NumPy-Discussion

Download

numpy-discussion@python.org

January 2024

35 participants
29 discussions

ANN: DataLab v0.11 Released
by Pierre Raybaut Jan. 31, 2024

Jan. 31, 2024

Hello everyone, We're excited to announce the release of DataLab v0.11, alongside a completely redesigned website: https://codra-ingenierie-informatique.github.io/DataLab DataLab is an open-source platform for scientific and technical data processing and visualization, based on NumPy, SciPy, ... and Qt. Once again, this release is the result of the feedback and contributions of our early adopters. We're grateful for your support and look forward to your continued insights. 💥 New Features: - Enhanced tree view for signals and images with drag and drop functionality. - Advanced 1D interpolation and resampling features for signals. - New intensity profile features for images (e.g. radial profile). - Plot results obtained from signal and image computations. - And many other improvements (plugin API, 1D/2D computing results, profile extraction, ...) 🌐 Revamped Website: - Comprehensive documentation of features and public API. - "Getting Started" guides with overviews, use cases, and detailed tutorials, including videos (example data sets are mainly based on contributions from our early adopters). 💡 You have a project or a use case in mind? (we can even write a tutorial for you...) You want to contribute? We'd love to hear from you! So please, don't hesitate to contact us or to open an issue (https://github.com/Codra-Ingenierie-Informatique/DataLab/issues/new/choose) on our GitHub project for any request or question. Thank you for taking the time to read my announcement. Looking forward to your thoughts. Best, Pierre

1 0

welcome Raghuveer, Chris, Mateusz and Matt to the NumPy maintainers team
by Ralf Gommers Jan. 29, 2024

Jan. 29, 2024

Hi all, We've got four new NumPy maintainers! Welcome to the team, and congratulations to: - Raghuveer Devulapalli (https://github.com/r-devulap) - Chris Sidebottom (https://github.com/mousius) - Mateusz Sokół (https://github.com/mtsokol/) - Matt Haberland (https://github.com/mdhaber) Raghuveer and Chris have been contribution to the effort on SIMD and performance optimizations for quite a while now. Mateusz has done a lot of the heavy lifting on the Python API improvements for NumPy 2.0 And Matt has been contributing to the test infrastructure and docs. Thanks to all four of you for the great work to date! Cheers, Ralf

7 6

ANN: NumExpr 2.9.0 released
by Francesc Alted Jan. 26, 2024

Jan. 26, 2024

======================== Announcing NumExpr 2.9.0 ======================== Hi everyone, NumExpr 2.9.0 is a release offering support for latest versions of PyPy. The full test suite should pass now, at least for the Python 3.10 version. Thanks to @27rabbitlt for most of the work and @mgorny and @mattip for providing help and additional fixes. Project documentation is available at: http://numexpr.readthedocs.io/ Changes from 2.8.8 to 2.9.0 --------------------------- * Support for PyPy (see PRs #467 and #740). The full test suite should pass now, at least for the 3.10 version. Thanks to @27rabbitlt for most of the work and @mgorny and @mattip for providing help and additional fixes. Fixes #463. * Fixed more sanitizer issues (see PR #469). Thanks to @27rabbitlt. * Modernized the test suite to avoid some warnings. What's Numexpr? --------------- Numexpr is a fast numerical expression evaluator for NumPy. With it, expressions that operate on arrays (like "3*a+4*b") are accelerated and use less memory than doing the same calculation in Python. It has multi-threaded capabilities, as well as support for Intel's MKL (Math Kernel Library), which allows an extremely fast evaluation of transcendental functions (sin, cos, tan, exp, log...) while squeezing the last drop of performance out of your multi-core processors. Look here for a some benchmarks of numexpr using MKL: https://github.com/pydata/numexpr/wiki/NumexprMKL Its only dependency is NumPy (MKL is optional), so it works well as an easy-to-deploy, easy-to-use, computational engine for projects that don't want to adopt other solutions requiring more heavy dependencies. Where I can find Numexpr? ------------------------- The project is hosted at GitHub in: https://github.com/pydata/numexpr You can get the packages from PyPI as well (but not for RC releases): http://pypi.python.org/pypi/numexpr Documentation is hosted at: http://numexpr.readthedocs.io/en/latest/ Share your experience --------------------- Let us know of any bugs, suggestions, gripes, kudos, etc. you may have. Enjoy data!

1 0

Proposal to accept NEP 55: Add a UTF-8 variable-width string DType to NumPy
by Nathan Jan. 24, 2024

Jan. 24, 2024

Hi all, I propose we accept NEP 55 and merge PR #25347 implementing the NEP in time for the NumPy 2.0 RC: https://numpy.org/neps/nep-0055-string_dtype.html https://github.com/numpy/numpy/pull/25347 The most controversial aspect of the NEP was support for missing strings via a user-supplied sentinel object. In the previous discussion on the mailing list, Warren Weckesser argued for shipping a missing data sentinel with NumPy for use with the DType, while in code review and the PR for the NEP, Sebestian expressed concern about the additional complexity of including missing data support at all. I found that supporting missing data is key to efficiently supporting the new DType in Pandas. I think that argues that we need some level of missing data support to fully replace object string arrays. I believe the compromise proposal in the NEP is sufficient for downstream libraries while limiting additional complexity elsewhere in NumPy. Concerns raised in previous discussions about concretely specifying the C API to be made public, preventing use-after-free errors in a multithreaded context, and uncertainty around the arena allocator implementation have been resolved in the latest version of the NEP and the open PR. Additionally, due to some excellent and timely work by Lysandros Nikolaou, we now have a number of string ufuncs in NumPy and a straightforward plan to add more. Loops have been implemented for all the ufuncs added in the NumPy 2.0 dev cycle so far. I would like to see us ship the DType in NumPy 2.0. This will allow us to advertise a major new feature, will spur efforts to support new DTypes in downstream libraries, and will allow us to get feedback from the community that would be difficult to obtain without releasing the code into the wild. Additionally, I am funded via a NASA ROSES grant for work related to this effort until the end of 2024, so including the DType in NumPy 2.0 will more efficiently use my funded time to fix issues. If there are no substantive objections to this email, then the NEP will be considered accepted; see NEP 0 for more details: https://numpy.org/neps/nep-0000.html

4 3

Enhancement: Chebyshev power using DCT
by Fabio Matti Jan. 24, 2024

Jan. 24, 2024

Hi, In the `numpy.polynomial.chebyshev` module, the function for raising a Chebyshev polynomial to a power, `chebpow` [1], is essentially implemented in the following way: {{{#!highlight python def chebpow(c, pow): """Raise a Chebyshev series to a power.""" zs = _cseries_to_zseries(c) prd = zs for i in range(2, pow + 1): prd = np.convolve(prd, zs) return _zseries_to_cseries(prd) }}} For large coefficient arrays `c` and big exponents `pow`, this procedure is not efficient. In fact, the complexity of this function is `O(pow*len(c)^2)`, since the numpy convolution does not make use of a Fast Fourier Transform (FFT). It is known that Chebyshev polynomials can be multiplied with Discrete Cosine Transforms (DCT) [2]. What results is the following algorithm`O(pow*len(c)*log(pow*len(c)))` algorithm for raising a Chebyshev polynomial with coefficients `c` to an integer power: {{{#!highlight python def chebpow_dct(c, pow): """Raise a Chebyshev series to a power.""" pad_length = (pow - 1) * (len(c) - 1) c = np.pad(c, (0, pad_length)) c[1:-1] /= 2 c_pow = idct(dct(c) ** pow) c_pow[1:-1] *= 2 return c_pow }}} The only issue I am having is that as far as I know, `numpy` (unlike `scipy`) does not have a specialized implementation for the DCT. So the only way of getting the code to work is "emulating" a DCT with two calls to `numpy.fft.rfft`, which is slightly slower than using the `scipy.fft.dct`. I have created a Google colab notebook which compares the error and runtime of the different implementations (current implementation, implementation using `scipy.fft.dct`, and pure numpy implementation) [3]. Especially for larger degree polynomials and higher powers this enhancement would make a huge difference in terms of runtime. Similarly, `chebmul` and `chebinterpolate` can also be implemented more efficiently by using a DCT. Do you think this enhancement is worth pursuing, and should I create a pull-request for it? Best, Fabio [1] https://github.com/numpy/numpy/blob/main/numpy/polynomial/chebyshev.py#L817 [2] https://www.sciencedirect.com/science/article/pii/0024379595006966 [3] https://colab.research.google.com/drive/1JtDDeWC1CEQHDidZ9f5_Ma_ifoBv4Tuz?u…

2 1

ANN: SciPy 1.12.0
by Tyler Reddy Jan. 20, 2024

Jan. 20, 2024

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 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 ******* * Name (commits) * endolith (1) * h-vetinari (34) * Tom Adamczewski (3) + * Anudeep Adiraju (1) + * akeemlh (1) * Alex Amadori (2) + * Raja Yashwanth Avantsa (2) + * Seth Axen (1) + * Ross Barnowski (1) * Dan Barzilay (1) + * Ashish Bastola (1) + * Christoph Baumgarten (2) * Ben Beasley (3) + * Doron Behar (1) * Peter Bell (1) * Sebastian Berg (1) * Ben Boeckel (1) + * David Boetius (1) + * Matt Borland (1) * Jake Bowhay (103) * Larry Bradley (1) + * Dietrich Brunn (5) * Evgeni Burovski (102) * Matthias Bussonnier (18) * CJ Carey (6) * Colin Carroll (1) + * Aadya Chinubhai (1) + * Luca Citi (1) * Lucas Colley (141) + * com3dian (1) + * Anirudh Dagar (4) * Danni (1) + * Dieter Werthmüller (1) * John Doe (2) + * Philippe DONNAT (2) + * drestebon (1) + * Thomas Duvernay (1) * elbarso (1) + * emilfrost (2) + * Paul Estano (8) + * Evandro (2) * Franz Király (1) + * Nikita Furin (1) + * gabrielthomsen (1) + * Lukas Geiger (9) + * Artem Glebov (22) + * Caden Gobat (1) * Ralf Gommers (127) * Alexander Goscinski (2) + * Rohit Goswami (2) + * Olivier Grisel (1) * Matt Haberland (244) * Charles Harris (1) * harshilkamdar (1) + * Alon Hovav (2) + * Gert-Ludwig Ingold (1) * Romain Jacob (1) + * jcwhitehead (1) + * Julien Jerphanion (13) * He Jia (1) * JohnWT (1) + * jokasimr (1) + * Evan W Jones (1) * Karen Róbertsdóttir (1) + * Ganesh Kathiresan (1) * Robert Kern (11) * Andrew Knyazev (4) * Uwe L. Korn (1) + * Rishi Kulkarni (1) * Kale Kundert (3) + * Jozsef Kutas (2) * Kyle0 (2) + * Robert Langefeld (1) + * Jeffrey Larson (1) + * Jessy Lauer (1) + * lciti (1) + * Hoang Le (1) + * Antony Lee (5) * Thilo Leitzbach (4) + * LemonBoy (2) + * Ellie Litwack (8) + * Thomas Loke (4) + * Malte Londschien (1) + * Christian Lorentzen (6) * Adam Lugowski (10) + * lutefiskhotdish (1) * mainak33 (1) + * Ben Mares (11) + * mart-mihkel (2) + * Mateusz Sokół (24) + * Nikolay Mayorov (4) * Nicholas McKibben (1) * Melissa Weber Mendonça (7) * Michał Górny (1) * Kat Mistberg (2) + * mkiffer (1) + * mocquin (1) + * Nicolas Mokus (2) + * Sturla Molden (1) * Roberto Pastor Muela (3) + * Bijay Nayak (1) + * Andrew Nelson (105) * Praveer Nidamaluri (3) + * Lysandros Nikolaou (2) * Dimitri Papadopoulos Orfanos (7) * Pablo Rodríguez Pérez (1) + * Dimitri Papadopoulos (2) * Tirth Patel (14) * Kyle Paterson (1) + * Paul (4) + * Yann Pellegrini (2) + * Matti Picus (4) * Ilhan Polat (36) * Pranav (1) + * Bharat Raghunathan (1) * Chris Rapson (1) + * Matteo Raso (4) * Tyler Reddy (215) * Martin Reinecke (1) * Tilo Reneau-Cardoso (1) + * resting-dove (2) + * Simon Segerblom Rex (4) * Lucas Roberts (2) * Pamphile Roy (31) * Feras Saad (3) + * Atsushi Sakai (3) * Masahiro Sakai (2) + * Omar Salman (14) * Andrej Savikin (1) + * Daniel Schmitz (55) * Dan Schult (19) * Scott Shambaugh (9) * Sheila-nk (2) + * Mauro Silberberg (3) + * Maciej Skorski (1) + * Laurent Sorber (1) + * Albert Steppi (28) * Kai Striega (1) * Saswat Susmoy (1) + * Alex Szatmary (1) + * Søren Fuglede Jørgensen (3) * othmane tamri (3) + * Ewout ter Hoeven (1) * Will Tirone (1) * TLeitzbach (1) + * Kevin Topolski (1) + * Edgar Andrés Margffoy Tuay (1) * Dipansh Uikey (1) + * Matus Valo (3) * Christian Veenhuis (2) * Nicolas Vetsch (1) + * Isaac Virshup (7) * Hielke Walinga (2) + * 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 ~~~ 3244cbec7e1d915cfa5e4256e76bee00 Changelog 0cc6c0a2e33491849d30123c85f8d724 README.txt 3fcb8c36cde56efb2e32e272c46afb22 scipy-1.12.0-cp310-cp310-macosx_10_9_x86_64.whl f8c800850198cbad805e02fc2ea38c03 scipy-1.12.0-cp310-cp310-macosx_12_0_arm64.whl 985d8d6da5137a9226dfcdd21e734218 scipy-1.12.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl 0602aa75e264aa0372a6598bb737da5d scipy-1.12.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl d8eef299b1cfaf73976c5fcb1cca971e scipy-1.12.0-cp310-cp310-musllinux_1_1_x86_64.whl b8e5b38c6f6d1279e03b2119d6663d6f scipy-1.12.0-cp310-cp310-win_amd64.whl fd3874054dea07b81027e7f560b5c9c0 scipy-1.12.0-cp311-cp311-macosx_10_9_x86_64.whl 56876fe7421dff78cceeb9593065f022 scipy-1.12.0-cp311-cp311-macosx_12_0_arm64.whl 556cd94056e0271f88f9d682400a14d7 scipy-1.12.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl 87bc0cbe75653eee74832d9152d21837 scipy-1.12.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl 8867bd7ea936c896eabc30b97b4462cb scipy-1.12.0-cp311-cp311-musllinux_1_1_x86_64.whl 58a151c76b9b5355e9e51a126af9845a scipy-1.12.0-cp311-cp311-win_amd64.whl fd9eecf7a42b6d0eacaf029f96a6bcbb scipy-1.12.0-cp312-cp312-macosx_10_9_x86_64.whl 574624372a61bef50322441b4073c252 scipy-1.12.0-cp312-cp312-macosx_12_0_arm64.whl c59230ab714a5df34e614e3e71a63c96 scipy-1.12.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl 49ff9a14b7752884cec16c7709e48b45 scipy-1.12.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl dc47daeac90af7774778f178621be0e2 scipy-1.12.0-cp312-cp312-musllinux_1_1_x86_64.whl 6390f1298aa0f88c0e83a92d85a17deb scipy-1.12.0-cp312-cp312-win_amd64.whl 6363763dfa8b09826e0fde808c4529b3 scipy-1.12.0-cp39-cp39-macosx_10_9_x86_64.whl 578c64f2f58e49163e5b435a8501408c scipy-1.12.0-cp39-cp39-macosx_12_0_arm64.whl 796e884950efbf8c346e612941c984b8 scipy-1.12.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl e4f99e7ccf74ac09e309b9ad54b550a4 scipy-1.12.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl 02dbb13ac8aeb186ccb7880d9a471c21 scipy-1.12.0-cp39-cp39-musllinux_1_1_x86_64.whl b399bc8182602006a316c0a3e5088b84 scipy-1.12.0-cp39-cp39-win_amd64.whl SHA256 ~~~~~~ ec65d3b76793aa7a5ffcf2e9a8f8ccb2a035e6f810bc647c25b05f1f0ee1c804 Changelog d9462c0fbaaa566b51edc096c0c732fc25f56fecebde96f3116d12c2076d22d0 README.txt 78e4402e140879387187f7f25d91cc592b3501a2e51dfb320f48dfb73565f10b scipy-1.12.0-cp310-cp310-macosx_10_9_x86_64.whl f5f00ebaf8de24d14b8449981a2842d404152774c1a1d880c901bf454cb8e2a1 scipy-1.12.0-cp310-cp310-macosx_12_0_arm64.whl e53958531a7c695ff66c2e7bb7b79560ffdc562e2051644c5576c39ff8efb563 scipy-1.12.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl 5e32847e08da8d895ce09d108a494d9eb78974cf6de23063f93306a3e419960c scipy-1.12.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl 4c1020cad92772bf44b8e4cdabc1df5d87376cb219742549ef69fc9fd86282dd scipy-1.12.0-cp310-cp310-musllinux_1_1_x86_64.whl 75ea2a144096b5e39402e2ff53a36fecfd3b960d786b7efd3c180e29c39e53f2 scipy-1.12.0-cp310-cp310-win_amd64.whl 408c68423f9de16cb9e602528be4ce0d6312b05001f3de61fe9ec8b1263cad08 scipy-1.12.0-cp311-cp311-macosx_10_9_x86_64.whl 5adfad5dbf0163397beb4aca679187d24aec085343755fcdbdeb32b3679f254c scipy-1.12.0-cp311-cp311-macosx_12_0_arm64.whl c3003652496f6e7c387b1cf63f4bb720951cfa18907e998ea551e6de51a04467 scipy-1.12.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl 8b8066bce124ee5531d12a74b617d9ac0ea59245246410e19bca549656d9a40a scipy-1.12.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl 8bee4993817e204d761dba10dbab0774ba5a8612e57e81319ea04d84945375ba scipy-1.12.0-cp311-cp311-musllinux_1_1_x86_64.whl a24024d45ce9a675c1fb8494e8e5244efea1c7a09c60beb1eeb80373d0fecc70 scipy-1.12.0-cp311-cp311-win_amd64.whl e7e76cc48638228212c747ada851ef355c2bb5e7f939e10952bc504c11f4e372 scipy-1.12.0-cp312-cp312-macosx_10_9_x86_64.whl f7ce148dffcd64ade37b2df9315541f9adad6efcaa86866ee7dd5db0c8f041c3 scipy-1.12.0-cp312-cp312-macosx_12_0_arm64.whl 9c39f92041f490422924dfdb782527a4abddf4707616e07b021de33467f917bc scipy-1.12.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl a7ebda398f86e56178c2fa94cad15bf457a218a54a35c2a7b4490b9f9cb2676c scipy-1.12.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl 95e5c750d55cf518c398a8240571b0e0782c2d5a703250872f36eaf737751338 scipy-1.12.0-cp312-cp312-musllinux_1_1_x86_64.whl e646d8571804a304e1da01040d21577685ce8e2db08ac58e543eaca063453e1c scipy-1.12.0-cp312-cp312-win_amd64.whl 913d6e7956c3a671de3b05ccb66b11bc293f56bfdef040583a7221d9e22a2e35 scipy-1.12.0-cp39-cp39-macosx_10_9_x86_64.whl bba1b0c7256ad75401c73e4b3cf09d1f176e9bd4248f0d3112170fb2ec4db067 scipy-1.12.0-cp39-cp39-macosx_12_0_arm64.whl 730badef9b827b368f351eacae2e82da414e13cf8bd5051b4bdfd720271a5371 scipy-1.12.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl 6546dc2c11a9df6926afcbdd8a3edec28566e4e785b915e849348c6dd9f3f490 scipy-1.12.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl 196ebad3a4882081f62a5bf4aeb7326aa34b110e533aab23e4374fcccb0890dc scipy-1.12.0-cp39-cp39-musllinux_1_1_x86_64.whl b360f1b6b2f742781299514e99ff560d1fe9bd1bff2712894b52abe528d1fd1e scipy-1.12.0-cp39-cp39-win_amd64.whl

1 0

Feature request: Extension of the np.argsort Function - Returning Positional Information for Data
by hao chen Jan. 17, 2024

Jan. 17, 2024

When dealing with lists that contain duplicate data, np.argsort fails to return index values that correspond to the actual sorting positions of the data, as it does when handling arrays without duplicates. Dear Author: When I use the np.argsort function on an array without duplicate data, the returned index values correspond to the sorting positions of the respective data.😀 x = [1, 2, 5, 4] rank = np.argsort(x) print(rank) # [0 1 3 2] However, when there are duplicate values, the results from np.argsort sometimes do not correspond to the sorting positions of the respective data . x = [1, 4, 1, 1, 2, 4, 5] rank = np.argsort(x) print(rank) # [0 2 3 4 1 5 6] Assuming a person frequently uses np.argsort to obtain positions by sorting data without duplicates, introducing duplicate values in the data may lead to inconspicuous errors in positions that are difficult to detect. Moreover, as the dataset grows, identifying such issues may become even more challenging. For users in this situation, the desired results might be achieved using the following function: import numpy as np def my_sort(x): arg_x = np.sort(x) rank = [np.where(arg_x == i)[0][0] for i in x] return np.array(rank) x = [1, 4, 1, 1, 2, 4, 5] rank_arg = np.argsort(x) rank_position = my_sort(x) print("rank_arg",rank_arg) print("rank_position",rank_position) # rank_arg [0 2 3 4 1 5 6] # rank_position [0 4 0 0 3 4 6] This method produces results consistent with np.argsort when applied to arrays without duplicate values. x = [1, 2, 5, 4] rank_arg = np.argsort(x) rank_position = my_sort(x) print("rank_arg",rank_arg) print("rank_position",rank_position) # rank_arg [0 1 3 2] # rank_position [0 1 3 2] Although there is no issue with the documentation of np.argsort itself, the need you've highlighted may be widespread. Therefore, it might be worth considering the addition of a function, for example, np.position(data), to enhance the functionality of numpy. My device: system: win10 64x python version: 3.9.11 numpy version: 1.21.2 Sincerely, Looking forward to your response! ❤❤❤❤

2 1

NEP 56: array API standard support in the main numpy namespace
by Ralf Gommers Jan. 16, 2024

Jan. 16, 2024

Hi all, Here is what is probably the second-to-last NEP for NumPy 2.0 (the last one being the informational summary NEP of all major changes): https://github.com/numpy/numpy/pull/25542. Full text below. A lot of the work has been under discussion since the 2.0 developer meeting in April and has been merged. A few of PRs that didn't make sense as standalone changes without this NEP are still open (see the "NumPy 2.0 API Changes" label), and there's a couple ones that still need to be opened. For editorial comments on the text, please comment on GitHub. For significant conceptual/design comments, please post them on this thread. Cheers, Ralf ============================================================= NEP 56 — Array API standard support in NumPy's main namespace ============================================================= :Author: Ralf Gommers <ralf.gommers(a)gmail.com> :Author: Mateusz Sokół <msokol(a)quansight.com> :Author: Nathan Goldbaum <ngoldbaum(a)quansight.com> :Status: Draft :Type: Standards Track :Created: 2023-12-19 :Resolution: TODO mailing list link Abstract -------- This NEP proposes adding full support for the 2022.12 version of the array API standard in NumPy's main namespace for the 2.0 release. Motivation and scope -------------------- .. note:: The main changes proposed in this NEP were presented in the NumPy 2.0 Developer Meeting in April 2023 (see `here < https://github.com/numpy/archive/blob/main/2.0_developer_meeting/NumPy_2.0_… >`__ for presentations from that meeting) and given a thumbs up there. The majority of the implementation work for NumPy 2.0 has already been merged. For the rest, PRs are ready - those are mainly the items that are specific to array API support and we'd probably not consider for inclusion in NumPy without that context. This NEP will focus on those APIs and PRs in a bit more detail. :ref:`NEP47` contains the motivation for adding array API support to NumPy. This NEP expands on and supersedes NEP 47. The main reason NEP 47 aimed for a separate ``numpy.array_api`` submodule rather than the main namespace is that casting rules differed too much. With value-based casting being removed (:ref:`NEP50`), that will be resolved in NumPy 2.0. Having NumPy be a superset of the array API standard will be a significant improvement for code portability to other libraries (CuPy, JAX, PyTorch, etc.) and thereby address one of the top user requests from the 2020 NumPy user survey [4]_ (GPU support). See `the numpy.array_api API docs (1.26.x) < https://numpy.org/doc/1.26/reference/array_api.html#table-of-differences-be… >`__ for an overview of differences between it and the main namespace (note that the "strictness" ones are not applicable). Experiences with ``numpy.array_api``, which is still marked as experimental, have shown that the separate strict implementation and separate array object are mostly good for testing purposes, but not for regular usage in downstream libraries. Having support in the main namespace resolves this issue. Hence this NEP supersedes NEP 47. The ``numpy.array_api`` module will be moved to a standalone package, to facilitate easier updates not tied to a NumPy release cycle. Some of the key design rules from the array API standard (e.g., output dtypes predictable from input dtypes, no polymorphic APIs with varying number of returns controlled by keywords) will also be applied to NumPy functions that are not part of the array API standard, because those design rules are now understood to be good practice in general. Those two design rules in particular make it easier for Numba and other JIT compilers to support NumPy or NumPy-compatible APIs. We'll note that making existing arguments positional-only and keyword-only is a good idea for functions added to NumPy in the future, but will not be done for existing functions since each such change is a backwards compatibility break and it's not necessary for writing code that is portable across libraries supporting the standard. An additional reason to apply those design rules to all functions in the main namespace now is that it then becomes much easier to deal with potential standardization of new functions already present in NumPy - those could otherwise be blocked or forced to use alternative function names due to the need for backwards compatibility. It is important that new functions added to the main namespace integrate well with the rest of NumPy. So they should for example follow broadcasting and other rules as expected, and work with all NumPy's dtypes rather than only the ones in the standard. The same goes for backwards-incompatible changes (e.g., linear algebra functions need to all support batching in the same way, and consider the last two axes as matrices). As a result, NumPy should become more rather than less consistent. We'll note that one remaining incompatibility will be that NumPy is returning array scalars rather than 0-D arrays in most cases where the standard, and other array libraries, return 0-D arrays (e.g., indexing and reductions). There have been multiple discussions over the past year about the feasibility of removing array scalars from NumPy, or at least no longer returning them by default. However, this would be a large effort with some uncertainty about technical risks and impact of the change, and no one has taken it on. Given that array scalars implement a mostly array-compatible interface, this doesn't seem like the highest-prio item regarding array API standard compatibility. Here are what we see as the main expected benefits and costs of the complete set of proposed changes: Benefits: - It will remove the "having to make a choice between the NumPy API and the Array API" issue for other libraries, - The array API standard tends to have more consistent behavior than NumPy itself has (in cases where there are differences between the two, see for example the `linear algebra design principles < https://data-apis.org/array-api/2022.12/extensions/linear_algebra_functions… >`__ and `data-dependent output shapes page < https://data-apis.org/array-api/2022.12/design_topics/data_dependent_output… >`__ in the standard), - Easier for CuPy, JAX, PyTorch, Dask, Numba, and other such libraries and compilers to fully match or support NumPy, - A few new features that have benefits independent of the standard: adding ``matrix_transpose`` and ``ndarray.mT``, adding ``vecdot``, introducing ``matrix_norm``/``vector_norm`` (they can be made gufuncs, vecdot already has a PR making it one), Costs: - A number of backwards compatibility breaks (mostly minor, see the Backwards compatibility section further down), - Expanding the size of the main namespace with about ~20 aliases (e.g., ``acos`` & co. with C99 names aliasing ``arccos`` & co.). Overall we believe that the benefits significantly outweigh the gains - and are permanent, while the costs are largely temporary. In particular, the benefits to array libraries and compilers that want to achieve compatibility with NumPy are significant. And as a result, the long-term benefits for the PyData (or scientific Python) ecosystem as a whole - because of downstream libraries being able to support multiple array libraries as easily as possible - are significant too. The number of breaking changes needed is fairly limited, and the impact of those changes seems modest. Not painless, but smaller than the impact of other breaking changes in NumPy 2.0, and a price worth paying. In scope for this NEP are: - Changes to NumPy's Python API needed to support the 2022.12 version of the array API standard, - Changes in the behavior of existing NumPy functions not (or not yet) present in the array API standard, to align with key design principles of the standard. Out of scope for this NEP are: - Other changes to NumPy's Python API unrelated to the array API standard, - Changes to NumPy's C API. This NEP will supersede the following NEPs: - :ref:`NEP30` (never implemented) - :ref:`NEP31` (never implemented) - :ref:`NEP37` (never implemented; the ``__array_module__`` idea is basically the same as ``__array_namespace__``) - :ref:`NEP47` (implemented with an experimental label in ``numpy.array_api``, will be removed) Usage and impact ---------------- We have several different types of users in mind: end users writing numerical code, downstream packages that depend on NumPy who want to start supporting multiple array libraries, and other array libraries and tools which aim to implement NumPy-like or NumPy-compatible APIs. The most prominent users who will benefit from array API support are probably downstream libraries that want to start supporting CuPy, PyTorch, JAX, Dask, or other such libraries. SciPy and scikit-learn are already fairly far along the way of doing just that, and successfully support CuPy arrays and PyTorch tensors in a small part of their own APIs (that support is still marked as experimental). The main principle they use is that they replace the regular ``import numpy as np`` with a utility function to retrieve the array library namespace from the input array. They call it ``xp``, which is effectively an alias to ``np`` if the input is a NumPy array, ``cupy`` for a CuPy array, ``torch`` for a PyTorch tensor. This ``xp`` then allows writing code that works for all these libraries - because the array API standard is the common denominator. As a concrete example, this code is taken from ``scipy.cluster``: .. code:: python def vq_py(obs, code_book, check_finite=True): """Python version of vq algorithm""" xp = array_namespace(obs, code_book) obs = as_xparray(obs, xp=xp, check_finite=check_finite) code_book = as_xparray(code_book, xp=xp, check_finite=check_finite) if obs.ndim != code_book.ndim: raise ValueError("Observation and code_book should have the same rank") if obs.ndim == 1: obs = obs[:, xp.newaxis] code_book = code_book[:, xp.newaxis] # Once `cdist` has array API support, this `xp.asarray` call can be removed dist = xp.asarray(cdist(obs, code_book)) code = xp.argmin(dist, axis=1) min_dist = xp.min(dist, axis=1) return code, min_dist It mostly looks like normal NumPy code, but will run with for example PyTorch tensors as input and then return PyTorch tensors. There is a lot more to this story of course then this basic example. These blog posts on scikit-learn [1]_ and SciPy's [2]_ experiences and impact (large performance gains in some cases - ``LinearDiscriminantAnalysis.fit`` showed ~28x gain with PyTorch on GPU vs. NumPy) paint a more complete picture. For end users who are using NumPy directly, little changes aside from there being fewer differences between NumPy and other libraries they may want to use as well. This shortens their learning curve and makes it easier to switch between NumPy and PyTorch/JAX/CuPy. In addition, they should benefit from array-consuming libraries starting to support multiple array libraries, making their experience of using a stack of Python packages for scientific computing or data science more seamless. Finally, for authors of other array libraries as well as tools like Numba, array API standard support should save them time. The design rules ([3]_), and in some cases new APIs like the ``unique_*`` ones, are easier to implement on GPU and for JIT compilers as a result of more predictable behavior. Backward compatibility ---------------------- The changes that have a backwards compatibility impact fall into these categories: 1. Raising errors for consistency/strictness in some places where NumPy now allows more flexible behavior, 2. Dtypes of returned arrays for some element-wise functions and reductions, 3. Numerical behavior for few tolerance keywords, 4. Functions moved to ``numpy.linalg`` and supporting stacking/batching. Raising errors for consistency/strictness includes: 1. Making ``.T`` error for >2 dimensions, 2. Making ``cross`` error on size-2 vectors (only size-3 vectors are supported), 3. Making ``solve`` error on ambiguous input (only accept ``x2`` as vector if ``x2.ndim == 1``), 4. ``outer`` raises rather than flattens on >1-D inputs, 5. In-place operators are disallowed when the left-hand side would be promoted. Dtypes of returned arrays for some element-wise functions and reductions includes functions where dtypes need to be preserved: ``ceil``, ``floor``, and ``trunc`` will start returning arrays with the same integer dtypes if the input has an integer dtype. It also includes dtype changes: ``sum`` and ``prod`` always upcast lower-precision floating-point dtypes to ``float64`` when ``dtype=None`` (this upcasting is already done for inputs with lower-precision integer dtypes). Changes in numerical behavior include: - The ``rtol`` default value for ``pinv`` changes from ``1e-15`` to a dtype-dependent default value of ``None``, interpreted as ``max(M, N) * finfo(result_dtype).eps``, - The ``tol`` keyword to ``matrix_rank`` changes to ``rtol`` with a different interpretation. In addition, ``matrix_rank`` will no longer support 1-D array input, - ``argsort`` and ``sort`` will gain a ``stable`` keyword argument in addition to ``kind``, and the default will become ``stable=True``. - The ``ddof`` keyword in ``std`` and ``var`` changes its name to ``correction``. The ``diagonal`` and ``trace`` functions are part of the ``linalg`` submodule in the standard, rather than the main namespace. Hence they will be introduced in ``numpy.linalg``. They will operate on the last two rather than first two axes (for consistency, and to support stacking). Hence the ``linalg`` and main namespace functions of the same names will differ. This is technically not breaking, but potentially confusing because of the different behavior for functions with the same name. We may deprecate ``np.trace`` and ``np.diagonal`` to resolve it, but preferably not immediately to avoid users having to write ``if-2.0-else`` conditional code. A related note on terminology: "stacking" is a confusing and fairly NumPy-specific term, this is called "batching" in deep learning frameworks and elsewhere - we plan to change the terminology in NumPy to "batching". There may be other minor changes that don't quite fall in one of the categories above. For example, ``numpy.fft`` functions need to preserve precision for 32-bit input dtypes rather than upcast to ``float64``/``complex128``. And there's an issue with the ``s``/``axes`` argument in n-D transforms that needs solving (see `gh-25495 <https://github.com/numpy/numpy/pull/25495>`__). Adapting to the changes ^^^^^^^^^^^^^^^^^^^^^^^ Some part of the Array API has already been implemented as part of the general Python API cleanup for NumPy 2.0 (see NEP 52), such as: - establishing one and way for naming ``inf`` and ``nan`` that is array API compatible. - removing cryptic dtype names and establishing canonical names for each dtype. All instructions for migrating to a NEP 52 compatible codebase are available in the `NumPy 2.0 Migration Guide <https://numpy.org/devdocs/numpy_2_0_migration_guide.html>`__ . Additionally, a new ``ruff`` rule was implemented for an automatic migration of Python API changes. It's worth pointing out that the new rule NP201 is only to adhere to the NEP 52 changes, and does not cover using new functions that are part of the array API standard nor APIs with some types of backwards incompatible changes discussed above. For an automated migration to Array API compatible codebase, a new rule is being implemented (see issue `ruff#8615 < https://github.com/astral-sh/ruff/issues/8615>`__ and PR `ruff#8910 <https://github.com/astral-sh/ruff/pull/8910>`__). With both rules in place a downstream user should be able to update their project, to the extent that that is possible with automation, to a library agnostic codebase that can benefit from different array libraries and devices. Backwards incompatible changes that cannot be handled automatically (e.g., a change in ``rtol`` defaults for a linear algebra function), this will be handled the same way as any other backwards incompatible change in NumPy 2.0 - through documentation, release notes, and API migrations and deprecations over several releases. Detailed description -------------------- In this section we'll focus on specific API additions and functionality that we would not consider introducing into NumPy if the standard would not exist and we wouldn't have to think/worry about its main goal of writing code that is portable across multiple array libraries and their supported features like GPUs and other hardware accelerators or JIT compilers. ``device`` support ^^^^^^^^^^^^^^^^^^ Device support is perhaps the most obvious example. NumPy is and will remain a CPU-only library, so why bother introducing a ``ndarray.device`` attribute or ``device=`` keywords in several functions? This one feature is purely meant to make it easier to write code that is portable across libraries. The ``.device`` attribute will return an object representing CPU, and that object will be accepted as an input to ``device=`` keywords. For example: .. code:: # Should work when `xp` is `np` and `x1` a numpy array x2 = xp.asarray([0, 1, 2, 3], dtype=xp.float64, device=x1.device) This will work as expected for NumPy, creating a 1-D numpy array from the input list. It will also work for CuPy & co, where it may create a new array on a GPU or other supported device. ``isdtype`` ^^^^^^^^^^^ The array API standard introduced a new function ``isdtype`` for introspection of dtypes, because there was no suitable alternative in NumPy. The closest one is ``np.issubdtype``, however that assumes a complex class hierarchy which other array libraries don't have, isn't the most ergonomic API, and required a larger API surface (``np.floating`` and friends). ``isdtype`` will be the new and canonical way to introspect dtypes. All it requires from a dtype is that ``_eq__`` is implemented and has the expected behavior when compared with other dtypes from the same library. Note that as part of the effort on NEP 52, some dtype aliases were removed and canonical Python and C names documented. See also `gh-17325 <https://github.com/numpy/numpy/issues/17325>`__ covering issues with NumPy's lack of a good API for this. ``copy`` keyword semantics ^^^^^^^^^^^^^^^^^^^^^^^^^^ The ``copy`` keyword in ``asarray`` and ``array`` will now support ``True``/``False``/``None`` with new meanings: - ``True`` - Always make a copy. - ``False`` - Never make a copy. If a copy is required a ``ValueError`` is raised. - ``None`` - A copy will only be made if it is necessary (previously ``False``). The ``copy`` keyword in ``astype`` will stick to its current meaning, because "never copy" when asking for a cast to a different dtype doesn't quite make sense. New function name aliases ^^^^^^^^^^^^^^^^^^^^^^^^^ In the Python API cleanup for NumPy 2.0 (see :ref:`NEP52`) we spent a lot of effort removing aliases. So introducing new aliases has to have a good rationale. In this case, it is needed in order to match other libraries. The main set of aliases added is for trigonometric functions, where the array API standard chose to follow C99 and other libraries in using ``acos``, ``asin`` etc. rather than ``arccos``, ``arcsin``, etc. NumPy usually also follows C99; it is not entirely clear why this naming choice was made many years ago. New keywords with overlapping semantics ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ Similarly to function name aliases, there are a couple of new keywords which have overlap with existing ones: - ``correction`` keyword for ``std`` and ``var`` (overlaps with ``ddof``) - ``stable`` keyword for ``sort`` and ``argsort`` (overlaps with ``kind``) The ``correction`` name is for clarity ("delta degrees of freedom" is not easy to understand) and ``stable`` is complementary to ``kind``, allowing a library to reserve the right to change/improve the stable and unstable sorting algorithms. New ``unique_*`` functions ^^^^^^^^^^^^^^^^^^^^^^^^^^ The ``unique`` function, with ``return_index``, ``return_inverse``, and ``return_counts`` arguments that influence the cardinality of the returned tuple, is replaced in the Array API by four respective functions: ``unique_all``, ``unique_counts``, ``unique_inverse``, and ``unique_values``. This new API helps to better anticipate the return object and support clearer typing. ``np.bool`` addition ^^^^^^^^^^^^^^^^^^^^ One of the aliases that used to live in NumPy but got removed was ``np.bool``. To comply with the Array API it got reintroduced with a different meaning, as now it points to NumPy's bool instead of a Python builtin. This change is a good idea and we were planning to make it anyway, because ``bool`` is a nicer name than ``bool_``. However, we may not have scheduled that reintroduction of the name for 2.0 perhaps if it had not been part of the array API standard. Related work ------------ The array API standard (`html docs <https://data-apis.org/array-api/2022.12/ >`__, `repository <https://github.com/data-apis/array-api/>`__) is the first related work; a lot of design discussion in its issue tracker may be relevant in case reasons for particular decisions need to be found. Downstream adoption from array-consuming libraries is actively happening at the moment, see for example: - scikit-learn `docs on array API support < https://scikit-learn.org/dev/modules/array_api.html>`__ and `PRs < https://github.com/scikit-learn/scikit-learn/pulls?q=is%3Aopen+is%3Apr+labe…>`__ and `issues < https://github.com/scikit-learn/scikit-learn/issues?q=is%3Aopen+is%3Aissue+… >`__ labeled with *Array API*. - SciPy `docs on array API support < http://scipy.github.io/devdocs/dev/api-dev/array_api.html>`__ and `PRs < https://github.com/scipy/scipy/pulls?q=is%3Aopen+is%3Apr+label%3A%22array+t… >`__ and `issues < https://github.com/scipy/scipy/issues?q=is%3Aopen+is%3Aissue+label%3A%22arr…>`__ labeled with *array types*. - Einops `docs on supported frameworks < https://einops.rocks/#supported-frameworks>`__ and `PR to implement array API standard support < https://github.com/arogozhnikov/einops/pull/261>`__. Other array libraries either already have support or are implementing support for the array API standard (in sync with the changes for NumPy 2.0, since they usually try to be as compatible to NumPy as possible). For example: - CuPy's `docs on array API support < https://docs.cupy.dev/en/stable/reference/array_api.html>`__ and `PRs labelled with array-api < https://github.com/cupy/cupy/pulls?q=is%3Aopen+is%3Apr+label%3Aarray-api >`__. - JAX: enhancement proposal `Scope of JAX NumPy & SciPy Wrappers < https://jax.readthedocs.io/en/latest/jep/18137-numpy-scipy-scope.html#axis-… >`__ and `PR with initial implementation < https://github.com/google/jax/pull/16099>`__. Implementation -------------- The tracking issue for Array API standard support (`gh-25076 <https://github.com/numpy/numpy/issues/25076>`__) records progress of implementing full support and links to related discussions. It lists all relevant PRs (merged and pending) that verify or provide array API support. As NEP 52 blends to some degree with this NEP, we can find some relevant implementations and discussion also on its tracking issue (`gh-23999 < https://github.com/numpy/numpy/issues/23999>`__). The PR that was merged as one of the first contained a new CI job that adds the `array-api-tests <https://github.com/data-apis/array-api-tests>`__ test suite. This way we had a better control over which batch of functions/aliases is being added each time, and be sure that the implementation conforms with the Array API standard (see `gh-25167 <https://github.com/numpy/numpy/pull/25167>`__). Then, we continued to merge one batch at the time, adding a specific API section. Below we list some of the more substantial ones, including some that we discussed in the previous sections of this NEP: - `gh-25167: MAINT: Add array-api-tests CI stage, add ndarray.__array_namespace__ <https://github.com/numpy/numpy/pull/25167>`__. - `gh-25088: API: Add Array API setops [Array API] < https://github.com/numpy/numpy/pull/25088>`__ - `gh-25155: API: Add matrix_norm, vector_norm, vecdot and matrix_transpose [Array API] <https://github.com/numpy/numpy/pull/25155>`__ - `gh-25080: API: Add and redefine numpy.bool [Array API] < https://github.com/numpy/numpy/pull/25080>`__ - `gh-25054: API: Introduce np.isdtype function [Array API] < https://github.com/numpy/numpy/pull/25054>`__ - `gh-25168: API: Introduce copy argument for np.asarray [Array API] < https://github.com/numpy/numpy/pull/25168>`__ Alternatives ------------ The alternatives to implementing support for the array API standard in NumPy's main namespace include: - one or more of the superseded NEPs, or - making ``ndarray.__array_namespace__()`` return a hidden namespace with compatible functions, - not implementing support for the array API standard at all. The superseded NEPs all have some drawbacks compared to the array API standard, and by now a lot of work has gone into the standard - as well as adoption by other key libraries. So those alternatives are not appealing. Given the amount of interest in this topic, doing nothing also is not appealing. The "hidden namespace" option would be a smaller change to this proposal. We prefer not to do that since it leads to duplicate implementations staying around, a more complex implementation (e.g., potential issues with static typing), and still having two flavors of essentially the same API. An alternative to removing ``numpy.array_api`` from NumPy is to keep it in its current place, since it is still useful - it is the best way to test if downstream code is actually portable between array libraries. This is a very reasonable alternative, however there is a slight preference for taking that module and turning it into a standalone package. Discussion ---------- References and footnotes ------------------------ .. [1] https://labs.quansight.org/blog/array-api-support-scikit-learn .. [2] https://labs.quansight.org/blog/scipy-array-api .. [3] A. Meurer et al., "Python Array API Standard: Toward Array Interoperability in the Scientific Python Ecosystem." (2023), https://conference.scipy.org/proceedings/scipy2023/pdfs/aaron_meurer.pdf .. [4] https://numpy.org/user-survey-2020/, 2020 NumPy User Survey results Copyright --------- This document has been placed in the public domain.

2 1

ENH: Efficient operations on already sorted arrays
by Yağız Ölmez Jan. 16, 2024

Jan. 16, 2024

Dear Numpy Community It has come to my attention that there is no function in Numpy to merge two sorted arrays. There was a request for it in 2014, but it did not go anywhere: https://github.com/numpy/numpy/issues/5000 I have come across this package by Frank Sauerburger, which implements this and many other operations on sorted arrays: https://gitlab.sauerburger.com/frank/sortednp This package is distributed under MIT License, so it can be merged into Numpy. Please let me know what you think! Best Yagiz Olmez

2 1

ANN: SciPy 1.12.0rc2 -- please test
by Tyler Reddy Jan. 12, 2024

Jan. 12, 2024

Hi all, On behalf of the SciPy development team I'm pleased to announce the release candidate SciPy 1.12.0rc2. Please help us test this pre-release. Sources and binary wheels can be found at: https://pypi.org/project/SciPy/ and at: https://github.com/scipy/scipy/releases/tag/v1.12.0rc2 One of a few ways to install the release candidate with pip: pip install scipy==1.12.0rc2 ========================== SciPy 1.12.0 Release Notes ========================== Note: SciPy 1.12.0 is not released yet! SciPy 1.12.0 is the culmination of 6 months of hard work. It contains many new features, numerous bug-fixes, improved test coverage and better documentation. There have been a number of deprecations and API changes in this release, which are documented below. All users are encouraged to upgrade to this release, as there are a large number of bug-fixes and optimizations. Before upgrading, we recommend that users check that their own code does not use deprecated SciPy functionality (to do so, run your code with ``python -Wd`` and check for ``DeprecationWarning`` s). Our development attention will now shift to bug-fix releases on the 1.12.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.nnls` is rewritten in Python and now implements the so-called fnnls or fast nnls. - 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. - ``minimize`` method ``Newton-CG`` has been made slightly more efficient. - ``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``. - ``minimize`` methods ``CG``, ``Newton-CG``, and ``BFGS`` now accept parameters ``c1`` and ``c2``, allowing specification of the Armijo and curvature rule parameters, respectively. - ``curve_fit`` performance has improved due to more efficient memoization of the callable function. - ``isotonic_regression`` has been added to allow nonparametric isotonic regression. `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.wasserstein_distance` now computes the Wasserstein distance in the multidimensional case. - `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.cirmean, `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`. - The speed of `scipy.stats.invwishart` ``rvs`` and ``logpdf`` have been improved. - 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 ``stats.circmean``, ``stats.circvar``, ``stats.circstd``, and ``stats.entropy``. - ``dirichlet`` has gained a new covariance (``cov``) method. - Improved accuracy of ``multivariate_t`` entropy with large degrees of freedom. - ``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 1.14. 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 1.14. 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 ******* * Name (commits) * endolith (1) * h-vetinari (32) * Tom Adamczewski (3) + * Anudeep Adiraju (1) + * akeemlh (1) * Alex Amadori (2) + * Raja Yashwanth Avantsa (2) + * Seth Axen (1) + * Ross Barnowski (1) * Dan Barzilay (1) + * Ashish Bastola (1) + * Christoph Baumgarten (2) * Ben Beasley (3) + * Doron Behar (1) * Peter Bell (1) * Sebastian Berg (1) * Ben Boeckel (1) + * David Boetius (1) + * Matt Borland (1) * Jake Bowhay (103) * Larry Bradley (1) + * Dietrich Brunn (5) * Evgeni Burovski (102) * Matthias Bussonnier (18) * CJ Carey (6) * Colin Carroll (1) + * Aadya Chinubhai (1) + * Luca Citi (1) * Lucas Colley (141) + * com3dian (1) + * Anirudh Dagar (4) * Danni (1) + * Dieter Werthmüller (1) * John Doe (2) + * Philippe DONNAT (2) + * drestebon (1) + * Thomas Duvernay (1) * elbarso (1) + * emilfrost (2) + * Paul Estano (8) + * Evandro (2) * Franz Király (1) + * Nikita Furin (1) + * gabrielthomsen (1) + * Lukas Geiger (9) + * Artem Glebov (22) + * Caden Gobat (1) * Ralf Gommers (126) * Alexander Goscinski (2) + * Rohit Goswami (2) + * Olivier Grisel (1) * Matt Haberland (243) * Charles Harris (1) * harshilkamdar (1) + * Alon Hovav (2) + * Gert-Ludwig Ingold (1) * Romain Jacob (1) + * jcwhitehead (1) + * Julien Jerphanion (13) * He Jia (1) * JohnWT (1) + * jokasimr (1) + * Evan W Jones (1) * Karen Róbertsdóttir (1) + * Ganesh Kathiresan (1) * Robert Kern (11) * Andrew Knyazev (4) * Uwe L. Korn (1) + * Rishi Kulkarni (1) * Kale Kundert (3) + * Jozsef Kutas (2) * Kyle0 (2) + * Robert Langefeld (1) + * Jeffrey Larson (1) + * Jessy Lauer (1) + * lciti (1) + * Hoang Le (1) + * Antony Lee (5) * Thilo Leitzbach (4) + * LemonBoy (2) + * Ellie Litwack (8) + * Thomas Loke (4) + * Malte Londschien (1) + * Christian Lorentzen (6) * Adam Lugowski (10) + * lutefiskhotdish (1) * mainak33 (1) + * Ben Mares (11) + * mart-mihkel (2) + * Mateusz Sokół (24) + * Nikolay Mayorov (4) * Nicholas McKibben (1) * Melissa Weber Mendonça (7) * Michał Górny (1) * Kat Mistberg (2) + * mkiffer (1) + * mocquin (1) + * Nicolas Mokus (2) + * Sturla Molden (1) * Roberto Pastor Muela (3) + * Bijay Nayak (1) + * Andrew Nelson (105) * Praveer Nidamaluri (3) + * Lysandros Nikolaou (2) * Dimitri Papadopoulos Orfanos (7) * Pablo Rodríguez Pérez (1) + * Dimitri Papadopoulos (2) * Tirth Patel (14) * Kyle Paterson (1) + * Paul (4) + * Yann Pellegrini (2) + * Matti Picus (4) * Ilhan Polat (36) * Pranav (1) + * Bharat Raghunathan (1) * Chris Rapson (1) + * Matteo Raso (4) * Tyler Reddy (201) * Martin Reinecke (1) * Tilo Reneau-Cardoso (1) + * resting-dove (2) + * Simon Segerblom Rex (4) * Lucas Roberts (2) * Pamphile Roy (31) * Feras Saad (3) + * Atsushi Sakai (3) * Masahiro Sakai (2) + * Omar Salman (14) * Andrej Savikin (1) + * Daniel Schmitz (54) * Dan Schult (19) * Scott Shambaugh (9) * Sheila-nk (2) + * Mauro Silberberg (3) + * Maciej Skorski (1) + * Laurent Sorber (1) + * Albert Steppi (28) * Kai Striega (1) * Saswat Susmoy (1) + * Alex Szatmary (1) + * Søren Fuglede Jørgensen (3) * othmane tamri (3) + * Ewout ter Hoeven (1) * Will Tirone (1) * TLeitzbach (1) + * Kevin Topolski (1) + * Edgar Andrés Margffoy Tuay (1) * Dipansh Uikey (1) + * Matus Valo (3) * Christian Veenhuis (2) * Nicolas Vetsch (1) + * Isaac Virshup (7) * Hielke Walinga (2) + * 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 ************************ 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\` * `#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 Checksums ========= MD5 ~~~ 7fd058ac63a3f17f2b19f74e9e8564e2 Changelog 837abb12431494a08253c32bb0245521 README.txt 1f66562acf5d69b2921be8cf06ea4655 scipy-1.12.0rc2-cp310-cp310-macosx_10_9_x86_64.whl 74b965206a3db16ba76f81835e8f2173 scipy-1.12.0rc2-cp310-cp310-macosx_12_0_arm64.whl aa697ac80a1cced45890089f36d1835e scipy-1.12.0rc2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl 931e8e217adaa56d7f3628b9d6f9863d scipy-1.12.0rc2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl c77b175a13f2daddb0aeb9752e4edf80 scipy-1.12.0rc2-cp310-cp310-musllinux_1_1_x86_64.whl fd841e2d2a26fa9290f70f970f3797ad scipy-1.12.0rc2-cp310-cp310-win_amd64.whl 7020fb43647101b18afcee6e6cac7f63 scipy-1.12.0rc2-cp311-cp311-macosx_10_9_x86_64.whl 2585cfbc29dd9194bbdb9ccd2a6ce5d4 scipy-1.12.0rc2-cp311-cp311-macosx_12_0_arm64.whl ed544412afadfbdd52ed75e18862d5d2 scipy-1.12.0rc2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl fa94fc63ca0377e7e9fe86391e599377 scipy-1.12.0rc2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl e26130f69af3e660d7a24eab2d5fb208 scipy-1.12.0rc2-cp311-cp311-musllinux_1_1_x86_64.whl a6dc5c0edc64394eb9331b12c34cef12 scipy-1.12.0rc2-cp311-cp311-win_amd64.whl a7f93100af21af0998a57125cf25e82d scipy-1.12.0rc2-cp312-cp312-macosx_10_9_x86_64.whl 114616a851ec0ca243b8176e7959346d scipy-1.12.0rc2-cp312-cp312-macosx_12_0_arm64.whl 953378ce29dfb58faa678efb36e85118 scipy-1.12.0rc2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl 22bec8ab7a358060e4c1014d25192d80 scipy-1.12.0rc2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl 97ee9ed0065ff753abc304fae7fdedd0 scipy-1.12.0rc2-cp312-cp312-musllinux_1_1_x86_64.whl eb22f5107794d47a8de221dc3956e3c8 scipy-1.12.0rc2-cp312-cp312-win_amd64.whl 94acb0de5b6319a4cd1817a4b13c1d08 scipy-1.12.0rc2-cp39-cp39-macosx_10_9_x86_64.whl d12bcde6a138a98f14d6ecc343054be0 scipy-1.12.0rc2-cp39-cp39-macosx_12_0_arm64.whl 20e0eae99bd226ba62813b097c988a13 scipy-1.12.0rc2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl fe878e467e59ccad86816bf98fd1b02f scipy-1.12.0rc2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl 591c22eeff6121cbd92063eb001eb5f6 scipy-1.12.0rc2-cp39-cp39-musllinux_1_1_x86_64.whl b1c44469cb2805ccda1a461b0ba9de7b scipy-1.12.0rc2-cp39-cp39-win_amd64.whl SHA256 ~~~~~~ cc368fa257e05b8fcd8e09312b39a12bef625f762c1059f0e57b80d53d82361f Changelog 352f089260fb9f3e9a38a4f720599a4ca87e9b048df2783b2b7fd96b3e195ab0 README.txt ca2c97e5168f7d8abd3bf7c97173a31cb11b9e4ea13f2e5a347116d48fcb1f77 scipy-1.12.0rc2-cp310-cp310-macosx_10_9_x86_64.whl 0072285f331ee0dd8febf3b303e6142968658fd76b0067a14a93a3f128d963ec scipy-1.12.0rc2-cp310-cp310-macosx_12_0_arm64.whl 56445914193dc058ecc29f658da16120e8f86addb61833df7c49eefb7a52ffd0 scipy-1.12.0rc2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl f12c3c5b8bf23c79957ce29adccdb5bb6b86f205c5a5bdb814b47732660dede7 scipy-1.12.0rc2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl 795b11d0a6163045e06ae8a6a168bba29746da9e77a66dc65b9760d70cde7d9b scipy-1.12.0rc2-cp310-cp310-musllinux_1_1_x86_64.whl 7a967d58d9fa7aea5c8811dd312605a25771bd4fe4914d63239f7f533bc34386 scipy-1.12.0rc2-cp310-cp310-win_amd64.whl 49136afe4f06981f36053850f6184f3e9a5d4e2a9009cabd534ad312ecba8b6b scipy-1.12.0rc2-cp311-cp311-macosx_10_9_x86_64.whl f07a1e36b0793d04bb91bfa672eff2a00770838edd1aa31d1926d4b3c661a003 scipy-1.12.0rc2-cp311-cp311-macosx_12_0_arm64.whl 90b01737edbad94bc0b0e7ffc0ff87d73f5f459d0a34bff03b31453a2e911804 scipy-1.12.0rc2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl 93d1c968e00229494cfd453fe1fb298c44647db67f038b845fc8a249e0a84168 scipy-1.12.0rc2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl 97e0cad281ac6a86a3f88d25b8c543e3426f8c6f88a2e40055b5e0505947748f scipy-1.12.0rc2-cp311-cp311-musllinux_1_1_x86_64.whl 4a2d7dd8cc6f98fbee502b1b18280e86043cff6f1bf18d4cf2bb7f23ae3ba520 scipy-1.12.0rc2-cp311-cp311-win_amd64.whl 694388d6763af08e3c29d87ec84839934a13dc19b31bbeaa1484c3e9452b4aee scipy-1.12.0rc2-cp312-cp312-macosx_10_9_x86_64.whl e5c28c9b18725200b6b9754039e3b23f7e9947b5551077d9cc95f243fca9b769 scipy-1.12.0rc2-cp312-cp312-macosx_12_0_arm64.whl f6fb89cb3849ca454ec8d0489596e42fd256cc7d7ab3e5939238163ce8c4e942 scipy-1.12.0rc2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl 36cfa3515bb49098368c7890761af5c2334b49c7f54e4ecca2e9b2488322d458 scipy-1.12.0rc2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl 027a2bd5090c4924dd2b9196533b1be97d8f09bf8a1f520c66f341bd745db139 scipy-1.12.0rc2-cp312-cp312-musllinux_1_1_x86_64.whl bac6d672e087ceeccbeec841bd3fc4290dd712076b0bea7ffed23efa785fec7c scipy-1.12.0rc2-cp312-cp312-win_amd64.whl 6c24b1dfadc785187c63b8216d1520c064a934fd5730946195444a5cd7a16d6a scipy-1.12.0rc2-cp39-cp39-macosx_10_9_x86_64.whl 50b7fbd78e7dd4de3152c069d63c0ee27dd5cb38e29dc51b80e836c17442bfcc scipy-1.12.0rc2-cp39-cp39-macosx_12_0_arm64.whl 97d452350771a278d0a61908d85c1ef423f4afaf4c949bf106bae80ea516785c scipy-1.12.0rc2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl 351b28ab4f781c86aa9bf31ea3d95d37309827451c02c2b92e682473115deaeb scipy-1.12.0rc2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl 9c16b795e9d50404cabd8eecc1d6ee764b7cb68f5397970042db453e2ad92199 scipy-1.12.0rc2-cp39-cp39-musllinux_1_1_x86_64.whl f51713460369a6d4ef8a7a4d6c576a93f66e18fd8ef8372a0c9ab29483ce55fd scipy-1.12.0rc2-cp39-cp39-win_amd64.whl

1 0