to
data.
- The methods ``"pearson"`` and ``"tippet"`` from
`scipy.stats.combine_pvalues`
have been fixed to return the correct p-values, resolving
[#15373](https://github.com/scipy/scipy/issues/15373). In addition, the
documentation for `scipy.stats.combine_pvalues` has been expanded and
improved.
- Unlike other reduction functions, ``stats.mode`` didn't consume the axis
being operated on and failed for negative axis inputs. Both the bugs have
been
fixed. Note that ``stats.mode`` will now consume the input axis and
return an
ndarray with the ``axis`` dimension removed.
- Replaced implementation of `scipy.stats.ncf` with the implementation from
Boost for improved reliability.
- Add a `bits` parameter to `scipy.stats.qmc.Sobol`. It allows to use from 0
to 64 bits to compute the sequence. Default is ``None`` which corresponds
to
30 for backward compatibility. Using a higher value allow to sample more
points. Note: ``bits`` does not affect the output dtype.
- Add a `integers` method to `scipy.stats.qmc.QMCEngine`. It allows sampling
integers using any QMC sampler.
- Improved the fit speed and accuracy of ``stats.pareto``.
- Added ``qrvs`` method to ``NumericalInversePolynomial`` to match the
situation for ``NumericalInverseHermite``.
- Faster random variate generation for ``gennorm`` and ``nakagami``.
- ``lloyd_centroidal_voronoi_tessellation`` has been added to allow improved
sample distributions via iterative application of Voronoi diagrams and
centering operations
- Add `scipy.stats.qmc.PoissonDisk` to sample using the Poisson disk
sampling
method. It guarantees that samples are separated from each other by a
given ``radius``.
- Add `scipy.stats.pmean` to calculate the weighted power mean also called
generalized mean.
************************
Deprecated features
************************
- Due to collision with the shape parameter ``n`` of several distributions,
use of the distribution ``moment`` method with keyword argument ``n`` is
deprecated. Keyword ``n`` is replaced with keyword ``order``.
- Similarly, use of the distribution ``interval`` method with keyword
arguments
``alpha`` is deprecated. Keyword ``alpha`` is replaced with keyword
``confidence``.
- The ``'simplex'``, ``'revised simplex'``, and ``'interior-point'`` methods
of `scipy.optimize.linprog` are deprecated. Methods ``highs``,
``highs-ds``,
or ``highs-ipm`` should be used in new code.
- Support for non-numeric arrays has been deprecated from ``stats.mode``.
``pandas.DataFrame.mode`` can be used instead.
- The function `spatial.distance.kulsinski` has been deprecated in favor
of `spatial.distance.kulczynski1`.
- The ``maxiter`` keyword of the truncated Newton (TNC) algorithm has been
deprecated in favour of ``maxfun``.
- The ``vertices`` keyword of ``Delauney.qhull`` now raises a
DeprecationWarning, after having been deprecated in documentation only
for a long time.
- The ``extradoc`` keyword of ``rv_continuous``, ``rv_discrete`` and
``rv_sample`` now raises a DeprecationWarning, after having been
deprecated in
documentation only for a long time.
*************************
Expired Deprecations
*************************
There is an ongoing effort to follow through on long-standing deprecations.
The following previously deprecated features are affected:
- Object arrays in sparse matrices now raise an error.
- Inexact indices into sparse matrices now raise an error.
- Passing ``radius=None`` to `scipy.spatial.SphericalVoronoi` now raises an
error (not adding ``radius`` defaults to 1, as before).
- Several BSpline methods now raise an error if inputs have ``ndim > 1``.
- The ``_rvs`` method of statistical distributions now requires a ``size``
parameter.
- Passing a ``fillvalue`` that cannot be cast to the output type in
`scipy.signal.convolve2d` now raises an error.
- `scipy.spatial.distance` now enforces that the input vectors are
one-dimensional.
- Removed ``stats.itemfreq``.
- Removed ``stats.median_absolute_deviation``.
- Removed ``n_jobs`` keyword argument and use of ``k=None`` from
``kdtree.query``.
- Removed ``right`` keyword from ``interpolate.PPoly.extend``.
- Removed ``debug`` keyword from ``scipy.linalg.solve_*``.
- Removed class ``_ppform`` ``scipy.interpolate``.
- Removed BSR methods ``matvec`` and ``matmat``.
- Removed ``mlab`` truncation mode from ``cluster.dendrogram``.
- Removed ``cluster.vq.py_vq2``.
- Removed keyword arguments ``ftol`` and ``xtol`` from
``optimize.minimize(method='Nelder-Mead')``.
- Removed ``signal.windows.hanning``.
- Removed LAPACK ``gegv`` functions from ``linalg``; this raises the
minimally
required LAPACK version to 3.7.1.
- Removed ``spatial.distance.matching``.
- Removed the alias ``scipy.random`` for ``numpy.random``.
- Removed docstring related functions from ``scipy.misc`` (``docformat``,
``inherit_docstring_from``, ``extend_notes_in_docstring``,
``replace_notes_in_docstring``, ``indentcount_lines``, ``filldoc``,
``unindent_dict``, ``unindent_string``).
- Removed ``linalg.pinv2``.
***************************************
Backwards incompatible changes
***************************************
- Several `scipy.stats` functions now convert ``np.matrix`` to
``np.ndarray``s
before the calculation is performed. In this case, the output will be a
scalar
or ``np.ndarray`` of appropriate shape rather than a 2D ``np.matrix``.
Similarly, while masked elements of masked arrays are still ignored, the
output will be a scalar or ``np.ndarray`` rather than a masked array with
``mask=False``.
- The default method of `scipy.optimize.linprog` is now ``'highs'``, not
``'interior-point'`` (which is now deprecated), so callback functions and
some options are no longer supported with the default method. With the
default method, the ``x`` attribute of the returned ``OptimizeResult`` is
now ``None`` (instead of a non-optimal array) when an optimal solution
cannot be found (e.g. infeasible problem).
- For `scipy.stats.combine_pvalues`, the sign of the test statistic returned
for the method ``"pearson"`` has been flipped so that higher values of the
statistic now correspond to lower p-values, making the statistic more
consistent with those of the other methods and with the majority of the
literature.
- `scipy.linalg.expm` due to historical reasons was using the sparse
implementation and thus was accepting sparse arrays. Now it only works
with
nDarrays. For sparse usage, `scipy.sparse.linalg.expm` needs to be used
explicitly.
- The definition of `scipy.stats.circvar` has reverted to the one that is
standard in the literature; note that this is not the same as the square
of
`scipy.stats.circstd`.
- Remove inheritance to `QMCEngine` in `MultinomialQMC` and
`MultivariateNormalQMC`. It removes the methods `fast_forward` and
`reset`.
- Init of `MultinomialQMC` now require the number of trials with `n_trials`.
Hence, `MultinomialQMC.random` output has now the correct shape ``(n,
pvals)``.
- Several function-specific warnings (``F_onewayConstantInputWarning``,
``F_onewayBadInputSizesWarning``, ``PearsonRConstantInputWarning``,
``PearsonRNearConstantInputWarning``, ``SpearmanRConstantInputWarning``,
and
``BootstrapDegenerateDistributionWarning``) have been replaced with more
general warnings.
******************
Other changes
******************
- A draft developer CLI is available for SciPy, leveraging the ``doit``,
``click`` and ``rich-click`` tools. For more details, see
[gh-15959](https://github.com/scipy/scipy/pull/15959).
- The SciPy contributor guide has been reorganized and updated
(see [#15947](https://github.com/scipy/scipy/pull/15947) for details).
- QUADPACK Fortran routines in `scipy.integrate`, which power
`scipy.integrate.quad`, have been marked as `recursive`. This should fix
rare
issues in multivariate integration (`nquad` and friends) and obviate the
need
for compiler-specific compile flags (`/recursive` for ifort etc). Please
file
an issue if this change turns out problematic for you. This is also true
for
``FITPACK`` routines in `scipy.interpolate`, which power ``splrep``,
``splev`` etc., and ``*UnivariateSpline`` and ``*BivariateSpline``
classes.
- the ``USE_PROPACK`` environment variable has been renamed to
``SCIPY_USE_PROPACK``; setting to a non-zero value will enable
the usage of the ``PROPACK`` library as before
Lazy access to subpackages
======================
Before this release, all subpackages of SciPy (`cluster`, `fft`, `ndimage`,
etc.) had to be explicitly imported. Now, these subpackages are lazily
loaded
as soon as they are accessed, so that the following is possible (if desired
for interactive use, it's not actually recommended for code,
see :ref:`scipy-api`):
``import scipy as sp; sp.fft.dct([1, 2, 3])``. Advantages include: making it
easier to navigate SciPy in interactive terminals, reducing subpackage
import
conflicts (which before required
``import networkx.linalg as nla; import scipy.linalg as sla``),
and avoiding repeatedly having to update imports during teaching &
experimentation. Also see
[the related community specification document](
https://scientific-python.org/specs/spec-0001/).
SciPy switched to Meson as its build system
==================================
This is the first release that ships with [Meson](https://mesonbuild.com) as
the build system. When installing with ``pip`` or ``pypa/build``, Meson
will be
used (invoked via the ``meson-python`` build hook). This change brings
significant benefits - most importantly much faster build times, but also
better support for cross-compilation and cleaner build logs.
Note:
This release still ships with support for ``numpy.distutils``-based
builds
as well. Those can be invoked through the ``setup.py`` command-line
interface (e.g., ``python setup.py install``). It is planned to remove
``numpy.distutils`` support before the 1.10.0 release.
When building from source, a number of things have changed compared to
building
with ``numpy.distutils``:
- New build dependencies: ``meson``, ``ninja``, and ``pkg-config``.
``setuptools`` and ``wheel`` are no longer needed.
- BLAS and LAPACK libraries that are supported haven't changed, however the
discovery mechanism has: that is now using ``pkg-config`` instead of
hardcoded
paths or a ``site.cfg`` file.
- The build defaults to using OpenBLAS. See :ref:`blas-lapack-selection` for
details.
The two CLIs that can be used to build wheels are ``pip`` and ``build``. In
addition, the SciPy repo contains a ``python dev.py`` CLI for any kind of
development task (see its ``--help`` for details). For a comparison between
old
(``distutils``) and new (``meson``) build commands, see :ref:`meson-faq`.
For more information on the introduction of Meson support in SciPy, see
`gh-13615 <https://github.com/scipy/scipy/issues/13615>`__ and
`this blog post <
https://labs.quansight.org/blog/2021/07/moving-scipy-to-meson/>`__.
*********
Authors
*********
* endolith (12)
* Caio Agiani (2) +
* Emmy Albert (1) +
* Joseph Albert (1)
* Tania Allard (3)
* Carsten Allefeld (1) +
* Kartik Anand (1) +
* Virgile Andreani (2) +
* Weh Andreas (1) +
* Francesco Andreuzzi (5) +
* Kian-Meng Ang (2) +
* Gerrit Ansmann (1)
* Ar-Kareem (1) +
* Shehan Atukorala (1) +
* avishai231 (1) +
* Blair Azzopardi (1)
* Sayantika Banik (2) +
* Ross Barnowski (9)
* Christoph Baumgarten (3)
* Nickolai Belakovski (1)
* Peter Bell (9)
* Sebastian Berg (3)
* Bharath (1) +
* bobcatCA (2) +
* boussoffara (2) +
* Islem BOUZENIA (1) +
* Jake Bowhay (41) +
* Matthew Brett (11)
* Dietrich Brunn (2) +
* Michael Burkhart (2) +
* Evgeni Burovski (96)
* Matthias Bussonnier (20)
* Dominic C (1)
* Cameron (1) +
* CJ Carey (3)
* Thomas A Caswell (2)
* Ali Cetin (2) +
* Hood Chatham (5) +
* Klesk Chonkin (1)
* Craig Citro (1) +
* Dan Cogswell (1) +
* Luigi Cruz (1) +
* Anirudh Dagar (5)
* Brandon David (1)
* deepakdinesh1123 (1) +
* Denton DeLoss (1) +
* derbuihan (2) +
* Sameer Deshmukh (13) +
* Niels Doucet (1) +
* DWesl (8)
* eytanadler (30) +
* Thomas J. Fan (5)
* Isuru Fernando (3)
* Joseph Fox-Rabinovitz (1)
* Ryan Gibson (4) +
* Ralf Gommers (314)
* Srinivas Gorur-Shandilya (1) +
* Alex Griffing (2)
* h-vetinari (3)
* Matt Haberland (446)
* Tristan Hearn (1) +
* Jonathan Helgert (1) +
* Samuel Hinton (1) +
* Jake (1) +
* Stewart Jamieson (1) +
* Jan-Hendrik Müller (1)
* Yikun Jiang (1) +
* JuliaMelle01 (1) +
* jyuv (12) +
* Toshiki Kataoka (1)
* Chris Keefe (1) +
* Robert Kern (4)
* Andrew Knyazev (11)
* Matthias Koeppe (4) +
* Sergey Koposov (1)
* Volodymyr Kozachynskyi (1) +
* Yotaro Kubo (2) +
* Jacob Lapenna (1) +
* Peter Mahler Larsen (8)
* Eric Larson (4)
* Laurynas Mikšys (1) +
* Antony Lee (1)
* Gregory R. Lee (2)
* lerichi (1) +
* Tim Leslie (2)
* P. L. Lim (1)
* Smit Lunagariya (43)
* lutefiskhotdish (1) +
* Cong Ma (12)
* Syrtis Major (1)
* Nicholas McKibben (17)
* Melissa Weber Mendonça (10)
* Mark Mikofski (1)
* Jarrod Millman (13)
* Harsh Mishra (6)
* ML-Nielsen (3) +
* Matthew Murray (1) +
* Andrew Nelson (50)
* Dimitri Papadopoulos Orfanos (1) +
* Evgueni Ovtchinnikov (2) +
* Sambit Panda (1)
* Nick Papior (2)
* Tirth Patel (43)
* Petar Mlinarić (1)
* petroselo (1) +
* Ilhan Polat (64)
* Anthony Polloreno (1)
* Amit Portnoy (1) +
* Quentin Barthélemy (9)
* Patrick N. Raanes (1) +
* Tyler Reddy (144)
* Pamphile Roy (197)
* Vivek Roy (2) +
* sabonerune (1) +
* Niyas Sait (2) +
* Atsushi Sakai (25)
* Mazen Sayed (1) +
* Eduardo Schettino (5) +
* Daniel Schmitz (6) +
* Eli Schwartz (4) +
* SELEE (2) +
* Namami Shanker (4)
* siddhantwahal (1) +
* Gagandeep Singh (8)
* Soph (1) +
* Shivnaren Srinivasan (1) +
* Scott Staniewicz (1) +
* Leo C. Stein (4)
* Albert Steppi (7)
* Christopher Strickland (1) +
* Kai Striega (4)
* Søren Fuglede Jørgensen (1)
* Aleksandr Tagilov (1) +
* Masayuki Takagi (1) +
* Sai Teja (1) +
* Ewout ter Hoeven (2) +
* Will Tirone (2)
* Bas van Beek (7)
* Dhruv Vats (1)
* H. Vetinari (6)
* Arthur Volant (1)
* Samuel Wallan (5)
* Stefan van der Walt (8)
* Warren Weckesser (83)
* Anreas Weh (1)
* Nils Werner (1)
* Aviv Yaish (1) +
* Dowon Yi (1)
* Rory Yorke (1)
* Yosshi999 (1) +
* yuanx749 (2) +
* Gang Zhao (23)
* ZhihuiChen0903 (1)
* Pavel Zun (1) +
* David Zwicker (1) +
A total of 155 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 1.9.0
**************************
* `#1884 <https://github.com/scipy/scipy/issues/1884>`__: stats
distributions fit problems (Trac #1359)
* `#2047 <https://github.com/scipy/scipy/issues/2047>`__: derivatives()
method is missing in BivariateSpline (Trac #1522)
* `#2071 <https://github.com/scipy/scipy/issues/2071>`__: TST: stats:
\`check_sample_var\` should be two-sided (Trac #1546)
* `#2414 <https://github.com/scipy/scipy/issues/2414>`__: stats binom at
non-integer n (Trac #1895)
* `#2623 <https://github.com/scipy/scipy/issues/2623>`__:
stats.distributions statistical power of test suite
* `#2625 <https://github.com/scipy/scipy/issues/2625>`__: wilcoxon()
function does not return z-statistic
* `#2650 <https://github.com/scipy/scipy/issues/2650>`__: (2D)
Interpolation functions should work with complex numbers
* `#2834 <https://github.com/scipy/scipy/issues/2834>`__: ksone fitting
* `#2868 <https://github.com/scipy/scipy/issues/2868>`__: nan and
stats.percentileofscore
* `#2877 <https://github.com/scipy/scipy/issues/2877>`__: distributions.ncf
numerical issues
* `#2993 <https://github.com/scipy/scipy/issues/2993>`__:
optimize.approx_fprime & jacobians
* `#3214 <https://github.com/scipy/scipy/issues/3214>`__: stats
distributions ppf-cdf roundtrip
* `#3758 <https://github.com/scipy/scipy/issues/3758>`__: discrete
distribution defined by \`values\` with non-integer...
* `#4130 <https://github.com/scipy/scipy/issues/4130>`__: BUG: stats:
fisher_exact returns incorrect p-value
* `#4897 <https://github.com/scipy/scipy/issues/4897>`__: expm is 10x as
slow as matlab according to http://stackoverflow.com/questions/30048315
* `#5103 <https://github.com/scipy/scipy/issues/5103>`__: Docs suggest
scipy.sparse.linalg.expm_multiply supports LinearOperator...
* `#5266 <https://github.com/scipy/scipy/issues/5266>`__: Deprecated
routines in Netlib LAPACK >3.5.0
* `#5890 <https://github.com/scipy/scipy/issues/5890>`__: Undefined
behavior when using scipy.interpolate.RegularGridInterpolator...
* `#5982 <https://github.com/scipy/scipy/issues/5982>`__: Keyword collision
in scipy.stats.levy_stable.interval
* `#6472 <https://github.com/scipy/scipy/issues/6472>`__:
scipy.stats.invwishart does not check if scale matrix is symmetric
* `#6551 <https://github.com/scipy/scipy/issues/6551>`__: BUG: stats:
inconsistency in docs and behavior of gmean and hmean
* `#6624 <https://github.com/scipy/scipy/issues/6624>`__: incorrect
handling of nan by RegularGridInterpolator
* `#6882 <https://github.com/scipy/scipy/issues/6882>`__: Certain recursive
scipy.integrate.quad (e.g. dblquad and nquad)...
* `#7469 <https://github.com/scipy/scipy/issues/7469>`__: Misleading
interp2d documentation
* `#7560 <https://github.com/scipy/scipy/issues/7560>`__: Should
RegularGridInterpolator support length 1 dimensions?
* `#8850 <https://github.com/scipy/scipy/issues/8850>`__:
Scipy.interpolate.griddata Error : Exception ignored in:
'scipy.spatial.qhull._Qhull.__dealloc__'
* `#8928 <https://github.com/scipy/scipy/issues/8928>`__: BUG:
scipy.stats.norm wrong expected value of function when loc...
* `#9231 <https://github.com/scipy/scipy/issues/9231>`__: infinite loop in
stats.fisher_exact
* `#9313 <https://github.com/scipy/scipy/issues/9313>`__: geometric
distribution stats.geom returns negative values if...
* `#9524 <https://github.com/scipy/scipy/issues/9524>`__: interpn returns
nan with perfectly valid data
* `#9591 <https://github.com/scipy/scipy/issues/9591>`__:
scipy.interpolate.interp1d with kind=“previous” doesn't extrapolate...
* `#9815 <https://github.com/scipy/scipy/issues/9815>`__: stats.mode's
nan_policy 'propagate' not working?
* `#9944 <https://github.com/scipy/scipy/issues/9944>`__: documentation for
\`scipy.interpolate.RectBivariateSpline\` is...
* `#9999 <https://github.com/scipy/scipy/issues/9999>`__: BUG: malloc()
calls in Cython and C that are not checked for...
* `#10096 <https://github.com/scipy/scipy/issues/10096>`__: Add literature
reference for circstd (and circvar?)
* `#10446 <https://github.com/scipy/scipy/issues/10446>`__: RuntimeWarning:
invalid value encountered in stats.genextreme
* `#10577 <https://github.com/scipy/scipy/issues/10577>`__: Additional
discussion for scipy.stats roadmap
* `#10821 <https://github.com/scipy/scipy/issues/10821>`__: Errors with the
Yeo-Johnson Transform that also Appear in Scikit-Learn
* `#10983 <https://github.com/scipy/scipy/issues/10983>`__: LOBPCG
inefficinet when computing > 20% of eigenvalues
* `#11145 <https://github.com/scipy/scipy/issues/11145>`__: unexpected
SparseEfficiencyWarning at scipy.sparse.linalg.splu
* `#11406 <https://github.com/scipy/scipy/issues/11406>`__:
scipy.sparse.linalg.svds (v1.4.1) on singular matrix does not...
* `#11447 <https://github.com/scipy/scipy/issues/11447>`__:
scipy.interpolate.interpn: Handle ValueError('The points in dimension...
* `#11673 <https://github.com/scipy/scipy/issues/11673>`__: intlinprog:
integer linear program solver
* `#11742 <https://github.com/scipy/scipy/issues/11742>`__: MAINT: stats:
getting skewness alone takes 34000x longer than...
* `#11806 <https://github.com/scipy/scipy/issues/11806>`__: Unexpectedly
poor results when distribution fitting with \`weibull_min\`...
* `#11828 <https://github.com/scipy/scipy/issues/11828>`__:
UnivariateSpline gives varying results when multithreaded on...
* `#11948 <https://github.com/scipy/scipy/issues/11948>`__: fitting
discrete distributions
* `#12073 <https://github.com/scipy/scipy/issues/12073>`__: Add note in
documentation
* `#12456 <https://github.com/scipy/scipy/issues/12456>`__: Add generalized
mean calculation
* `#12480 <https://github.com/scipy/scipy/issues/12480>`__:
RectBivariateSpline derivative evaluator is slow
* `#12485 <https://github.com/scipy/scipy/issues/12485>`__: linprog returns
an incorrect message
* `#12506 <https://github.com/scipy/scipy/issues/12506>`__: ENH: stats:
one-sided p-values for statistical tests
* `#12545 <https://github.com/scipy/scipy/issues/12545>`__:
stats.pareto.fit raises RuntimeWarning
* `#12548 <https://github.com/scipy/scipy/issues/12548>`__:
scipy.stats.skew returning MaskedArray
* `#12633 <https://github.com/scipy/scipy/issues/12633>`__: Offer simpler
development workflow?
* `#12658 <https://github.com/scipy/scipy/issues/12658>`__:
scipy.stats.levy_stable.pdf can be inaccurate and return nan
* `#12838 <https://github.com/scipy/scipy/issues/12838>`__: Accept multiple
matrices in \`scipy.linalg.expm\`
* `#12848 <https://github.com/scipy/scipy/issues/12848>`__: DOC: stats:
multivariate distribution documentation issues
* `#12870 <https://github.com/scipy/scipy/issues/12870>`__: Levy Stable
Random Variates Code has a typo
* `#12871 <https://github.com/scipy/scipy/issues/12871>`__: Levy Stable
distribution uses parameterisation that is not location...
* `#13200 <https://github.com/scipy/scipy/issues/13200>`__: Errors made by
scipy.optimize.linprog
* `#13462 <https://github.com/scipy/scipy/issues/13462>`__: Too many
warnings and results objects in public API for scipy.stats
* `#13582 <https://github.com/scipy/scipy/issues/13582>`__: ENH: stats:
\`rv_continuous.stats\` with array shapes: use \`_stats\`...
* `#13615 <https://github.com/scipy/scipy/issues/13615>`__: RFC: switch to
Meson as a build system
* `#13632 <https://github.com/scipy/scipy/issues/13632>`__:
stats.rv_discrete is not checking that xk values are integers
* `#13655 <https://github.com/scipy/scipy/issues/13655>`__: MAINT:
stats.rv_generic: \`moment\` method falls back to \`_munp\`...
* `#13689 <https://github.com/scipy/scipy/issues/13689>`__: Wilcoxon does
not appropriately detect ties when mode=exact.
* `#13835 <https://github.com/scipy/scipy/issues/13835>`__: Change name of
\`alpha\` parameter in \`interval()\` method
* `#13872 <https://github.com/scipy/scipy/issues/13872>`__: Add method
details or reference to \`scipy.integrate.dblquad\`
* `#13912 <https://github.com/scipy/scipy/issues/13912>`__: Adding Poisson
Disc sampling to QMC
* `#13996 <https://github.com/scipy/scipy/issues/13996>`__: Fisk
distribution documentation typo
* `#14035 <https://github.com/scipy/scipy/issues/14035>`__:
\`roots_jacobi\` support for large parameter values
* `#14081 <https://github.com/scipy/scipy/issues/14081>`__:
\`scipy.optimize._linprog_simplex._apply_pivot\` relies on asymmetric...
* `#14095 <https://github.com/scipy/scipy/issues/14095>`__:
scipy.stats.norm.pdf takes too much time and memory
* `#14162 <https://github.com/scipy/scipy/issues/14162>`__: Thread safety
RectBivariateSpline
* `#14267 <https://github.com/scipy/scipy/issues/14267>`__: BUG: online doc
returns 404 - wrong \`reference\` in url
* `#14313 <https://github.com/scipy/scipy/issues/14313>`__: ks_2samp:
example description does not match example output
* `#14418 <https://github.com/scipy/scipy/issues/14418>`__: \`ttest_ind\`
for two sampled distributions with the same single...
* `#14455 <https://github.com/scipy/scipy/issues/14455>`__: Adds Mixed
Integer Linear Programming from highs
* `#14462 <https://github.com/scipy/scipy/issues/14462>`__: Shapiro test
returning negative p-value
* `#14471 <https://github.com/scipy/scipy/issues/14471>`__: methods
'revised simplex' and 'interior-point' are extremely...
* `#14505 <https://github.com/scipy/scipy/issues/14505>`__: \`Optimization
converged to parameters that are outside the range\`...
* `#14548 <https://github.com/scipy/scipy/issues/14548>`__: Add convention
flag to quanternion in \`Scipy.spatial.transform.rotation.Rotation\`
* `#14565 <https://github.com/scipy/scipy/issues/14565>`__:
optimize.minimize: Presence of callback causes method TNC to...
* `#14622 <https://github.com/scipy/scipy/issues/14622>`__: BUG: (sort of)
mannwhitneyu hits max recursion limit with imbalanced...
* `#14645 <https://github.com/scipy/scipy/issues/14645>`__: ENH:
MemoryError when trying to bootstrap with large amounts...
* `#14716 <https://github.com/scipy/scipy/issues/14716>`__: BUG: stats: The
\`loguniform\` distribution is overparametrized.
* `#14731 <https://github.com/scipy/scipy/issues/14731>`__: BUG: Incorrect
residual graph in scipy.sparse.csgraph.maximum_flow
* `#14745 <https://github.com/scipy/scipy/issues/14745>`__: BUG:
scipy.ndimage.convolve documentation is incorrect
* `#14750 <https://github.com/scipy/scipy/issues/14750>`__: ENH: Add one
more derivative-free optimization method
* `#14777 <https://github.com/scipy/scipy/issues/14777>`__: BUG: Wrong
limit and no warning in stats.t for df=np.inf
* `#14793 <https://github.com/scipy/scipy/issues/14793>`__: BUG: Missing
pairs in cKDTree.query_pairs when coordinates contain...
* `#14861 <https://github.com/scipy/scipy/issues/14861>`__: BUG: unclear
error message when all bounds are all equal for...
* `#14889 <https://github.com/scipy/scipy/issues/14889>`__: BUG: NumPy's
\`random\` module should not be in the \`scipy\`...
* `#14914 <https://github.com/scipy/scipy/issues/14914>`__: CI job with
code coverage is failing (yet again)
* `#14926 <https://github.com/scipy/scipy/issues/14926>`__:
RegularGridInterpolator should be called RectilinearGridInterpolator
* `#14994 <https://github.com/scipy/scipy/issues/14994>`__: BUG: Levy stable
* `#15009 <https://github.com/scipy/scipy/issues/15009>`__: BUG:
scipy.stats.multiscale_graphcorr p-values are computed differently...
* `#15059 <https://github.com/scipy/scipy/issues/15059>`__: BUG:
documentation inconsistent with code for find_peaks_cwt
* `#15082 <https://github.com/scipy/scipy/issues/15082>`__: DOC: Sampling
from the truncated normal
* `#15125 <https://github.com/scipy/scipy/issues/15125>`__: Deprecate
\`scipy.spatial.distance.kulsinski\`
* `#15133 <https://github.com/scipy/scipy/issues/15133>`__: BUG: Log_norm
description is incorrect and produces incorrect...
* `#15150 <https://github.com/scipy/scipy/issues/15150>`__: BUG:
RBFInterpolator is much slower than Rbf for vector data
* `#15172 <https://github.com/scipy/scipy/issues/15172>`__: BUG: special:
High relative error in \`log_ndtr\`
* `#15195 <https://github.com/scipy/scipy/issues/15195>`__: BUGS: stats:
Tracking issue for distributions that warn and/or...
* `#15199 <https://github.com/scipy/scipy/issues/15199>`__: BUG: Error
occured \`spsolve_triangular\`
* `#15210 <https://github.com/scipy/scipy/issues/15210>`__: BUG: A sparse
matrix raises a ValueError when \`__rmul__\` with...
* `#15245 <https://github.com/scipy/scipy/issues/15245>`__: MAINT:
scipy.stats._levy_stable should be treated as subpackage...
* `#15252 <https://github.com/scipy/scipy/issues/15252>`__: DOC:
Multivariate normal CDF docstring typo
* `#15296 <https://github.com/scipy/scipy/issues/15296>`__: BUG: SciPy
1.7.x build failure on Cygwin
* `#15308 <https://github.com/scipy/scipy/issues/15308>`__: BUG: OpenBLAS
0.3.18 support
* `#15338 <https://github.com/scipy/scipy/issues/15338>`__: DOC: Rename
\`\*args\` param in \`f_oneway\` to \`\*samples\`
* `#15345 <https://github.com/scipy/scipy/issues/15345>`__: BUG:
boschloo_exact gives pvalue > 1 (and sometimes nan)
* `#15368 <https://github.com/scipy/scipy/issues/15368>`__: build warnings
for \`unuran_wrapper.pyx\`
* `#15373 <https://github.com/scipy/scipy/issues/15373>`__: BUG: Tippett’s
and Pearson’s method for combine_pvalues are not...
* `#15415 <https://github.com/scipy/scipy/issues/15415>`__:
\`integrate.quad_vec\` missing documentation for \`limit\` parameter
* `#15456 <https://github.com/scipy/scipy/issues/15456>`__: Segfault in
HiGHS code when building with Mingw-w64 on Windows
* `#15458 <https://github.com/scipy/scipy/issues/15458>`__: DOC:
Documentation inaccuracy of scipy.interpolate.bisplev
* `#15488 <https://github.com/scipy/scipy/issues/15488>`__: ENH: missing
examples for scipy.optimize in docs
* `#15507 <https://github.com/scipy/scipy/issues/15507>`__: BUG:
scipy.optimize.linprog: the algorithm determines the problem...
* `#15508 <https://github.com/scipy/scipy/issues/15508>`__: BUG: Incorrect
error message in multivariate_normal
* `#15541 <https://github.com/scipy/scipy/issues/15541>`__: BUG:
scipy.stats.powerlaw, why should x ∈ (0,1)? x can exceed...
* `#15551 <https://github.com/scipy/scipy/issues/15551>`__: MAINT: stats:
deprecating non-numeric array support in \`stats.mode\`
* `#15568 <https://github.com/scipy/scipy/issues/15568>`__: BENCH/CI:
Benchmark timeout
* `#15572 <https://github.com/scipy/scipy/issues/15572>`__: BUG:
\`scipy.spatial.transform.rotation\`, wrong deprecation...
* `#15575 <https://github.com/scipy/scipy/issues/15575>`__: BUG: Tests
failing for initial build [arm64 machine]
* `#15589 <https://github.com/scipy/scipy/issues/15589>`__: BUG:
scipy.special.factorialk docstring inconsistent with behaviour
* `#15601 <https://github.com/scipy/scipy/issues/15601>`__: BUG:
Scalefactors for \`signal.csd\` with \`average=='median'\`...
* `#15617 <https://github.com/scipy/scipy/issues/15617>`__: ENH: stats: all
multivariate distributions should be freezable
* `#15631 <https://github.com/scipy/scipy/issues/15631>`__: BUG: stats.fit:
intermittent failure in doctest
* `#15635 <https://github.com/scipy/scipy/issues/15635>`__: CI:ASK: Remove
LaTeX doc builds?
* `#15638 <https://github.com/scipy/scipy/issues/15638>`__: DEV: \`dev.py\`
missing PYTHONPATH when building doc
* `#15644 <https://github.com/scipy/scipy/issues/15644>`__: DOC:
stats.ks_1samp: incorrect commentary in examples
* `#15666 <https://github.com/scipy/scipy/issues/15666>`__: CI: CircleCI
build_docs failure on main
* `#15670 <https://github.com/scipy/scipy/issues/15670>`__: BUG:
AssertionError in test__dual_annealing.py in test_bounds_class
* `#15689 <https://github.com/scipy/scipy/issues/15689>`__: BUG: default
value of shape parameter in fit method of rv_continuous...
* `#15692 <https://github.com/scipy/scipy/issues/15692>`__: CI: scipy.scipy
(Main refguide_asv_check) failure in main
* `#15696 <https://github.com/scipy/scipy/issues/15696>`__: DOC: False
information in docs - scipy.stats.ttest_1samp
* `#15700 <https://github.com/scipy/scipy/issues/15700>`__: BUG:
AssertionError in test_propack.py
* `#15730 <https://github.com/scipy/scipy/issues/15730>`__: BUG: "terminate
called after throwing an instance of 'std::out_of_range'"...
* `#15732 <https://github.com/scipy/scipy/issues/15732>`__: DEP: execute
deprecation of inexact indices into sparse matrices
* `#15734 <https://github.com/scipy/scipy/issues/15734>`__: DEP: deal with
deprecation of ndim >1 in bspline
* `#15735 <https://github.com/scipy/scipy/issues/15735>`__: DEP: add actual
DeprecationWarning for sym_pos-keyword of scipy.linalg.solve
* `#15736 <https://github.com/scipy/scipy/issues/15736>`__: DEP: Remove
\`debug\` keyword from \`scipy.linalg.solve_\*\`
* `#15737 <https://github.com/scipy/scipy/issues/15737>`__: DEP: Execute
deprecation of pinv2
* `#15739 <https://github.com/scipy/scipy/issues/15739>`__: DEP: sharpen
deprecation for >1-dim inputs in optimize.minimize
* `#15740 <https://github.com/scipy/scipy/issues/15740>`__: DEP: Execute
deprecation for squeezing input vectors in spatial.distance
* `#15741 <https://github.com/scipy/scipy/issues/15741>`__: DEP: remove
spatial.distance.matching
* `#15742 <https://github.com/scipy/scipy/issues/15742>`__: DEP: raise if
fillvalue cannot be cast to output type in \`signal.convolve2d\`
* `#15743 <https://github.com/scipy/scipy/issues/15743>`__: DEP: enforce
radius for \`spatial.SphericalVoronoi\`
* `#15744 <https://github.com/scipy/scipy/issues/15744>`__: DEP: sharpen
deprecation of dual_annealing argument 'local_search_options'
* `#15745 <https://github.com/scipy/scipy/issues/15745>`__: DEP: remove
signal.windows.hanning
* `#15746 <https://github.com/scipy/scipy/issues/15746>`__: DEP: remove
k=None from KDTree.query
* `#15747 <https://github.com/scipy/scipy/issues/15747>`__: DEP: stats:
remove support for \`_rvs\` without \`size\` parameter
* `#15750 <https://github.com/scipy/scipy/issues/15750>`__: DEP: remove
\`n_jobs\` from kdtree
* `#15751 <https://github.com/scipy/scipy/issues/15751>`__: DEP: remove
ftol/xtol from neldermead
* `#15752 <https://github.com/scipy/scipy/issues/15752>`__: DEP: remove
right keyword from interpolate.PPoly.extend
* `#15753 <https://github.com/scipy/scipy/issues/15753>`__: DEP: remove
\`_ppform\`
* `#15754 <https://github.com/scipy/scipy/issues/15754>`__: DEP: Remove
mlab mode from dendrogram
* `#15757 <https://github.com/scipy/scipy/issues/15757>`__: DEP:
docstring-related deprecations
* `#15758 <https://github.com/scipy/scipy/issues/15758>`__: DEP: remove
LAPACK \*gegv functions
* `#15759 <https://github.com/scipy/scipy/issues/15759>`__: DEP: remove old
BSR methods
* `#15760 <https://github.com/scipy/scipy/issues/15760>`__: DEP: remove
py_vq2
* `#15761 <https://github.com/scipy/scipy/issues/15761>`__: DEP: remove
stats.itemfreq
* `#15762 <https://github.com/scipy/scipy/issues/15762>`__: DEP: remove
stats.median_absolute_deviation
* `#15773 <https://github.com/scipy/scipy/issues/15773>`__: BUG: iirfilter
allows Wn[1] < Wn[0] for band-pass and band-stop...
* `#15780 <https://github.com/scipy/scipy/issues/15780>`__: BUG: CI on
Azure broken with PyTest 7.1
* `#15843 <https://github.com/scipy/scipy/issues/15843>`__: BUG:
scipy.stats.brunnermunzel incorrectly returns nan for undocumented...
* `#15854 <https://github.com/scipy/scipy/issues/15854>`__: CI: Windows
Meson job failing sometimes on OpenBLAS binary download
* `#15866 <https://github.com/scipy/scipy/issues/15866>`__: BUG/CI: Wrong
python version used for tests labeled "Linux Tests...
* `#15899 <https://github.com/scipy/scipy/issues/15899>`__: BUG:
_calc_uniform_order_statistic_medians documentation example...
* `#15927 <https://github.com/scipy/scipy/issues/15927>`__: BUG:
Inconsistent handling of INF and NAN in signal.convolve
* `#15931 <https://github.com/scipy/scipy/issues/15931>`__: BUG:
scipy/io/arff/tests/test_arffread.py::TestNoData::test_nodata...
* `#15960 <https://github.com/scipy/scipy/issues/15960>`__: BUG:
Documentation Error in scipy.signal.lfilter
* `#15961 <https://github.com/scipy/scipy/issues/15961>`__: BUG:
scipy.stats.beta and bernoulli fails with float32 inputs
* `#15962 <https://github.com/scipy/scipy/issues/15962>`__: Race condition
in macOS Meson build between \`_matfuncs_expm\`...
* `#15987 <https://github.com/scipy/scipy/issues/15987>`__: CI:
\`np.matrix\` deprecation warning
* `#16007 <https://github.com/scipy/scipy/issues/16007>`__: BUG: Confusing
documentation in \`ttest_ind_from_stats\`
* `#16011 <https://github.com/scipy/scipy/issues/16011>`__: BUG: typo in
documentation for scipy.optimize.basinhopping
* `#16020 <https://github.com/scipy/scipy/issues/16020>`__: BUG: dev.py
FileNotFoundError
* `#16027 <https://github.com/scipy/scipy/issues/16027>`__: jc should be
(n-1)/2
* `#16031 <https://github.com/scipy/scipy/issues/16031>`__: BUG:
scipy.sparse.linalg.norm does not work on sparse arrays
* `#16036 <https://github.com/scipy/scipy/issues/16036>`__: Missing \`f\`
prefix on f-strings
* `#16054 <https://github.com/scipy/scipy/issues/16054>`__: Bug: Meson
build with dev.py fails to detect SciPy with debian...
* `#16065 <https://github.com/scipy/scipy/issues/16065>`__: BUG: Gitpod
build with \`python runtests.py\` fails; move to...
* `#16074 <https://github.com/scipy/scipy/issues/16074>`__: BUG: refguide
check fails with \`numpydoc==1.3\`
* `#16081 <https://github.com/scipy/scipy/issues/16081>`__: CI, MAINT:
minor refguide failure with stats.describe
* `#16121 <https://github.com/scipy/scipy/issues/16121>`__: DOC:
scipy.interpolate.RegularGridInterpolator and interpn works...
* `#16162 <https://github.com/scipy/scipy/issues/16162>`__: BUG: curve_fit
gives wrong results with Pandas float32
* `#16171 <https://github.com/scipy/scipy/issues/16171>`__: BUG:
scipy.stats.multivariate_hypergeom.rvs raises ValueError...
* `#16219 <https://github.com/scipy/scipy/issues/16219>`__:
\`TestSobol.test_0dim\` failure on 32-bit Linux job
* `#16233 <https://github.com/scipy/scipy/issues/16233>`__: BUG: Memory
leak in function \`sf_error\` due to new reference...
* `#16254 <https://github.com/scipy/scipy/issues/16254>`__: DEP: add
deprecation warning to \`maxiter\` kwarg in \`_minimize_tnc\`
* `#16292 <https://github.com/scipy/scipy/issues/16292>`__: BUG:
compilation error: no matching constructor for initialization...
* `#16337 <https://github.com/scipy/scipy/issues/16337>`__: TST:
stats/tests/test_axis_nan_policy.py::test_axis_nan_policy_full...
* `#16347 <https://github.com/scipy/scipy/issues/16347>`__: TST, MAINT:
32-bit Linux test failures in wheels repo
* `#16358 <https://github.com/scipy/scipy/issues/16358>`__: TST, MAINT:
test_theilslopes_warnings fails on 32-bit Windows
* `#16378 <https://github.com/scipy/scipy/issues/16378>`__: DOC:
pydata-sphinx-theme v0.9 defaults to darkmode depending...
* `#16381 <https://github.com/scipy/scipy/issues/16381>`__: BUG: bootstrap
get ValueError for paired statistic
* `#16382 <https://github.com/scipy/scipy/issues/16382>`__: BUG:
truncnorm.fit does not fit correctly
* `#16403 <https://github.com/scipy/scipy/issues/16403>`__: MAINT: NumPy
main will require a few updates due to new floating...
* `#16409 <https://github.com/scipy/scipy/issues/16409>`__: BUG: SIGSEGV in
qhull when array type is wrong
* `#16419 <https://github.com/scipy/scipy/issues/16419>`__: BUG:
scipy.stats.nbinom.logcdf returns wrong results when some...
* `#16426 <https://github.com/scipy/scipy/issues/16426>`__: BUG:
stats.shapiro inplace modification of user array
* `#16465 <https://github.com/scipy/scipy/issues/16465>`__: BLD: new sdist
has some metadata issues
* `#16466 <https://github.com/scipy/scipy/issues/16466>`__: BUG: linprog
failure - OptimizeResult.x returns NoneType
* `#16523 <https://github.com/scipy/scipy/issues/16523>`__: BUG: test
failure in pre-release job: \`TestFactorized.test_singular_with_umfpack\`
* `#16540 <https://github.com/scipy/scipy/issues/16540>`__: BLD: meson
0.63.0 and new CI testing failures on Linux
**************************
Pull requests for 1.9.0
**************************
* `#9523 <https://github.com/scipy/scipy/pull/9523>`__: ENH: improvements
to the Stable distribution
* `#11829 <https://github.com/scipy/scipy/pull/11829>`__: Fixes safe
handling of small singular values in svds.
* `#13490 <https://github.com/scipy/scipy/pull/13490>`__: DEV: stats: check
for distribution/method keyword name collisions
* `#13572 <https://github.com/scipy/scipy/pull/13572>`__: ENH: n-D and
nan_policy support for scipy.stats.percentileofscore
* `#13918 <https://github.com/scipy/scipy/pull/13918>`__: ENH: Poisson Disk
sampling for QMC
* `#13955 <https://github.com/scipy/scipy/pull/13955>`__: DOC: SciPy
extensions for code style and docstring guidelines.
* `#14003 <https://github.com/scipy/scipy/pull/14003>`__: DOC: clarify the
definition of the pdf of \`stats.fisk\`
* `#14036 <https://github.com/scipy/scipy/pull/14036>`__: ENH: fix
numerical issues in roots_jacobi and related special...
* `#14087 <https://github.com/scipy/scipy/pull/14087>`__: DOC: explain null
hypotheses in ttest functions
* `#14142 <https://github.com/scipy/scipy/pull/14142>`__: DOC: Add better
error message for unpacking issue
* `#14143 <https://github.com/scipy/scipy/pull/14143>`__: Support
LinearOperator in expm_multiply
* `#14300 <https://github.com/scipy/scipy/pull/14300>`__: ENH: Adding
DIRECT algorithm to \`\`scipy.optimize\`\`
* `#14576 <https://github.com/scipy/scipy/pull/14576>`__: ENH: stats: add
one-sample Monte Carlo hypothesis test
* `#14642 <https://github.com/scipy/scipy/pull/14642>`__: ENH: add Lloyd's
algorithm to \`scipy.spatial\` to improve a...
* `#14718 <https://github.com/scipy/scipy/pull/14718>`__: DOC: stats:
adjust bootstrap doc to emphasize that batch controls...
* `#14781 <https://github.com/scipy/scipy/pull/14781>`__: BUG: stats:
handle infinite \`df\` in \`t\` distribution
* `#14847 <https://github.com/scipy/scipy/pull/14847>`__: ENH: BLD: enable
building SciPy with Meson
* `#14877 <https://github.com/scipy/scipy/pull/14877>`__: DOC: ndimage
convolve origin documentation (#14745)
* `#15001 <https://github.com/scipy/scipy/pull/15001>`__: ENH:
sparse.linalg: More comprehensive tests (Not only for 1-D...
* `#15026 <https://github.com/scipy/scipy/pull/15026>`__: ENH: allow
approx_fprime to work with vector-valued func
* `#15079 <https://github.com/scipy/scipy/pull/15079>`__: ENH:linalg: expm
overhaul and ndarray processing
* `#15140 <https://github.com/scipy/scipy/pull/15140>`__: ENH: Make
\`stats.kappa3\` work with array inputs
* `#15154 <https://github.com/scipy/scipy/pull/15154>`__: DOC: a small bug
in docstring example of \`lobpcg\`
* `#15165 <https://github.com/scipy/scipy/pull/15165>`__: MAINT: Avoid
using del to remove numpy symbols in scipy.__init__.py
* `#15168 <https://github.com/scipy/scipy/pull/15168>`__: REL: set version
to 1.9.0.dev0
* `#15169 <https://github.com/scipy/scipy/pull/15169>`__: DOC: fix
formatting of Methods in multivariate distributions
* `#15171 <https://github.com/scipy/scipy/pull/15171>`__: \`AttrDict\`
raises \`AttributeError\` on missing attributes,...
* `#15176 <https://github.com/scipy/scipy/pull/15176>`__: BUG: special:
Clean up some private namespaces and fix \`special.__all__\`
* `#15182 <https://github.com/scipy/scipy/pull/15182>`__: MAINT: fix typos
principle -> principal
* `#15184 <https://github.com/scipy/scipy/pull/15184>`__: MAINT: CI: Rename
'Nightly CPython' job to 'NumPy main'
* `#15187 <https://github.com/scipy/scipy/pull/15187>`__: BUG: special: Fix
numerical precision issue of log_ndtr
* `#15188 <https://github.com/scipy/scipy/pull/15188>`__: MAINT:
sparse.linalg: Using more concise and user-friendly f-string...
* `#15190 <https://github.com/scipy/scipy/pull/15190>`__: MAINT:
interpolate: speed up the RBFInterpolator evaluation with...
* `#15196 <https://github.com/scipy/scipy/pull/15196>`__: BUG: stats: Fix
handling of support endpoints in two distributions.
* `#15197 <https://github.com/scipy/scipy/pull/15197>`__: MAINT: build
dependency updates
* `#15202 <https://github.com/scipy/scipy/pull/15202>`__: MAINT: special:
Don't use macro for 'extern "C"' in strictly...
* `#15205 <https://github.com/scipy/scipy/pull/15205>`__: BUG: stats: Fix
spurious warnings generated by several distributions.
* `#15207 <https://github.com/scipy/scipy/pull/15207>`__: MAINT:
sparse.linalg: Using the interface with the trace of sparse...
* `#15219 <https://github.com/scipy/scipy/pull/15219>`__: DOC: Corrected
docstring of ndimage.sum_labels
* `#15223 <https://github.com/scipy/scipy/pull/15223>`__: DOC: x0->x for
finite_diff_rel_step docstring closes #15208
* `#15230 <https://github.com/scipy/scipy/pull/15230>`__: ENH: expose
submodules via \`__getattr__\` to allow lazy access
* `#15234 <https://github.com/scipy/scipy/pull/15234>`__: TST: stats: mark
very slow tests as \`xslow\`
* `#15235 <https://github.com/scipy/scipy/pull/15235>`__: BUG: Fix rmul
dispatch of spmatrix
* `#15243 <https://github.com/scipy/scipy/pull/15243>`__: DOC: stats: add
reference for gstd
* `#15244 <https://github.com/scipy/scipy/pull/15244>`__: Added example for
morphology: binary_dilation and erosion
* `#15250 <https://github.com/scipy/scipy/pull/15250>`__: ENH: Make
\`stats.kappa4\` work with array
* `#15251 <https://github.com/scipy/scipy/pull/15251>`__: [MRG] ENH: Update
\`laplacian\` function introducing the new...
* `#15255 <https://github.com/scipy/scipy/pull/15255>`__: MAINT: Remove
\`distutils\` usage in \`runtests.py\` to fix deprecation...
* `#15259 <https://github.com/scipy/scipy/pull/15259>`__: MAINT: optimize,
special, signal: Use custom warnings instead...
* `#15261 <https://github.com/scipy/scipy/pull/15261>`__: DOC: Add inline
comment in Hausdorff distance calculation
* `#15265 <https://github.com/scipy/scipy/pull/15265>`__: DOC: update
.mailmap
* `#15266 <https://github.com/scipy/scipy/pull/15266>`__: CI: remove
coverage usage from Windows jobs
* `#15269 <https://github.com/scipy/scipy/pull/15269>`__: BLD: add setup.py
for \`stats/_levy_stable\`
* `#15272 <https://github.com/scipy/scipy/pull/15272>`__: BUG: Fix owens_t
function when a tends to infinity
* `#15274 <https://github.com/scipy/scipy/pull/15274>`__: DOC: fix
docstring in _cdf() function of _multivariate.py
* `#15284 <https://github.com/scipy/scipy/pull/15284>`__: TST: silence
RuntimeWarning from \`np.det\` in \`signal.place_poles\`...
* `#15285 <https://github.com/scipy/scipy/pull/15285>`__: CI: simplify
32-bit Linux testing
* `#15286 <https://github.com/scipy/scipy/pull/15286>`__: MAINT: Highs
submodule CI issue - use shallow cloning
* `#15289 <https://github.com/scipy/scipy/pull/15289>`__: DOC: Misc
numpydoc formatting.
* `#15291 <https://github.com/scipy/scipy/pull/15291>`__: DOC: some more
docstring/numpydoc formatting.
* `#15294 <https://github.com/scipy/scipy/pull/15294>`__: ENH: add
integrality constraints for linprog
* `#15300 <https://github.com/scipy/scipy/pull/15300>`__: DOC: Misc manual
docs updates.
* `#15302 <https://github.com/scipy/scipy/pull/15302>`__: DOC: More
docstring reformatting.
* `#15304 <https://github.com/scipy/scipy/pull/15304>`__: CI: fix Gitpod
build by adding HiGHS submodule checkout
* `#15305 <https://github.com/scipy/scipy/pull/15305>`__: BLD: update NumPy
to >=1.18.5, setuptools to <60.0
* `#15309 <https://github.com/scipy/scipy/pull/15309>`__: CI: update
OpenBLAS to 0.3.18 in Azure jobs
* `#15310 <https://github.com/scipy/scipy/pull/15310>`__: ENH: signal: Add
Kaiser-Bessel derived window function
* `#15312 <https://github.com/scipy/scipy/pull/15312>`__: BUG: special: Fix
loss of precision in pseudo_huber when r/delta...
* `#15314 <https://github.com/scipy/scipy/pull/15314>`__: MAINT: changed
needed after renaming \`master\` branch to \`main\`
* `#15315 <https://github.com/scipy/scipy/pull/15315>`__: MAINT: account
for NumPy master -> main renaming
* `#15325 <https://github.com/scipy/scipy/pull/15325>`__: CI: reshuffle two
Windows Azure CI jobs, and don't run 'full'...
* `#15330 <https://github.com/scipy/scipy/pull/15330>`__: ENH: optimize:
support undocumented option \`full_output\` for...
* `#15336 <https://github.com/scipy/scipy/pull/15336>`__: DOC: update
detailed roadmap
* `#15344 <https://github.com/scipy/scipy/pull/15344>`__: MAINT:stats:
Renamed \`\*args\` param to \`\*samples\`
* `#15347 <https://github.com/scipy/scipy/pull/15347>`__: ENH: stats: add
weights in harmonic mean
* `#15352 <https://github.com/scipy/scipy/pull/15352>`__: BLD: put upper
bound \`setuptools<60.0\` in conda environment...
* `#15357 <https://github.com/scipy/scipy/pull/15357>`__: ENH: interpolate:
add new methods for RegularGridInterpolator.
* `#15360 <https://github.com/scipy/scipy/pull/15360>`__: MAINT: speed up
rvs of nakagami in scipy.stats
* `#15361 <https://github.com/scipy/scipy/pull/15361>`__: MAINT:
sparse.linalg: Remove unnecessary operations
* `#15366 <https://github.com/scipy/scipy/pull/15366>`__: Make signal
functions respect input dtype.
* `#15370 <https://github.com/scipy/scipy/pull/15370>`__: DOC: governance
members moved to scipy.org
* `#15371 <https://github.com/scipy/scipy/pull/15371>`__: MAINT: stats: fix
unuran compile-time warnings
* `#15378 <https://github.com/scipy/scipy/pull/15378>`__: MAINT: remove
version pinning on gmpy2
* `#15380 <https://github.com/scipy/scipy/pull/15380>`__: ENH/MAINT:
Version switcher from the sphinx theme
* `#15385 <https://github.com/scipy/scipy/pull/15385>`__: DOC: fix typo
* `#15387 <https://github.com/scipy/scipy/pull/15387>`__: MAINT: Fix a
couple build warnings.
* `#15388 <https://github.com/scipy/scipy/pull/15388>`__: DOC: interpolate:
improve \`RectBivariateSpline\` doc
* `#15391 <https://github.com/scipy/scipy/pull/15391>`__: ENH: graph
Laplacian as LinearOperator, add dtype and symmetrized...
* `#15392 <https://github.com/scipy/scipy/pull/15392>`__: ENH: integrality
constraints for differential_evolution
* `#15394 <https://github.com/scipy/scipy/pull/15394>`__: ENH: optimize:
improvements to \`LinearConstraint\` class
* `#15396 <https://github.com/scipy/scipy/pull/15396>`__: DOC: Git://
protocol on github pending removal.
* `#15399 <https://github.com/scipy/scipy/pull/15399>`__: ENH: stats: add
\`axis\` tuple and \`nan_policy\` to \`hmean\`
* `#15400 <https://github.com/scipy/scipy/pull/15400>`__: MAINT:
sparse.linalg: Move the test function of GMRES to the...
* `#15401 <https://github.com/scipy/scipy/pull/15401>`__: MAINT: DOC:
analytics from analytics.scientific-python
* `#15402 <https://github.com/scipy/scipy/pull/15402>`__: DOC: update
pip_quickstart (submodules)
* `#15406 <https://github.com/scipy/scipy/pull/15406>`__: MAINT: use
\`Rotation.Random\` instead of manual generation
* `#15407 <https://github.com/scipy/scipy/pull/15407>`__: BLD: meson: split
pyx->c and Python extension build
* `#15408 <https://github.com/scipy/scipy/pull/15408>`__: MAINT: check for
negative weights in \`Rotation.align_vectors\`
* `#15410 <https://github.com/scipy/scipy/pull/15410>`__: ENH: add
\`order\` parameter to specify quaternion format
* `#15413 <https://github.com/scipy/scipy/pull/15413>`__: ENH: stats: add
\`rvs\` method for \`gennorm\`
* `#15424 <https://github.com/scipy/scipy/pull/15424>`__: ENH: bypass
LinearOperator in lobpcg for small-size cases
* `#15427 <https://github.com/scipy/scipy/pull/15427>`__: MAINT: Manage
imports in \`sparse.linalg\`
* `#15431 <https://github.com/scipy/scipy/pull/15431>`__: Revert "ENH: add
\`order\` parameter to specify quaternion format"
* `#15436 <https://github.com/scipy/scipy/pull/15436>`__: ENH: stats: fit:
function for fitting discrete and continuous...
* `#15439 <https://github.com/scipy/scipy/pull/15439>`__: ENH:
differential_evolution vectorized kwd
* `#15440 <https://github.com/scipy/scipy/pull/15440>`__: MAINT: Try to
detect scipy path in \`runtests.py\` while not...
* `#15442 <https://github.com/scipy/scipy/pull/15442>`__: MAINT: Fix meson
build warnings on windows
* `#15443 <https://github.com/scipy/scipy/pull/15443>`__: DOC, BUG: Fix
error in heading remapping for custom \`scipy.optimize:function\` domain
directive
* `#15445 <https://github.com/scipy/scipy/pull/15445>`__: ENH: stats: add
\`nnlf\` method for discrete distributions
* `#15451 <https://github.com/scipy/scipy/pull/15451>`__: BLD: further
refinement of Cython dependencies
* `#15452 <https://github.com/scipy/scipy/pull/15452>`__: BUG/DOC/TST:
combine_pvalues: fix Tippett and Pearson
* `#15453 <https://github.com/scipy/scipy/pull/15453>`__: ENH: Make
dual_annealing work with Bounds class
* `#15454 <https://github.com/scipy/scipy/pull/15454>`__: BLD: remove
dependency on libnpymath from \`spatial._distance_wrap\`
* `#15455 <https://github.com/scipy/scipy/pull/15455>`__: ENH: Support
Bounds class in shgo
* `#15459 <https://github.com/scipy/scipy/pull/15459>`__: DOC: documents
parameter \`limit\` for function \`integrate.quad_vec\`.
* `#15460 <https://github.com/scipy/scipy/pull/15460>`__: ENH: optimize:
milp: mixed integer linear programming
* `#15462 <https://github.com/scipy/scipy/pull/15462>`__: CI: switch one
macOS CI job from distutils to meson
* `#15464 <https://github.com/scipy/scipy/pull/15464>`__: ENH: Performance
improvements for \`linear_sum_assignment\`
* `#15465 <https://github.com/scipy/scipy/pull/15465>`__: DOC: stats: add
weights in formulas and examples for gmean and...
* `#15466 <https://github.com/scipy/scipy/pull/15466>`__: MAINT: fix
compile errors with CPython 3.11
* `#15469 <https://github.com/scipy/scipy/pull/15469>`__: MAINT: Remove
\`distutils\` usage
* `#15470 <https://github.com/scipy/scipy/pull/15470>`__: ENH:
\`stats.qmc\`: faster hypercube point comparison and scrambling...
* `#15472 <https://github.com/scipy/scipy/pull/15472>`__: ENH: stats: add
\`axis\` tuple and \`nan_policy\` to \`skew\`
* `#15485 <https://github.com/scipy/scipy/pull/15485>`__: BLD: updates to
Meson build files for more correct linking and...
* `#15487 <https://github.com/scipy/scipy/pull/15487>`__: MAINT: typo in
bsplines.py
* `#15496 <https://github.com/scipy/scipy/pull/15496>`__: DOC: signal:
fixed parameter 'order' for butter bandpass
* `#15497 <https://github.com/scipy/scipy/pull/15497>`__: MAINT: update
vendored uarray
* `#15499 <https://github.com/scipy/scipy/pull/15499>`__: CI: remove
matplotlib from 32-bit linux job, it fails to build
* `#15501 <https://github.com/scipy/scipy/pull/15501>`__: MAINT: Remove
unused variable warnings
* `#15502 <https://github.com/scipy/scipy/pull/15502>`__: DEV: meson: allow
specifying build directory and install prefix
* `#15512 <https://github.com/scipy/scipy/pull/15512>`__: MAINT:
optimize.linprog: make HiGHS default and deprecate old...
* `#15523 <https://github.com/scipy/scipy/pull/15523>`__: DOC: fixed the
link for fluiddyn's transonic vision in dev/roadmap.html.
* `#15526 <https://github.com/scipy/scipy/pull/15526>`__: MAINT: add qrvs
method to NumericalInversePolynomial in scipy.stats
* `#15529 <https://github.com/scipy/scipy/pull/15529>`__: DOC: forward port
1.8.0 relnotes
* `#15532 <https://github.com/scipy/scipy/pull/15532>`__: TST: parametrize
test_ldl_type_size_combinations
* `#15546 <https://github.com/scipy/scipy/pull/15546>`__: DOC: missing
section for metrics
* `#15555 <https://github.com/scipy/scipy/pull/15555>`__: MAINT: make
unuran clone shallow
* `#15557 <https://github.com/scipy/scipy/pull/15557>`__: DOC: fixes
inaccuracy in bisplev documentation
* `#15559 <https://github.com/scipy/scipy/pull/15559>`__: BENCH: selection
of linalg solvers to facilitate expansion
* `#15560 <https://github.com/scipy/scipy/pull/15560>`__: DOC: types and
return values for Bessel Functions
* `#15561 <https://github.com/scipy/scipy/pull/15561>`__: MAINT: update
HiGHS submodule to include fix for Windows segfault
* `#15563 <https://github.com/scipy/scipy/pull/15563>`__: CI: add a Windows
CI job on GitHub Actions using Meson
* `#15564 <https://github.com/scipy/scipy/pull/15564>`__: DOC: stray
backticks
* `#15565 <https://github.com/scipy/scipy/pull/15565>`__: DOC: incorrect
underline lenght in section.
* `#15567 <https://github.com/scipy/scipy/pull/15567>`__: ENH: stats.pareto
fit improvement for parameter combinations
* `#15569 <https://github.com/scipy/scipy/pull/15569>`__: DOC: pip
quickstart: setup.py -> meson
* `#15570 <https://github.com/scipy/scipy/pull/15570>`__: MAINT: bump test
tolerance in test_linprog
* `#15571 <https://github.com/scipy/scipy/pull/15571>`__: DOC: Wrong
underline length
* `#15578 <https://github.com/scipy/scipy/pull/15578>`__: Make Windows
Python setup more standard
* `#15581 <https://github.com/scipy/scipy/pull/15581>`__: MAINT: clarify
deprecation warning spatial.transform.rotation
* `#15583 <https://github.com/scipy/scipy/pull/15583>`__: DOC: clarify O(N)
SO(N) in random rotations
* `#15586 <https://github.com/scipy/scipy/pull/15586>`__: ENH: stats: Add
'alternative' and confidence interval to pearsonr
* `#15590 <https://github.com/scipy/scipy/pull/15590>`__: DOC: factorialk
docstring inconsistent with code
* `#15597 <https://github.com/scipy/scipy/pull/15597>`__: DOC: update
\`hyp2f1\` docstring example based on doctest
* `#15598 <https://github.com/scipy/scipy/pull/15598>`__: BUG/ENH:
\`lsq_linear\`: fixed incorrect \`lsmr_tol\` in first...
* `#15603 <https://github.com/scipy/scipy/pull/15603>`__: BENCH: optimize:
milp: add MILP benchmarks
* `#15606 <https://github.com/scipy/scipy/pull/15606>`__: MAINT: allow
multiplication sign \`×\`
* `#15611 <https://github.com/scipy/scipy/pull/15611>`__: BUG:signal: Fix
median bias in csd(..., average="median")
* `#15616 <https://github.com/scipy/scipy/pull/15616>`__: CI: pin asv to
avoid slowdowns in 0.5/0.5.1
* `#15619 <https://github.com/scipy/scipy/pull/15619>`__: DOC: stats:
update interval and moment method signatures
* `#15625 <https://github.com/scipy/scipy/pull/15625>`__: MAINT: Clean up
\`type: ignore\` comments related to third-party...
* `#15626 <https://github.com/scipy/scipy/pull/15626>`__: TST, MAINT:
ignore np distutils dep
* `#15629 <https://github.com/scipy/scipy/pull/15629>`__: MAINT: stats: fix
\`trim1\` \`axis\` behavior
* `#15632 <https://github.com/scipy/scipy/pull/15632>`__: ENH:
stats.wilcoxon: return z-statistic (as requested)
* `#15634 <https://github.com/scipy/scipy/pull/15634>`__: CI: Improve
concurrency to cancel running jobs on PR update
* `#15645 <https://github.com/scipy/scipy/pull/15645>`__: DOC: Add code
example to the documentation of \`sparse.linalg.cg\`.
* `#15646 <https://github.com/scipy/scipy/pull/15646>`__: DOC:
stats.ks_1samp: correct examples
* `#15647 <https://github.com/scipy/scipy/pull/15647>`__: ENH: add variable
bits to \`stats.qmc.Sobol\`
* `#15648 <https://github.com/scipy/scipy/pull/15648>`__: DOC: Add examples
to documentation for \`scipy.special.ellipr{c,d,f,g,j}\`
* `#15649 <https://github.com/scipy/scipy/pull/15649>`__: DEV/DOC: remove
latex/pdf documentation
* `#15651 <https://github.com/scipy/scipy/pull/15651>`__: DOC:
stats.ks_2samp/stats.kstest: correct examples
* `#15652 <https://github.com/scipy/scipy/pull/15652>`__: DOC:
stats.circstd: add reference, notes, comments
* `#15655 <https://github.com/scipy/scipy/pull/15655>`__: REL: fix small
issue in pavement.py for release note writing
* `#15656 <https://github.com/scipy/scipy/pull/15656>`__: DOC: Fix example
for subset_by_index in eigh doc
* `#15661 <https://github.com/scipy/scipy/pull/15661>`__: DOC: Additional
examples for optimize user guide
* `#15662 <https://github.com/scipy/scipy/pull/15662>`__: DOC: stats.fit:
fix intermittent failure in doctest
* `#15663 <https://github.com/scipy/scipy/pull/15663>`__: DOC:
stats.burr12: fix typo
* `#15664 <https://github.com/scipy/scipy/pull/15664>`__: BENCH: Add
benchmarks for special.factorial/factorial2/factorialk
* `#15673 <https://github.com/scipy/scipy/pull/15673>`__: DOC: fix
intersphinx links
* `#15682 <https://github.com/scipy/scipy/pull/15682>`__: MAINT:
sparse.linalg: Clear up unnecessary modules imported in...
* `#15684 <https://github.com/scipy/scipy/pull/15684>`__: DOC: add formula
and documentation improvements for scipy.special.chndtr...
* `#15690 <https://github.com/scipy/scipy/pull/15690>`__: ENH: add uarray
multimethods for fast Hankel transforms
* `#15694 <https://github.com/scipy/scipy/pull/15694>`__: MAINT,CI: signal:
fix failing refguide check
* `#15699 <https://github.com/scipy/scipy/pull/15699>`__: DOC:
stats.ttest_1samp: update example
* `#15701 <https://github.com/scipy/scipy/pull/15701>`__: BUG: Fix
dual_annealing bounds test
* `#15703 <https://github.com/scipy/scipy/pull/15703>`__: BUG: fix test
fail in test_propack.py (loosen atol)
* `#15710 <https://github.com/scipy/scipy/pull/15710>`__: MAINT:
sparse.linalg: \`bnorm\` only calculate once
* `#15712 <https://github.com/scipy/scipy/pull/15712>`__: ENH:
\`scipy.stats.qmc.Sobol\`: allow 32 or 64 bit computation
* `#15715 <https://github.com/scipy/scipy/pull/15715>`__: ENH: stats: add
_axis_nan_policy_factory to moment
* `#15718 <https://github.com/scipy/scipy/pull/15718>`__: ENH: Migration of
\`write_release_and_log\` into standalone script
* `#15723 <https://github.com/scipy/scipy/pull/15723>`__: TST: stats: make
\`check_sample_var\` two-sided
* `#15724 <https://github.com/scipy/scipy/pull/15724>`__: TST: stats:
simplify \`check_sample_mean\`
* `#15725 <https://github.com/scipy/scipy/pull/15725>`__: DEV: Try to
detect scipy from dev installed path
* `#15728 <https://github.com/scipy/scipy/pull/15728>`__: ENH: changed
vague exception messages to a more descriptive ones...
* `#15729 <https://github.com/scipy/scipy/pull/15729>`__: ENH: stats: add
weighted power mean
* `#15763 <https://github.com/scipy/scipy/pull/15763>`__: ENH: stats:
replace ncf with Boost non_central_f distribution
* `#15766 <https://github.com/scipy/scipy/pull/15766>`__: BUG: improve
exceptions for private attributes in refactored...
* `#15768 <https://github.com/scipy/scipy/pull/15768>`__: [DOC] fix typo in
cython optimize help example
* `#15769 <https://github.com/scipy/scipy/pull/15769>`__: MAINT: stats:
check integrality in \`_argcheck\` as needed
* `#15771 <https://github.com/scipy/scipy/pull/15771>`__: MAINT: stats:
resolve discrete rvs dtype platform dependency
* `#15774 <https://github.com/scipy/scipy/pull/15774>`__: MAINT: stats:
remove deprecated \`median_absolute_deviation\`
* `#15775 <https://github.com/scipy/scipy/pull/15775>`__: DOC:
stats.lognorm: rephrase note about parameterization
* `#15776 <https://github.com/scipy/scipy/pull/15776>`__: DOC:
stats.powerlaw: more explicit explanation of support
* `#15777 <https://github.com/scipy/scipy/pull/15777>`__: MAINT:
stats.shapiro: subtract median from shapiro input
* `#15778 <https://github.com/scipy/scipy/pull/15778>`__: MAINT: stats:
more specific error type from \`rv_continuous.fit\`
* `#15779 <https://github.com/scipy/scipy/pull/15779>`__: CI: don't run
meson tests on forks and remove skip flags
* `#15782 <https://github.com/scipy/scipy/pull/15782>`__: DEPR: remove
k=None in KDTree.query
* `#15783 <https://github.com/scipy/scipy/pull/15783>`__: CI:Pin pytest
version to 7.0.1 on Azure
* `#15785 <https://github.com/scipy/scipy/pull/15785>`__: MAINT: stats:
remove deprecated itemfreq
* `#15786 <https://github.com/scipy/scipy/pull/15786>`__: DOC: Add examples
of integrals to integrate.quadpack
* `#15788 <https://github.com/scipy/scipy/pull/15788>`__: DOC: update macOS
and Linux contributor docs to use Python 3.9
* `#15789 <https://github.com/scipy/scipy/pull/15789>`__: DOC, MAINT:
Remove numpydoc submodule
* `#15791 <https://github.com/scipy/scipy/pull/15791>`__: MAINT: add
ShapeInfo to continuous distributions in scipy.stats
* `#15795 <https://github.com/scipy/scipy/pull/15795>`__: DEP: remove
n_jobs from cKDTree
* `#15797 <https://github.com/scipy/scipy/pull/15797>`__: scipy/_lib/boost:
Update to d8626c9d2d937abf6a38a844522714ad72e63281
* `#15799 <https://github.com/scipy/scipy/pull/15799>`__: DEP: add warning
for documented-as-deprecated extradoc
* `#15802 <https://github.com/scipy/scipy/pull/15802>`__: DOC: Import Error
in examples
* `#15803 <https://github.com/scipy/scipy/pull/15803>`__: DOC: error in
TransferFunctionDiscrete example
* `#15804 <https://github.com/scipy/scipy/pull/15804>`__: DEP: sharpen
warning message on >1-dim for optimize.minimize
* `#15805 <https://github.com/scipy/scipy/pull/15805>`__: DEP: specify
version to remove dual_annealing argument 'local_search_options'
* `#15809 <https://github.com/scipy/scipy/pull/15809>`__: DOC,MAINT: remove
\`quad_explain\` that has become irrelevant.
* `#15810 <https://github.com/scipy/scipy/pull/15810>`__: DOC: stats.mood:
validity only when observations are unique
* `#15811 <https://github.com/scipy/scipy/pull/15811>`__: DOC: fix
evaluate_all_bspl example.
* `#15812 <https://github.com/scipy/scipy/pull/15812>`__: DOC: Couple of
single to double backticks
* `#15813 <https://github.com/scipy/scipy/pull/15813>`__: DOC: information
about skip on CircleCI
* `#15817 <https://github.com/scipy/scipy/pull/15817>`__: MAINT:
stats.fisher_exact: improve docs and fix bugs
* `#15819 <https://github.com/scipy/scipy/pull/15819>`__: DEP:
docstring-related deprecations (#15757)
* `#15821 <https://github.com/scipy/scipy/pull/15821>`__: DEP: add actual
DeprecationWarning for sym_pos-keyword of scipy.linalg.solve
* `#15822 <https://github.com/scipy/scipy/pull/15822>`__: DEP: remove
\`right\` from interpolate.PPoly.extend
* `#15823 <https://github.com/scipy/scipy/pull/15823>`__: DOC:
Interpolative tutorial - wrong matrix fill var
* `#15824 <https://github.com/scipy/scipy/pull/15824>`__: BUG: Handle base
case for scipy.integrate.simpson when span along...
* `#15825 <https://github.com/scipy/scipy/pull/15825>`__: TST: stats:
xfail_on_32bit studentized_range moment test
* `#15827 <https://github.com/scipy/scipy/pull/15827>`__: DOC: change docs
that specify the SNR ratio definition for find_peaks_cwt().
* `#15828 <https://github.com/scipy/scipy/pull/15828>`__: DEP: raise value
error for object arrays
* `#15830 <https://github.com/scipy/scipy/pull/15830>`__: MAINT: stats:
collocate bootstrap/permutation_test/monte_carlo_test
* `#15831 <https://github.com/scipy/scipy/pull/15831>`__: MAINT:
stats.rv_generic: fix unnecessary call to \`_munp\` in...
* `#15835 <https://github.com/scipy/scipy/pull/15835>`__: FIX: Incorect
boschloo pvalue
* `#15837 <https://github.com/scipy/scipy/pull/15837>`__: DOC: Simplify
conda command
* `#15840 <https://github.com/scipy/scipy/pull/15840>`__: DOC: special: Add
'Examples' for wrightomega.
* `#15842 <https://github.com/scipy/scipy/pull/15842>`__: DOC: Add examples
for \`CGS\`, \`GCROTMK\` and \`BiCGSTAB\` iterative...
* `#15846 <https://github.com/scipy/scipy/pull/15846>`__: DOC: Add
efficiency condition for CSC sparse matrix and remove...
* `#15847 <https://github.com/scipy/scipy/pull/15847>`__: BUG: adds warning
to scipy.stats.brunnermunzel
* `#15848 <https://github.com/scipy/scipy/pull/15848>`__: DOC: fix interp2d
docs showing wrong Z array ordering.
* `#15850 <https://github.com/scipy/scipy/pull/15850>`__: MAINT:
sparse.linalg: Missing tfqmr in the re-entrancy test
* `#15853 <https://github.com/scipy/scipy/pull/15853>`__: DEP: remove the
keyword debug from linalg.solve
* `#15855 <https://github.com/scipy/scipy/pull/15855>`__: ENH:
stats.rv_continuous.expect: split interval to improve reliability
* `#15867 <https://github.com/scipy/scipy/pull/15867>`__: CI: fix python
version matrix in linux workflow
* `#15868 <https://github.com/scipy/scipy/pull/15868>`__: CI: fix Azure
workflows
* `#15872 <https://github.com/scipy/scipy/pull/15872>`__: DEP: remove mlab
from dendrogram
* `#15874 <https://github.com/scipy/scipy/pull/15874>`__: DEP: remove py_vq2
* `#15875 <https://github.com/scipy/scipy/pull/15875>`__: DEP: remove old
BSR methods
* `#15876 <https://github.com/scipy/scipy/pull/15876>`__: DEP: remove
_ppform
* `#15881 <https://github.com/scipy/scipy/pull/15881>`__: DEP: remove
signal.windows.hanning
* `#15882 <https://github.com/scipy/scipy/pull/15882>`__: DEP: enforced
radius in spherical voronoi
* `#15885 <https://github.com/scipy/scipy/pull/15885>`__: DOC: stats:
clarify truncnorm shape parameter definition
* `#15886 <https://github.com/scipy/scipy/pull/15886>`__: BUG: check that
iirfilter argument Wn satisfies Wn[0] < Wn[1]
* `#15887 <https://github.com/scipy/scipy/pull/15887>`__: DEP: remove
ftol/xtol from neldermead
* `#15894 <https://github.com/scipy/scipy/pull/15894>`__: [BUG] make
p-values consistent with the literature
* `#15895 <https://github.com/scipy/scipy/pull/15895>`__: CI: remove pin on
Jinja2
* `#15898 <https://github.com/scipy/scipy/pull/15898>`__: DOC: stats:
correct documentation of \`wilcoxon\`'s behavior...
* `#15900 <https://github.com/scipy/scipy/pull/15900>`__: DOC: fix import
in example in _morestats
* `#15905 <https://github.com/scipy/scipy/pull/15905>`__: MAINT:
stats._moment: warn when catastrophic cancellation occurs
* `#15909 <https://github.com/scipy/scipy/pull/15909>`__: DEP: deal with
deprecation of ndim >1 in bspline
* `#15911 <https://github.com/scipy/scipy/pull/15911>`__: MAINT: stats: fix
\`gibrat\` name
* `#15914 <https://github.com/scipy/scipy/pull/15914>`__: MAINT: special:
Clean up C style in ndtr.c
* `#15916 <https://github.com/scipy/scipy/pull/15916>`__: MAINT: stats:
adjust tolerance of failing TestTruncnorm
* `#15917 <https://github.com/scipy/scipy/pull/15917>`__: MAINT: stats:
remove support for \`_rvs\` without \`size\` parameter
* `#15920 <https://github.com/scipy/scipy/pull/15920>`__: ENH:
stats.mannwhitneyu: add iterative implementation
* `#15923 <https://github.com/scipy/scipy/pull/15923>`__: MAINT: stats:
attempt to consolidate warnings and errors
* `#15932 <https://github.com/scipy/scipy/pull/15932>`__: MAINT: stats: fix
and thoroughly test \`rv_sample\` at non-integer...
* `#15933 <https://github.com/scipy/scipy/pull/15933>`__: TST: test_nodata
respect endianness
* `#15938 <https://github.com/scipy/scipy/pull/15938>`__: DOC:
sparse.linalg: add citations for COLAMD
* `#15939 <https://github.com/scipy/scipy/pull/15939>`__: Update
_dual_annealing.py
* `#15945 <https://github.com/scipy/scipy/pull/15945>`__: BUG/ENH:
\`MultinomialQMC.random\` shape to (n, pvals)
* `#15946 <https://github.com/scipy/scipy/pull/15946>`__: DEP: remove
inheritance to \`QMCEngine\` in \`MultinomialQMC\`...
* `#15947 <https://github.com/scipy/scipy/pull/15947>`__: DOC: Revamp
contributor setup guides
* `#15953 <https://github.com/scipy/scipy/pull/15953>`__: DOC: Add meson
docs to use gcc, clang build in parallel and optimization...
* `#15955 <https://github.com/scipy/scipy/pull/15955>`__: BUG Fix signature
of D_IIR_forback(1,2)
* `#15959 <https://github.com/scipy/scipy/pull/15959>`__: ENH: Developer
CLI for SciPy
* `#15965 <https://github.com/scipy/scipy/pull/15965>`__: MAINT: stats:
ensure that \`rv_continuous._fitstart\` shapes...
* `#15968 <https://github.com/scipy/scipy/pull/15968>`__: BUG: Fix debug
and coverage arguments with dev.py
* `#15970 <https://github.com/scipy/scipy/pull/15970>`__: BLD: specify
\`cython_lapack\` dependency for \`matfuncs_expm\`
* `#15973 <https://github.com/scipy/scipy/pull/15973>`__: DOC: Add formula
renderings to integrate.nquad.
* `#15981 <https://github.com/scipy/scipy/pull/15981>`__: ENH: optimize:
Add Newton-TFQMR method and some tests for Newton-Krylov
* `#15982 <https://github.com/scipy/scipy/pull/15982>`__: BENCH: stats:
Distribution memory and CDF/PPF round trip benchmarks
* `#15983 <https://github.com/scipy/scipy/pull/15983>`__: TST:
sparse.linalg: Add tests for the parameter \`show\`
* `#15991 <https://github.com/scipy/scipy/pull/15991>`__: TST: fix for
np.kron matrix issue.
* `#15992 <https://github.com/scipy/scipy/pull/15992>`__: DOC: Fixed
\`degrees\` parameter in return section
* `#15997 <https://github.com/scipy/scipy/pull/15997>`__: MAINT: integrate:
add \`recursive\` to QUADPACK Fortran sources
* `#15998 <https://github.com/scipy/scipy/pull/15998>`__: BUG: Fix
yeojohnson when transformed data has zero variance
* `#15999 <https://github.com/scipy/scipy/pull/15999>`__: MAINT: Adds
doit.db.db to gitignore
* `#16004 <https://github.com/scipy/scipy/pull/16004>`__: MAINT: rename
MaximumFlowResult.residual to flow
* `#16005 <https://github.com/scipy/scipy/pull/16005>`__: DOC:
sparse.linalg: Fixed the description of input matrix of...
* `#16010 <https://github.com/scipy/scipy/pull/16010>`__: MAINT: Add a
check to verify all \`.pyi\` files are installed...
* `#16012 <https://github.com/scipy/scipy/pull/16012>`__: DOC: Fix broken
link and add python headers to contributing guide
* `#16015 <https://github.com/scipy/scipy/pull/16015>`__: DEP: bump version
for deprecating residual to flow.
* `#16018 <https://github.com/scipy/scipy/pull/16018>`__: Doc: fix arch
linux building from source local dependencies instructions
* `#16019 <https://github.com/scipy/scipy/pull/16019>`__: DOC: fix conda
env name in quickstart guide [skip ci]
* `#16021 <https://github.com/scipy/scipy/pull/16021>`__: DOC: typos in
basinhopping documentation
* `#16024 <https://github.com/scipy/scipy/pull/16024>`__: CI: unpin pytest
and pytest-xdist
* `#16026 <https://github.com/scipy/scipy/pull/16026>`__: BUG: Allow
\`spsolve_triangular\` to work with matrices with...
* `#16029 <https://github.com/scipy/scipy/pull/16029>`__: BUG: Fix
meson-info file errors and add more informative exception
* `#16030 <https://github.com/scipy/scipy/pull/16030>`__: MAINT: stats:
more accurate error message for \`multivariate_normal\`
* `#16032 <https://github.com/scipy/scipy/pull/16032>`__: FIX: show warning
when passing NAN into input of convolve method
* `#16037 <https://github.com/scipy/scipy/pull/16037>`__: MAINT: fix
missing \`f\` prefix on f-strings
* `#16042 <https://github.com/scipy/scipy/pull/16042>`__: MAINT:
stats.dirichlet: fix interface inconsistency
* `#16044 <https://github.com/scipy/scipy/pull/16044>`__: DEV: do.py,
adoption of pkg pydevtool (removed non SciPy specific...
* `#16045 <https://github.com/scipy/scipy/pull/16045>`__: ENH: Use
circleci-artifacts-redirector-action
* `#16051 <https://github.com/scipy/scipy/pull/16051>`__: MAINT:
Miscellaneous small changes to filter_design
* `#16053 <https://github.com/scipy/scipy/pull/16053>`__: Mark fitpack
sources as \`recursive\`
* `#16055 <https://github.com/scipy/scipy/pull/16055>`__: MAINT: stats:
replace \`np.var\` with \`_moment(..., 2)\` to...
* `#16058 <https://github.com/scipy/scipy/pull/16058>`__: DEV: Fix meson
debian python build
* `#16060 <https://github.com/scipy/scipy/pull/16060>`__: MAINT: Allow all
Latin-1 Unicode letters in the source code.
* `#16062 <https://github.com/scipy/scipy/pull/16062>`__: DOC: Document
QUADPACK routines used in \`\*quad\`
* `#16067 <https://github.com/scipy/scipy/pull/16067>`__: DEP: remove
spatial.distance.matching
* `#16070 <https://github.com/scipy/scipy/pull/16070>`__: ENH: interpolate:
handle length-1 grid axes in RegularGridInterpolator
* `#16073 <https://github.com/scipy/scipy/pull/16073>`__: DOC: expand
RegularGridInterpolator docstring
* `#16075 <https://github.com/scipy/scipy/pull/16075>`__: CI: Fix
refguidecheck failures; unpin Sphinx
* `#16077 <https://github.com/scipy/scipy/pull/16077>`__: BUG: interpolate:
RGI(nan) is nan
* `#16078 <https://github.com/scipy/scipy/pull/16078>`__: DEV,BLD: Use
Meson in Gitpod builds
* `#16082 <https://github.com/scipy/scipy/pull/16082>`__: BUG:
refguide-check: allow multiline namedtuples
* `#16083 <https://github.com/scipy/scipy/pull/16083>`__: DOC: fixing a
sign issue in FFTlog function documentation
* `#16092 <https://github.com/scipy/scipy/pull/16092>`__: ENH: interpolate:
Add functionality to accept descending points...
* `#16095 <https://github.com/scipy/scipy/pull/16095>`__: MAINT: Remove old
filtered warnings
* `#16100 <https://github.com/scipy/scipy/pull/16100>`__: MAINT: Fix a
couple compiler warnings.
* `#16104 <https://github.com/scipy/scipy/pull/16104>`__: DOC: stats:
symmetry not checked for (inv)wishart distributions
* `#16111 <https://github.com/scipy/scipy/pull/16111>`__: BUG: Fix norm for
sparse arrays
* `#16115 <https://github.com/scipy/scipy/pull/16115>`__: MAINT: merge
\`environment.yml\` and \`environment_meson.yml\`
* `#16117 <https://github.com/scipy/scipy/pull/16117>`__: MAINT:
stats.wilcoxon: return \`zstatistic\` only when \`method='approx'\`
* `#16118 <https://github.com/scipy/scipy/pull/16118>`__: Download openblas
binary from GH repo
* `#16122 <https://github.com/scipy/scipy/pull/16122>`__: CI: Speed up ci
build that keeps timing out
* `#16125 <https://github.com/scipy/scipy/pull/16125>`__: DOC: interpolate:
fix typos "the the" -> "the"
* `#16126 <https://github.com/scipy/scipy/pull/16126>`__: DOC: interpolate:
details rectilinear grids in docstrings
* `#16128 <https://github.com/scipy/scipy/pull/16128>`__: BUG: interpolate:
fix extrapolation behaviors of \`previous\`...
* `#16130 <https://github.com/scipy/scipy/pull/16130>`__: Increase time to
timeout on azure
* `#16134 <https://github.com/scipy/scipy/pull/16134>`__: BUG: signal: Fix
calculation of extended image indices in convolve2d.
* `#16135 <https://github.com/scipy/scipy/pull/16135>`__: MAINT:
sparse.linalg: A minor improvement with zero initial guess
* `#16137 <https://github.com/scipy/scipy/pull/16137>`__: Clean up fitpack
smoke tests
* `#16138 <https://github.com/scipy/scipy/pull/16138>`__: TST: interpolate:
mark rbf chunking tests as slow
* `#16141 <https://github.com/scipy/scipy/pull/16141>`__: DOC: Plot poles
as x and zeros as o in signal
* `#16144 <https://github.com/scipy/scipy/pull/16144>`__: DEP: Execute
deprecation for squeezing input vectors in spatial.distance
* `#16145 <https://github.com/scipy/scipy/pull/16145>`__: ENH: Fix
signal.iircomb w0 bugs, add support for both frequency...
* `#16150 <https://github.com/scipy/scipy/pull/16150>`__: Add typing info
for Rotation.concatenate
* `#16165 <https://github.com/scipy/scipy/pull/16165>`__: BUG: fix
extension module initialization, needs use of \`PyMODINIT_FUNC\`
* `#16166 <https://github.com/scipy/scipy/pull/16166>`__: MAINT:linalg:
Expose Cython functions for generic use
* `#16167 <https://github.com/scipy/scipy/pull/16167>`__: ENH: Tweak
theilslopes and siegelslopes to return a tuple_bunch
* `#16168 <https://github.com/scipy/scipy/pull/16168>`__: BUG: special: Fix
the test 'test_d' that is run when SCIPY_XSLOW...
* `#16173 <https://github.com/scipy/scipy/pull/16173>`__: Adds note to the
curve_fit() docstring to use float64.
* `#16176 <https://github.com/scipy/scipy/pull/16176>`__: MAINT: remove
questionable uses of \`Py_FatalError\` in module...
* `#16177 <https://github.com/scipy/scipy/pull/16177>`__: MAINT: Cleanup
unused code in meson-files
* `#16180 <https://github.com/scipy/scipy/pull/16180>`__: DEV: do.py build.
On setup checks if intro-buildoptions.json...
* `#16181 <https://github.com/scipy/scipy/pull/16181>`__: BUG: stats: fix
multivariate_hypergeom.rvs method
* `#16183 <https://github.com/scipy/scipy/pull/16183>`__: ENH: Simplify
return names in stats.theil/siegelslopes (and fix...
* `#16184 <https://github.com/scipy/scipy/pull/16184>`__: DEP: raise if
fillvalue cannot be cast to output type in signal.convolve2d
* `#16185 <https://github.com/scipy/scipy/pull/16185>`__: BUG: stats: Fix
handling of float32 inputs for the boost-based...
* `#16187 <https://github.com/scipy/scipy/pull/16187>`__: BLD: default to
Meson in pyproject.toml
* `#16194 <https://github.com/scipy/scipy/pull/16194>`__: BLD: add a build
option to force use of the g77 ABI with Meson
* `#16198 <https://github.com/scipy/scipy/pull/16198>`__: DEP: sharpen
deprecation in NumericalInverseHermite
* `#16206 <https://github.com/scipy/scipy/pull/16206>`__: CI: Test NumPy
main branch also with Python 3.11
* `#16220 <https://github.com/scipy/scipy/pull/16220>`__: Create a new
spline from a partial derivative of a bivariate...
* `#16223 <https://github.com/scipy/scipy/pull/16223>`__: MAINT:
interpolate: move RGI to a separate file
* `#16228 <https://github.com/scipy/scipy/pull/16228>`__: TST: interpolate:
move test_spalde_scalar to other fitpack tests
* `#16229 <https://github.com/scipy/scipy/pull/16229>`__: REL: DOC: fix
documentation URLs
* `#16230 <https://github.com/scipy/scipy/pull/16230>`__: BUG: fix
extension module initialization, needs use of PyMODINIT_FUNC,...
* `#16239 <https://github.com/scipy/scipy/pull/16239>`__: MAINT: tools: Add
more output to a refguide-check error message.
* `#16241 <https://github.com/scipy/scipy/pull/16241>`__: DOC: stats:
update roadmap
* `#16242 <https://github.com/scipy/scipy/pull/16242>`__: BUG: Make KDTree
more robust against nans.
* `#16245 <https://github.com/scipy/scipy/pull/16245>`__: DEP: Execute
deprecation of pinv2
* `#16247 <https://github.com/scipy/scipy/pull/16247>`__: DOC:linalg:
Remove references to removed pinv2 function
* `#16248 <https://github.com/scipy/scipy/pull/16248>`__: DOC: prep 1.9.0
release notes
* `#16249 <https://github.com/scipy/scipy/pull/16249>`__: Refguide check
verbosity abs names
* `#16257 <https://github.com/scipy/scipy/pull/16257>`__: DEP: Deprecation
follow-ups
* `#16259 <https://github.com/scipy/scipy/pull/16259>`__: Revert "CI: pin
Pip to 22.0.4 to avoid issues with \`--no-build-isolation\`"
* `#16261 <https://github.com/scipy/scipy/pull/16261>`__: DEP: add
deprecation warning to maxiter kwarg in _minimize_tnc
* `#16264 <https://github.com/scipy/scipy/pull/16264>`__: DOC: update the
RegularGridInterpolator docstring
* `#16265 <https://github.com/scipy/scipy/pull/16265>`__: DEP: deprecate
spatial.distance.kulsinski
* `#16267 <https://github.com/scipy/scipy/pull/16267>`__: DOC: broken
donation link on GitHub
* `#16273 <https://github.com/scipy/scipy/pull/16273>`__: DOC: remove
deprecated functions from refguide
* `#16276 <https://github.com/scipy/scipy/pull/16276>`__: MAINT:
sparse.linalg: Update some docstrings.
* `#16279 <https://github.com/scipy/scipy/pull/16279>`__: MAINT: stats:
override \`loguniform.fit\` to resolve overparameterization
* `#16282 <https://github.com/scipy/scipy/pull/16282>`__: BUG: special:
DECREF scipy_special object before exiting sf_error().
* `#16283 <https://github.com/scipy/scipy/pull/16283>`__: Corrections To
Docs
* `#16287 <https://github.com/scipy/scipy/pull/16287>`__: BLD: sync
pyproject.toml changes from oldest-supported-numpy
* `#16289 <https://github.com/scipy/scipy/pull/16289>`__: MAINT: stats:
remove function-specific warning messages
* `#16290 <https://github.com/scipy/scipy/pull/16290>`__: BLD: fix issue
with \`python setup.py install\` and \`_directmodule\`
* `#16295 <https://github.com/scipy/scipy/pull/16295>`__: MAINT: move
\`import_array\` before module creation in module...
* `#16296 <https://github.com/scipy/scipy/pull/16296>`__: DOC: REL: fix
\`make dist\` issue with missing dependencies
* `#16303 <https://github.com/scipy/scipy/pull/16303>`__: MAINT: revert
addition of multivariate_beta
* `#16304 <https://github.com/scipy/scipy/pull/16304>`__: MAINT: add a more
informative error message for broken installs
* `#16309 <https://github.com/scipy/scipy/pull/16309>`__: BLD: CI: fix
issue in wheel metadata, and add basic "build in...
* `#16316 <https://github.com/scipy/scipy/pull/16316>`__: REL: update
version switcher for 1.8.1
* `#16321 <https://github.com/scipy/scipy/pull/16321>`__: DOC: fix
incorrect formatting of deprecation tags
* `#16326 <https://github.com/scipy/scipy/pull/16326>`__: REL: update
version switcher for 1.9
* `#16329 <https://github.com/scipy/scipy/pull/16329>`__: MAINT: git
security shim for 1.9.x
* `#16339 <https://github.com/scipy/scipy/pull/16339>`__: MAINT, TST: bump
tol for _axis_nan_policy_test
* `#16341 <https://github.com/scipy/scipy/pull/16341>`__: BLD: update
Pythran requirement to 0.11.0, to support Clang >=13
* `#16353 <https://github.com/scipy/scipy/pull/16353>`__: MAINT: version
bounds 1.9.0rc1
* `#16360 <https://github.com/scipy/scipy/pull/16360>`__: MAINT, TST: sup
warning for theilslopes
* `#16361 <https://github.com/scipy/scipy/pull/16361>`__: MAINT:
SCIPY_USE_PROPACK
* `#16370 <https://github.com/scipy/scipy/pull/16370>`__: MAINT: update
Boost submodule to include Cygwin fix
* `#16374 <https://github.com/scipy/scipy/pull/16374>`__: MAINT: update
pydata-sphinx-theme
* `#16379 <https://github.com/scipy/scipy/pull/16379>`__: DOC: dark theme
css adjustments
* `#16390 <https://github.com/scipy/scipy/pull/16390>`__: TST, MAINT:
adjust 32-bit xfails for HiGHS
* `#16393 <https://github.com/scipy/scipy/pull/16393>`__: MAINT: use
correct type for element wise comparison
* `#16414 <https://github.com/scipy/scipy/pull/16414>`__: BUG: spatial:
Handle integer arrays in HalfspaceIntersection.
* `#16420 <https://github.com/scipy/scipy/pull/16420>`__: MAINT: next round
of 1.9.0 backports
* `#16422 <https://github.com/scipy/scipy/pull/16422>`__: TST: fix test
issues with casting-related warnings with numpy...
* `#16427 <https://github.com/scipy/scipy/pull/16427>`__: MAINT:
stats.shapiro: don't modify input in place
* `#16436 <https://github.com/scipy/scipy/pull/16436>`__: DOC: optimize:
Mark deprecated linprog methods explicitly
* `#16444 <https://github.com/scipy/scipy/pull/16444>`__: BUG: fix fail to
open tempfile in messagestream.pyx (#8850)
* `#16451 <https://github.com/scipy/scipy/pull/16451>`__: MAINT: few more
1.9.0 backports
* `#16453 <https://github.com/scipy/scipy/pull/16453>`__: DOC: Copy-edit
1.9.0-notes.rst
* `#16457 <https://github.com/scipy/scipy/pull/16457>`__: TST: skip 32-bit
test_pdist_correlation_iris_nonC
* `#16458 <https://github.com/scipy/scipy/pull/16458>`__: MAINT: 1.9.0
backports
* `#16473 <https://github.com/scipy/scipy/pull/16473>`__: REL: update 1.9.0
release notes
* `#16482 <https://github.com/scipy/scipy/pull/16482>`__: DOC: Update
Returns section of optimize.linprog.
* `#16484 <https://github.com/scipy/scipy/pull/16484>`__: MAINT: remove raw
html from README.rst
* `#16485 <https://github.com/scipy/scipy/pull/16485>`__: BLD: fix warnings
from f2py templating parsing
* `#16493 <https://github.com/scipy/scipy/pull/16493>`__: BLD: clean up
unwanted files in sdist, via \`.gitattributes\`
* `#16507 <https://github.com/scipy/scipy/pull/16507>`__: REL: more tweaks
to sdist contents
* `#16512 <https://github.com/scipy/scipy/pull/16512>`__: [1.9] MAINT: skip
complex128 propack tests on windows
* `#16526 <https://github.com/scipy/scipy/pull/16526>`__: MAINT: 1.9.0rc2
backports
* `#16530 <https://github.com/scipy/scipy/pull/16530>`__: MAINT: fix
umfpack test failure with numpy 1.23
* `#16541 <https://github.com/scipy/scipy/pull/16541>`__: BLD: fix
regression in building _lsap with symbol visibility
Checksums
=========
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~~~
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SHA256
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Hi,
I just came across this:
https://sfconservancy.org/GiveUpGitHub/
I guess this is something we should review and consider - although it
would obviously have serious costs.
Cheers,
Matthew
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Hi Numpy maintainers,
Would you be interested in integrating continuous fuzzing by way of
OSS-Fuzz? Fuzzing is a way to automate test-case generation and has been
heavily used for memory unsafe languages. Recently efforts have been put
into fuzzing memory safe languages and Python is one of the languages
where it would be great to use fuzzing.
In this PR: https://github.com/google/oss-fuzz/pull/7681 I did an
initial integration into OSS-Fuzz. Essentially, OSS-Fuzz is a free
service run by Google that performs continuous fuzzing of important open
source projects.
If you would like to integrate, the only thing I need is a list of
email(s) that will get access to the data produced by OSS-Fuzz, such as
bug reports, coverage reports and more stats. Notice the emails
affiliated with the project will be public in the OSS-Fuzz repo, as they
will be part of a configuration file.
There are already some important Python projects on OSS-Fuzz such as
tensorflow-python
(https://github.com/google/oss-fuzz/tree/master/projects/tensorflow-py)
and it would be great to add Numpy to the list.
Let me know your thoughts on this and if you have any questions as I’m
happy to clarify or go more into details with fuzzing.
Kind regards,
David
ADA Logics Ltd is registered in England. No: 11624074.
Registered office: 266 Banbury Road, Post Box 292,
OX2 7DL, Oxford, Oxfordshire , United Kingdom
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![](https://secure.gravatar.com/avatar/4f1a5fb33b48fe01c24996e401bce4f8.jpg?s=120&d=mm&r=g)
Feature request: function to get minimum and maximum values simultaneously (as a tuple)
by Ewout ter Hoeven July 1, 2022
by Ewout ter Hoeven July 1, 2022
July 1, 2022
A function to get the minimum and maximum values of an array simultaneously could be very useful, from both a convenience and performance point of view. Especially when arrays get larger the performance benefit could be significant, and even more if the array doesn't fit in L2/L3 cache or even memory.
There are many cases where not either the minimum or the maximum of an array is required, but both. Think of clipping an array, getting it's range, checking for outliers, normalizing, making a plot like a histogram, etc.
This function could be called aminmax() for example, and also be called like ndarray.minmax(). It should return a tuple (min, max) with the minimum and maximum values of the array, identical to calling (ndarray.min(), ndarray.max()).
With such a function, numpy.ptp() and the special cases of numpy.quantile(a, q=[0,1]) and numpy.percentile(a, q=[0,100]) could also potentially be speeded up, among others.
Potentially argmin and argmax could get the same treatment, being called argminmax().
There is also a very extensive post on Stack Overflow (a bit old already) with discussion and benchmarks: https://stackoverflow.com/questions/12200580/numpy-function-for-simultaneou…
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