SciPy 1.15.0 Release Notes#
SciPy 1.15.0 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
1.15.x branch, and on adding new features on the main branch.
This release requires Python 3.10-3.13 and NumPy 1.23.5 or greater.
Highlights of this release#
Sparse arrays are now fully functional for 1-D and 2-D arrays. We recommend that all new code use sparse arrays instead of sparse matrices and that developers start to migrate their existing code from sparse matrix to sparse array: Migration from spmatrix to sparray. Both
sparse.linalgandsparse.csgraphwork with either sparse matrix or sparse array and work internally with sparse array.Sparse arrays now provide basic support for n-D arrays in the COO format including
add,subtract,reshape,transpose,matmul,dot,tensordotand others. More functionality is coming in future releases.Preliminary support for free-threaded Python 3.13.
New probability distribution features in
scipy.statscan be used to improve the speed and accuracy of existing continuous distributions and perform new probability calculations.Several new features support vectorized calculations with Python Array API Standard compatible input (see “Array API Standard Support” below):
scipy.differentiateis a new top-level submodule for accurate estimation of derivatives of black box functions.scipy.optimize.elementwisecontains new functions for root-finding and minimization of univariate functions.scipy.integrateoffers new functionscubature,tanhsinh, andnsumfor multivariate integration, univariate integration, and univariate series summation, respectively.
scipy.interpolate.AAAadds the AAA algorithm for barycentric rational approximation of real or complex functions.scipy.specialadds new functions offering improved Legendre function implementations with a more consistent interface.
New features#
scipy.differentiate introduction#
The new scipy.differentiate sub-package contains functions for accurate
estimation of derivatives of black box functions.
Use
scipy.differentiate.derivativefor first-order derivatives of scalar-in, scalar-out functions.Use
scipy.differentiate.jacobianfor first-order partial derivatives of vector-in, vector-out functions.Use
scipy.differentiate.hessianfor second-order partial derivatives of vector-in, scalar-out functions.
All functions use high-order finite difference rules with adaptive (real) step size. To facilitate batch computation, these functions are vectorized and support several Array API compatible array libraries in addition to NumPy (see “Array API Standard Support” below).
scipy.integrate improvements#
The new
scipy.integrate.cubaturefunction supports multidimensional integration, and has support for approximating integrals with one or more sets of infinite limits.scipy.integrate.tanhsinhis now exposed for public use, allowing evaluation of a convergent integral using tanh-sinh quadrature.scipy.integrate.nsumevaluates finite and infinite series and their logarithms.scipy.integrate.lebedev_rulecomputes abscissae and weights for integration over the surface of a sphere.The
QUADPACKFortran77 package has been ported to C.
scipy.interpolate improvements#
scipy.interpolate.AAAadds the AAA algorithm for barycentric rational approximation of real or complex functions.scipy.interpolate.FloaterHormannInterpolatoradds barycentric rational interpolation.New functions
scipy.interpolate.make_splrepandscipy.interpolate.make_splprepimplement construction of smoothing splines. The algorithmic content is equivalent to FITPACK (splrepandsplprepfunctions, and*UnivariateSplineclasses) and the user API is consistent withmake_interp_spline: these functions receive data arrays and return ascipy.interpolate.BSplineinstance.New generator function
scipy.interpolate.generate_knotsimplements the FITPACK strategy for selecting knots of a smoothing spline given the smoothness parameter,s. The function exposes the internal logic of knot selection thatsplrepand*UnivariateSplinewas using.
scipy.linalg improvements#
scipy.linalg.interpolativeFortran77 code has been ported to Cython.scipy.linalg.solvesupports several new values for theassume_aargument, enabling faster computation for diagonal, tri-diagonal, banded, and triangular matrices. Also, whenassume_ais left unspecified, the function now automatically detects and exploits diagonal, tri-diagonal, and triangular structures.scipy.linalgmatrix creation functions (scipy.linalg.circulant,scipy.linalg.companion,scipy.linalg.convolution_matrix,scipy.linalg.fiedler,scipy.linalg.fiedler_companion, andscipy.linalg.leslie) now support batch matrix creation.scipy.linalg.funmis faster.scipy.linalg.orthogonal_procrustesnow supports complex input.Wrappers for the following LAPACK routines have been added in
scipy.linalg.lapack:?lantr,?sytrs,?hetrs,?trcon, and?gtcon.scipy.linalg.expmwas rewritten in C.scipy.linalg.null_spacenow accepts the new argumentsoverwrite_a,check_finite, andlapack_driver.id_distFortran code was rewritten in Cython.
scipy.ndimage improvements#
Several additional filtering functions now support an
axesargument that specifies which axes of the input filtering is to be performed on. These includecorrelate,convolve,generic_laplace,laplace,gaussian_laplace,derivative2,generic_gradient_magnitude,gaussian_gradient_magnitudeandgeneric_filter.The binary and grayscale morphology functions now support an
axesargument that specifies which axes of the input filtering is to be performed on.scipy.ndimage.rank_filtertime complexity has improved fromntolog(n).
scipy.optimize improvements#
The vendored HiGHS library has been upgraded from
1.4.0to1.8.0, bringing accuracy and performance improvements to solvers.The
MINPACKFortran77 package has been ported to C.The
L-BFGS-BFortran77 package has been ported to C.The new
scipy.optimize.elementwisenamespace includes functionsbracket_root,find_root,bracket_minimum, andfind_minimumfor root-finding and minimization of univariate functions. To facilitate batch computation, these functions are vectorized and support several Array API compatible array libraries in addition to NumPy (see “Array API Standard Support” below). Compared to existing functions (e.g.scipy.optimize.root_scalarandscipy.optimize.minimize_scalar), these functions can offer speedups of over 100x when used with NumPy arrays, and even greater gains are possible with other Array API Standard compatible array libraries (e.g. CuPy).scipy.optimize.differential_evolutionnow supports more general use ofworkers, such as passing a map-like callable.scipy.optimize.nnlswas rewritten in Cython.HessianUpdateStrategynow supports__matmul__.
scipy.signal improvements#
Add functionality of complex-valued waveforms to
signal.chirp().scipy.signal.lombscarglehas two new arguments,weightsandfloating_mean, enabling sample weighting and removal of an unknown y-offset independently for each frequency. Additionally, thenormalizeargument includes a new option to return the complex representation of the amplitude and phase.New function
scipy.signal.envelopefor computation of the envelope of a real or complex valued signal.
scipy.sparse improvements#
A migration guide is now available for moving from sparse.matrix to sparse.array in your code/library.
Sparse arrays now support indexing for 1-D and 2-D arrays. So, sparse arrays are now fully functional for 1-D and 2D.
n-D sparse arrays in COO format can now be constructed, reshaped and used for basic arithmetic.
New functions
sparse.linalg.is_sptriangularandsparse.linalg.spbandwidthmimic the existing dense toolslinalg.is_triangularandlinalg.bandwidth.sparse.linalgandsparse.csgraphnow work with sparse arrays. Be careful that your index arrays are 32-bit. We are working on 64bit support.The vendored
ARPACKlibrary has been upgraded to version3.9.1.COO, CSR, CSC and LIL formats now support the
axisargument forcount_nonzero.Sparse arrays and matrices may now raise errors when initialized with incompatible data types, such as
float16.min,max,argmin, andargmaxnow support computation over nonzero elements only via the newexplicitargument.New functions
get_index_dtypeandsafely_cast_index_arraysare available to facilitate index array casting insparse.
scipy.spatial improvements#
Rotation.concatenatenow accepts a bareRotationobject, and will return a copy of it.
scipy.special improvements#
New functions offering improved Legendre function implementations with a more consistent interface. See respective docstrings for more information.
The factorial functions
special.{factorial,factorial2,factorialk}now offer an extension to the complex domain by passing the kwargextend='complex'. This is opt-in because it changes the values for negative inputs (which by default return 0), as well as for some integers (in the case offactorial2andfactorialk; for more details, check the respective docstrings).scipy.special.zetanow defines the Riemann zeta function on the complex plane.scipy.special.softpluscomputes the softplus functionThe spherical Bessel functions (
scipy.special.spherical_jn,scipy.special.spherical_yn,scipy.special.spherical_in, andscipy.special.spherical_kn) now support negative arguments with real dtype.scipy.special.logsumexpnow preserves precision when one element of the sum has magnitude much bigger than the rest.The accuracy of several functions has been improved:
scipy.special.ncfdtr,scipy.special.nctdtr, andscipy.special.gdtribhave been improved throughout the domain.scipy.special.hyperuis improved for the case ofb=1, smallx, and smalla.scipy.special.logitis improved near the argumentp=0.5.scipy.special.rel_entris improved whenx/yoverflows, underflows, or is close to1.
scipy.special.ndtris now more efficient forsqrt(2)/2 < |x| < 1.
scipy.stats improvements#
A new probability distribution infrastructure has been added for the implementation of univariate, continuous distributions. It has several speed, accuracy, memory, and interface advantages compared to the previous infrastructure. See Random Variable Transition Guide for a tutorial.
Use
scipy.stats.make_distributionto treat an existing continuous distribution (e.g.scipy.stats.norm) with the new infrastructure. This can improve the speed and accuracy of existing distributions, especially those with methods not overridden with distribution-specific formulas.scipy.stats.Normalandscipy.stats.Uniformare pre-defined classes to represent the normal and uniform distributions, respectively. Their interfaces may be faster and more convenient than those produced bymake_distribution.scipy.stats.Mixturecan be used to represent mixture distributions.
Instances of
scipy.stats.Normal,scipy.stats.Uniform, and the classes returned byscipy.stats.make_distributionare supported by several new mathematical transformations.scipy.stats.truncatefor truncation of the support.scipy.stats.order_statisticfor the order statistics of a given number of IID random variables.scipy.stats.abs,scipy.stats.exp, andscipy.stats.log. For example,scipy.stats.abs(Normal())is distributed according to the folded normal andscipy.stats.exp(Normal())is lognormally distributed.
The new
scipy.stats.lmomentcalculates sample l-moments and l-moment ratios. Notably, these sample estimators are unbiased.scipy.stats.chatterjeexicomputes the Xi correlation coefficient, which can detect nonlinear dependence. The function also performs a hypothesis test of independence between samples.scipy.stats.wilcoxonhas improved method resolution logic for the defaultmethod='auto'. Other values ofmethodprovided by the user are now respected in all cases, and the method argumentapproxhas been renamed toasymptoticfor consistency with similar functions. (Use ofapproxis still allowed for backward compatibility.)There are several new probability distributions:
scipy.stats.dpareto_lognormrepresents the double Pareto lognormal distribution.scipy.stats.landaurepresents the Landau distribution.scipy.stats.normal_inverse_gammarepresents the normal-inverse-gamma distribution.scipy.stats.poisson_binomrepresents the Poisson binomial distribution.
Batch calculation with
scipy.stats.alexandergovernandscipy.stats.combine_pvaluesis faster.scipy.stats.chisquareadded an argumentsum_check. By default, the function raises an error when the sum of expected and obseved frequencies are not equal; settingsum_check=Falsedisables this check to facilitate hypothesis tests other than Pearson’s chi-squared test.The accuracy of several distribution methods has been improved, including:
scipy.stats.nctmethodpdfscipy.stats.crystalballmethodsfscipy.stats.geommethodrvsscipy.stats.cauchymethodslogpdf,pdf,ppfandisfThe
logcdfand/orlogsfmethods of distributions that do not override the generic implementation of these methods, includingscipy.stats.beta,scipy.stats.betaprime,scipy.stats.cauchy,scipy.stats.chi,scipy.stats.chi2,scipy.stats.exponweib,scipy.stats.gamma,scipy.stats.gompertz,scipy.stats.halflogistic,scipy.stats.hypsecant,scipy.stats.invgamma,scipy.stats.laplace,scipy.stats.levy,scipy.stats.loggamma,scipy.stats.maxwell,scipy.stats.nakagami, andscipy.stats.t.
scipy.stats.qmc.PoissonDisknow accepts lower and upper bounds parametersl_boundsandu_bounds.scipy.stats.fisher_exactnow supports two-dimensional tables with shapes other than(2, 2).
Preliminary Support for Free-Threaded CPython 3.13#
SciPy 1.15 has preliminary support for the free-threaded build of CPython
3.13. This allows SciPy functionality to execute in parallel with Python
threads
(see the threading stdlib module). This support was enabled by fixing a
significant number of thread-safety issues in both pure Python and
C/C++/Cython/Fortran extension modules. Wheels are provided on PyPI for this
release; NumPy >=2.1.3 is required at runtime. Note that building for a
free-threaded interpreter requires a recent pre-release or nightly for Cython
3.1.0.
Support for free-threaded Python does not mean that SciPy is fully thread-safe. Please see Thread Safety in SciPy for more details.
If you are interested in free-threaded Python, for example because you have a
multiprocessing-based workflow that you are interested in running with Python
threads, we encourage testing and experimentation. If you run into problems
that you suspect are because of SciPy, please open an issue, checking first if
the bug also occurs in the “regular” non-free-threaded CPython 3.13 build.
Many threading bugs can also occur in code that releases the GIL; disabling
the GIL only makes it easier to hit threading bugs.
Array API Standard Support#
Experimental support for array libraries other than NumPy has been added to
existing sub-packages in recent versions of SciPy. Please consider testing
these features by setting an environment variable SCIPY_ARRAY_API=1 and
providing PyTorch, JAX, ndonnx, or CuPy arrays as array arguments. Features
with support added for SciPy 1.15.0 include:
All functions in
scipy.differentiate(new sub-package)All functions in
scipy.optimize.elementwise(new namespace)scipy.optimize.rosen,scipy.optimize.rosen_der, andscipy.optimize.rosen_hessscipy.integrate.tanhsinh(newly public function)scipy.integrate.cubature(new function)scipy.integrate.nsum(new function)scipy.special.chdtr,scipy.special.betainc, andscipy.special.betainccscipy.stats.zmap,scipy.stats.zscore, andscipy.stats.gzscorescipy.stats.tmean,scipy.stats.tvar,scipy.stats.tstd,scipy.stats.tsem,scipy.stats.tmin, andscipy.stats.tmaxscipy.ndimagefunctions will now delegate tocupyx.scipy.ndimage, and for other backends will transit via NumPy arrays on the host.
Deprecated features and future changes#
Functions
scipy.linalg.interpolative.randandscipy.linalg.interpolative.seedhave been deprecated and will be removed in SciPy1.17.0.Complex inputs to
scipy.spatial.distance.cosineandscipy.spatial.distance.correlationhave been deprecated and will raise an error in SciPy1.17.0.scipy.spatial.distance.kulczynski1andscipy.spatial.distance.sokalmichenerwere deprecated and will be removed in SciPy1.17.0.scipy.stats.find_repeatsis deprecated and will be removed in SciPy1.17.0. Please usenumpy.unique/numpy.unique_countsinstead.scipy.linalg.kronis deprecated in favour ofnumpy.kron.Using object arrays and longdouble arrays in
scipy.signalconvolution/correlation functions (scipy.signal.correlate,scipy.signal.convolveandscipy.signal.choose_conv_method) and filtering functions (scipy.signal.lfilter,scipy.signal.sosfilt) has been deprecated and will be removed in SciPy1.17.0.scipy.stats.linregresshas deprecated one-argument use; the two variables must be specified as separate arguments.scipy.stats.trapzis deprecated in favor ofscipy.stats.trapezoid.scipy.special.lpnis deprecated in favor ofscipy.special.legendre_p_all.scipy.special.lpmnandscipy.special.clpmnare deprecated in favor ofscipy.special.assoc_legendre_p_all.scipy.special.sph_harmhas been deprecated in favor ofscipy.special.sph_harm_y.Multi-dimensional
randcarrays passed toscipy.linalg.toeplitz,scipy.linalg.matmul_toeplitz, orscipy.linalg.solve_toeplitzwill be treated as batches of 1-D coefficients beginning in SciPy1.17.0.The
random_stateandpermutationsarguments ofscipy.stats.ttest_indare deprecated. Usemethodto perform a permutation test, instead.
Expired Deprecations#
The wavelet functions in
scipy.signalhave been removed. This includesdaub,qmf,cascade,morlet,morlet2,ricker, andcwt. Users should usepywaveletsinstead.scipy.signal.cmplx_sorthas been removed.scipy.integrate.quadratureandscipy.integrate.romberghave been removed in favour ofscipy.integrate.quad.scipy.stats.rvs_ratio_uniformshas been removed in favor ofscipy.stats.sampling.RatioUniforms.scipy.special.factorialnow raises an error for non-integer scalars whenexact=True.scipy.integrate.cumulative_trapezoidnow raises an error for values ofinitialother than0andNone.Complex dtypes now raise an error in
scipy.interpolate.Akima1DInterpolatorandscipy.interpolate.PchipInterpolatorspecial.btdtrandspecial.btdtrihave been removed.The default of the
exact=kwarg inspecial.factorialkhas changed fromTruetoFalse.All functions in the
scipy.miscsubmodule have been removed.
Backwards incompatible changes#
interpolate.BSpline.integrateoutput is now always a numpy array. Previously, for 1D splines the output was a python float or a 0D array depending on the value of theextrapolateargument.scipy.stats.wilcoxonnow respects themethodargument provided by the user. Previously, even ifmethod='exact'was specified, the function would resort tomethod='approx'in some cases.scipy.integrate.AccuracyWarninghas been removed as the functions the warning was emitted from (scipy.integrate.quadratureandscipy.integrate.romberg) have been removed.
Other changes#
A separate accompanying type stubs package,
scipy-stubs, will be made available with the1.15.0release. Installation instructions are available.scipy.stats.bootstrapnow emits aFutureWarningif the shapes of the input arrays do not agree. Broadcast the arrays to the same batch shape (i.e. for all dimensions except those specified by theaxisargument) to avoid the warning. Broadcasting will be performed automatically in the future.SciPy endorsed SPEC-7, which proposes a
rngargument to control pseudorandom number generation (PRNG) in a standard way, replacing legacy arguments likeseedandrandom_sate. In many cases, use ofrngwill change the behavior of the function unless the argument is already an instance ofnumpy.random.Generator.Effective in SciPy
1.15.0:The
rngargument has been added to the following functions:scipy.cluster.vq.kmeans,scipy.cluster.vq.kmeans2,scipy.interpolate.BarycentricInterpolator,scipy.interpolate.barycentric_interpolate,scipy.linalg.clarkson_woodruff_transform,scipy.optimize.basinhopping,scipy.optimize.differential_evolution,scipy.optimize.dual_annealing,scipy.optimize.check_grad,scipy.optimize.quadratic_assignment,scipy.sparse.random,scipy.sparse.random_array,scipy.sparse.rand,scipy.sparse.linalg.svds,scipy.spatial.transform.Rotation.random,scipy.spatial.distance.directed_hausdorff,scipy.stats.goodness_of_fit,scipy.stats.BootstrapMethod,scipy.stats.PermutationMethod,scipy.stats.bootstrap,scipy.stats.permutation_test,scipy.stats.dunnett, allscipy.stats.qmcclasses that consume random numbers, andscipy.stats.sobol_indices.When passed by keyword, the
rngargument will follow the SPEC 7 standard behavior: the argument will be normalized withnp.random.default_rngbefore being used.When passed by position or legacy keyword, the behavior of the argument will remain unchanged (for now).
It is planned that in
1.17.0the legacy argument will start emitting warnings, and that in1.19.0the default behavior will change.In all cases, users can avoid future disruption by proactively passing an instance of
np.random.Generatorby keywordrng. For details, see SPEC-7.
The SciPy build no longer adds
-std=legacyfor Fortran code, except when using Gfortran. This avoids problems with the new Flang and AMD Fortran compilers. It may make new build warnings appear for other compilers - if so, please file an issue.scipy.signal.sosfreqzhas been renamed toscipy.signal.freqz_sos. New code should use the new name. The old name is maintained as an alias for backwards compatibility.Testing thread-safety improvements related to Python
3.13thave been made in:scipy.special,scipy.spatial,scipy.sparse,scipy.interpolate.
Issues closed for 1.15.0#
#2011: DEP: spatial: ‘sokalmichener’ and ‘rogerstanimoto’ distances…
#2035: ENH: Add methods to compute derivatives (Trac #1510)
#2116: Cholesky decomposition - are elements in the ‘other’ triangle…
#2162: MAINT: signal:
lombscargleis unclear about normalisation…#2509: distributions cdf, sf evaluation in the wrong tail
#4096: DOC: special: Clarify Mathieu function documentation
#4275: BUG: linalg.interpolative: svd integer overflow
#4517: MAINT: special.hankel2:
(0, 0)delivers (nan+nan*j) instead…#4538: alternative parametrizations of univariate distributions
#4708: ENH: linalg.funm: a possible speed-up
#4952: DOC: stats: improvement suggestions for tutorial
#5818: Clarify definition of preconditioner for sparse linear system…
#6528: ENH: stats: Add Normal-inverse-gamma distribution
#7099: ENH:
stats.fisher_exact: support tables larger than 2x2#7242: ENH: implement at least one good robust scalar root-finding algorithm…
#8053: Random variate distribution random_state set after init does…
#8307: scipy.sparse.linalg.eigs gives incorrect largest magnitude eigenvalue
#8344: BUG: special.nctdtr: incorrect results
#8362: a function to convert a matrix into diagonal ordered form (ab)…
#8787: BUG: signal.lombscargle: raises
ZeroDivisionError#8888: MAINT: special.gegenbauer: case of
alpha = 0not handled#9249: BUG: linalg:
test_interpolative::TestInterpolativeDecomposition::test_id…#9321: Easy access to scipy.stat.<distributionName> frozen distribution…
#9509: BUG: special:
test_kolmogorovfails on 32-bit platforms#10106: Slow random variate generation in scipy.stats
#10328: DOC: stats: documentation is not distribution-specific
#10364: Add Double Pareto-Lognormal Distribution
#10374: ENH: make ARPACK-NG deterministic
#11341: MAINT: constants: disparate electric permittivity constants
#11465: Numerical stability of distributions: Add log_p as argument to…
#11649: trust-constr error when attempting to keep bound constrained…
#12019: scipy.linalg.orthogonal_procrustes
#12282: API: stats.chisquare: must observed and expected frequencies…
#12367: Allow whitespace alignment of tables of numbers?
#12593: BUG: linalg:
estimate_rankis quite unreliable#12651: BUG: cluster:
fclusterassigning all points to a single cluster…#12662: Complex numpy exponentiation, nan, and/or inf causes segfault…
#12895: BUG:
special.riccati_yn: Definition missing minus sign#13019: TST, MAINT: test_maxiter_worsening on Python 3.9 + Linux ARM64
#13137: BUG: linalg.schur: bug sorting complex eigenvalues in real form
#13504: TST: stats: test distribution
supportmethod behavior for…#13643: BUG: signal.sepfir2d: fails with complex input on Windows
#13986: Distributions cannot be freed by garbage collector due to self-references
#14304: Jaccard distance greater than 1 if elements are strings
#14467: DOC: constants: explain
0.0uncertainty#14582: BUG:
special.spherical_jn: Negative arguments lead to nans#14788: DOC:
linalg.hankel: clarify that first entry ofris…#14895: ENH: All statistical distributions in scipy.stats should have…
#14945: BUG: Overflows/NaNs cause segfault in integrate.quad on certain…
#15012: ENH:
linalg.cholesky: document that user is responsible…#15016: BUG: linalg.schur: sorting by imaginary part does not work for…
#15021: scipy.linalg.qr with pivoting=True should return P as (N,N) permutation…
#15533: BUG: test failure in
test_x0_equals_Mbwithbicgstab#15582: BUG:
special.ncfdtr(dfn, dfd, nc, f)andstats.ncf.cdf(x,…#15620: BUG: signal.resample_poly returns an array consisting only of…
#15888: BUG: linprog, with highs is killed by the OOM killer when called…
#15896: Compiled code coverage with
--gcovdoesn’t work with Meson#15915: ENH: optimize: object-oriented interface to HiGHS
#16494: MAINT: Speed up some slow tests
#16531: DOC: Warnings/error in docstring examples.
#16700: BUG: segfault on i386 in special
test_kolmogorov.pyTestSmirnovp#17059: ENH: Robust and fast numerical derivative for error propagation
#17075: Test failures with Intel compilers
#17136: BUG: logm sometimes raises ZeroDivisionError for matrices with…
#17307: BUG: stats: frozen distribution domain error produced too late
#17344: ENH:
scipy.linalg.circulantshould allow batching#17385: BUG:
TestOnenormest.test_onenormest_table_6_t_1is failing…#17404: DOC: comparison of optimizers in optimization guide
#17494: MAINT: HiGHS build flag cleanup
#17571: ENH: Add units to scipy.constants description
#17905: ENH: Add softplus implementation
#18014: Potential use-after-free bug in
fcn_callback(Static Analyzer…#18250: BUG:
complex256type created by enteringcomplex128into…#18295: BUG: special: Loss of precision in
logsumexp#18367: RFC: Get rid of linalg.interpolative Fortran code
#18409: ENH: extensions of
factorial{,2,k}for complex domains, recurrences,…#18445: ENH: add a callback feature to minimize_scalar and root_scalar
#18879: BUG:
integrate.quad_vec: Fatal error when usingworkers…#18880: TST:
test_expm_multiply_dtypefailure on aarch64 (flaky test)#18882: BUG: minimize does not satisfy nonlinear constraint even if keep_feasible=True
#18907: BUG:
presolveoption inmilpcausing feasible problem…#18909: BUG: Cython3 linalg import order bug
#18945: BUG: circe-ci SVD-LOBPCG benchmarks do not check accuracy so…
#19042: DOC: sparse: BSR does not support slicing,
__getitem__not…#19071: BUG: scipy.special.gammasgn implementation & docs inconsistent…
#19207: BUG: sparse.linalg:
LinearOperatordtype determination broken#19223: BUG: io: scipy.io.loadmat error message recommend use of function…
#19355: MAINT: lobpcg: add unit tests for accuracy matching benchmark…
#19405: ENH: sparse.csr_array: keep axis functionality in
getnnz()#19446: BUG: In test_b_orthonormalize, cannot parameterize Vdtype, Bdtype,…
#19524: BUG: deepcopy on stats.rvs breaks seed / random generation.
#19634: ENH: Dedicated Function for Envelope Extraction
#19759: BUG: Bad result for stats.randint.pmf (edge case)
#19791: DOC: linalg.schur: unclear signature for
sortcallable when…#19907: DEP: extend deprecation of private namespaces also to fortran-generated…
#20026: ENH: ndimage: 1D rank filter speed up
#20048: BUG:
stats.rv_discrete.ppf: infinite loop in default implementation#20077: DEP: linalg: deprecate
kron#20155: DOC:
optimize.curve_fit: Inconsistent naming convention…#20196: MAINT: Audit usage of cython memoryviews, add
constto allow…#20207: ENH: sparse: Validate dtype on sparse array/matrix creation
#20239: DOC: Sparse arrays: todense() does not return numpy.matrix
#20240: ENH: multiple small improvements to scipy.stats.circmean
#20288: ENH: Poisson disk sampling for arbitrary bounds
#20370: DOC: ndimage.convolve: clarify origin parameter description
#20389: BUG:
sparse.hstackdoes not respectdtypeof{indptr,indices}…#20452: BUG:linalg:interpolative: Crashing if k is requested too high…
#20552: DOC/DEV/MAINT: review distributing section of core-dev guide
#20574: MAINT, BENCH: would be good to be able to run benchmarks with…
#20602: MAINT/STY: fix UP031, UP032 linter errors
#20609: BUG:linalg:interpolative: Inputs are not mapped to compatible…
#20635: DOC: Titles of long function names in API Reference truncated…
#20638: DOC: Specify cut-off frequency in firwin as half-ampltude vs…
#20693: BUG: stats.noncentral_t: incorrect pdf values
#20710: ENH:
special.rel_entr: avoid premature overflow#20728: BUG: sparse.linalg: Segfault in
arpackwithifx#20733: DOC: stats.mannwhitneyu: reversed options for
alternative…#20739: DOC/DEV: update commit message guidance
#20740: BLD/DEV: special: build warnings
#20761: ENH: stats.cauchy: improve cdf and quantile accuracy in tail
#20763: BUG: sparse.csgraph, array types: some functions should expect…
#20813: BUG:
optimize.nnlssometimes fails when inputAis a…#20821: BUG:
stats.levy_stable.rvs: “S0”-parameterization ignored#20844: DOC: update testing docs for alternative backends
#20879: MAINT: clean up
sparse._sputils.getdtype#20893: DOC/DEV: Developer docs should mention Accelerate support
#20904: BUG: sparse.csgraph.dijkstra errors on inputs with int64 or no…
#20910: BUG: positional argument
DeprecationWarningmessage is overly…#20931: MAINT: Premature setting of attributes in
HBInfoinscipy.io._harwell_boei…#20957: TST, MAINT: array API GPU test failures
#20963: TST:
special.tests.test_support_alternative_backends: failure…#20984: BUG: scipy.optimize.nnls 1.11.4 version has better performance…
#20991: BUG:
special.pro_rad1returns ‘nan’ for any combination of…#20994: BUG:
spatial.distance.cosinewithcomplexarguments raises…#21009: BUG: Floating point exception when passing the invalid argument…
#21010: BUG: Segmentation fault when passing invalid arguments to some…
#21011: BUG: Double free or corruption when passing invalid arguments…
#21016: BUG: Indexing broken for sparse arrays
#21030: DOC, DEV: release notes
gh_liststouchups#21044: RFC: quo vadis,
xp_assert_*infrastructure?#21045: BUG:
scipy/optimize/tests/test_hessian_update_strategy.py::TestHessianUpdateSt…#21057: BUG: loong64 architecture fails TestQuad.test_complex
#21059: TST, MAINT:
TestHyp2f1.test_region5tol issue with gcc 14.1.0#21078: BUG: linalg.expm: slower by a factor of ~4 in
scipy>1.13#21088: DOC:
optimize.InverseJacobian: document or deprecate?#21099: DOC: incorrect section ordering for classes
#21106: BUG:
stats.combine_pvaluesgives result with wrong dimensionality…#21140: BUG: optimize.nnls: re-implementation not robust
#21144: BUG: sparse: Two new XSLOW test failures
#21145: BUG: dev.py build –debug doesn’t produce a debug build
#21148: BUG: scipy.optimize.root_scalar pass in an array instead of float
#21152: BUG:
stats.bartlett: returned statistic can be negative…#21158: RFC: spatial: review calculation formula for Jaccard distance…
#21166: ENH:
linalg.null_space: exposelapack_driverandcheck_finite#21174: BUG: special tests failing on main when CuPy is installed with…
#21178: DOC:
optimize.root_scalar: arguments incorrectly marked…#21181: MAINT: spatial: weighted
chebyshevdistance revisited#21187: BUG: spatial.distance:
kulczynski1returns similarity rather…#21192: BUG:
stats.differential_entropy: incorrect results with…#21193: BUG: optimize: Hessian update strategy fails on nested minimize…
#21208: RFC: Should mutable default arguments be forbidden by the linter?
#21212: DOC: doc build failing in CI
#21217: BUG: SciPy won’t pick the correct BLAS when running the test…
#21227: BUG: stats/fft/differentiate/optimize: test suite failures with…
#21239: ENH: Add a Python level lapack wrapper for DSYTRS
#21241: DOC: add sphinx-copybutton to the documentation
#21248: BUG: ValueError:
x0violates bound constraints in minimize#21256: BUG: io.loadmat: failure with large file due to address position…
#21266: DOC: CosineMixture function in go_benchmark_functions is wrong
#21275: CI: wheel builds for Python 3.13 are failing
#21286: BUG: Delaunay/qhull segfault on self-pass
#21292: TST: ndimage: GPU test failures
#21296: DOC: optimize.root: fix docs for
inner_\*parameters#21300: BUG: integrate.simpson:
xparam is keyword only#21311: BUG: special.chdtr: torch failures
#21351: ENH: spatial: Rotation: add
splitto break apart object with…#21357: DOC: signal.hilbert: Terminology issue
#21366: DOC:
stats.f_oneway: use attributes instead of tuple unpacking…#21369: BUG: stats.tukeylambda:
support(lam)is incorrect whenlam…#21379: BUG: spatial: Voronoi diagram missing ridges
#21383: BUG:
stats.sobol_indices: in-place modification offunc…#21394: DEV: jupytext notebooks break caching of doc builds
#21405: MAINT: a few potential minor cleanups
#21421: DOC/DEV: direct to building guide from quickstart guide
#21439: DOC/DEV: replace mambaforge with miniforge
#21447: DEV/MAINT: Allow unicode characters
±and∞in source…#21452: DOC: signal.firls: reference unavailable
#21453: ENH: Add support for Xi Correlation in scipy
#21460: MAINT, DOC: make dist pipefail issue
#21461: BUG:
special.pro_rad2: incorrect results since translation…#21486: MAINT: ndimage test failures with CuPy
#21504: DOC: add note about
args/kwargsto description of callable…#21507: BUG: fft.fft: real-valued array-api-strict inputs fail
#21510: DOC: signal.freqz: problem with
fs#21513: TST, MAINT: test_differentiate torch GPU failures
#21519: BUG: optimize.minimize:
method='Powell'gives array not scalar#21534: TST, MAINT:
test_matrix_inputfailing#21556: DOC: Lack of table of contents in cluster
#21566: DOC: stats.pearsonr: error in notes of API reference
#21571: DOC: interpolate.interp1d: clarify status and alternatives
#21576: DOC: building: specify
.ps1for windows example#21582: BUG: Squeezed output from batched
scipy.linalg.det#21583: BUG: optimize: test failures in scikit-learn following LBFGS…
#21584: BUG: linalg.expm: nightly inaccurate for
complex64#21596: MAINT: Update constants to CODATA 2022 recommendation
#21610: BUG: special.logsumexp: imaginary component exceeds
(-pi, pi]#21615: BUG: Invalid treatment of ellipsis in indexing of sparse matrices
#21627: DOC: optimize.root: outdated naming of fprime in
method=’hybr’#21630: BUG: optimize.nnls: precision problems
#21641: BUG: io.mmwrite: auto-appending of
.mtxextension#21660: BLD, MAINT: linker warnings with newer AppleClang/ld
#21661: BUG: fft.fht: should set
u.imag[-1] = 0only whennis…#21670: BUG: ndimage:
_normalize_sequencefails on 0d array#21671: BUG: signal.ShortTimeFFT: inverse tranform error with multichannel…
#21675: BUG: Errors at compiling through pip for python 3.13 with option…
#21677: BLD: build warnings from quadpack
#21696: MAINT: lombscargle numerical backward-compat
#21704: DOC: stats.bootstrap: clarify meaning of
pairedargument#21709: BUG: logsumexp returning incorrect results in Scipy 1.15.0.dev0
#21724: MAINT: signal deprecation cleanups
#21733: BUG: cluster: incorrect type of default value of
distin…#21738: BUG: “ERROR: Dependency “OpenBLAS” not found” in macOS tests…
#21745: TST, MAINT: array API GPU test fails in
test_cubature.py#21747: BUG: boolean indexing of sparse arrays broken on
main#21758: BENCH/DEV: Add
conda-buildtoenvironment.yml#21759: DEP: remove
special.btdtrandspecial.btdtri#21760: BUG: failure in
scipy/optimize/tests/test_minimize_constrained.py::test_gh1164…#21769: BENCH: Warnings from
linprog#21772: BUG:
optimize.curve_fitwithnan_policy="omit"fails…#21775: BUG: sparse matrix-vector multiplication fails with flattened…
#21788: BUG: stats:
qmc.SobolraisesValueErrorin multi-threading#21791: BUG: sparse:
setdiagbroken when not entire diagonal belongs…#21807: BUG: signal: Confusing error when giving an invalid mode to
correlation_lags#21810: RFC: special: Behavior of
gammafunction and related functions…#21814: TST: interpolate: tests on
griddataare not parametrized#21817: QUERY:
optimize.isotonic_regression: cannot replicate results…#21820: BUG: stats: New XSLOW failures in
test_fit.py::TestFit#21829: BLD: accelerate detection with GNU toolchain on ARM mac
#21830: BLD: threads.h with MacOS 14.x ARM + gcc 14.2.0
#21833: SPEC 7 Transition Tracker
#21837: BUG: linalg.svd: Segmentation Fault, Integer overflow in LAPACK…
#21838: ENH: sparse: revisit default index dtype selection in sparray…
#21855: TST, MAINT: torch + GPU failures for test_create_diagonal
#21862: BUG: large number of fails with macOS 15.1 using Accelerate
#21885: BUG:
interpolate/tests/test_interpnd.py::TestLinearNDInterpolation::test_threa…#21900: BUG: stats: New XSLOW test failure in test_sampling.py
#21908: BUG: integrate.trapezoid: broadcasting failure after #21524
#21927: TST: failures in
test_riemann_zeta_complexon windows in…#21934: BUG: Intel oneAPI tests / py3.12, dev.py:
meson.build:1:0:…#21940: DOC, REL: 1.15.0 author mappings
#21946: BUG: several failing tests in
interpolateon macOS15#21949: BUG: stats: XSLOW test failure in
scipy.stats.tests.test_fit::TestFit#21952: DOC:
stats.goodness_of_fit: improve examples#21957: CI: failure for “Oldest GCC …” Linux CI job (related to pre-release…
#21963: DOC: Deprecation warning in
sphinxwhen used with Python…#21988: refguide_check currently failing
#22005: TST:
TestJacobian::test_attrstol bump?#22022: TST: tolerance violation in
test_x0_working[tfqmr]on windows#22029:
Test_SVDS_LOBPCG.test_svd_rng_3test failure in wheel build…#22031: BUG: mypy failure in main
#22077: DOC, REL: a few release notes/process issues
#22094: API: unannounced breaking change:
scipy.integrate.AccuracyWarning…#22095: DOC: sparse:
sparse.eye_arraydoes not accepttuple[int,…#22097: DEP:
interpolate.interpnd.GradientEstimationWarningstill…#22112: BUG/DOC: sparse: ND COO unexpected behaviour 1.15.0rc1
#22123: DOC: stats: random variable transition guide launches wrong notebook
#22128: BUG/DOC: it’s not clear how to use
differentiate.jacobian…#22137: BUG:
stats._distribution_infrastructure._Domain.symbolsclass…#22143: BUG: Fail to call
BSplineafter unpickling withmmap_mode="r"#22146: BUG:
stats.ContinuousDistribution.llf: should not be public#22204: BUG: signal.ShortTimeFFT:
istftwithmfft > len(win)…
Pull requests for 1.15.0#
#11345: MAINT: constants: revise way ‘exact’ values are recomputed
#12071: ENH: linalg: update
_procrustes.pyto handle complex matrices…#12824: ENH:
linalg.solve: detect and exploit matrix structure#15993: TST: sparse.linalg: Add iterative step test of solvers with LU…
#16088: DOC: signal: Make
_filter_design.pyplot labels consistent#16090: ENH: vectorize companion matrix function
#16467: ENH: sparse: add nonzero functionality to
min, max, argmin,…#16877: MAINT: remove un-necessary all-true array.
#17318: ENH: signal: Add functionality of Complex Chirp waveform
#18605: ENH: special: add
softplus#18979: DOC: Add units to scipy.constants description
#19058: DOC:special/signal: Add examples for
berp_zerosandband_stop_obj#19145: ENH: stats: add Landau distribution
#19209: BUG: sparse.linalg: fix
LinearOperatordtype determination#19255: ENH: Use
highspyinlinprog#19361: BENCH: sparse.linalg: check accuracy in SVD-LOBPCG benchmarks
#19475: ENH: stats.lmoment: add function to calculate sample L-moments
#19764: MAINT: stats: fix
axis_nan_policydecorator non-broadcastable…#19970: ENH: interpolate: replicate
splrepandsplprepin Python#19988: MAINT: unify factorial implementations
#19989: MAINT: special: factorial clean-ups
#20040: DOC: optimize: add comparison of optimizers to guide
#20058: DOC:signal: Suggest remedies for slow speed in
resamplewhen…#20097: ENH: signal: Compute envelope of a real- or complex-valued signal
#20194: BUG: linalg.cossin: fix for nonsymmetric cases
#20242: DOC: sparse: Correct
todensedocumentation#20303: DOC: stats: Convert sampling tutorial to MyST-md
#20408: DOC: ndimage.convolve: modify
originparam description#20496: DOC: stats: added
Raisessection to a few functions#20514: TST/BUG: linalg.expm: empty array support
#20517: DOC: sparse.linalg: updated preconditioner doc for iterative…
#20519: MAINT: signal: further refactor spline filters
#20520: BUG: linalg.polar: empty array support
#20539: ENH: special: Overhaul of Legendre functions
#20543: ENH: ndimage: log(n) implementation for 1D rank filter
#20558: ENH: linalg: Cythonize
id_distFORTRAN code#20589: TST: optimize.linprog/milp: add tests for various bug reports
#20671: ENH: interpolate: fix concurrency issues throughout
#20695: MAINT: special.ndtr: adjust implementation to more closely match…
#20701: TST/MAINT: special: test with CuPy, make some CUDA fixes
#20708: ENH:
differentiate.hessian: usejacobianto compute…#20713: ENH: optimize.HessianUpdateStrategy: add
__matmul__#20719: MAINT: sparse: fix
__init__func sig to allowmaxprint…#20743: ENH:
stats._xp_mean, an array API compatiblemeanwith…#20754: ENH: sparse: add dtype validation in
__init__andastype#20759: MAINT: sparse.linalg: adjust
norm,eigs, andlsqr…#20766: MAINT: stats: minor numerical improvements to circular statistics
#20767: ENH: stats.qmc: add bounds parameters to PoissonDisk
#20771: ENH:
stats.ttest_ind: add array API support#20773: BUG: sparse.csgraph, array types: support non-zero
fill_value...#20785: ENH:
stats.nct.pdf: increase range in left tail using boost#20793: ENH: stats: end-to-end array-API support for NHSTs with beta…
#20794: ENH: stats: add array API support for
directional_stats#20800: ENH: optimize.elementwise: vectorized scalar optimization and…
#20809: ENH: ndimage: extend ndimage filter axes support to correlate…
#20811: ENH: ndimage: extend filter axes support to remaining filters…
#20816: ENH:
special.rel_entr: Avoid overflow before computing…#20822: CI: Add Linux workflow to test on free-threaded Python builds
#20827: REL: set version to 1.15.0.dev0
#20829: MAINT: special: fix typo in
four_gammasused byhyp2f1#20830: DOC:
optimize.differential_evolution: change convergence…#20833: BUG: interpolate: make BSpline.integrate always return an array
#20834: ENH: integrate.nsum: elementwise evaluation of finite or infinite…
#20837: MAINT: linalg: add
constto Cython function signatures#20843: DOC/DEV: add docs for enabling interactive examples
#20846: DOC: Wrap long titles in docs pages
#20849: DOC/DEV: mention
-boption in contributor guide on testing#20855: TST: add additional margin to
fail_slows#20856: TYP:
_lib.doccer: add type annotations#20857: ENH: sparse: add axis parameter to
count_nonzeromethod#20859: DEP: signal: remove
cmplx_sort#20862: MAINT: special: Add kokkos
mdspan#20864: DEP: integrate: remove quadrature and romberg
#20865: DEP: signal: remove wavelet functions
#20866: DEP: stats: remove
rvs_ratio_uniforms#20867: DEP:
integrate.cumulative_trapezoid: raiseValueError…#20868: DEP: interpolate: deprecate complex dtypes in
{Akima1D, Pchip}Interpolator#20869: DEP: special.factorial: raise error for non-integer scalars and…
#20872: MAINT: interpolate: add
constto Cython function signatures#20873: MAINT: sparse: add
constto Cython function signatures#20874: MAINT: spatial: add
constto Cython function signatures#20875: BLD/DEV: special: Fix warning due to mixed initializers
#20876: DOC: use
intersphinx_registryfor easier intersphinx mapping…#20882: CI: Add workflow to build and upload free-threaded wheels
#20883: ENH: stats: rewrite
ttest_relin terms ofttest_1samp#20884: ENH: stats: end-to-end array-API support for NHSTs with Student’s…
#20885: BUG: fix incorrect intersphinx-registry entry in environment.yml
#20886: CI/DEV: fix Node.js 16 warnings by bumping actions
#20887: MAINT: signal: add
constto Cython function signatures#20889: MAINT: sparse: Align matmul tests in
test_base.pyfor spmatrix…#20891: MAINT: stats: add
constto Cython function signatures#20895: TST: sparse: Finish allowing
test_base.pyto easily switch…#20897: DOC: Fix bug with parallel doc build
#20898: MAINT: sparse: clean up
_sputils.getdtypedocstring#20900: ENH: stats: add array API support to combine_pvalues
#20906: DOC: linalg.schur: update doc for the argument
sort#20907: CI: Make sure nightly free-threaded wheels are tested with GIL…
#20908: DOC: signal.dbode: improve docstring
#20912: DOC: Add more information about how to use Accelerate
#20913: BUG: sparse.csgraph.dijkstra: fix dtype and shape bugs
#20915: DOC:
integrate.quad_vec: Add example when usingworkers#20916: DOC: Mention that
sparse.bsr_arraydoes not support slicing.#20922: BUG: stats.mstats: fix
mstats.{ttest_rel, ttest_1samp}when…#20924: BUG:
_lib: ensure reasonable length_deprecate_positional_args…#20926: DOC: sparse: Add migration guide for converting code from spmatrix…
#20928: ENH:
optimize._differentiate: add array API support#20932: MAINT: io: fix premature setting of attributes in
HBInfo#20934: TST:
stats.combine_pvalues: parameterise tests and update…#20941: DOC/MAINT: single to double backticks to remove improper linking
#20942: CI: Use Cython nightly wheel on free-threaded CI
#20944: DOC: update distributing section
#20946: ENH: stats.gmean: add array API support
#20951: CI: Add MacOS to free-threaded wheel release CI
#20954: MAINT: stats.hmean/pmean: simplify prior to array API conversion
#20955: DOC: Single to double backticks for non-targets
#20962: DOC/MAINT: stats.gmean/gstd/hmean/pmean: document/treat invalid…
#20965: ENH:
stats.tmean: add array API support#20968: MAINT: fix some misspellings
#20969: DOC: linalg: add # may vary to a linalg.schur example
#20971: TST: special: use
standard_normalto generate arguments in…#20974: ENH:
stats.combine_pvalues: add native axis support#20975: DOC: single to double backticks
#20976: BUG: Update scipy-optimise directive in view of new default role
#20977: DOC: More single to double backtick
#20980: CI, MAINT:
test_plot_ivNumPy 2 shim#20985: BLD: Add build only CI workflow for Windows using MSVC + ifx…
#20986: DEV:
gh_lists: single -> double backticks#20987: DOC/DEV: update commit message guidance
#20989: ENH:
stats.chi2_contingency: addmethodparameter#20995: CI: test cp313-dev
#20998: MAINT: signal: fix code comment typo
#21003: MAINT: odr: fix a refcounting issue in
__odrpack.c#21004: DOC: stats: Convert
chisquareexample to notebook#21005: CI: one invocation for all tests in array API job
#21017: MAINT: smoke-docs: add
special/_precomputeto –ignore list,…#21018: MAINT: sparse: better error message on
matmulmismatch#21021: ENH:MAINT:optimize: Re-rewrite nnls in Cython
#21022: BUG: sparse: Fix advanced indexing using both slice and array
#21023: DEV: lint: enforce newlines at end of files
#21025: API: signal: rename
sosfreqztofreqz_sos#21028: ENH: stats.tmin/tmax: add array API support
#21029: MAINT/STY: Fix UP031 AND UP032 linter errors
#21032: DOC/DEV: update vendored-code page
#21033: DOC: interpolate: discuss linear interpolation with extrapolation
#21034: ENH:
stats.xp_var: array-API compatible variance withscipy.stats…#21035: ENH: stats.hmean/pmean: add array API support
#21036: ENH: stats.tvar/tstd/tsem: add array API support
#21037: MAINT: forward port 1.14.0 relnotes
#21041: ENH:
differentiate: add sub-package for array-API compatible…#21042: DOC: stats: Move biomedical examples to notebooks
#21047: TST: optimize: fix exception test on PyPy3.10
#21050: ENH:
stats.Normal: add new continuous distribution infrastructure…#21051: BUG: interpolate.LinearNDInterpolator: fix for precomputed triangulation
#21063: MAINT: gcc-14
test_region5tol bump#21068: ENH:
stats.zmap/zscore/gzscore: add array API…#21076: ENH:
stats.differential_entropy: add array API support#21081: DOC: Add default options for COBYQA
#21083: MAINT: simplify
_integrate_pdf#21085: DEP: spatial: deprecate complex input to
cosineandcorrelation#21086: DOC: spatial: Fix typo in
seuclideandocstring#21087: DOC: optimize: remove inadvertent block quote indentation
#21089: ENH:
stats.alexandergovern: vectorize calculation for n-D…#21094: DOC: sparse.linalg.gcrotmk: fix backticks and add
maxiter…#21096: DOC: sparse.linalg.gcrotmk: add missing backticks
#21097: ENH:
stats.boxcox_llf: add array API support#21098: DEV: don’t add
sparselabel for submodules#21101: DOC: special.ellipj: fix order of parameters in docstring
#21103: MAINT: itemsize pybind cleanup
#21109: MAINT:
stats.combine_pvalues: fix nativeaxissupport…#21110: ENH:sparse.linalg: Update vendored ARPACK version to 3.9.1
#21111: BUG:
ndimage.binary_erosion: avoid divide by zero by capping…#21112: DOC:
optimize.differential_evolution: fix interval for…#21113: MAINT, DOC: simplify docs warn filter
#21115: BENCH: Corrections to benchmarks README and
sparse.Arithmetic…#21116: BUG:
optimize.root_scalar: let bracket be passed as a NumPy…#21117: TST: interpolate: use
xp_assertinfrastructure#21118: DOC: optimize: Add docstring to
InverseJacobian#21119: MAINT: remove another mpl test shim
#21120: BUG: cluster: Avoid OOB write when distances are NaN in
centroid#21121: BUG: cluster: Fix
fcluster"maxclust"binary search logic#21123: DEV/CI: add
gmpy2back to test dependencies#21124: MAINT: use
xp_vector_norminstead ofxp.linalg.vector_norm#21125: MAINT: remove unused minpack2 fortran code
#21127: TST: fix
boxcox_llftest skips#21128: TST: special.logsumexp: modernise tests
#21129: TST: sparse.linalg: test all dtypes for
lobpcgB-orthonormalization#21131: ENH:optimize: Rewrite MINPACK in C
#21132: TST: sparse.linalg: simplify dtypes def in
test_expm_multiply.py#21133: TST: sparse.csgraph: simplify dtypes def in
test_graph_laplacian.py#21141: DOC: Remove outdated comment about macos/musl in Cirrus CI config
#21143: MAINT: signal: Don’t redefine
PyArray_MINmacro#21146: MAINT: sparse.linalg:
spsolvesimplification#21149: ENH: special.logsumexp: add array API standard support
#21150: ENH: ndimage: add array API standard support
#21151: DOC: interpolate: fix
py:obj reference target not foundwarning#21154: DOC: fix documentation about verbose in minimize_trustregion_constr.py
#21157: DEP:
stats.find_repeats: deprecate function#21162: MAINT:
optimize.root_scalar: ensure user function gets…#21163: MAINT: special: Make fixes needed for ellipkinc and ellipeinc…
#21167: ENH: interpolate: add AAA algorithm for rational approximation
#21168: BLD: remove optional test dependencies from cibuildwheel config
#21171: DEV: fix
--debugand add--releasetodev.py build#21173: BUG/CI: Compile and run tests with
ifx+MKLon Linux#21176: MAINT: spatial.distance.jaccard: correct numerator calculation
#21179: BUG: special:
cupyimport guard#21182: MAINT: spatial: improve weighted Chebyshev distance doc and zero…
#21185: DOC: optimize: Mark
x1as optional for secant root finding#21186: DOC:
array->``array_like`` in a few functions#21194: MAINT:
stats.differential_entropy: fix results with integer…#21196: DEV: add label glob for
scipy.differentiate#21197: ENH: sparse: extend COO arrays to n-dimensions
#21199: MAINT: bump pybind11, mark C/C++/Cython extension modules as…
#21201: ENH:integrate: Rewrite QUADPACK in C
#21203: BUG: optimize: Avoid sharing BFGS HessianUpdateStrategy between…
#21204: MAINT: ensure Python.h is included first in __minpack.c
#21210: MAINT: special: Make sine and cosine integrals work in CUDA
#21211: DEP: signal.{correlate,convolve,lfilter}: deprecate object arrays…
#21213: MAINT, DOC: bump jupyterlite-sphinx lower bound
#21215: MAINT:
_lib: update_docscrapefrom upstream#21216: ENH:
integrate._tanhsinh: add array API support#21220: TST: sparse.linalg.lobpcg: add unit tests for accuracy
#21221: BENCH: sparse.linalg: check accuracy properly in LOBPCG benchmarks
#21222: BUG: special:
cython_specialmissing dep#21223: MAINT: interpolate: remove several fused type uses from
_bspl.pyx#21225: MAINT: io: move
_test_fortranundertests#21230: ENH:
differentiate: support arrayinitial_step#21231: ENH:
optimize.elementwise.find_minimum: add array API support#21235: MAINT: interpolate: remove
README#21240: ENH: sparse: refactor 2-D COO sparse-dense matrix-matrix multiplication
#21242: BUG: sparse: fix two slow tests that fail in numpy 2 inside A.nnz
#21243: BENCH: fix
--compareinpython dev.py bench#21245: DOC: add sphinx-copybutton
#21247: ENH: linalg.nullspace: expose SVD options
#21252: DOC:
integrate.solve_bvp: make notation consistent#21254: CI: Test icx + icpx + ifx + MKL build of SciPy
#21257: MAINT: BUG: fixed issue where optimization method trust-constr…
#21259: BUG: interpolate: avoid OOB in the periodic spline constructor
#21260: BUG: io.loadmat: fix read of large Matlab 4 arrays
#21264: MAINT: utilise
array_api_compatv1.8#21265: BUG: fix cstddef include
#21267: DOC: add Stack Overflow link to readme file
#21268: MAINT/BENCH: optimize: fix
CosineMixturereference#21276: MAINT: Fix incorrectly named 1234 Hz fs .wav test file
#21277: ENH: signal.lombscargle: update to the generalized Lomb-Scargle…
#21278: BLD: bump cibuildwheel closes #21275
#21281: MAINT:
test_maxiter_worseningcleanup#21282: TST: ndimage: unskip
test_boundary_spline_accuracyfortorch#21284: MAINT: Remove mutable defaults in function definitions, forbid…
#21290: MAINT: linalg: run
dos2unixoncython_lapack_signatures.txt#21294: TST: fix GPU failures
#21295: DOC:
find_simplexno self#21297: MAINT: special: rename C++ library to
xsf#21299: DEV:
gh_lists: improve sanitization of backticks#21301: ENH: stats: Implement
_logcdfand_logsfforrv_continuous#21304: TST: Fix bugs in various tests found via linter
#21309: MAINT:integrate: Fix an off-by-one error in QUADPACK
#21310: MAINT/DOC: clean up
_lib._array_api, update docs#21312: MAINT: special: fix Pylance typing nit
#21313: BUG: find_simplex shape () segfault
#21314: ENH: optimize: Rewrite LBFGSB in C
#21316: MAINT: special.chdtr: fix generic chdtr
#21318: BUG: special: Fix bug in beta ppf by setting correct Boost policy
#21321: BUG: linalg: fix
solve_bandedraisingIndexErrorwhen…#21322: BUG: stats: Allow
betaprime._ppfto accept scalars.#21326: MAINT: stats: Improve precision of argus.sf.
#21328: ENH: linalg: add Python wrapper of
?gtcon#21329: MAINT: interpolate.AAA: improve input validation of
max_terms#21330: ENH: integrate: multidimensional integration of array-valued…
#21331: ENH: linalg: add Python wrapper of ?trcon
#21332: BUG:
stats.levy_stable: fix ignored parameterization#21333: DOC:integrate.simpson: Remove reference to removed
evenparam#21334: TST: add
xfail_xp_backends#21335: BUG/ENH: stats: updates for cauchy.
#21336: ENH: linalg: Add
sy/hetrsLAPACK wrappers#21339: ENH:
stats.poisson_binom: add Poisson Binomial distribution#21342: MAINT: stats: fix test that discrete distribution methods accept…
#21344: BLD: require Meson 1.5.0, fix a missing build dependency for…
#21346: TST: special: Fix two XSLOW tests.
#21347: BUG/ENH: stats: Cauchy distribution fixes
#21349: TST: linalg: skip
svd_gesddtest for large matrices for/in…#21352: ENH:
linalg.lapack.?lantr: add Python wrapper#21353: MAINT:
stats.randint.pmf: fix zero PMF values within the…#21354: MAINT:
stats.rv_discrete.ppf: fix infinite loop bug#21355: MAINT:
stats.geom.rvs: ensure that output is not negative…#21360: BLD: use OpenBLAS v0.3.28 with fewer kernels, fix OpenBLAS licences
#21361: BLD: switch to more robust git hash determination
#21363: ENH: linalg.solve: use structure to speed up finite check, apply…
#21365: BUG: interpolate: FITPACK: remove
fpchec.fin-lineif-then-endif…#21367: MAINT:
stats.mannwhitneyu: simplify alternative hypotheses#21368: DOC: fixes ISSUE#21366
#21371: BUG: stats.tukeylambda: Fix the support() method.
#21373: ENH: interpolate.AAA: add cleanup function for removing spurious…
#21375: MAINT: Add local resources for smoke-tutorials
#21377: BENCH: Update BlockDiagSparseConstruction to use a
coo_matrix…#21378: DOC: signal.hilbert: update to reflect implementation
#21387: DOC: signal: fix typos in
_short_time_fft.pyandsignal.rst#21388: ENH: special: Improve precision of special.logit.
#21389: ENH:
scipy.stats: add normal-inverse-gamma distribution#21395: DOC: stats.ecdf: fix example plot
#21397: DOC/DEV: add
poochto virtualenv dev quickstart guide#21399: MAINT: optimize: remove unnecessary
isnancheck#21407: BUG: optimize.minimize: set
trust-constrsuccess=False…#21412: ENH: sparse: add CSR/CSC
_broadcast_tomethod#21413: MAINT: cleaner 0-D/scalar checks for
xpassertions, round…#21419: ENH:
linalg.circulant: allow batching#21423: MAINT:
linalg.logm: avoidZeroDivisionError, emit…#21425: DOC: linalg.qr: add example about explicit permutation matrix
#21427: DOC: linalg.cholesky: document when/whether only selected half…
#21428: DOC: linalg.hankel: emphasize that first element of
ris…#21429: MAINT:
linalg.schur: fixsort='iuc'/'ouc', correct…#21430: MAINT: forward port 1.14.1 relnotes
#21433: DOC: Cache jupyter notebooks build
#21435: ENH: sparse: Add nD COO support for matmul, dot and tensordot
#21437: TST/DOC: smoke docs: strict checks
#21440: ENH: linalg.funm: Pythranize double for loop
#21441: DOC: special: prolate spheroidal docs wrong
#21443: DOC/DEV/CI: mambaforge -> miniforge
#21444: DOC: optimize: make
lsq_linearexample smaller#21446: ENH: linalg: enable N-D batch support in special matrix functions
#21449: DEV/MAINT: Add
±and∞to the extra set of allowed Unicode…#21450: Use miniforge for uploading wheel builds
#21451: DOC: interpolate: add missing call to example code
#21454: ENH: special: Add root finding tools to xsf and implement gdtrib…
#21455: TYP: ignore missing sphinx import in mypy.ini
#21457: MAINT: few scipy cleanups
#21458: DOC: signal.firls: fix broken link
#21464: CI: remove
fetch-depth: 0from wheel build jobs#21467: STY: fix new lint rules that are popping up in CI
#21468: MAINT: special: remove more functions from
functions.json#21469: DOC/MAINT: add references to Boost
#21471: BUG: sparse: undesired behaviour of 1D/2D matmul
#21472: MAINT: special: refactor
ufunc.hand move toxsf#21473: ENH: integrate.cubature: array API standard support
#21474: DOC: use
httpsURLs in pull request template#21477: DOC: update Contributor Quickstart guide to refer to the Building…
#21478: DOC: Fix version matching by extending the length of
GITVER#21481: MAINT/DEV: pin sphinx in
environment.yml, bumpjupyterlite-sphinx#21483: ENH: special: computing derivatives by simple autodifferentiation
#21485: MAINT: interpolate: abstract out barycentric representation of…
#21492: MAINT: Specify SHELL=/bin/bash in doc/Makefile
#21493: MAINT: Check for all submodule paths in
check_installation#21496: TST: Use pytest-run-parallel against free-threaded CI
#21497: ENH: interpolate: add
FloaterHormannInterpolator#21499: MAINT, TST: CuPy skip ndimage test
#21502: MAINT: Update COBYQA to the latest release
#21505: BUG: special: Use Boost for ncfdtr, fixing accuracy issues
#21508: BUG: fft: fix real input to standard funcs
#21512: TST: signal: convert to
xp_assert_\*infrastructure (pt….#21514: DOC: signal.freqz: fix example
#21515: MAINT: differentiate: manually promote dtype before element assignment
#21516: TST: remove redundant torch skips
#21517: DEV:
pytorch->torch#21518: ENH:
stats.boxcox_llf: add GPU support#21520: TST:
special._smirnovp: remove test xfail after translation…#21524: ENH: integrate.trapezoid: add array API standard support
#21525: MAINT: stats: Fix typos principle -> principal
#21526: BUG: optimize.minimize.powell: stop squeezing everything
#21528: BUG: special.logsumexp: fix type promotion
#21530: TST: signal: convert to
xp_assert_\*infrastructure, pt 2#21536: TST: interpolate: fix a spurious failure with -b all
#21539: MAINT: interpolate: move an internal utility from cython to python
#21542: DOC: integrate.cubature: fix doc formatting and references issues
#21544: DOC: optimize: document recipe for
\*argsand\*\*kwargs#21545: STY: ignore rule UP038
#21549: ENH: ndimage: add axes support to most morphology functions
#21551: MAINT: interpolate: trim down
_bsplextension#21553: ENH:linalg: Rewrite expm in C
#21564: TST, MAINT: skip some torch GPU tests
#21565: ENH: HiGHs re-integration
#21567: MAINT: stats.wilcoxon: small improvements/fixes
#21568: MAINT: special: performance optimization for simple autodifferentiation
#21570: MAINT, BLD: 3.13 to classifiers
#21572: DEP: spatial.distance: deprecate
kulczynski1andsokalmichener…#21573: DOC/MAINT: stats: fix some typos
#21575: DOC/MAINT: doc: fix some typos
#21577: MAINT: special.hankel2: fix edge case
#21578: DOC:
special.mathieu_c/sem: add information to docstring#21579: TST/DEV: allow stacking of
skip_xp_backends#21585: DOC/MAINT: special: fix some typos
#21586: DOC/MAINT: spatial: fix some typos
#21587: BUG:linalg: Fix single precision expm UV computation
#21588: BUG: linalg.det: Fix edge case handling of stacked 1x1 arrays
#21590: DOC: signal.firwin: emphasise cutoff freq is half-amplitude
#21593: DOC:
special.roots_legendre: fix typo in example#21595: DOC: building: specify .ps1 for windows example
#21597: ENH:
special.logsumexp: improve precision when one element…#21598: DOC:
spatial.voronoi_plot_2d: notes on degeneracy#21599: CI: use gha-update [wheel build]
#21600: MAINT:
_lib: vendor and use array-api-extra#21602: BUG:optimize: Correct guarding, previosuly Fortran indexed, mod…
#21603: DOC:
special.riccati_yn: highlight sign convention#21604: MAINT:
special.gegenbauer: fix behavior forn=0;…#21605: MAINT: constants: update codata values to 2022
#21607: DOC/MAINT: sparse: fix some typos
#21608: TST: ndimage: skip fourier tests for JAX
#21609: ENH:
integrate.lebedev_rule: points and weights of Lebedev…#21612: MAINT: special: fix delegation to generic implementations
#21616: BUG: sparse: fix indexing after ellipsis and 2D array indexing
#21617: DOC/MAINT: signal: fix some typos
#21621: DOC/MAINT: ndimage: fix some typos
#21622: MAINT: special.logsumexp: enforce branch cut convention
#21624: DOC/MAINT: linalg: fix some typos
#21625: ENH:
optimize.differential_evolution: respect workers when…#21626: BUG: sparse.linalg: Set
t=2intest_onenormest_table_6_t_1…#21629: MAINT: special: use reflection formulas for spherical Bessel…
#21633: DEP: linalg: deprecate kron
#21635: TST: special: fix XSLOW failure in
test_mpmath.TestSystematic.test_spherical_j…#21636: MAINT:
differentiate.differentiate: rename function to…#21637: MAINT: interpolate: deduplicate input validation for NdBSpline
#21638: ENH:
differentiate.jacobian: support arraystep_direction#21642: BUG: io.mmwrite: fix auto-appending of
.mtxextension#21646: DOC: sparse: Migration Guide rewording and tweaks
#21647: DOC: optimize.root: replace ‘fprime’ with ‘jac’ in
method=’hybr’#21648: DOC/TST:
integrate.cubature: Clean up docstring and add…#21656: API:
integrate.cubature: change some arguments to keyword-only#21657: ENH:
integrate.cubature: support for infinite limits#21658: ENH: stats.chatterjeexi: add xi correlation function
#21663: CI: fix failing conda setup
#21668: BUG: fft.fht: set
u.imag[-1] = 0only whennis even#21672: BUG: ndimage: fix 0d arrays in
_normalize_sequence#21673: BUG: signal.ShortTimeFFT: fix multichannel roundtrip with
mfft…#21678: BUG: fix
nanoutput ofspecial.betaincinv#21680: MAINT:integrate: Silence a few QUADPACK compiler warnings
#21682: DOC: Reduce duplication in user guide
#21686: BUG: signal: int handling for
resample_poly#21689: BUG: optimize: fix bugs found in L-BFGS-B implementation
#21695: ENH:
stats.chisquare: addsum_checkto disable check…#21697: MAINT: signal.lombscargle: fix numerical backward-compat
#21699: BUG: sparse.linalg: remove faulty test of eigval order from ARPACK
#21700: ENH:
stats.Mixture: add mixture distributions for new infrastructure#21701: MAINT: interpolate: remove undocumented nu arg of BSpline.design_matrix
#21702: MAINT: special: clean up factorial corner cases, including complex…
#21703: DOC: sparse: update spdiags handling in
doc_stringand migration…#21705: MAINT: Allow greek Unicode symbols in linter.
#21706: DEP: signal: deprecate object arrays in sosfilt
#21707: ENH:
stats.make_distribution: generate aContinuousDistribution…#21710: ENH: sparse.linalg: convert sparse.linalg to use sparray internally
#21711: BUG: special: Fix formula for division of dual numbers in xsf
#21712: MAINT: special.logsumexp: preserve tiny imaginary components
#21714: TST: stats.sampling: add fail slow exception
#21718: DOC:
stats.bootstrap: improve description ofpaired…#21719: BLD: macos-12 image deprecated [wheel build]
#21721: MAINT: signal: lombscargle docstring tweaks and fix handling…
#21723: DOC: Fixed a typo in the description of
scipy.sparse.csgraph.maximum_bipartite…#21726: ENH: linalg.solve: add
assume_a='banded'#21728: ENH: special: use boost in
nctdtr#21729: MAINT: signal.lombscargle: vectorization changes and handling…
#21730: MAINT: sparse.linalg: use @ for matmul in docs/tests for Linear…
#21731: ENH:
stats.dpareto_lognorm: add double Pareto lognormal…#21734: BUG: cluster: correct type of default value of
distinClusterNode#21737: TST: differentiate: small tolerance bump on failing test
#21739: BLD: fix issue with capitalisation when meson detects Accelerate
#21744: ENH: special: Extend Riemann Zeta function to complex inputs
#21746: ENH: stats: exponential, logarithm, and reciprocal of a random…
#21748: MAINT: Updated pybind11 min version to 2.13.2
#21749: MAINT/DEV: fix
python dev.py ipythonunder Debian 12 / Python…#21751: BUG: array API conformance in cubature
#21752: ENH: stats.truncate: truncated random variables
#21753: DOC: sparse: migration to sparray guide updates
#21754: MAINT: interpolate: rename
interpnd->_interpnd#21756: DOC: interpolate: detail
interp1drecommended replacements#21763: BUG: handle pearsonr constant case with n=2 vectors
#21765: MAINT: remove equality constraint that was impossible to satisfy…
#21767: MAINT:
stats.ContinuousDistribution: protect attributes,…#21768: BUG: sparse: fix ellipsis and bool array indexing combination
#21770: DOC: stats: correct conclusion associated with high p-value
#21773: DEP: special: Remove
special.btdtrandspecial.btdtri#21774: API:
optimize.differential_evolution: transition to Generator…#21776: BUG/ENH/DOC: spatial: Better handle & document
Rotationsplitting#21777: ENH: stats: absolute value of a random variable
#21778: ENH: optimize: add array api support to
rosenand friends#21779: ENH: sparse.csgraph: migrate to use sparray (code changes only)
#21780: BUG: signal: Fix
ShortTimeFFT.extent()forfft_mode ==…#21784: BUG: sparse: fix Asp @ vsp for 1D sparse vector and add tests
#21785: MAINT: optimize: migration to sparray pass 1 changes
#21789: ENH: integrate.nsum: support unimodal functions and infinite…
#21790: ENH: stats: distributions of order statistics
#21792: BUG: sparse: fix setdiag for matrices with missing diagonal entries
#21793: CI: Move free-threaded-wheels.yml into wheels.yml
#21794: BUG: stats.qmc: fix
get_poly_vinitfor multi-threading#21796: MAINT: Update
array_api_compatsubmodule for the 2023.12…#21797: BUG: special: fix array index out of bound for
pro_rad2#21799: ENH: sparse.linalg: add
is_sptriangularandspbandwidth…#21800: DOC: signal.find_peaks: Document that widths are returned
#21801: ENH: extend factorial{,2,k} to allow complex inputs
#21802: MAINT: special: remove dependence of
xsf::numpyonsf_error#21808: BUG:
signal.correlation_lags: fail with meaningful error…#21811: ENH: differentiate: add array API support to
jacobianand…#21812: API: interpolate.BarycentricInterpolator: transition to Generator…
#21815: TST: interpolate: parametrize tests on
griddata#21818: CI: Replace deadsnakes 3.13t by Quansight-Labs/setup-python action
#21819: ENH:
stats.ContinuousDistribution: improve method resolution…#21821: TST: optimize: mark MIP6 tests xslow
#21822: TST:
stats.fit: adjust tests forseed->``rng`` transition#21823: API:
optimize.dual_annealing: adopt SPEC007#21824: BUG: sparse: fix
idx_dtypewhen building index arrays in…#21825: DOC: make
_transition_to_rngreplace documentation ofrng#21827: BUG: special: Fix behavior of
gammaandgammasgnat poles…#21831: DOC: fixup
_transition_to_rngOldest GCC"'rng' is not…#21832: CI: constrain array-api-strict version to allow conversion to…
#21834: DOC: fft.fht: fix typo in example
#21839: MAINT:sparse.linalg: Detach ARPACK and PROPACK code sharing
#21840: DOC: interpolate: add a tutorial page for smoothing splines
#21841: DOC: tone down the text of the “legacy” admonition
#21843: MAINT: stats.lmoment: fixup keepdims behavior
#21845: API:
optimize.check_grad: transition to Generator (SPEC…#21847: API: optimize.basinhopping: transition to Generator (SPEC 7)
#21848: API:
optimize.quadratic_assignment: transition to rng (SPEC…#21849: DOC: interpolate: declare 1D FITPACK wrappers legacy
#21850: BUG: linalg.svd: avoid segmentation fault
#21851: STY: add comment about allowed whitespace in table
#21853: DOC: replace only first paragraph of rng documentation
#21854: API:
stats._resampling: transition to rng (SPEC 7)#21856: MAINT, TST:
test_create_diagonalGPU support#21857: BLD: warn on accelerate + non-native
#21858: ENH: sparse: Add safe casting function for sparse index to sputils
#21859: DOC:
signal.unit_impulse: add explanation about delta#21860: MAINT: improve handling of thread-local storage
#21861: MAINT: special: Use consistent std::isnan and std::isinf in a…
#21864: DEP: remove scipy.misc
#21865: MAINT:
fft: Remove outdated documentation workaround#21867: MAINT: stats.wilcoxon: improve documentation and tests
#21868: BUG: io.matlab: expose
varmats_from_mat#21869: MAINT: stats.ContinuousDistribution: clarify conditions that…
#21870: MAINT: spatial/special: follow-up on
std::isnan,std::isinf#21871: ENH: stats.ContinuousDistribution.sample: generate QMC samples
#21873: DOC: sparse.csgraph: update csgraph docs to use sparray
#21875: MAINT:
interpolate.barycentric_interpolate: add rng argument#21878: API: cluster: transition to rng (SPEC 7)
#21880: API:
linalg.clarkson_woodruff_transform: transition to…#21881: API:
stats: transitiongoodness_of_fit,sobol_indices...#21883: DOC/MAINT: Fix some typos regarding GitHub
#21886: API:
stats.{PermutationMethod,BootstrapMethod}: transition…#21888: API:
sparse: transitionrandom-like functions to…#21891: BUG: spatial: guard
distance_wrapdirectives#21892: MAINT:
_lib: useis_numpyetc helpers from the compat…#21893: MAINT: linalg.interpolative: normalize rng argument (SPEC7)
#21895: MAINT: bump array-api-extra
#21897: MAINT: Hausdorff Generator handling
#21901: MAINT: stats.dpareto_lognorm._cdf: treat special case at x=0
#21903: MAINT: Silence warnings during linprog benchmarks
#21904: BUG: fix nogil LinearNDInterpolator
#21905: MAINT: io: migration to use sparray in IO
#21906: CI: gha update
#21909: DOC: io.loadmat: document
uint16_codecparameter#21912: BUG: integrate.trapezoid: fix broadcasting issue
#21913: API:
spatial.directed_hausdorff: transition to ‘rng’ keyword…#21914: MAINT:
spatial.transform.Rotation.random: transition to…#21916: MAINT, TST: differentiate:
test_examplestolerance bump#21917: BLD: fortran: only use
-std=legacyfor gfortran#21918: BUG:
optimize.curve_fit: fix sigma dimension issue with…#21919: Call
lcovto generate coverage reports for C, C++ and Fortran…#21921: DEP:
stats.ttest_ind: deprecaterandom_stateandpermutation…#21926: REV: Revert “MAINT: io: move
_test_fortranundertests...#21928: DEV:
gh_lists: fix warnings#21929: MAINT: bump array-api-extra to 0.2.0
#21930: TST: sparse.linalg: tweak rtol for flaky
expm_multiplytest#21931: MAINT: stats.qmc: transition to rng (SPEC 7)
#21932: ENH: integrate.nsum: add array API standard support
#21937: TST: linalg.blas: fix test concurrency, mark
\*geras unsafe#21938: TST: linalg: do not call
np.asarray_chkfinite(np.empty((3,…#21941: DOC: add docs on parallel execution and thread safety
#21943: MAINT: mark f2py-generated extension modules as safe to run without…
#21944: MAINT: sparse: add
broadcast_shapesfunction to_sputils.py#21947: TST: stats.chatterjeexi: fix error message
#21948: TST: add more thorough SPEC 7 tests
#21950: CI: fix
Intel oneAPI testsjob#21953: TST: stats.rdist: skip failing xslow test
#21954: ENH: sparse: ensure thread-safety
#21955: ENH: spatial: ensure thread-safety
#21961: MAINT: free-threading: declare HiGHS,
ndimage._rank_filter_1d…#21964: TST: optimize: slight tolerance bump for a dual-annealing test
#21965: ENH: special: ensure tests are thread-safe
#21967: DOC: stats.goodness_of_fit: clarify distinction between known/fit…
#21973: DEV: lint: disable UP031
#21974: DEV: add
conda-buildtoenvironment.yml#21975: CI: use stable NumPy for “old build”
#21976: TST:
optimize.elementwise.bracket_root: fix torch test…#21977: ENH: integrate.tanhsinh: make
_tanhsinhpublic#21979: API: integrate.simpson: allow
xto be passed positionally#21981: MAINT: purge
from __future__ import annotations#21982: DOC: SciPy 1.15.0 relnotes
#21983: BUG: linalg: fix cython import order
#21984: BUG: signal: actually reject objects in correlate/convolve
#21985: DOC: optimize.root: fix docs for
inner_\*parameters#21989: DOC: integrate.tanhsinh: fix reference format; Examples heading
#21990: CI: remove setting macOS 10.9 for SDK and deployment target
#21991: BUG:
stats.sobol_indices: fix mutation of input parameters#21992: DOC: Unhide
toctreeinscipy.clusterwithmaxdepth…#21994: BLD: Remove
ld_classicusage on macOS#21996: ENH:
stats.fisher_exact: extend toR x Ctables#21998: MAINT, DOC: Use Jupytext’s API, and fix cross-platform usage…
#22002: TST: Run complex zeta avoid underflow tests only on platforms…
#22003: DEV: unified git submodule exclusion for tools
#22009: TST: differentiate.jacobian: tolerance bump for float32
#22024: MAINT: version pins/prep for 1.15.0rc1
#22025: DOC: stats: probability tutorial/transition guide
#22026: MAINT: stats.Mixture: fix default
weights#22027: MAINT: stats.ContinuousDistribution: improve doc generation;…
#22030: MAINT:
stats.FoldedDistribution: accommodate for private…#22032: MAINT: fix mypy complaints
#22033: TST: fix sparse.linalg failures for tfmqr and svds
#22036: DOC: adapt to NumPy 2.2 changes for abbreviation of large arrays
#22037: MAINT: stats: Add custom reprs for transformed distributions
#22040: MAINT:
stats.make_distribution: support more existing distributions#22043: ENH: sparse: make two sputils public for easier index array casting
#22048: TST: integrate.tanhsinh: fix abscissae/weight “compression” bug
#22050: MAINT:
stats.order_statistic: overridesupport#22058: DOC:
stats.order_statistic: add ‘Returns’ section#22059: TST: temp skip of extending tests
#22067: MAINT: 1.15.0rc1 backports
#22078: REL: set 1.15.0rc2 unreleased
#22081: MAINT: Add
__str__overrides for distributions in new infra…#22082: BUG, DOC: fixup md5 hash reporting
#22085: DOC: sparse: explicit dtypes for nonzero()
#22091: DOC: Update special release notes
#22098: DOC: mention the removal of AccuracyWarning
#22099: DEP: update version in deprecation warning of interpnd
#22104: DOC: 1.15.0 release note updates
#22106: DOC: sparse: correct
eye_arraydocs for first shape input…#22107: MAINT/DOC: Doctests fix scpdt 1.6
#22113: ENH: sparse: enhance dtype checking in constructors
#22124: DOC: Fix incorrect reference to “Random Variable Transition Guide”…
#22129: ENH: sparse: nD cleanup and docs
#22135: MAINT: _lib: add missing f string to _deprecate_positional_args
#22139: MAINT: stats._SimpleDomain: ensure that instances do not share…
#22149: MAINT: stats.ContinuousDistribution.llf: remove method
#22150: MAINT: SciPy 1.15.0rc2 backports
#22156: DEP: deprecation warnings for
special.lpnand[c]lpmn#22158: MAINT: accept ndarray subclasses in interpolate._dierckx
#22162: TYP: temporarily ignore the
numpy==2.2.1mypy errors#22167: DEP: special: deprecation warning for
sph_harm+ comments#22168: BUG: fix incorrect values in factorial for 0 with uint dtypes
#22175: MAINT: stats: fix thread-safety issues under free-threaded CPython
#22177: MAINT: fix extension module not declaring free-threading support,…
#22181: REL: set 1.15.0rc3 unreleased
#22193: DEP: linalg.solve_toeplitz/matmul_toeplitz: warn on n-D
c...#22225: DOC: differentiate.jacobian: correct/improve documentation about…