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January 2024
- 16 participants
- 21 discussions
Hi all,
On behalf of the SciPy development team, I'm pleased to announce the
release of SciPy 1.12.0.
Sources and binary wheels can be found at:
https://pypi.org/project/scipy/
and at: https://github.com/scipy/scipy/releases/tag/v1.12.0
One of a few ways to install this release with pip:
pip install scipy==1.12.0
==========================
SciPy 1.12.0 Release Notes
==========================
SciPy 1.12.0 is the culmination of 6 months of hard work. It contains
many new features, numerous …
[View More]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
1.12.x branch, and on adding new features on the main branch.
This release requires Python 3.9+ and NumPy 1.22.4 or greater.
For running on PyPy, PyPy3 6.0+ is required.
**************************
Highlights of this release
**************************
- Experimental support for the array API standard has been added to part of
`scipy.special`, and to all of `scipy.fft` and `scipy.cluster`. There are
likely to be bugs and early feedback for usage with CuPy arrays, PyTorch
tensors, and other array API compatible libraries is appreciated. Use the
``SCIPY_ARRAY_API`` environment variable for testing.
- A new class, ``ShortTimeFFT``, provides a more versatile implementation
of the
short-time Fourier transform (STFT), its inverse (ISTFT) as well as the
(cross-)
spectrogram. It utilizes an improved algorithm for calculating the ISTFT.
- Several new constructors have been added for sparse arrays, and many
operations
now additionally support sparse arrays, further facilitating the migration
from sparse matrices.
- A large portion of the `scipy.stats` API now has improved support for
handling
``NaN`` values, masked arrays, and more fine-grained shape-handling. The
accuracy and performance of a number of ``stats`` methods have been
improved,
and a number of new statistical tests and distributions have been added.
************
New features
************
`scipy.cluster` improvements
============================
- Experimental support added for the array API standard; PyTorch tensors,
CuPy arrays and array API compatible array libraries are now accepted
(GPU support is limited to functions with pure Python implementations).
CPU arrays which can be converted to and from NumPy are supported
module-wide and returned arrays will match the input type.
This behaviour is enabled by setting the ``SCIPY_ARRAY_API`` environment
variable before importing ``scipy``. This experimental support is still
under development and likely to contain bugs - testing is very welcome.
`scipy.fft` improvements
========================
- Experimental support added for the array API standard; functions which are
part of the ``fft`` array API standard extension module, as well as the
Fast Hankel Transforms and the basic FFTs which are not in the extension
module, now accept PyTorch tensors, CuPy arrays and array API compatible
array libraries. CPU arrays which can be converted to and from NumPy
arrays
are supported module-wide and returned arrays will match the input type.
This behaviour is enabled by setting the ``SCIPY_ARRAY_API`` environment
variable before importing ``scipy``. This experimental support is still
under
development and likely to contain bugs - testing is very welcome.
`scipy.integrate` improvements
==============================
- Added `scipy.integrate.cumulative_simpson` for cumulative quadrature
from sampled data using Simpson's 1/3 rule.
`scipy.interpolate` improvements
================================
- New class ``NdBSpline`` represents tensor-product splines in N dimensions.
This class only knows how to evaluate a tensor product given coefficients
and knot vectors. This way it generalizes ``BSpline`` for 1D data to N-D,
and
parallels ``NdPPoly`` (which represents N-D tensor product polynomials).
Evaluations exploit the localized nature of b-splines.
- ``NearestNDInterpolator.__call__`` accepts ``**query_options``, which are
passed through to the ``KDTree.query`` call to find nearest neighbors.
This
allows, for instance, to limit the neighbor search distance and
parallelize
the query using the ``workers`` keyword.
- ``BarycentricInterpolator`` now allows computing the derivatives.
- It is now possible to change interpolation values in an existing
``CloughTocher2DInterpolator`` instance, while also saving the barycentric
coordinates of interpolation points.
`scipy.linalg` improvements
===========================
- Access to new low-level LAPACK functions is provided via ``dtgsyl`` and
``stgsyl``.
`scipy.ndimage` improvements
============================
`scipy.optimize` improvements
=============================
- `scipy.optimize.isotonic_regression` has been added to allow
nonparametric isotonic
regression.
- `scipy.optimize.nnls` is rewritten in Python and now implements the
so-called
fnnls or fast nnls, making it more efficient for high-dimensional
problems.
- The result object of `scipy.optimize.root` and
`scipy.optimize.root_scalar`
now reports the method used.
- The ``callback`` method of `scipy.optimize.differential_evolution` can
now be
passed more detailed information via the ``intermediate_results`` keyword
parameter. Also, the evolution ``strategy`` now accepts a callable for
additional customization. The performance of ``differential_evolution``
has
also been improved.
- `scipy.optimize.minimize` method ``Newton-CG`` now supports functions that
return sparse Hessian matrices/arrays for the ``hess`` parameter and is
slightly
more efficient.
- `scipy.optimize.minimize` method ``BFGS`` now accepts an initial estimate
for the
inverse of the Hessian, which allows for more efficient workflows in some
circumstances. The new parameter is ``hess_inv0``.
- `scipy.optimize.minimize` methods ``CG``, ``Newton-CG``, and ``BFGS`` now
accept
parameters ``c1`` and ``c2``, allowing specification of the Armijo and
curvature rule
parameters, respectively.
- `scipy.optimize.curve_fit` performance has improved due to more efficient
memoization
of the callable function.
`scipy.signal` improvements
===========================
- ``freqz``, ``freqz_zpk``, and ``group_delay`` are now more accurate
when ``fs`` has a default value.
- The new class ``ShortTimeFFT`` provides a more versatile implementation
of the
short-time Fourier transform (STFT), its inverse (ISTFT) as well as the
(cross-)
spectrogram. It utilizes an improved algorithm for calculating the ISTFT
based on
dual windows and provides more fine-grained control of the
parametrization especially
in regard to scaling and phase-shift. Functionality was implemented to
ease
working with signal and STFT chunks. A section has been added to the
"SciPy User Guide"
providing algorithmic details. The functions ``stft``, ``istft`` and
``spectrogram``
have been marked as legacy.
`scipy.sparse` improvements
===========================
- ``sparse.linalg`` iterative solvers ``sparse.linalg.cg``,
``sparse.linalg.cgs``, ``sparse.linalg.bicg``, ``sparse.linalg.bicgstab``,
``sparse.linalg.gmres``, and ``sparse.linalg.qmr`` are rewritten in
Python.
- Updated vendored SuperLU version to ``6.0.1``, along with a few additional
fixes.
- Sparse arrays have gained additional constructors: ``eye_array``,
``random_array``, ``block_array``, and ``identity``. ``kron`` and
``kronsum``
have been adjusted to additionally support operation on sparse arrays.
- Sparse matrices now support a transpose with ``axes=(1, 0)``, to mirror
the ``.T`` method.
- ``LaplacianNd`` now allows selection of the largest subset of eigenvalues,
and additionally now supports retrieval of the corresponding eigenvectors.
The performance of ``LaplacianNd`` has also been improved.
- The performance of ``dok_matrix`` and ``dok_array`` has been improved,
and their inheritance behavior should be more robust.
- ``hstack``, ``vstack``, and ``block_diag`` now work with sparse arrays,
and
preserve the input sparse type.
- A new function, `scipy.sparse.linalg.matrix_power`, has been added,
allowing
for exponentiation of sparse arrays.
`scipy.spatial` improvements
============================
- Two new methods were implemented for ``spatial.transform.Rotation``:
``__pow__`` to raise a rotation to integer or fractional power and
``approx_equal`` to check if two rotations are approximately equal.
- The method ``Rotation.align_vectors`` was extended to solve a constrained
alignment problem where two vectors are required to be aligned precisely.
Also when given a single pair of vectors, the algorithm now returns the
rotation with minimal magnitude, which can be considered as a minor
backward incompatible change.
- A new representation for ``spatial.transform.Rotation`` called Davenport
angles is available through ``from_davenport`` and ``as_davenport``
methods.
- Performance improvements have been added to ``distance.hamming`` and
``distance.correlation``.
- Improved performance of ``SphericalVoronoi`` ``sort_vertices_of_regions``
and two dimensional area calculations.
`scipy.special` improvements
============================
- Added `scipy.special.stirling2` for computation of Stirling numbers of the
second kind. Both exact calculation and an asymptotic approximation
(the default) are supported via ``exact=True`` and ``exact=False`` (the
default) respectively.
- Added `scipy.special.betaincc` for computation of the complementary
incomplete Beta function and `scipy.special.betainccinv` for computation
of
its inverse.
- Improved precision of `scipy.special.betainc` and
`scipy.special.betaincinv`.
- Experimental support added for alternative backends: functions
`scipy.special.log_ndtr`, `scipy.special.ndtr`, `scipy.special.ndtri`,
`scipy.special.erf`, `scipy.special.erfc`, `scipy.special.i0`,
`scipy.special.i0e`, `scipy.special.i1`, `scipy.special.i1e`,
`scipy.special.gammaln`, `scipy.special.gammainc`,
`scipy.special.gammaincc`,
`scipy.special.logit`, and `scipy.special.expit` now accept PyTorch
tensors
and CuPy arrays. These features are still under development and likely to
contain bugs, so they are disabled by default; enable them by setting a
``SCIPY_ARRAY_API`` environment variable to ``1`` before importing
``scipy``.
Testing is appreciated!
`scipy.stats` improvements
==========================
- Added `scipy.stats.quantile_test`, a nonparametric test of whether a
hypothesized value is the quantile associated with a specified
probability.
The ``confidence_interval`` method of the result object gives a confidence
interval of the quantile.
- `scipy.stats.sampling.FastGeneratorInversion` provides a convenient
interface to fast random sampling via numerical inversion of distribution
CDFs.
- `scipy.stats.geometric_discrepancy` adds geometric/topological discrepancy
metrics for random samples.
- `scipy.stats.multivariate_normal` now has a ``fit`` method for fitting
distribution parameters to data via maximum likelihood estimation.
- `scipy.stats.bws_test` performs the Baumgartner-Weiss-Schindler test of
whether two-samples were drawn from the same distribution.
- `scipy.stats.jf_skew_t` implements the Jones and Faddy skew-t
distribution.
- `scipy.stats.anderson_ksamp` now supports a permutation version of the
test
using the ``method`` parameter.
- The ``fit`` methods of `scipy.stats.halfcauchy`,
`scipy.stats.halflogistic`, and
`scipy.stats.halfnorm` are faster and more accurate.
- `scipy.stats.beta` ``entropy`` accuracy has been improved for extreme
values of
distribution parameters.
- The accuracy of ``sf`` and/or ``isf`` methods have been improved for
several distributions: `scipy.stats.burr`, `scipy.stats.hypsecant`,
`scipy.stats.kappa3`, `scipy.stats.loglaplace`, `scipy.stats.lognorm`,
`scipy.stats.lomax`, `scipy.stats.pearson3`, `scipy.stats.rdist`, and
`scipy.stats.pareto`.
- The following functions now support parameters ``axis``, ``nan_policy``,
and
``keep_dims``: `scipy.stats.entropy`, `scipy.stats.differential_entropy`,
`scipy.stats.variation`, `scipy.stats.ansari`, `scipy.stats.bartlett`,
`scipy.stats.levene`, `scipy.stats.fligner`, `scipy.stats.circmean`,
`scipy.stats.circvar`, `scipy.stats.circstd`, `scipy.stats.tmean`,
`scipy.stats.tvar`, `scipy.stats.tstd`, `scipy.stats.tmin`,
`scipy.stats.tmax`,
and `scipy.stats.tsem`.
- The ``logpdf`` and ``fit`` methods of `scipy.stats.skewnorm` have been
improved.
- The beta negative binomial distribution is implemented as
`scipy.stats.betanbinom`.
- Improved performance of `scipy.stats.invwishart` ``rvs`` and ``logpdf``.
- A source of intermediate overflow in `scipy.stats.boxcox_normmax` with
``method='mle'`` has been eliminated, and the returned value of ``lmbda``
is
constrained such that the transformed data will not overflow.
- `scipy.stats.nakagami` ``stats`` is more accurate and reliable.
- A source of intermediate overflow in `scipy.norminvgauss.pdf` has been
eliminated.
- Added support for masked arrays to `scipy.stats.circmean`,
`scipy.stats.circvar`,
`scipy.stats.circstd`, and `scipy.stats.entropy`.
- `scipy.stats.dirichlet` has gained a new covariance (``cov``) method.
- Improved accuracy of ``entropy`` method of `scipy.stats.multivariate_t`
for large
degrees of freedom.
- `scipy.stats.loggamma` has an improved ``entropy`` method.
*******************
Deprecated features
*******************
- Error messages have been made clearer for objects that don't exist in the
public namespace and warnings sharpened for private attributes that are
not
supposed to be imported at all.
- `scipy.signal.cmplx_sort` has been deprecated and will be removed in
SciPy 1.15. A replacement you can use is provided in the deprecation
message.
- Values the the argument ``initial`` of
`scipy.integrate.cumulative_trapezoid`
other than ``0`` and ``None`` are now deprecated.
- `scipy.stats.rvs_ratio_uniforms` is deprecated in favour of
`scipy.stats.sampling.RatioUniforms`
- `scipy.integrate.quadrature` and `scipy.integrate.romberg` have been
deprecated due to accuracy issues and interface shortcomings. They will
be removed in SciPy 1.15. Please use `scipy.integrate.quad` instead.
- Coinciding with upcoming changes to function signatures (e.g. removal of a
deprecated keyword), we are deprecating positional use of keyword
arguments
for the affected functions, which will raise an error starting with
SciPy 1.14. In some cases, this has delayed the originally announced
removal date, to give time to respond to the second part of the
deprecation.
Affected functions are:
- ``linalg.{eigh, eigvalsh, pinv}``
- ``integrate.simpson``
- ``signal.{firls, firwin, firwin2, remez}``
- ``sparse.linalg.{bicg, bicgstab, cg, cgs, gcrotmk, gmres, lgmres,
minres, qmr, tfqmr}``
- ``special.comb``
- ``stats.kendalltau``
- All wavelet functions have been deprecated, as PyWavelets provides
suitable
implementations; affected functions are: ``signal.{daub, qmf, cascade,
morlet, morlet2, ricker, cwt}``
- ``scipy.integrate.trapz``, ``scipy.integrate.cumtrapz``, and
``scipy.integrate.simps`` have
been deprecated in favour of `scipy.integrate.trapezoid`,
`scipy.integrate.cumulative_trapezoid`,
and `scipy.integrate.simpson` respectively and will be removed in SciPy
1.14.
- The ``tol`` argument of
``scipy.sparse.linalg.{bcg,bicstab,cg,cgs,gcrotmk,gmres,lgmres,minres,qmr,tfqmr}``
is now deprecated in favour of ``rtol`` and will be removed in SciPy 1.14.
Furthermore, the default value of ``atol`` for these functions is due
to change to ``0.0`` in SciPy 1.14.
*********************
Expired Deprecations
*********************
There is an ongoing effort to follow through on long-standing deprecations.
The following previously deprecated features are affected:
- The ``centered`` keyword of `scipy.stats.qmc.LatinHypercube` has been
removed.
Use ``scrambled=False`` instead of ``centered=True``.
- ``scipy.stats.binom_test`` has been removed in favour of
`scipy.stats.binomtest`.
- In `scipy.stats.iqr`, the use of ``scale='raw'`` has been removed in
favour
of ``scale=1``.
******************************
Backwards incompatible changes
******************************
*************
Other changes
*************
- The arguments used to compile and link SciPy are now available via
``show_config``.
*******
Authors
*******
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* Stefan van der Walt (2)
* Warren Weckesser (7)
* Bernhard M. Wiedemann (4)
* Levi John Wolf (1)
* Xuefeng Xu (4) +
* Rory Yorke (2)
* YoussefAli1 (1) +
* Irwin Zaid (4) +
* Jinzhe Zeng (1) +
* JIMMY ZHAO (1) +
A total of 163 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 1.12.0
************************
* `#2725 <https://github.com/scipy/scipy/issues/2725>`__: Barycentric
interpolation should allow evaluation of derivatives
* `#4244 <https://github.com/scipy/scipy/issues/4244>`__: betaincinv
accuracy
* `#4677 <https://github.com/scipy/scipy/issues/4677>`__: Unexpected
behavior from scipy.special.btdtri
* `#4819 <https://github.com/scipy/scipy/issues/4819>`__: Comparison
operator overloading doesn't work with sparse matrices
* `#5022 <https://github.com/scipy/scipy/issues/5022>`__: bicg returns last
iterate, not the smallest-residue vector
* `#6198 <https://github.com/scipy/scipy/issues/6198>`__: callback for
Krylov methods
* `#7241 <https://github.com/scipy/scipy/issues/7241>`__: ENH: Implement
Chandrupatla's algorithm for root finding (simpler/faster...
* `#8792 <https://github.com/scipy/scipy/issues/8792>`__: Newton-CG throws
error when Hessian is a \`scipy.sparse\` class
* `#9527 <https://github.com/scipy/scipy/issues/9527>`__: Anderson-Darling
ksamples can not estimate p-values beyond given...
* `#11516 <https://github.com/scipy/scipy/issues/11516>`__: Recommend
ccache for benchmarks in contributor documentation
* `#12017 <https://github.com/scipy/scipy/issues/12017>`__: Expose FACTOR
parameter instead of using magic number in scipy.optimize.nnls
* `#12748 <https://github.com/scipy/scipy/issues/12748>`__: Convergence
issue of GMRES
* `#12796 <https://github.com/scipy/scipy/issues/12796>`__: BUG:
nonmonotonicity in betaincinv, btdtri, stats.beta.ppf
* `#13306 <https://github.com/scipy/scipy/issues/13306>`__: griddata with
multiple data values
* `#13437 <https://github.com/scipy/scipy/issues/13437>`__: DOC: Add
example as to how to use solve_ivp to solve complex...
* `#14037 <https://github.com/scipy/scipy/issues/14037>`__: ENH: other
quality metrics for random sampling
* `#14480 <https://github.com/scipy/scipy/issues/14480>`__: LSODA
implementation of dense output yields incorrect result
* `#15676 <https://github.com/scipy/scipy/issues/15676>`__: ENH: Implement
\`multivariate_normal.fit\`
* `#15738 <https://github.com/scipy/scipy/issues/15738>`__: DEP: change
default of atol in \`scipy.sparse.linalg.\*\`
* `#16729 <https://github.com/scipy/scipy/issues/16729>`__: _fitpack /
dfitpack duplication
* `#16880 <https://github.com/scipy/scipy/issues/16880>`__: ENH: Add
Rotation.align_vector
* `#17290 <https://github.com/scipy/scipy/issues/17290>`__: ENH: multi
dimensional wasserstein/earth mover distance in Scipy
* `#17398 <https://github.com/scipy/scipy/issues/17398>`__: BUG:
Documentation for \`scipy.optimize.differential_evolution\`...
* `#17462 <https://github.com/scipy/scipy/issues/17462>`__: ENH: Create
Rotations by aligning a primary axis and best-fitting...
* `#17493 <https://github.com/scipy/scipy/issues/17493>`__: BUG: stats:
Occasional failures of some tests of \`levy_stable\`
* `#17572 <https://github.com/scipy/scipy/issues/17572>`__: BUG:
Deprecation warning says to use non-existent symbols
* `#17706 <https://github.com/scipy/scipy/issues/17706>`__: ENH: add
isotonic regression
* `#17734 <https://github.com/scipy/scipy/issues/17734>`__: BUG: dijkstra
algorithm is returning different results in v1.10...
* `#17744 <https://github.com/scipy/scipy/issues/17744>`__: BUG:
test_maxiter_worsening[lgmres] failed on riscv
* `#17756 <https://github.com/scipy/scipy/issues/17756>`__: DOC: dimension
clarification in \`directed_hausdorff \`
* `#17771 <https://github.com/scipy/scipy/issues/17771>`__: BUG: cannot
import ODEintWarning from scipy.integrate
* `#17864 <https://github.com/scipy/scipy/issues/17864>`__: ENH: feature
request for initial hessian estimate in scipy bfgs...
* `#17890 <https://github.com/scipy/scipy/issues/17890>`__: ENH: Stirling
Numbers of the second Kind
* `#18093 <https://github.com/scipy/scipy/issues/18093>`__: BUG: entropy
calculations failing for large values
* `#18279 <https://github.com/scipy/scipy/issues/18279>`__: BUG:
deprecation warnings for private API are misleading
* `#18316 <https://github.com/scipy/scipy/issues/18316>`__: DOC: update
scipy.stats.truncnorm.rvs example
* `#18389 <https://github.com/scipy/scipy/issues/18389>`__: BUG:
Yeo-Johnson Power Transformer gives Numpy warning
* `#18404 <https://github.com/scipy/scipy/issues/18404>`__: ENH: Add
wrapper for LAPACK functions stgsyl and dtgsyl
* `#18432 <https://github.com/scipy/scipy/issues/18432>`__: BUG:
levy_stable.pdf does not use pdf_default_method_name attribute
* `#18452 <https://github.com/scipy/scipy/issues/18452>`__: BUG: DST 2 and
3 with \`norm="ortho"\` are not orthogonal
* `#18457 <https://github.com/scipy/scipy/issues/18457>`__: DOC: clarify
that \`prewitt\` filter does not return the magnitude...
* `#18506 <https://github.com/scipy/scipy/issues/18506>`__: BUG: Strange
behavior of scipy.stats.hypergeom.sf function with...
* `#18511 <https://github.com/scipy/scipy/issues/18511>`__: BUG: Incorrect
hypergeometric mean calculation
* `#18564 <https://github.com/scipy/scipy/issues/18564>`__: BUG:
\`rv_discrete\` fails when support is unbounded below
* `#18568 <https://github.com/scipy/scipy/issues/18568>`__: BUG: circe-ci
eigenvalue-LOBPCG benchmarks do not check accuracy...
* `#18577 <https://github.com/scipy/scipy/issues/18577>`__: DEP: deprecate
positional arguments in \`sparse.gmres\`
* `#18578 <https://github.com/scipy/scipy/issues/18578>`__: DEP: deprecate
positional arguments in \`stats.kendalltau\`
* `#18579 <https://github.com/scipy/scipy/issues/18579>`__: DEP: deprecate
positional arguments in \`firwin\*\`
* `#18580 <https://github.com/scipy/scipy/issues/18580>`__: DEP: removal of
\`scale='raw'\` in \`iqr\`
* `#18581 <https://github.com/scipy/scipy/issues/18581>`__: DEP: removal of
\`stats.binom_test\`
* `#18582 <https://github.com/scipy/scipy/issues/18582>`__: DEP: removal of
parameter \`centered\` of \`stats.qmc.LatinHypercube\`
* `#18592 <https://github.com/scipy/scipy/issues/18592>`__: Semantics of
sparse array creation functions
* `#18637 <https://github.com/scipy/scipy/issues/18637>`__: BUG: Anaconda
environment creation with python 3.11
* `#18639 <https://github.com/scipy/scipy/issues/18639>`__: ENH:
\`multivariate_normal.rvs\` extremely slow
* `#18643 <https://github.com/scipy/scipy/issues/18643>`__: DOC: Problem
with the randint description
* `#18647 <https://github.com/scipy/scipy/issues/18647>`__: BUG: dgbmv
gives "(len(x)>offx+(trans==0?m-1:n-1)\*abs(incx))...
* `#18651 <https://github.com/scipy/scipy/issues/18651>`__: DOC: Missing
equal sign in equation of Lomb-Scargle periodogram
* `#18669 <https://github.com/scipy/scipy/issues/18669>`__: DOC: sparse
docs "matrix" and "array" mixup
* `#18680 <https://github.com/scipy/scipy/issues/18680>`__: stats: XSLOW
test failures in TestFit
* `#18702 <https://github.com/scipy/scipy/issues/18702>`__: DEP: deprecate
aliased integration methods that are (close to)...
* `#18721 <https://github.com/scipy/scipy/issues/18721>`__: TST: Cause of
\`test_linsolve.py\` test failure
* `#18748 <https://github.com/scipy/scipy/issues/18748>`__: [DOC] Incorrect
docstring for \`boxcox_normmax\` argument \`method="mle"\`,...
* `#18836 <https://github.com/scipy/scipy/issues/18836>`__: DOC: API
reference doesn't point users to replacement for interp1d
* `#18838 <https://github.com/scipy/scipy/issues/18838>`__: BUG:
stats.burr12: distribution returns invalid moments
* `#18839 <https://github.com/scipy/scipy/issues/18839>`__: ENH:
concatenating sparse arrays should return sparse arrays
* `#18849 <https://github.com/scipy/scipy/issues/18849>`__: BUG: \`python
dev.py bench\` fails
* `#18860 <https://github.com/scipy/scipy/issues/18860>`__: BUG/BENCH:
clough_tocher benchmark fails
* `#18864 <https://github.com/scipy/scipy/issues/18864>`__: BUG: curve_fit
memoization causes significant overhead in function...
* `#18868 <https://github.com/scipy/scipy/issues/18868>`__: CI/BENCH: Fail
on error
* `#18876 <https://github.com/scipy/scipy/issues/18876>`__: DOC: integrate:
clarify that event and jac must have the same...
* `#18881 <https://github.com/scipy/scipy/issues/18881>`__: DOC: lobpcg
examples improvement
* `#18903 <https://github.com/scipy/scipy/issues/18903>`__: DOC: links in
hacking.rst go back to hacking.rst instead of their...
* `#18939 <https://github.com/scipy/scipy/issues/18939>`__: ENH: add new
representations for Sakurai and Mikota matrices...
* `#18944 <https://github.com/scipy/scipy/issues/18944>`__: How to change
the default setup for using res.plot()
* `#18953 <https://github.com/scipy/scipy/issues/18953>`__: BUG:
\`\`scipy.optimize._differentialevolution\`\` incorrectly...
* `#18966 <https://github.com/scipy/scipy/issues/18966>`__: BUG:
\`PyArray_MAX\` no longer available in \`numpy/arrayobject.h\`
* `#18981 <https://github.com/scipy/scipy/issues/18981>`__: ENH: Publish
musllinux wheels to PyPI
* `#18984 <https://github.com/scipy/scipy/issues/18984>`__: DOC:
scipy.stats.lognorm — SciPy v1.12.0.dev Manual
* `#18987 <https://github.com/scipy/scipy/issues/18987>`__: BUG:
reproducible builds problem in _
stats_pythran.cpython-311-x86_64-linux-gnu.so
* `#19008 <https://github.com/scipy/scipy/issues/19008>`__: DOC: error in
scipy.integrate.DOP853
* `#19009 <https://github.com/scipy/scipy/issues/19009>`__: DOC: Maybe a
typo on the parameter 'alternative' in the Mann-Whitney...
* `#19024 <https://github.com/scipy/scipy/issues/19024>`__: BUG: #18481
made BFGS minimization less accurate
* `#19039 <https://github.com/scipy/scipy/issues/19039>`__: BUG:
stats.zscore returns all NaN if given masked array with...
* `#19049 <https://github.com/scipy/scipy/issues/19049>`__: TST: add test
for gh-17918
* `#19056 <https://github.com/scipy/scipy/issues/19056>`__: ENH: add
computing a selected number \`m\` of extreme eigenpairs...
* `#19063 <https://github.com/scipy/scipy/issues/19063>`__: DOC: typo in
scipy.linalg.pinv.html
* `#19075 <https://github.com/scipy/scipy/issues/19075>`__: ENH: Allow to
choose line-search parameters in related optimization...
* `#19082 <https://github.com/scipy/scipy/issues/19082>`__: MAINT, REL:
Programming Language directive
* `#19090 <https://github.com/scipy/scipy/issues/19090>`__: BUG:
root_scalar (newton method), inconsistent objective function...
* `#19092 <https://github.com/scipy/scipy/issues/19092>`__: ENH: update
vendored SuperLU version
* `#19098 <https://github.com/scipy/scipy/issues/19098>`__: ENH: add method
in RootResults of root_scalar and root
* `#19102 <https://github.com/scipy/scipy/issues/19102>`__: BUG:
\`least_squares\` with \`method='trf'\` with initial params...
* `#19117 <https://github.com/scipy/scipy/issues/19117>`__: TST/MAINT:
\`AssertionError\`s with fresh build on M1 macOS
* `#19118 <https://github.com/scipy/scipy/issues/19118>`__: BUG:
\`np\`-coercible array-likes are not accepted with array...
* `#19140 <https://github.com/scipy/scipy/issues/19140>`__: DOC: stats:
alternative loc-scale handling in levy_stable
* `#19147 <https://github.com/scipy/scipy/issues/19147>`__: BUG: asfarray
is removed from numpy
* `#19150 <https://github.com/scipy/scipy/issues/19150>`__: build warnings
from pythran (?)
* `#19158 <https://github.com/scipy/scipy/issues/19158>`__: BUG: Source
archives have bogus timestamps
* `#19161 <https://github.com/scipy/scipy/issues/19161>`__: ENH: allow
\`sparse_matrix.transpose(axes=(1, 0))\`
* `#19167 <https://github.com/scipy/scipy/issues/19167>`__: BUG: build
graph non-determinism
* `#19177 <https://github.com/scipy/scipy/issues/19177>`__: TST:
SphericalVoronoi tests not sensitive to regions internal...
* `#19185 <https://github.com/scipy/scipy/issues/19185>`__: BUG:
minimize_scalar not checking entire area specified by bounds
* `#19188 <https://github.com/scipy/scipy/issues/19188>`__: DOC: 1D arrays
with KDTree
* `#19190 <https://github.com/scipy/scipy/issues/19190>`__: TST: skip
reason incorrect in some cases, related to array API...
* `#19193 <https://github.com/scipy/scipy/issues/19193>`__: DOC: typo in
scipy.stats.Covariance
* `#19241 <https://github.com/scipy/scipy/issues/19241>`__: BUG: utils from
scipy.sparse.sputils are not available from scipy.sparse...
* `#19273 <https://github.com/scipy/scipy/issues/19273>`__: Calculation of
frequencies w is not accurate when fs is default...
* `#19276 <https://github.com/scipy/scipy/issues/19276>`__: MAINT: array
types: make \`compliance_scipy\` more strict
* `#19332 <https://github.com/scipy/scipy/issues/19332>`__: ENH: help
\`skewnorm.fit\` find global minimum
* `#19352 <https://github.com/scipy/scipy/issues/19352>`__: CI, BUILD:
SciPy build failure with Cython 3.0.3 (bisected)
* `#19363 <https://github.com/scipy/scipy/issues/19363>`__: DOC:
inconsistent terminology at scipy.interpolate.griddata.html
* `#19373 <https://github.com/scipy/scipy/issues/19373>`__: DOC:
interpolate: add note to BarycentricInterpolator.add_xi...
* `#19396 <https://github.com/scipy/scipy/issues/19396>`__: BUG: L-BFGS-B
has surprisingly high memory consumption
* `#19398 <https://github.com/scipy/scipy/issues/19398>`__: BUG: Missing
assertion in test_filter_design.py
* `#19406 <https://github.com/scipy/scipy/issues/19406>`__: CI, MAINT:
known CI issue with NumPy main/latest
* `#19442 <https://github.com/scipy/scipy/issues/19442>`__: BUG: Error
collecting tests due to inconsistent parameterization...
* `#19448 <https://github.com/scipy/scipy/issues/19448>`__: DOC:fft:
next_fast_len signature is empty in docs
* `#19490 <https://github.com/scipy/scipy/issues/19490>`__: MAINT: lint:
fail inventory
* `#19544 <https://github.com/scipy/scipy/issues/19544>`__: DOC/MAINT:
refguide-check errors
* `#19553 <https://github.com/scipy/scipy/issues/19553>`__: BUG: Test suite
leaks file descriptors (\`OSError: [Errno 24]...
* `#19565 <https://github.com/scipy/scipy/issues/19565>`__: DOC/DX:
\`meson-python\` missing from 'required build dependencies'
* `#19568 <https://github.com/scipy/scipy/issues/19568>`__: DOC/DX: \`cd
scipy\` missing from 'Building from source'
* `#19575 <https://github.com/scipy/scipy/issues/19575>`__: BUG:
scipy.ndimage.watershed_ift cost data type is too small...
* `#19577 <https://github.com/scipy/scipy/issues/19577>`__: Windows build
problems related to fast matrix market parts
* `#19599 <https://github.com/scipy/scipy/issues/19599>`__: ENH: Returning
NotImplemented when multiplying sparse arrays...
* `#19612 <https://github.com/scipy/scipy/issues/19612>`__: ENH: add best
cost function evaluation to differential evolution...
* `#19616 <https://github.com/scipy/scipy/issues/19616>`__: BUG: Normal
Inverse Gaussian numerically unstable
* `#19620 <https://github.com/scipy/scipy/issues/19620>`__: _lib: Test
error in test_warning_calls_filters because of a Python...
* `#19636 <https://github.com/scipy/scipy/issues/19636>`__: DOC: issue in
documentation for the callback argument in scipy.optimize.minimize
* `#19640 <https://github.com/scipy/scipy/issues/19640>`__: CI, MAINT:
pre-release job failures with scipy-openblas32
* `#19726 <https://github.com/scipy/scipy/issues/19726>`__: BUG: 1.12.0rc1:
build failure on windows due to macro collision...
* `#19747 <https://github.com/scipy/scipy/issues/19747>`__: BUG: Invalid
\`IndexError\` from \`scipy.stats.nbinom.logcdf\`
* `#19795 <https://github.com/scipy/scipy/issues/19795>`__: MAINT: need
stable Pythran release for SciPy 1.12.0 RC2
* `#19804 <https://github.com/scipy/scipy/issues/19804>`__: MAINT/TST:
Warnings failing test suite with \`pytest 8\`
* `#19852 <https://github.com/scipy/scipy/issues/19852>`__: CI, MAINT:
Windows 3.11 CI failure with file access issue
* `#19906 <https://github.com/scipy/scipy/issues/19906>`__: BUG: 1.12.0rc2
SciPy rather than scipy in \`pip list\` output
************************
Pull requests for 1.12.0
************************
* `#12680 <https://github.com/scipy/scipy/pull/12680>`__: ENH: stats: add
nonparametric one-sample quantile test and CI
* `#14103 <https://github.com/scipy/scipy/pull/14103>`__: DOC: integrate:
Add complex matrix DE solution to examples
* `#14552 <https://github.com/scipy/scipy/pull/14552>`__: BUG: Fix LSODA
interpolation scheme
* `#17408 <https://github.com/scipy/scipy/pull/17408>`__: ENH: Short-Time
Fourier Transform (STFT) Enhancements
* `#17452 <https://github.com/scipy/scipy/pull/17452>`__: ENH: Add the
__pow__ operator for Rotations
* `#17460 <https://github.com/scipy/scipy/pull/17460>`__: ENH: New Rotation
method approx_equal()
* `#17473 <https://github.com/scipy/scipy/pull/17473>`__: ENH: stats:
multivariate Wasserstein distance/EMD
* `#17495 <https://github.com/scipy/scipy/pull/17495>`__: DOC: Optimize:
update DE documentation
* `#17542 <https://github.com/scipy/scipy/pull/17542>`__: ENH: Extend
Rotation.align_vectors() to allow an infinite weight,...
* `#17697 <https://github.com/scipy/scipy/pull/17697>`__: ENH: special:
Improvements for the incomplete beta functions.
* `#17719 <https://github.com/scipy/scipy/pull/17719>`__: ENH: Add
Chandrupatla's algorithm to optimize._zeros_py.py to...
* `#17722 <https://github.com/scipy/scipy/pull/17722>`__: ENH add pava and
isotonic_regression
* `#17728 <https://github.com/scipy/scipy/pull/17728>`__: ENH: Implemented
Rotation.from_davenport and Rotation.as_davenport
* `#17757 <https://github.com/scipy/scipy/pull/17757>`__: DOC: clarify
input dimensions for \`directed_hausdorff\` method
* `#17955 <https://github.com/scipy/scipy/pull/17955>`__: ENH: add
simplified fast numerical inversion to stats.sampling
* `#18103 <https://github.com/scipy/scipy/pull/18103>`__: ENH: add
stirling2 function to \`scipy.special\`
* `#18133 <https://github.com/scipy/scipy/pull/18133>`__: BUG: Fix fails of
some tests and bad behaviour for x=zeta in...
* `#18151 <https://github.com/scipy/scipy/pull/18151>`__: ENH: add
cumulative_simpson integration to scipy.integrate
* `#18156 <https://github.com/scipy/scipy/pull/18156>`__: ENH: Added
loggamma entropy method
* `#18197 <https://github.com/scipy/scipy/pull/18197>`__: ENH: Add
derivatives for BarycentricInterpolator
* `#18219 <https://github.com/scipy/scipy/pull/18219>`__: DEP: integrate:
Deprecate \`initial\` values other than None...
* `#18348 <https://github.com/scipy/scipy/pull/18348>`__: ENH: add private
function to bracket root of monotonic function
* `#18361 <https://github.com/scipy/scipy/pull/18361>`__: ENH: add \`fit\`
method to \`multivariate_normal\`
* `#18363 <https://github.com/scipy/scipy/pull/18363>`__: ENH: stats: add
Baumgartner-Weiss-Schindler test
* `#18376 <https://github.com/scipy/scipy/pull/18376>`__: ENH:
CloughTocher2DInterpolator multiple times with different...
* `#18465 <https://github.com/scipy/scipy/pull/18465>`__: ENH: asymptotic
expansion for multivariate t entropy
* `#18470 <https://github.com/scipy/scipy/pull/18470>`__: ENH:
stats.anderson_ksamp: re-add permutation version of test
* `#18477 <https://github.com/scipy/scipy/pull/18477>`__: DOC:
stats.truncnorm: add example about truncation points
* `#18481 <https://github.com/scipy/scipy/pull/18481>`__: MAINT:
differentiable fns respect float width. Closes #15602
* `#18488 <https://github.com/scipy/scipy/pull/18488>`__:
MAINT:ENH:sparse.linalg: Rewrite iterative solvers in Python,...
* `#18492 <https://github.com/scipy/scipy/pull/18492>`__: Add NdBSpline:
n-dim tensor product b-spline object
* `#18496 <https://github.com/scipy/scipy/pull/18496>`__: ENH: Faster
_select_samples in _differential_evolution.py
* `#18499 <https://github.com/scipy/scipy/pull/18499>`__: ENH: asymptotic
expansion for beta entropy for large a and b
* `#18544 <https://github.com/scipy/scipy/pull/18544>`__: ENH:
sparse.linalg: Implement matrix_power()
* `#18552 <https://github.com/scipy/scipy/pull/18552>`__: DOC:
stats.laplace_asymmetric: note relationship between scale...
* `#18570 <https://github.com/scipy/scipy/pull/18570>`__: ENH:optimize:
Rewrite nnls in Python
* `#18571 <https://github.com/scipy/scipy/pull/18571>`__: ENH: linalg: Add
wrapper for \`?tgsyl\`
* `#18575 <https://github.com/scipy/scipy/pull/18575>`__: REL: set version
to 1.12.0.dev0
* `#18585 <https://github.com/scipy/scipy/pull/18585>`__: DOC:
stats.rv_discrete: note that default methods are not compatible...
* `#18586 <https://github.com/scipy/scipy/pull/18586>`__: ENH: override sf
for rdist distribution
* `#18587 <https://github.com/scipy/scipy/pull/18587>`__: DEP: signal:
deprecate cmplx_sort
* `#18589 <https://github.com/scipy/scipy/pull/18589>`__: DEP: remove
parameter centered of stats.qmc.LatinHypercube
* `#18594 <https://github.com/scipy/scipy/pull/18594>`__: DOC: more
explicit example usage of scipy.linalg.lu_factor
* `#18602 <https://github.com/scipy/scipy/pull/18602>`__: MAINT:
stats.hypergeom.mean: correct for large args
* `#18606 <https://github.com/scipy/scipy/pull/18606>`__: ENH: override sf
for Pearson3 distribution
* `#18609 <https://github.com/scipy/scipy/pull/18609>`__: TST: update
nonlin tests for sparse arrays
* `#18610 <https://github.com/scipy/scipy/pull/18610>`__: DEP: stats:
remove deprecated binom_test
* `#18612 <https://github.com/scipy/scipy/pull/18612>`__: DEP: stats.iqr:
remove deprecated \`scale='raw'\`
* `#18613 <https://github.com/scipy/scipy/pull/18613>`__: BUG: fix ortho
mode in DST type 2/3
* `#18614 <https://github.com/scipy/scipy/pull/18614>`__: MAINT: don't
override sf for loguniform/reciprocal distribution
* `#18616 <https://github.com/scipy/scipy/pull/18616>`__: ENH: override sf
in loglaplace distribution
* `#18617 <https://github.com/scipy/scipy/pull/18617>`__: MAINT:
interpolate: delete duplicated FITPACK bisplev interface
* `#18620 <https://github.com/scipy/scipy/pull/18620>`__: MAINT: signal:
avoid eval/exec in hilbert2
* `#18622 <https://github.com/scipy/scipy/pull/18622>`__: MAINT: Move
rvs_ratio_uniforms to sampling
* `#18624 <https://github.com/scipy/scipy/pull/18624>`__: DEP: adjust
deprecation of positional arguments
* `#18631 <https://github.com/scipy/scipy/pull/18631>`__: ENH: Add
\`fast_matrix_market\` to scipy.io
* `#18633 <https://github.com/scipy/scipy/pull/18633>`__: BUG: Fix issue
levy_stable.pdf
* `#18640 <https://github.com/scipy/scipy/pull/18640>`__: MAINT: Fix lint
warnings in \`_traversal.pyx\`
* `#18641 <https://github.com/scipy/scipy/pull/18641>`__: ENH: makes
\`_covariance\` a cached property
* `#18649 <https://github.com/scipy/scipy/pull/18649>`__: DEP:
scipy.stats.morestats: clarify deprecation warnings
* `#18652 <https://github.com/scipy/scipy/pull/18652>`__: BUG: Fixes how
the length of argument x of linalg.blas.?gbmv...
* `#18653 <https://github.com/scipy/scipy/pull/18653>`__: DOC: Add missing
equal sign to Lomb-Scargle periodogram equation
* `#18661 <https://github.com/scipy/scipy/pull/18661>`__: CI: update
\`SCIPY_NIGHTLY_UPLOAD_TOKEN\` on CirrusCI.
* `#18664 <https://github.com/scipy/scipy/pull/18664>`__: ENH:
stats.dirichlet: add covariance method
* `#18666 <https://github.com/scipy/scipy/pull/18666>`__: DEV: update
environment.yml, removing setuptools
* `#18667 <https://github.com/scipy/scipy/pull/18667>`__: DEV: Add Windows
specific instructions to environment.yml
* `#18668 <https://github.com/scipy/scipy/pull/18668>`__: ENH: add
machinery to support Array API
* `#18670 <https://github.com/scipy/scipy/pull/18670>`__: MAINT: signal:
deduplicate \*ord functions
* `#18677 <https://github.com/scipy/scipy/pull/18677>`__: TST: linalg:
improve seeding of some tests that are a problem...
* `#18679 <https://github.com/scipy/scipy/pull/18679>`__:
MAINT:stats:Cythonize and remove Fortran statlib code
* `#18682 <https://github.com/scipy/scipy/pull/18682>`__: TST: stats: fix
xslow test failures
* `#18686 <https://github.com/scipy/scipy/pull/18686>`__: DEV: Add ability
to run memory benchmarks on macOS
* `#18689 <https://github.com/scipy/scipy/pull/18689>`__: CI: test with
Python 3.12-beta
* `#18690 <https://github.com/scipy/scipy/pull/18690>`__: DOC: mention that
\`genlogistic\` is one of several types of...
* `#18692 <https://github.com/scipy/scipy/pull/18692>`__: MAINT: signal:
replace \`np.r_["-1", arrays]\` by a more sane...
* `#18694 <https://github.com/scipy/scipy/pull/18694>`__: DOC: signal:
Updated Chebyshev 2 documentation
* `#18695 <https://github.com/scipy/scipy/pull/18695>`__: ENH: override
halflogistic fit for free parameters
* `#18696 <https://github.com/scipy/scipy/pull/18696>`__: MAINT Fix broken
link in scipy.optimize._differentialevolution.py
* `#18699 <https://github.com/scipy/scipy/pull/18699>`__: DEP: integrate:
deprecate old aliases
* `#18705 <https://github.com/scipy/scipy/pull/18705>`__: MAINT Optimize
link in scipy.optimize._differentialevolution.py
* `#18706 <https://github.com/scipy/scipy/pull/18706>`__: DOC: linalg:
various doc improvements
* `#18708 <https://github.com/scipy/scipy/pull/18708>`__: MAINT:
signal/dlsim: avoid using interp1d; use make_interp_spline...
* `#18710 <https://github.com/scipy/scipy/pull/18710>`__: MAINT: remove
np.r_["-1", ...]
* `#18712 <https://github.com/scipy/scipy/pull/18712>`__: MAINT: bump
minimal supported NumPy version to 1.22.4
* `#18713 <https://github.com/scipy/scipy/pull/18713>`__: MAINT: fix linter
error in \`_fitpack_impl.py\`
* `#18714 <https://github.com/scipy/scipy/pull/18714>`__: ENH: Improve beta
entropy when one argument is large
* `#18715 <https://github.com/scipy/scipy/pull/18715>`__: MAINT: signal:
remove duplicated _atleast_2d_or_none
* `#18718 <https://github.com/scipy/scipy/pull/18718>`__: TST: mark two
tests of \`lsq_linear\` as xslow
* `#18719 <https://github.com/scipy/scipy/pull/18719>`__: MAINT:
optimize._chandrupatla: result object fixup
* `#18720 <https://github.com/scipy/scipy/pull/18720>`__: DOC: Fix
notational variation in _lbfgsb_py.py: "pg_i" and "proj...
* `#18723 <https://github.com/scipy/scipy/pull/18723>`__:
MAINT:sparse.linalg: Use _NoValue for deprecated kwargs
* `#18726 <https://github.com/scipy/scipy/pull/18726>`__: ENH: improve
halflogistic distribution fitting with fixed parameters
* `#18727 <https://github.com/scipy/scipy/pull/18727>`__: MAINT: Add skip
CI link to PR template
* `#18728 <https://github.com/scipy/scipy/pull/18728>`__: MAINT:
optimize._chandrupatla: refactor for code reuse
* `#18729 <https://github.com/scipy/scipy/pull/18729>`__: DOC: Add note
connecting weibull_min to standard exponential.
* `#18734 <https://github.com/scipy/scipy/pull/18734>`__: MAINT: Update
codeowners
* `#18742 <https://github.com/scipy/scipy/pull/18742>`__: ENH:
differential_evolution callback accepts intermediate_result
* `#18744 <https://github.com/scipy/scipy/pull/18744>`__:
TST:sparse.linalg:Relax test_hermitian_modes tolerances
* `#18746 <https://github.com/scipy/scipy/pull/18746>`__: MAINT: forward
port 1.11.0 relnotes
* `#18755 <https://github.com/scipy/scipy/pull/18755>`__: ENH: override isf
for Burr distribution
* `#18756 <https://github.com/scipy/scipy/pull/18756>`__: DOC:
stats.boxcox_normmax: correct minimize -> maximize
* `#18758 <https://github.com/scipy/scipy/pull/18758>`__: DOC: Document
performance cliff for scipy.sparse.random
* `#18760 <https://github.com/scipy/scipy/pull/18760>`__: ENH: override
halfnorm fit
* `#18764 <https://github.com/scipy/scipy/pull/18764>`__: ENH: stats: add
informative error message to \`boxcox_normmax\`...
* `#18771 <https://github.com/scipy/scipy/pull/18771>`__: Fix typo from
#18758
* `#18777 <https://github.com/scipy/scipy/pull/18777>`__: DOC: Clarify
Prewitt filter
* `#18783 <https://github.com/scipy/scipy/pull/18783>`__: ENH: stats:
Implement _sf and _isf for hypsecant.
* `#18786 <https://github.com/scipy/scipy/pull/18786>`__: MAINT: forward
port 1.11.1 relnotes
* `#18794 <https://github.com/scipy/scipy/pull/18794>`__: MAINT: fix
\`halflogistic.fit\` for bad location guess
* `#18795 <https://github.com/scipy/scipy/pull/18795>`__: BUG, DOC: Correct
\`adsurl\` value and add a general \`url\`...
* `#18799 <https://github.com/scipy/scipy/pull/18799>`__: ENH: simplify
\`gausshyper.pdf\`
* `#18802 <https://github.com/scipy/scipy/pull/18802>`__: MAINT: Use
\`sparse.diags\` instead of \`spdiags\` internally.
* `#18803 <https://github.com/scipy/scipy/pull/18803>`__: MAINT:
\`rv_discrete\` should raise with duplicate \`xk\` in...
* `#18807 <https://github.com/scipy/scipy/pull/18807>`__: ENH: remove
unnecessary root-find from skewnorm
* `#18808 <https://github.com/scipy/scipy/pull/18808>`__: TST: test for
gh-18800
* `#18812 <https://github.com/scipy/scipy/pull/18812>`__: DEP: linalg:
sharpen deprecation warning for pinv {,r}cond
* `#18814 <https://github.com/scipy/scipy/pull/18814>`__: DOC: update
windows instructions and move conda/mamba
* `#18815 <https://github.com/scipy/scipy/pull/18815>`__: ENH:stats: Add
_isf method to loglaplace
* `#18816 <https://github.com/scipy/scipy/pull/18816>`__: ENH:stats: Add
_isf method to lognorm
* `#18817 <https://github.com/scipy/scipy/pull/18817>`__: DOC: Fix examples
in randint description
* `#18818 <https://github.com/scipy/scipy/pull/18818>`__: MAINT: Simplify
codespaces env activation
* `#18819 <https://github.com/scipy/scipy/pull/18819>`__: TST:
stats.dgamma.pdf: adjust test that fails intermittently
* `#18820 <https://github.com/scipy/scipy/pull/18820>`__: ENH:stats: Add
_isf method to pareto
* `#18822 <https://github.com/scipy/scipy/pull/18822>`__: ENH:stats: Add
_sf and _isf methods to kappa3
* `#18823 <https://github.com/scipy/scipy/pull/18823>`__: ENH:stats: Add
_isf method to lomax
* `#18824 <https://github.com/scipy/scipy/pull/18824>`__: ENH: override
halfcauchy distribution fit
* `#18826 <https://github.com/scipy/scipy/pull/18826>`__: DEP: linalg: use
_NoValue for eigh/eigvalsh positional argument...
* `#18829 <https://github.com/scipy/scipy/pull/18829>`__: ENH: optimize:
vectorized minimization of univariate functions
* `#18830 <https://github.com/scipy/scipy/pull/18830>`__: DOC: soften
wording on import guidelines, mention lazy loading
* `#18833 <https://github.com/scipy/scipy/pull/18833>`__: ENH: optimize:
release the GIL while computing the LSAP solution
* `#18835 <https://github.com/scipy/scipy/pull/18835>`__: DEP:
scipy.stats.stats: clarify deprecation warnings
* `#18840 <https://github.com/scipy/scipy/pull/18840>`__: MAINT:
stats.burr12: moments are undefined when c\*d <= order
* `#18841 <https://github.com/scipy/scipy/pull/18841>`__: MAINT: \*sctype\*
replace NumPy 2.0
* `#18843 <https://github.com/scipy/scipy/pull/18843>`__: DEP: vendor
sklearn's mechanism to deprecate passing kwargs positionally
* `#18846 <https://github.com/scipy/scipy/pull/18846>`__: MAINT: Reduce
file size of the SVG files included in \`signal.rst\`
* `#18847 <https://github.com/scipy/scipy/pull/18847>`__: MAINT: ptp no
method for NumPy 2.0
* `#18848 <https://github.com/scipy/scipy/pull/18848>`__: ENH: add compile
and link args to \`show_config\` output
* `#18850 <https://github.com/scipy/scipy/pull/18850>`__: ENH: improve
performance of \`SphericalVoronoi\` area calculation
* `#18852 <https://github.com/scipy/scipy/pull/18852>`__: BUG: fix overflow
in stats.yeojohnson
* `#18853 <https://github.com/scipy/scipy/pull/18853>`__: BENCH: Remove
factorial benchmarks
* `#18854 <https://github.com/scipy/scipy/pull/18854>`__: MAINT: signal:
lighten the notation in lsim
* `#18856 <https://github.com/scipy/scipy/pull/18856>`__: MAINT: Remove
more runtests.py stuff
* `#18858 <https://github.com/scipy/scipy/pull/18858>`__: MAINT: clean up
views/strides/dtypes utilities in \`cluster.hierarcy\`
* `#18861 <https://github.com/scipy/scipy/pull/18861>`__: MAINT: avoid
\`np.deprecate\` and \`np.core\`, add \`normalize_axis_index\`...
* `#18862 <https://github.com/scipy/scipy/pull/18862>`__: ENH: sparse
arrays for hstack, vstack, bmat, block_diag. New...
* `#18863 <https://github.com/scipy/scipy/pull/18863>`__: DEP: remove extra
np.deprecate and add docs back
* `#18872 <https://github.com/scipy/scipy/pull/18872>`__: DOC: Add
relationship between Fisk (log-logistic) and logistic.
* `#18873 <https://github.com/scipy/scipy/pull/18873>`__: DOC: add more
cross compilation details
* `#18885 <https://github.com/scipy/scipy/pull/18885>`__: DOC: minor issues
in install commands
* `#18886 <https://github.com/scipy/scipy/pull/18886>`__: MAINT/DOC: remove
docstring issues in ndimage
* `#18887 <https://github.com/scipy/scipy/pull/18887>`__: DOC: tab sync
based on same tab name using \`\`sync\`\` statement
* `#18888 <https://github.com/scipy/scipy/pull/18888>`__: MAINT: Set RAM
requirement for Codespaces
* `#18889 <https://github.com/scipy/scipy/pull/18889>`__: CI: Add
prerelease build with 64bit OpenBLAS nightly
* `#18893 <https://github.com/scipy/scipy/pull/18893>`__: ENH: Geometric
quality metrics for random sampling
* `#18898 <https://github.com/scipy/scipy/pull/18898>`__: DOC: fix sparse
docs "matrix" and "array" mixup
* `#18905 <https://github.com/scipy/scipy/pull/18905>`__: DOC: Clarify DOF
in f-distribution notes
* `#18910 <https://github.com/scipy/scipy/pull/18910>`__: DOC: from
CONTRIBUTING.rst link to SciPy website
* `#18911 <https://github.com/scipy/scipy/pull/18911>`__: DOC/MAINT:
\`special\` doc fixes
* `#18914 <https://github.com/scipy/scipy/pull/18914>`__: ENH: Enhance
\`dev.py\` by adding command to query PYTHONPATH
* `#18916 <https://github.com/scipy/scipy/pull/18916>`__: DEP: stats:
improve deprecation of private but present modules
* `#18917 <https://github.com/scipy/scipy/pull/18917>`__: ENH: move {c,
q}spline_1d to use sosfilt/lfilter
* `#18920 <https://github.com/scipy/scipy/pull/18920>`__: DOC: indicate
functions with multiple valid solutions in csgraph
* `#18927 <https://github.com/scipy/scipy/pull/18927>`__: TST: use
Hypothesis for property-based tests
* `#18929 <https://github.com/scipy/scipy/pull/18929>`__: ENH: change
sparse dok from subclass of dict to have attribute...
* `#18930 <https://github.com/scipy/scipy/pull/18930>`__: ENH: _lib._util:
make _lazywhere compatible with Array API
* `#18931 <https://github.com/scipy/scipy/pull/18931>`__: MAINT: cleanup
redundant tests for \`vonmises.fit\`
* `#18932 <https://github.com/scipy/scipy/pull/18932>`__: DEP: deprecate
positional arguments for some methods in signal._fir_f…
* `#18933 <https://github.com/scipy/scipy/pull/18933>`__: DEP: deprecate
positional arguments for special.comb
* `#18934 <https://github.com/scipy/scipy/pull/18934>`__: DEP: deprecate
positional arguments for some methods in sparse.linalg…
* `#18935 <https://github.com/scipy/scipy/pull/18935>`__: DEP: deprecate
positional arguments for linalg.pinv
* `#18936 <https://github.com/scipy/scipy/pull/18936>`__: DEP: deprecate
positional arguments for stats.kendalltau
* `#18942 <https://github.com/scipy/scipy/pull/18942>`__: CI: Change
OpenBLAS nightly wheel location
* `#18943 <https://github.com/scipy/scipy/pull/18943>`__: DEP:
sparse.linalg: deprecate positional arguments for gcrotmk,...
* `#18946 <https://github.com/scipy/scipy/pull/18946>`__: DEP: linalg:
deprecate positional args for eigh/eigvalsh
* `#18948 <https://github.com/scipy/scipy/pull/18948>`__: ENH: Jones and
Faddy Skew-T distribution
* `#18949 <https://github.com/scipy/scipy/pull/18949>`__: DOC:
stats.FitResult.plot: add example
* `#18952 <https://github.com/scipy/scipy/pull/18952>`__: MAINT: Remove
\`._is_array\` since there's now: \`isinstance(x,...
* `#18954 <https://github.com/scipy/scipy/pull/18954>`__: BENCH:
update/rewrite lobpcg benchmark sparse_linalg_lobpcg.py
* `#18955 <https://github.com/scipy/scipy/pull/18955>`__: MAINT/DOC:
spatial: Document and test the double cover property...
* `#18958 <https://github.com/scipy/scipy/pull/18958>`__: MAINT:
optimize.differential_evolution: clarify that bounds must...
* `#18962 <https://github.com/scipy/scipy/pull/18962>`__: Update name of
coverage action
* `#18963 <https://github.com/scipy/scipy/pull/18963>`__:
ENH:sparse.linalg: Add LaplacianNd class to special sparse arrays
* `#18967 <https://github.com/scipy/scipy/pull/18967>`__: MAINT: redefine
\`PyArray_MAX\`/\`PyArray_MIN\` because they...
* `#18968 <https://github.com/scipy/scipy/pull/18968>`__: DEP: optimize:
improve deprecation of private modules named without...
* `#18970 <https://github.com/scipy/scipy/pull/18970>`__: DEP: integrate:
improve deprecation of private modules named...
* `#18973 <https://github.com/scipy/scipy/pull/18973>`__: MAINT: linalg:
remove a stray np.cast
* `#18975 <https://github.com/scipy/scipy/pull/18975>`__: ENH: Port scipy
to use new numpy complex types
* `#18977 <https://github.com/scipy/scipy/pull/18977>`__: ENH: Expose c1
and c2 of scalar_search_wolfe to fmin_bfgs
* `#18986 <https://github.com/scipy/scipy/pull/18986>`__: ENH: add
possibility to fix parameters in multivariate normal...
* `#18992 <https://github.com/scipy/scipy/pull/18992>`__: DEP: interpolate:
improve deprecation of private modules named...
* `#18995 <https://github.com/scipy/scipy/pull/18995>`__: DOC:
stats.lognorm: add example of the relationship between norm...
* `#18996 <https://github.com/scipy/scipy/pull/18996>`__: ENH:
optimize.curve_fit: reduce overhead of lightweight memoization
* `#18997 <https://github.com/scipy/scipy/pull/18997>`__: DOC: add
\`noexcept\` to \`cython_optimize\` docs
* `#19000 <https://github.com/scipy/scipy/pull/19000>`__: MAINT: fft:
rename \`test_numpy.py\` to \`test_basic.py\`
* `#19005 <https://github.com/scipy/scipy/pull/19005>`__: ENH: fft: support
array API standard
* `#19007 <https://github.com/scipy/scipy/pull/19007>`__: BLD: Add venv to
.gitignore
* `#19010 <https://github.com/scipy/scipy/pull/19010>`__: DOC/MAINT: typo:
change Azure reference to Cirrus
* `#19012 <https://github.com/scipy/scipy/pull/19012>`__: DOC:
stats.mannwhitneyu: address apparent sign inconsistency...
* `#19013 <https://github.com/scipy/scipy/pull/19013>`__: DOCS: Fixed typo
in _fitpack2.py
* `#19014 <https://github.com/scipy/scipy/pull/19014>`__: MAINT: copy,
array-api compatible utility function
* `#19015 <https://github.com/scipy/scipy/pull/19015>`__: ENH: Update numpy
exceptions imports
* `#19018 <https://github.com/scipy/scipy/pull/19018>`__: TST/BUG: fix
array API test skip decorators
* `#19023 <https://github.com/scipy/scipy/pull/19023>`__: ENH: special:
dispatch to array library
* `#19030 <https://github.com/scipy/scipy/pull/19030>`__: MAINT: replace
\`optparse\` usage with \`argparse\`
* `#19033 <https://github.com/scipy/scipy/pull/19033>`__: MAINT: Fix
codespaces setup.sh script
* `#19035 <https://github.com/scipy/scipy/pull/19035>`__: DEP: linalg:
improve deprecation of private modules named without...
* `#19045 <https://github.com/scipy/scipy/pull/19045>`__: MAINT: Change
\`add_newdoc\` import and remove \`NINF\`
* `#19047 <https://github.com/scipy/scipy/pull/19047>`__: Corrected a
grammatical error in the docstring of class DOP853
* `#19050 <https://github.com/scipy/scipy/pull/19050>`__: CI/BLD: make
nightly wheels daily closes #19048
* `#19051 <https://github.com/scipy/scipy/pull/19051>`__: ENH: array
agnostic \`cov\`, used in \`cluster\`
* `#19052 <https://github.com/scipy/scipy/pull/19052>`__: BENCH: update
asv, fail benchmark CI on errors, fix fallout
* `#19053 <https://github.com/scipy/scipy/pull/19053>`__: CI: cirrus mods
* `#19055 <https://github.com/scipy/scipy/pull/19055>`__: MAINT: use
\`copy\` utility from #19014 in \`cluster\`
* `#19057 <https://github.com/scipy/scipy/pull/19057>`__: ENH: add
computing a selected number m of extreme eigenpairs...
* `#19060 <https://github.com/scipy/scipy/pull/19060>`__: MAINT: port
minpack2.dcsrch from Fortran to Python, remove Fortran...
* `#19061 <https://github.com/scipy/scipy/pull/19061>`__: DOC: spell NaN ->
nan
* `#19062 <https://github.com/scipy/scipy/pull/19062>`__: BLD: Replace
complex occurences with singlecomplex in SuperLU
* `#19064 <https://github.com/scipy/scipy/pull/19064>`__: TST: bump
tolerance of \`TestTruncexpon.test_is_isf\` a little
* `#19066 <https://github.com/scipy/scipy/pull/19066>`__: Update dfovec.py
case 20 for zero indexing
* `#19067 <https://github.com/scipy/scipy/pull/19067>`__: DEP: remove all
deprecated \`scipy.<numpy-func>\` objects
* `#19070 <https://github.com/scipy/scipy/pull/19070>`__: DEP: odr:
improved deprecation of private modules
* `#19073 <https://github.com/scipy/scipy/pull/19073>`__: DOC: remove
reference to no longer imported numpy funcs
* `#19074 <https://github.com/scipy/scipy/pull/19074>`__: TST: add
regression test for sqrtm unexpectedly converting to...
* `#19078 <https://github.com/scipy/scipy/pull/19078>`__: ENH: Reflect
changes from numpy namespace refactor part 3
* `#19081 <https://github.com/scipy/scipy/pull/19081>`__: ENH: optimize: c1
and c2 of scalar_search_wolfe to cg and newton-cg
* `#19083 <https://github.com/scipy/scipy/pull/19083>`__: MAINT: forward
port 1.11.2 relnotes
* `#19086 <https://github.com/scipy/scipy/pull/19086>`__: BLD: tweaks to
build dependencies and 3.12 classifier in pyproject.toml
* `#19087 <https://github.com/scipy/scipy/pull/19087>`__: DOC: add info
about usage of ccache for benchmarks
* `#19089 <https://github.com/scipy/scipy/pull/19089>`__: DOC: add comment
on args in solve_ivp (#18876)
* `#19091 <https://github.com/scipy/scipy/pull/19091>`__: MAINT:
optimize.root_scalar: handle args when method is newton...
* `#19093 <https://github.com/scipy/scipy/pull/19093>`__: MAINT:
stats.zscore: return correct result when 0th element is...
* `#19094 <https://github.com/scipy/scipy/pull/19094>`__: BUG: optimize:
update incorrect c1 value
* `#19095 <https://github.com/scipy/scipy/pull/19095>`__: ENH: optimize:
add inv Hess estimate in BFGS
* `#19100 <https://github.com/scipy/scipy/pull/19100>`__: MAINT: Move
\`trapezoid\` implementation to SciPy
* `#19104 <https://github.com/scipy/scipy/pull/19104>`__: MAINT: fix the CT
subclass benchmark
* `#19110 <https://github.com/scipy/scipy/pull/19110>`__: MAINT: Remove
usages of np.row_stack and np.in1d
* `#19113 <https://github.com/scipy/scipy/pull/19113>`__: MAINT, TST:
default_rng few tests
* `#19115 <https://github.com/scipy/scipy/pull/19115>`__: ENH, TST: Use
explicit imports in docstring examples
* `#19127 <https://github.com/scipy/scipy/pull/19127>`__: DOC: linalg: fix
typos in pinv docs
* `#19128 <https://github.com/scipy/scipy/pull/19128>`__: ENH: optimize:
add method attribute to result object from root_scalar...
* `#19129 <https://github.com/scipy/scipy/pull/19129>`__: DOC:Added
Examples To \`combine_pvalues\` and \`fhtoffset\`
* `#19136 <https://github.com/scipy/scipy/pull/19136>`__: MAINT: remove
NumPy infty alias
* `#19141 <https://github.com/scipy/scipy/pull/19141>`__: MAINT: more NumPy
API shims
* `#19143 <https://github.com/scipy/scipy/pull/19143>`__: MAINT: remove
asfarray usage
* `#19146 <https://github.com/scipy/scipy/pull/19146>`__: DOC:
sparse.linalg: Enhance lobpcg documentation with updated...
* `#19152 <https://github.com/scipy/scipy/pull/19152>`__: DOC: fix
predeces(s)or typo.
* `#19157 <https://github.com/scipy/scipy/pull/19157>`__: TST: add
array-agnostic assertions
* `#19162 <https://github.com/scipy/scipy/pull/19162>`__: ENH: Allow
\`sparse_mtx.transpose(axes=(1, 0))\`
* `#19165 <https://github.com/scipy/scipy/pull/19165>`__: DEP: improve
deprecation warnings for constants module
* `#19166 <https://github.com/scipy/scipy/pull/19166>`__: MAINT: Reflect
changes from \`numpy\` namespace refactor Part...
* `#19168 <https://github.com/scipy/scipy/pull/19168>`__: BLD: special: fix
dependencies for \`_ellip_harm_2\`
* `#19170 <https://github.com/scipy/scipy/pull/19170>`__: MAINT: fix a
number of issues in Cython code
* `#19171 <https://github.com/scipy/scipy/pull/19171>`__: ENH: constructors
for sparse arrays
* `#19172 <https://github.com/scipy/scipy/pull/19172>`__: MAINT: Spherical
Voronoi sort simplify
* `#19173 <https://github.com/scipy/scipy/pull/19173>`__: MAINT:
integrate._tanhsinh: improvements after further testing
* `#19175 <https://github.com/scipy/scipy/pull/19175>`__: DOC: stats:
Correct levy_stable loc-scale note
* `#19178 <https://github.com/scipy/scipy/pull/19178>`__: MAINT/DOC: add
\`fit\` to multivariate normal methods in documentation
* `#19179 <https://github.com/scipy/scipy/pull/19179>`__: DOC: Added
example for tf2zpk function
* `#19183 <https://github.com/scipy/scipy/pull/19183>`__: MAINT: Import
\`fromarrays\` from \`rec\`
* `#19184 <https://github.com/scipy/scipy/pull/19184>`__: TST: fix sparse
constructor test with large memory footprint
* `#19186 <https://github.com/scipy/scipy/pull/19186>`__: TST: _lib:
improve array API assertions
* `#19187 <https://github.com/scipy/scipy/pull/19187>`__: BUG: accept
\`np\`-coercible array-likes with array API flag...
* `#19191 <https://github.com/scipy/scipy/pull/19191>`__: BLD: update
minimum versions of meson-python and pythran
* `#19192 <https://github.com/scipy/scipy/pull/19192>`__: TST: test
tolerance bumps to fix reported failures
* `#19194 <https://github.com/scipy/scipy/pull/19194>`__: BUG/TST: fix
\`test_array_api\` for \`cupy\`
* `#19195 <https://github.com/scipy/scipy/pull/19195>`__: DOC: Fixed typo
in scipy.stats.Covariance
* `#19198 <https://github.com/scipy/scipy/pull/19198>`__: DOC:
optimize.minimize_scalar: note limitations and suggest alternatives
* `#19201 <https://github.com/scipy/scipy/pull/19201>`__: DOC: missing
backticks
* `#19202 <https://github.com/scipy/scipy/pull/19202>`__: DOC: remove old
mention to Python 2.
* `#19203 <https://github.com/scipy/scipy/pull/19203>`__: DOC: Fix
_nan_allsame example prompt.
* `#19204 <https://github.com/scipy/scipy/pull/19204>`__: DOC: missing (and
stray) backtick in mannwhitneyu
* `#19206 <https://github.com/scipy/scipy/pull/19206>`__: TST, MAINT: skip
fix for array API tests
* `#19217 <https://github.com/scipy/scipy/pull/19217>`__: BLD: start
building wheels against numpy 2.0 [wheel build]
* `#19218 <https://github.com/scipy/scipy/pull/19218>`__: DOC: Added
examples for zpk2tf, tf2sos, sos2tf, lp2lp_zpk, lp2hp_zpk,...
* `#19219 <https://github.com/scipy/scipy/pull/19219>`__: ENH: Implemented
custom mutation / crossover functions for DifferentialEvolution
* `#19222 <https://github.com/scipy/scipy/pull/19222>`__: DOC: clarify
guidance on style modifications
* `#19224 <https://github.com/scipy/scipy/pull/19224>`__: BUG: integrate:
expose ODEintWarning
* `#19226 <https://github.com/scipy/scipy/pull/19226>`__: DEP: improve
message for deprecated private API for \`sparse\`
* `#19227 <https://github.com/scipy/scipy/pull/19227>`__: DOC: Trailing
character after closing backquote.
* `#19229 <https://github.com/scipy/scipy/pull/19229>`__: DOC: Fix repeated
typos in dev.py
* `#19233 <https://github.com/scipy/scipy/pull/19233>`__: DOC: Fix
character after trailing backticks
* `#19236 <https://github.com/scipy/scipy/pull/19236>`__: BUG: Remove
removed item from \`__all__\`
* `#19237 <https://github.com/scipy/scipy/pull/19237>`__: DOC: Missing
import in private _nan_allsame function docs.
* `#19240 <https://github.com/scipy/scipy/pull/19240>`__: DEP: spatial:
improve deprecation of private modules without...
* `#19243 <https://github.com/scipy/scipy/pull/19243>`__: DOC: stats: fix
documentation of warnings raised by pearsonr
* `#19244 <https://github.com/scipy/scipy/pull/19244>`__: MAINT: scipy.io
NEP 50 shims
* `#19247 <https://github.com/scipy/scipy/pull/19247>`__: MAINT: NumPy
version check removals
* `#19251 <https://github.com/scipy/scipy/pull/19251>`__: TST/MAINT:
cluster: use new array API assertions
* `#19253 <https://github.com/scipy/scipy/pull/19253>`__: MAINT: Cleanup
expired ndarray methods
* `#19256 <https://github.com/scipy/scipy/pull/19256>`__: DOC: Added
examples for correlation, num_obs_dm, num_obs_y functions.
* `#19259 <https://github.com/scipy/scipy/pull/19259>`__: DOC: outline
workaround when precision losses occur in BFGS [skip...
* `#19261 <https://github.com/scipy/scipy/pull/19261>`__: MAINT: fft:
refactor basic backend with \`_execute_1D\`
* `#19262 <https://github.com/scipy/scipy/pull/19262>`__: MAINT: fft: clean
up test-skips
* `#19263 <https://github.com/scipy/scipy/pull/19263>`__: ENH: fft: GPU
support for non-standard basic transforms
* `#19264 <https://github.com/scipy/scipy/pull/19264>`__: MAINT/TST: fft:
remove duplicate namespace and dtype checks
* `#19265 <https://github.com/scipy/scipy/pull/19265>`__: MAINT: array API:
rename \`arg_err_msg\` and move to \`_lib\`
* `#19266 <https://github.com/scipy/scipy/pull/19266>`__: ENH: use inplace
add in _minimize_newtoncg
* `#19267 <https://github.com/scipy/scipy/pull/19267>`__: MAINT: use
linalg.norm in \`_minimize_newtoncg\`
* `#19270 <https://github.com/scipy/scipy/pull/19270>`__: MAINT: fix
-Wdeprecated-non-prototype warnings in Cephes code
* `#19271 <https://github.com/scipy/scipy/pull/19271>`__: DOC: add example
for \`ndimage.shift\`
* `#19275 <https://github.com/scipy/scipy/pull/19275>`__: MAINT: Add
warning filter for \`numpy.core\` rename
* `#19278 <https://github.com/scipy/scipy/pull/19278>`__: DOC: use
\`np.copysign()\` instead of \`np.sign()\`
* `#19281 <https://github.com/scipy/scipy/pull/19281>`__: DOC: add \`fft\`
to list of array API supporting modules
* `#19282 <https://github.com/scipy/scipy/pull/19282>`__: MAINT: fft: clean
up assertions
* `#19284 <https://github.com/scipy/scipy/pull/19284>`__: ENH: update
SuperLU to version 6.0.1
* `#19285 <https://github.com/scipy/scipy/pull/19285>`__: MAINT fix more
\`-Wdeprecate-non-prototype\` warnings
* `#19287 <https://github.com/scipy/scipy/pull/19287>`__: ENH: add
exact=False support for stirling2
* `#19289 <https://github.com/scipy/scipy/pull/19289>`__: BLD: stats:
improve build config for \`unuran_wrapper\`
* `#19293 <https://github.com/scipy/scipy/pull/19293>`__: MAINT:
optimize._bracket_root: refactor and comment for clarity
* `#19294 <https://github.com/scipy/scipy/pull/19294>`__: MAINT: replace
IOError alias with OSError
* `#19295 <https://github.com/scipy/scipy/pull/19295>`__: DOC: fix typos
found by codespell
* `#19296 <https://github.com/scipy/scipy/pull/19296>`__: MAINT: fix linter
issues
* `#19298 <https://github.com/scipy/scipy/pull/19298>`__: MAINT: replace
io.open alias with built-in open
* `#19302 <https://github.com/scipy/scipy/pull/19302>`__: MAINT:
Fix/parametrize Rotation tests.
* `#19304 <https://github.com/scipy/scipy/pull/19304>`__: DOC: fix page
typo in ks_2samp reference
* `#19310 <https://github.com/scipy/scipy/pull/19310>`__: MAINT: Remove
\`np.int_\` and \`np.uint\`
* `#19311 <https://github.com/scipy/scipy/pull/19311>`__: DOC: invalid
interpreted-text (missing space after closing backtick).
* `#19312 <https://github.com/scipy/scipy/pull/19312>`__: DOC: Misc
formatting error.
* `#19313 <https://github.com/scipy/scipy/pull/19313>`__: DOC: And new line
at end of line in CPP code.
* `#19314 <https://github.com/scipy/scipy/pull/19314>`__: DOC: Rst don't
like list without blanklines.
* `#19315 <https://github.com/scipy/scipy/pull/19315>`__: MAINT: forward
port 1.11.3 relnotes
* `#19317 <https://github.com/scipy/scipy/pull/19317>`__: MAINT: remove
support for building with setup.py
* `#19327 <https://github.com/scipy/scipy/pull/19327>`__: ENH: Add a
numerically stable logpdf function for the skewnorm...
* `#19331 <https://github.com/scipy/scipy/pull/19331>`__: MAINT, BLD: more
setup.py cleanups
* `#19333 <https://github.com/scipy/scipy/pull/19333>`__: ENH: Fit
skewnorms with MLE more robustly
* `#19340 <https://github.com/scipy/scipy/pull/19340>`__: DEP: deprecate
scipy.signal wavelets
* `#19341 <https://github.com/scipy/scipy/pull/19341>`__: MAINT: Remove
remaining \`numpy.int_\` and filter \`np.long\`...
* `#19346 <https://github.com/scipy/scipy/pull/19346>`__: MAINT: stats: fix
\`differential_entropy\` too small error behavior
* `#19347 <https://github.com/scipy/scipy/pull/19347>`__: BUG: fix
ValueError in stats.truncpareto
* `#19349 <https://github.com/scipy/scipy/pull/19349>`__: MAINT: Minor fix
to shim import of scipy.signal.
* `#19350 <https://github.com/scipy/scipy/pull/19350>`__: ENH: stats: add
support for masked arrays, \`nan_policy\`, and...
* `#19358 <https://github.com/scipy/scipy/pull/19358>`__: TST:
SphericalVoronoi region type
* `#19360 <https://github.com/scipy/scipy/pull/19360>`__: BLD, MAINT: more
build system cleanups
* `#19367 <https://github.com/scipy/scipy/pull/19367>`__: CI: avoid using
Cython 3.0.3
* `#19371 <https://github.com/scipy/scipy/pull/19371>`__: ENH:
stats.ansari: add axis / nan_policy / keepdims support
* `#19376 <https://github.com/scipy/scipy/pull/19376>`__: TST: bump
tolerance of \`test_al_mohy_higham_2012_experiment_1\`
* `#19380 <https://github.com/scipy/scipy/pull/19380>`__: DEV/CI: use
scipy-openblas32 wheels in dev.py and some CI jobs
* `#19385 <https://github.com/scipy/scipy/pull/19385>`__: ENH: beta
negative binomial distribution
* `#19390 <https://github.com/scipy/scipy/pull/19390>`__: DOC, MAINT: more
distutils/build cleanups
* `#19391 <https://github.com/scipy/scipy/pull/19391>`__: MAINT: spatial:
Change error message in KDTree to be more informative.
* `#19392 <https://github.com/scipy/scipy/pull/19392>`__: ENH:
stats.bartlett: add axis / nan_policy / keepdims support
* `#19394 <https://github.com/scipy/scipy/pull/19394>`__: MAINT: Partially
revert \`np.int_\` changes
* `#19395 <https://github.com/scipy/scipy/pull/19395>`__: DEP: ndimage:
improve the deprecation of private modules named...
* `#19399 <https://github.com/scipy/scipy/pull/19399>`__: TST: signal: add
missing assertion in test_filter_design.py
* `#19402 <https://github.com/scipy/scipy/pull/19402>`__: MAINT: l-bfgs-b
remove intermediate bounds array
* `#19409 <https://github.com/scipy/scipy/pull/19409>`__: MAINT: fix a C++
build error with GCC 13
* `#19410 <https://github.com/scipy/scipy/pull/19410>`__: DOC: interpolate:
add note to BarycentricInterpolator.add_xi
* `#19412 <https://github.com/scipy/scipy/pull/19412>`__: ENH: stats: add
support for masked arrays for circular statistics...
* `#19414 <https://github.com/scipy/scipy/pull/19414>`__: BLD:
with-scipy-openblas instead of use-scipy-openblas
* `#19419 <https://github.com/scipy/scipy/pull/19419>`__: ENH:
SphericalVoronoi sort faster
* `#19422 <https://github.com/scipy/scipy/pull/19422>`__: DOC: Fix trivial
typo.
* `#19425 <https://github.com/scipy/scipy/pull/19425>`__: ENH: stats: add
masked array, axis tuple, and nan policy support...
* `#19426 <https://github.com/scipy/scipy/pull/19426>`__: MAINT: Update
\`fft.helper\` import
* `#19428 <https://github.com/scipy/scipy/pull/19428>`__: ENH:
stats.levene/fligner: add axis / nan_policy / keepdims support
* `#19429 <https://github.com/scipy/scipy/pull/19429>`__: DOC: Fix
documentation of callback function signature of scipy.optimize.minimize
* `#19431 <https://github.com/scipy/scipy/pull/19431>`__: MAINT: more NEP
50 shims
* `#19433 <https://github.com/scipy/scipy/pull/19433>`__: DOC: Add example
for \`stats.hdquantiles\`
* `#19435 <https://github.com/scipy/scipy/pull/19435>`__: MAINT: Translate
lambertw_scalar into C++
* `#19439 <https://github.com/scipy/scipy/pull/19439>`__: BLD: update build
dependency versions in pyproject.toml
* `#19440 <https://github.com/scipy/scipy/pull/19440>`__: DOC: remove
unused parameter in spline_filter docstring
* `#19443 <https://github.com/scipy/scipy/pull/19443>`__: TST: Fix #19442
minimally
* `#19445 <https://github.com/scipy/scipy/pull/19445>`__: TST: Remove some
unnecessary tuple conversions
* `#19449 <https://github.com/scipy/scipy/pull/19449>`__: DOC/MAINT: fft:
fix signature for next_fast_len
* `#19453 <https://github.com/scipy/scipy/pull/19453>`__: Added parenthesis
for accurate calculation of frequencies w when...
* `#19458 <https://github.com/scipy/scipy/pull/19458>`__: DOC: spatial:
Rotation docs updates
* `#19461 <https://github.com/scipy/scipy/pull/19461>`__: DOC: dev: update
max line length to 88 characters
* `#19465 <https://github.com/scipy/scipy/pull/19465>`__: DOC: fix broken
NetCDF URL
* `#19466 <https://github.com/scipy/scipy/pull/19466>`__: MAINT: NumPy int
type shims
* `#19469 <https://github.com/scipy/scipy/pull/19469>`__: DEP: special:
improve deprecation of private modules named without...
* `#19471 <https://github.com/scipy/scipy/pull/19471>`__: MAINT: Translate
binom to C++
* `#19472 <https://github.com/scipy/scipy/pull/19472>`__: MAINT: Update
fast_matrix_market to 1.7.4
* `#19482 <https://github.com/scipy/scipy/pull/19482>`__: MAINT: Make use
of sf_error conditional on flag in scipy::special...
* `#19483 <https://github.com/scipy/scipy/pull/19483>`__: ENH: add max dist
to NearestNDInterpolator
* `#19484 <https://github.com/scipy/scipy/pull/19484>`__: CI: limit
scipy-openblas32 wheel to 0.3.23.293.2
* `#19487 <https://github.com/scipy/scipy/pull/19487>`__: ENH:
stats.cramervonmises/epps_singleton: add axis / nan_policy...
* `#19489 <https://github.com/scipy/scipy/pull/19489>`__: MAINT: lint:
ignore E501 (line length) by subpackage
* `#19491 <https://github.com/scipy/scipy/pull/19491>`__: MAINT/STY: misc:
remove E501 (line length) lint ignore
* `#19494 <https://github.com/scipy/scipy/pull/19494>`__: MAINT/STY:
\`conftest.py\`: remove E501 (line length) lint ignore
* `#19495 <https://github.com/scipy/scipy/pull/19495>`__: MAINT: get rid of
Python 2 left-overs
* `#19497 <https://github.com/scipy/scipy/pull/19497>`__: CI: add '[lint
only]', '[docs only]' skip tags
* `#19501 <https://github.com/scipy/scipy/pull/19501>`__: TST: skip
test_bootstrap_against_theory
* `#19503 <https://github.com/scipy/scipy/pull/19503>`__: MAINT/STY:
fftpack: remove E501 (line length) lint ignore
* `#19505 <https://github.com/scipy/scipy/pull/19505>`__: MAINT/STY:
\`scipyoptdoc.py\`: remove E501 (line length) lint...
* `#19506 <https://github.com/scipy/scipy/pull/19506>`__: MAINT: sparse:
update tests to switch to format and toarray from...
* `#19507 <https://github.com/scipy/scipy/pull/19507>`__: MAINT/DOC: stats:
fix lint errors
* `#19508 <https://github.com/scipy/scipy/pull/19508>`__: MAINT/DOC/BENCH:
optimize: fix linter errors
* `#19509 <https://github.com/scipy/scipy/pull/19509>`__: MAINT: fix
remaining lint errors
* `#19510 <https://github.com/scipy/scipy/pull/19510>`__: DEP: integrate:
deprecate romberg and quadrature
* `#19514 <https://github.com/scipy/scipy/pull/19514>`__: MAINT/STY: odr:
remove E501 (line length) lint ignore
* `#19515 <https://github.com/scipy/scipy/pull/19515>`__: MAINT:
Restructure extra_special (working name) as internal library
* `#19516 <https://github.com/scipy/scipy/pull/19516>`__: MAINT: lint:
enable UP rules
* `#19519 <https://github.com/scipy/scipy/pull/19519>`__: DOC: Fix example
used in stats tutorial
* `#19520 <https://github.com/scipy/scipy/pull/19520>`__: MAINT/STY: fft:
remove E501 (line length) lint ignore, \`noqa\`...
* `#19523 <https://github.com/scipy/scipy/pull/19523>`__: MAINT/STY:
constants: remove E501 (line length) lint ignore
* `#19525 <https://github.com/scipy/scipy/pull/19525>`__: DOC, CI: refguide
may vary locs
* `#19527 <https://github.com/scipy/scipy/pull/19527>`__: DOC, MAINT: more
refguide fixes
* `#19529 <https://github.com/scipy/scipy/pull/19529>`__: MAINT: blanket
\`noqa\` vet
* `#19533 <https://github.com/scipy/scipy/pull/19533>`__: DOC: fix more
typos found by codespell
* `#19534 <https://github.com/scipy/scipy/pull/19534>`__: MAINT: get rid of
more Python 2 left-overs
* `#19540 <https://github.com/scipy/scipy/pull/19540>`__: DOC:
_binomtest.py: Add clearer error messages
* `#19546 <https://github.com/scipy/scipy/pull/19546>`__: MAINT: Fix
interpolate.make_smoothing_spline's size validation...
* `#19556 <https://github.com/scipy/scipy/pull/19556>`__: DOC: revert part
of bcbb18f / #19533
* `#19558 <https://github.com/scipy/scipy/pull/19558>`__: MAINT: forward
port 1.11.4 relnotes
* `#19562 <https://github.com/scipy/scipy/pull/19562>`__: MAINT: Fix typos
in Rotation.from_mrp referenced paper
* `#19564 <https://github.com/scipy/scipy/pull/19564>`__: MAINT: Mark in
\`.gitignore\` the directories instead of their...
* `#19570 <https://github.com/scipy/scipy/pull/19570>`__: DOC: Fixed build
instructions in index.rst (#19568)
* `#19574 <https://github.com/scipy/scipy/pull/19574>`__: DOC: update
Building from source docs for editable installs
* `#19576 <https://github.com/scipy/scipy/pull/19576>`__: BUG: Use uint32
for cost in NI_WatershedElement
* `#19578 <https://github.com/scipy/scipy/pull/19578>`__: BUG:
stats._axis_nan_policy_factory: respect too_small when detecting...
* `#19579 <https://github.com/scipy/scipy/pull/19579>`__: BLD:MAINT:Update
dev.py message
* `#19581 <https://github.com/scipy/scipy/pull/19581>`__: BUG:
interpolate/ndbspline: fix OOB access for len(tx) != len(ty)...
* `#19583 <https://github.com/scipy/scipy/pull/19583>`__: ENH: Use
\`np.dot\` to speedup \`spatial.distance.correlation\`
* `#19585 <https://github.com/scipy/scipy/pull/19585>`__: DEP: improve
deprecation of remaining private modules named without...
* `#19588 <https://github.com/scipy/scipy/pull/19588>`__: BLD:Add missing
cstdin include in fast matrix market
* `#19589 <https://github.com/scipy/scipy/pull/19589>`__: ENH: Use
\`np.dot\` to speedup \`spatial.distance.hamming\`
* `#19590 <https://github.com/scipy/scipy/pull/19590>`__: MAINT:special:Add
more noexcept to Cython signatures
* `#19591 <https://github.com/scipy/scipy/pull/19591>`__: MAINT:
interpolate/RGI: avoid unnecessary validation of data...
* `#19593 <https://github.com/scipy/scipy/pull/19593>`__: Returning
NotImplemented in comparisons with sparse arrays
* `#19597 <https://github.com/scipy/scipy/pull/19597>`__: TST:
special._sinpi/_cospi: skip failing \`test_intermediate_overflow\`
* `#19600 <https://github.com/scipy/scipy/pull/19600>`__: Fix sparse
multiply
* `#19601 <https://github.com/scipy/scipy/pull/19601>`__: ENH: Make special
C++ implementations work on CUDA (and beyond!)
* `#19603 <https://github.com/scipy/scipy/pull/19603>`__: DOC: doc shim for
eig normalization
* `#19604 <https://github.com/scipy/scipy/pull/19604>`__: BUG: fix overflow
in stats.boxcox_normmax when method='mle'
* `#19606 <https://github.com/scipy/scipy/pull/19606>`__: MAINT: array
types: restrict to boolean & numerical dtypes
* `#19608 <https://github.com/scipy/scipy/pull/19608>`__: MAINT/DOC:
refguide-check fixes
* `#19609 <https://github.com/scipy/scipy/pull/19609>`__: MAINT: lint:
enable line-length check (package-wide)
* `#19611 <https://github.com/scipy/scipy/pull/19611>`__: DOC: clarify
interpolator termionolgy
* `#19613 <https://github.com/scipy/scipy/pull/19613>`__: MAINT: Added
clang-format formatting for special C++ files
* `#19617 <https://github.com/scipy/scipy/pull/19617>`__: fix numerical
stability
* `#19618 <https://github.com/scipy/scipy/pull/19618>`__: MAINT: qmc
permutations win type
* `#19622 <https://github.com/scipy/scipy/pull/19622>`__: CI: undo
cython==0.29.35 pin for the 32-bit Linux job, remove...
* `#19623 <https://github.com/scipy/scipy/pull/19623>`__: MAINT: lint:
enable \`stacklevel\` warnings check
* `#19624 <https://github.com/scipy/scipy/pull/19624>`__: MAINT/TST: _lib:
use value instead of deprecated s
* `#19626 <https://github.com/scipy/scipy/pull/19626>`__: MAINT: more SciPy
windows int shims
* `#19628 <https://github.com/scipy/scipy/pull/19628>`__: DOC: 1.12.0
release notes
* `#19635 <https://github.com/scipy/scipy/pull/19635>`__: MAINT: simplify
Nakagami mean calculation
* `#19637 <https://github.com/scipy/scipy/pull/19637>`__: DOC: Clarify
integration error bound in \`integrate\` tutorial
* `#19648 <https://github.com/scipy/scipy/pull/19648>`__: MAINT: simplify
chi distribution mean calculation
* `#19651 <https://github.com/scipy/scipy/pull/19651>`__: MAINT:
stats.entropy: silence mypy
* `#19656 <https://github.com/scipy/scipy/pull/19656>`__: BUG: Remove
unnecessary incref on unrelated type
* `#19658 <https://github.com/scipy/scipy/pull/19658>`__: MAINT: git blame
ignores for lint clean-ups
* `#19660 <https://github.com/scipy/scipy/pull/19660>`__: STY: special: use
indent width of 4 in clang-format
* `#19661 <https://github.com/scipy/scipy/pull/19661>`__: CI: fix
pre-release job by correct version pin for scipy-openblas32
* `#19670 <https://github.com/scipy/scipy/pull/19670>`__: MAINT: version
bounds for 1.12.0rc1
* `#19677 <https://github.com/scipy/scipy/pull/19677>`__: DOC: array types:
mention partial support in \`special\`
* `#19686 <https://github.com/scipy/scipy/pull/19686>`__: TST: fix
incorrect signal.sosfilt tests
* `#19690 <https://github.com/scipy/scipy/pull/19690>`__: BLD: avoid
fast-math for oneAPI compilers, fix up handling of...
* `#19691 <https://github.com/scipy/scipy/pull/19691>`__: BUG: fix negative
overflow in stats.boxcox_normmax
* `#19693 <https://github.com/scipy/scipy/pull/19693>`__: BUG: Prevent
mutation of \`w\` parameter in \`spatial.distance.\*\`
* `#19702 <https://github.com/scipy/scipy/pull/19702>`__: DEP: Adopt
\`\*tol\` deprecations also for \`gcrotmk/lgmres/minres/tfqmr\`
* `#19709 <https://github.com/scipy/scipy/pull/19709>`__: MAINT: Cumulative
simpson follow-up comments
* `#19735 <https://github.com/scipy/scipy/pull/19735>`__: DOC: update
release notes with all deprecations for 1.12 release
* `#19748 <https://github.com/scipy/scipy/pull/19748>`__: TST: skip
RGI(..., method="pchip" for complex values)
* `#19751 <https://github.com/scipy/scipy/pull/19751>`__: BUG: Make FMM
classes \`py::module_local\` (fix for 1.12RC)
* `#19761 <https://github.com/scipy/scipy/pull/19761>`__: MAINT: Avoid use
of aligned_alloc in pocketfft on windows
* `#19779 <https://github.com/scipy/scipy/pull/19779>`__: BUG: Fix
\`nbinom.logcdf\` for invalid input
* `#19785 <https://github.com/scipy/scipy/pull/19785>`__: BUG: support
sparse Hessian in \`Newton-CG\`
* `#19797 <https://github.com/scipy/scipy/pull/19797>`__: MAINT: 1.12.0rc2
prep
* `#19800 <https://github.com/scipy/scipy/pull/19800>`__: TST: loosen
tolerances for tests that fail otherwise on windows+MKL
* `#19806 <https://github.com/scipy/scipy/pull/19806>`__: TST: fix
compatibility with pytest 8
* `#19830 <https://github.com/scipy/scipy/pull/19830>`__: REL: bump
copyright to 2024
* `#19842 <https://github.com/scipy/scipy/pull/19842>`__: TST: move
reference data for test_real_transforms to a fixture
* `#19859 <https://github.com/scipy/scipy/pull/19859>`__: BLD: improve
scipy-openblas dependency check
* `#19877 <https://github.com/scipy/scipy/pull/19877>`__: DOC: 1.12 release
notes tweaks
* `#19881 <https://github.com/scipy/scipy/pull/19881>`__: Revert "ENH:
stats.wasserstein_distance: multivariate Wasserstein...
* `#19892 <https://github.com/scipy/scipy/pull/19892>`__: DEP: extend some
announced deprecations due to out-of-band 1.13...
* `#19903 <https://github.com/scipy/scipy/pull/19903>`__: DEP: reflect
extended deprecations also in release notes
* `#19910 <https://github.com/scipy/scipy/pull/19910>`__: BLD: ensure the
name of the installed \`scipy\` package is lower-case
Checksums
=========
MD5
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[View Less]
1
0
Hello all,
I'm glad to announce the release of psutil 5.9.8:
https://github.com/giampaolo/psutil
About
=====
psutil (process and system utilities) is a cross-platform library for
retrieving information on running processes and system utilization (CPU,
memory, disks, network) in Python. It is useful mainly for system
monitoring, profiling and limiting process resources and management of
running processes. It implements many functionalities offered by command
line tools such as: ps, top, lsof, …
[View More]netstat, ifconfig, who, df, kill, free,
nice, ionice, iostat, iotop, uptime, pidof, tty, taskset, pmap. It
currently supports Linux, Windows, macOS, Sun Solaris, FreeBSD, OpenBSD,
NetBSD and AIX, both 32-bit and 64-bit architectures. Supported Python
versions are 2.7 and 3.6+. PyPy is also known to work.
What's new
==========
2024-01-19
**Enhancements**
- #2343, [FreeBSD]: filter `net_connections()`_ returned list in C instead
of
Python, and avoid to retrieve unnecessary connection types unless
explicitly
asked. E.g., on an IDLE system with few IPv6 connections this will run
around
4 times faster. Before all connection types (TCP, UDP, UNIX) were
retrieved
internally, even if only a portion was returned.
- #2342, [NetBSD]: same as above (#2343) but for NetBSD.
- #2349: adopted black formatting style.
**Bug fixes**
- #930, [NetBSD], [critical]: `net_connections()`_ implementation was
broken.
It could either leak memory or core dump.
- #2340, [NetBSD]: if process is terminated, `Process.cwd()`_ will return an
empty string instead of raising `NoSuchProcess`_.
- #2345, [Linux]: fix compilation on older compiler missing DUPLEX_UNKNOWN.
- #2222, [macOS]: `cpu_freq()` now returns fixed values for `min` and `max`
frequencies in all Apple Silicon chips.
Links
=====
- Home page: https://github.com/giampaolo/psutil
- Download: https://pypi.org/project/psutil/#files
- Documentation: http://psutil.readthedocs.io
- What's new: https://github.com/giampaolo/psutil/blob/master/HISTORY.rst
Hashes
======
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sha256: bd1184ceb3f87651a67b2708d4c3338e9b10c5df903f2e3776b62303b26cb631
psutil-5.9.8-cp36-abi3-macosx_10_9_x86_64.whl
md5: a5c0d335a87bf602ccefc4a6e732ced3
sha256: aee678c8720623dc456fa20659af736241f575d79429a0e5e9cf88ae0605cc81
psutil-5.9.8-cp36-abi3-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl
md5: 0717beb6e38527d7405b6b4f5acd4af6
sha256: 8cb6403ce6d8e047495a701dc7c5bd788add903f8986d523e3e20b98b733e421
psutil-5.9.8-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
md5: 1d842bcb0117f9763ceb65599d2c99ec
sha256: d06016f7f8625a1825ba3732081d77c94589dca78b7a3fc072194851e88461a4
psutil-5.9.8-cp36-cp36m-win32.whl
md5: 63bd1a2c6a1cadfa4bf0011f5043bfaf
sha256: 7d79560ad97af658a0f6adfef8b834b53f64746d45b403f225b85c5c2c140eee
psutil-5.9.8-cp36-cp36m-win_amd64.whl
md5: f3fc3e64a8f7a21a6085ff972b657fdb
sha256: 27cc40c3493bb10de1be4b3f07cae4c010ce715290a5be22b98493509c6299e2
psutil-5.9.8-cp37-abi3-win32.whl
md5: 8213ea54e768590df7d1b31d694f4a56
sha256: bc56c2a1b0d15aa3eaa5a60c9f3f8e3e565303b465dbf57a1b730e7a2b9844e0
psutil-5.9.8-cp37-abi3-win_amd64.whl
md5: 0bda23be14ac996dfee1d230a289ed1a
sha256: 8db4c1b57507eef143a15a6884ca10f7c73876cdf5d51e713151c1236a0e68cf
psutil-5.9.8-cp38-abi3-macosx_11_0_arm64.whl
md5: 1cc288f0c51345398b9b4863463d86b0
sha256: d16bbddf0693323b8c6123dd804100241da461e41d6e332fb0ba6058f630f8c8
psutil-5.9.8.tar.gz
md5: 7bb9d4378bd451765b705946a3541393
sha256: 6be126e3225486dff286a8fb9a06246a5253f4c7c53b475ea5f5ac934e64194c
--
Giampaolo - https://gmpy.dev/about
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Vulture - Find dead code
========================
Vulture finds unused code in Python programs. This is useful for
cleaning up and finding errors in large code bases. If you run Vulture
on both your library and test suite you can find untested code.
Due to Python's dynamic nature, static code analyzers like Vulture are
likely to miss some dead code. Also, code that is only called
implicitly may be reported as unused. Nonetheless, Vulture can be a
very helpful tool for higher code quality.
…
[View More]Download
========
https://github.com/jendrikseipp/vulture
http://pypi.python.org/pypi/vulture
Features
========
* fast: uses static code analysis
* tested: tests itself and has complete test coverage
* complements pyflakes and has the same output syntax
* sorts unused classes and functions by size with `--sort-by-size`
News
====
* Switch to tomllib/tomli to support heterogeneous arrays (Sebastian
Csar, #340 <https://github.com/jendrikseipp/vulture/pull/340>).
* Bump flake8, flake8-comprehensions and flake8-bugbear (Sebastian
Csar, #341 <https://github.com/jendrikseipp/vulture/pull/341>).
* Provide whitelist parity for |MagicMock| and |Mock| (maxrake, #342
<https://github.com/jendrikseipp/vulture/pull/342>).
Cheers,
Jendrik
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pytest-8.0.0rc2
=======================================
The pytest team is proud to announce the 8.0.0rc2 prerelease!
This is a prerelease, not intended for production use, but to test the upcoming features and improvements
in order to catch any major problems before the final version is released to the major public.
We appreciate your help testing this out before the final release, making sure to report any
regressions to our issue tracker:
https://github.com/pytest-dev/pytest/issues
…
[View More]When doing so, please include the string ``[prerelease]`` in the title.
You can upgrade from PyPI via:
pip install pytest==8.0.0rc2
Users are encouraged to take a look at the CHANGELOG carefully:
https://docs.pytest.org/en/release-8.0.0rc2/changelog.html
Thanks to all the contributors to this release:
* Ben Brown
* Bruno Oliveira
* Ran Benita
Happy testing,
The pytest Development Team
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Good afternoon, I am looking to book a Standard or Deluxe room, for the dates from March 3, to March 10, 2024. Could you please confirm availability and provide the cost? Thanks in advance
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We silently skipped releasing in December (it was too close to the
holidays, a lot of people were away) so by date you may have been expecting
alpha 4, but instead it’s alpha 3:
https://www.python.org/downloads/release/python-3130a3/
*This is an early developer preview of Python 3.13*
<https://discuss.python.org/t/python-3-13-alpha-3/43437#major-new-features-o…>Major
new features of the 3.13 series, compared to 3.12
Python 3.13 is still in development. This release, 3.13.0a3, is the …
[View More]third
of six planned alpha releases.
Alpha releases are intended to make it easier to test the current state of
new features and bug fixes and to test the release process.
During the alpha phase, features may be added up until the start of the
beta phase (2024-05-07) and, if necessary, may be modified or deleted up
until the release candidate phase (2024-07-30). Please keep in mind that
this is a preview release and its use is *not* recommended for production
environments.
Many new features for Python 3.13 are still being planned and written. Work
continues apace on both the work to remove the Global Interpeter Lock
<https://peps.python.org/pep-0703/>, and to improve Python performance. The
most notable changes so far:
- In the interactive interpreter, exception tracebacks are now colorized
by default
<https://docs.python.org/dev/whatsnew/3.13.html#improved-error-messages>.
- Docstrings now have their leading indentation stripped
<https://docs.python.org/dev/whatsnew/3.13.html#other-language-changes>,
reducing memory use and the size of .pyc files. (Most tools handling
docstrings already strip leading indentation.)
- PEP 594 (Removing dead batteries from the standard library)
<https://peps.python.org/pep-0594/> scheduled removals of many
deprecated modules: aifc, audioop, chunk, cgi, cgitb, crypt, imghdr,
mailcap, msilib, nis, nntplib, ossaudiodev, pipes, sndhdr, spwd, sunau,
telnetlib, uu, xdrlib, lib2to3.
- Many other removals
<https://docs.python.org/dev/whatsnew/3.13.html#removed> of deprecated
classes, functions and methods in various standard library modules.
- New deprecations
<https://docs.python.org/dev/whatsnew/3.13.html#deprecated>, most of
which are scheduled for removal from Python 3.15 or 3.16.
- C API removals <https://docs.python.org/dev/whatsnew/3.13.html#id10>
and deprecations <https://docs.python.org/dev/whatsnew/3.13.html#id9>.
(Some removals present in alpha 1 have been reverted in alpha 2, as the
removals were deemed too disruptive at this time.)
(Hey, *fellow core developer,* if a feature you find important is missing
from this list, let Thomas know <thomas(a)python.org>.)
The next pre-release of Python 3.13 will be 3.13.0a4, currently scheduled
for 2023-02-13.
<https://discuss.python.org/t/python-3-13-alpha-3/43437#more-resources-2>More
resources
- Online Documentation <https://docs.python.org/3.13/>
- PEP 719 <https://www.python.org/dev/peps/pep-0719/>, 3.13 Release
Schedule
- Report bugs at Issues · python/cpython · GitHub
<https://github.com/python/cpython/issues>.
- Help fund Python and its community
<https://www.python.org/psf/donations/>.
<https://discuss.python.org/t/python-3-13-alpha-3/43437#enjoy-the-new-releas…>Enjoy
the new releases
Thanks to all of the many volunteers who help make Python Development and
these releases possible! Please consider supporting our efforts by
volunteering yourself or through organization contributions to the Python
Software Foundation.
Regards from snowy Amsterdam,
Your release team,
Thomas Wouters
Ned Deily
Steve Dower
Łukasz Langa
--
Thomas Wouters <thomas(a)python.org>
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On behalf of the Nikola team, I am pleased to announce the immediate
availability of Nikola v8.3.0. This release adds support for Python 3.12,
with some other features and bugfixes.
Note that Nikola v8.3.0 no longer uses the Yapsy plugin manager,
which has been replaced by a custom, minimal manager.
The new Nikola Plugin Manager was tested with some typical plugins,
but there might be issues if your plugins have an unusual structure
or are outdated. Please update your plugins and report any …
[View More]bugs
you may encounter.
The Nikola developers would also like to express discontent with Python’s
efforts to remove features from the standard library, causing breakage
without a solid reason, other than “it’s old”.
What is Nikola?
===============
Nikola is a static site and blog generator, written in Python.
It can use Mako and Jinja2 templates, and input in many popular markup
formats, such as reStructuredText and Markdown — and can even turn
Jupyter Notebooks into blog posts! It also supports image galleries,
and is multilingual. Nikola is flexible, and page builds are extremely
fast, courtesy of doit (which is rebuilding only what has been changed).
Find out more at the website: https://getnikola.com/
Downloads
=========
Install using `pip install Nikola`.
Changes
=======
Features
--------
* Implement a new plugin manager from scratch to replace Yapsy,
which does not work on Python 3.12 due to Python 3.12 carelessly
removing parts of the standard library (Issue #3719)
* Support for Discourse as comment system (Issue #3689)
Bugfixes
--------
* Fix loading of templates from plugins with ``__init__.py`` files
(Issue #3725)
* Fix margins of paragraphs at the end of sections (Issue #3704)
* Ignore ``.DS_Store`` files in listing indexes (Issue #3698)
* Fix baguetteBox.js invoking in the base theme (Issue #3687)
* Fix development (preview) server ``nikola auto``
for non-root SITE_URL, in particular when URL_TYPE is full_path.
(Issue #3715)
For plugin developers
---------------------
Nikola now requires the ``.plugin`` file to contain a ``[Nikola]``
section with a ``PluginCategory`` entry set to the name of the plugin
category class. This was already required by ``plugins.getnikola.com``,
but you may have custom plugins that don’t have this set.
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Hi all,
On behalf of the sparse developers, I’m pleased to announce the release of sparse 0.15.1. This is a significant release with Array API support, pyproject.toml packaging, einsum support and other miscellaneous improvements.
Source Code: https://github.com/pydata/sparse
Documentation: https://sparse.pydata.org/en/stable/
Discussions: https://github.com/pydata/sparse/discussions
Best regards,
Hameer Abbasi
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What is python-oracledb?
python-oracledb is a Python extension module that enables access to Oracle
Database for Python and conforms to the Python database API 2.0
specifications with a number of enhancements. This module is intended to
eventually replace cx_Oracle.
Where do I get it?
https://pypi.org/project/oracledb/2.0.1/
The easiest method to install/upgrade python-oracledb is via pip as in
python -m pip install oracledb --upgrade
What's new?
This release addresses a number of …
[View More]reported issues.
See the full release notes for all of the details:
https://python-oracledb.readthedocs.io/en/latest/release_notes.html#oracled…
Please provide any feedback via GitHub issues: https://github.com/oracle/
python-oracledb/issues or discussions: https://github.com/oracle/python-
oracledb/discussions
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Hi All,
On behalf of the NumPy team, I'm pleased to announce the release of NumPy
1.26.3. NumPy 1.26.3 is a maintenance release that fixes bugs and
regressions discovered after the 1.26.2 release. The most notable fixes are
the f2py bug fixes. The Python versions supported by this release are
3.9-3.12. Wheels can be downloaded from PyPI
<https://pypi.org/project/numpy/1.26.3/>; source archives, release notes,
and wheel hashes are available on Github
<https://github.com/numpy/numpy/…
[View More]releases/tag/v1.26.3>.
*Contributors*
A total of 18 people contributed to this release. People with a "+" by
their names contributed a patch for the first time.
- @DWesl
- @Illviljan
- Alexander Grund
- Andrea Bianchi +
- Charles Harris
- Daniel Vanzo
- Johann Rohwer +
- Matti Picus
- Nathan Goldbaum
- Peter Hawkins
- Raghuveer Devulapalli
- Ralf Gommers
- Rohit Goswami
- Sayed Adel
- Sebastian Berg
- Stefano Rivera +
- Thomas A Caswell
- matoro
*Pull requests merged*
A total of 42 pull requests were merged for this release.
- #25130: MAINT: prepare 1.26.x for further development
- #25188: TYP: add None to ``__getitem__`` in ``numpy.array_api``
- #25189: BLD,BUG: quadmath required where available [f2py]
- #25190: BUG: alpha doesn't use REAL(10)
- #25191: BUG: Fix FP overflow error in division when the divisor is
scalar
- #25192: MAINT: Pin scipy-openblas version.
- #25201: BUG: Fix f2py to enable use of string optional inout argument
- #25202: BUG: Fix -fsanitize=alignment issue in
numpy/_core/src/multiarray/arraytypes.c.src
- #25203: TST: Explicitly pass NumPy path to cython during tests (also...
- #25204: BUG: fix issues with ``newaxis`` and ``linalg.solve`` in
``numpy.array_api``
- #25205: BUG: Disallow shadowed modulenames
- #25217: BUG: Handle common blocks with kind specifications from modules
- #25218: BUG: Fix moving compiled executable to root with f2py -c on
Windows
- #25219: BUG: Fix single to half-precision conversion on PPC64/VSX3
- #25227: TST: f2py: fix issue in test skip condition
- #25240: Revert "MAINT: Pin scipy-openblas version."
- #25249: MAINT: do not use ``long`` type
- #25377: TST: PyPy needs another gc.collect on latest versions
- #25378: CI: Install Lapack runtime on Cygwin.
- #25379: MAINT: Bump conda-incubator/setup-miniconda from 2.2.0 to 3.0.1
- #25380: BLD: update vendored Meson for AIX shared library fix
- #25419: MAINT: Init ``base`` in cpu_avx512_kn
- #25420: BUG: Fix failing test_features on SapphireRapids
- #25422: BUG: Fix non-contiguous memory load when ARM/Neon is enabled
- #25428: MAINT,BUG: Never import distutils above 3.12 [f2py]
- #25452: MAINT: make the import-time check for old Accelerate more
specific
- #25458: BUG: fix macOS version checks for Accelerate support
- #25465: MAINT: Bump actions/setup-node and
larsoner/circleci-artifacts-redirector-action
- #25466: BUG: avoid seg fault from OOB access in RandomState.set_state()
- #25467: BUG: Fix two errors related to not checking for failed
allocations
- #25468: BUG: Fix regression with ``f2py`` wrappers when modules and
subroutines...
- #25475: BUG: Fix build issues on SPR
- #25478: BLD: fix uninitialized variable warnings from
simd/neon/memory.h
- #25480: BUG: Handle ``iso_c_type`` mappings more consistently
- #25481: BUG: Fix module name bug in signature files [urgent] [f2py]
- #25482: BUG: Handle .pyf.src and fix SciPy [urgent]
- #25483: DOC: ``f2py`` rewrite with ``meson`` details
- #25485: BUG: Add external library handling for meson [f2py]
- #25486: MAINT: Run f2py's meson backend with the same python that
ran...
- #25489: MAINT: Update ``numpy/f2py/_backends`` from main.
- #25490: MAINT: Easy updates of ``f2py/*.py`` from main.
- #25491: MAINT: Update crackfortran.py and f2py2e.py from main
Cheers,
Charles Harris
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