| Index | index by Group | index by Distribution | index by Vendor | index by creation date | index by Name | Mirrors | Help | Search |
| Name: python312-scipy-gnu-hpc | Distribution: openSUSE Tumbleweed |
| Version: 1.14.1 | Vendor: openSUSE |
| Release: 8.1 | Build date: Fri Sep 6 20:26:08 2024 |
| Group: Productivity/Scientific/Other | Build host: reproducible |
| Size: 205 | Source RPM: python-scipy_1_13_1-gnu-hpc-1.14.1-8.1.src.rpm |
| Packager: https://bugs.opensuse.org | |
| Url: https://www.scipy.org | |
| Summary: Dependency package for python312-scipy_1_13_1-gnu-hpc | |
python312-scipy: Scientific Tools for Python The package python312-scipy-gnu-hpc provides the dependency to get binary package python312-scipy_1_13_1-gnu-hpc. When this package gets updated it installs the latest version of python312-scipy_1_13_1-gnu-hpc.
BSD-3-Clause AND LGPL-2.0-or-later AND BSL-1.0
* Fri Sep 06 2024 Ben Greiner <code@bnavigator.de>
- Add scipy-pybind11-2.13.patch gh#scipy/scipy#21199
- Rename 21063.patch to scipy-pr21063-gcc14.patch
* Sat Aug 31 2024 Ben Greiner <code@bnavigator.de>
- Update to SciPy 1.14.1
* Add support for Python 3.13
* Bug-fix release with no new features compared to 1.14.0.
* Thu Jul 11 2024 Ben Greiner <code@bnavigator.de>
- Fix hpc build: Provide f2py with correct shebang for build-time
* Mon Jul 01 2024 John Paul Adrian Glaubitz <adrian.glaubitz@suse.com>
- Update to 1.14.0
[#]# Highlights of this release
* SciPy now supports the new Accelerate library introduced in macOS 13.3, and
has wheels built against Accelerate for macOS >=14 resulting in significant
performance improvements for many linear algebra operations.
* A new method, ``cobyqa``, has been added to `scipy.optimize.minimize` - this
is an interface for COBYQA (Constrained Optimization BY Quadratic
Approximations), a derivative-free optimization solver, designed to
supersede COBYLA, developed by the Department of Applied Mathematics, The
Hong Kong Polytechnic University.
* `scipy.sparse.linalg.spsolve_triangular` is now more than an order of
magnitude faster in many cases.
[#]# New features
[#] `scipy.fft` improvements
* A new function, `scipy.fft.prev_fast_len`, has been added. This function
finds the largest composite of FFT radices that is less than the target
length. It is useful for discarding a minimal number of samples before FFT.
[#]`scipy.io` improvements
* ``wavfile`` now supports reading and writing of ``wav`` files in the RF64
format, allowing files greater than 4 GB in size to be handled.
[#]`scipy.constants` improvements
* Experimental support for the array API standard has been added.
[#]`scipy.interpolate` improvements
* `scipy.interpolate.Akima1DInterpolator` now supports extrapolation via the
``extrapolate`` argument.
[#]`scipy.optimize` improvements
* `scipy.optimize.HessianUpdateStrategy` now also accepts square arrays for
``init_scale``.
* A new method, ``cobyqa``, has been added to `scipy.optimize.minimize` - this
is an interface for COBYQA (Constrained Optimization BY Quadratic
Approximations), a derivative-free optimization solver, designed to
supersede COBYLA, developed by the Department of Applied Mathematics, The
Hong Kong Polytechnic University.
* There are some performance improvements in
`scipy.optimize.differential_evolution`.
* `scipy.optimize.approx_fprime` now has linear space complexity.
[#]`scipy.signal` improvements
* `scipy.signal.minimum_phase` has a new argument ``half``, allowing the
provision of a filter of the same length as the linear-phase FIR filter
coefficients and with the same magnitude spectrum.
[#]`scipy.sparse` improvements
* Sparse arrays now support 1D shapes in COO, DOK and CSR formats.
These are all the formats we currently intend to support 1D shapes.
Other sparse array formats raise an exception for 1D input.
* Sparse array methods min/nanmin/argmin and max analogs now return 1D arrays.
Results are still COO format sparse arrays for min/nanmin and
dense ``np.ndarray`` for argmin.
* Sparse matrix and array objects improve their ``repr`` and ``str`` output.
* A special case has been added to handle multiplying a ``dia_array`` by a
scalar, which avoids a potentially costly conversion to CSR format.
* `scipy.sparse.csgraph.yen` has been added, allowing usage of Yen's K-Shortest
Paths algorithm on a directed on undirected graph.
* Addition between DIA-format sparse arrays and matrices is now faster.
* `scipy.sparse.linalg.spsolve_triangular` is now more than an order of
magnitude faster in many cases.
[#]`scipy.spatial` improvements
* ``Rotation`` supports an alternative "scalar-first" convention of quaternion
component ordering. It is available via the keyword argument ``scalar_first``
of ``from_quat`` and ``as_quat`` methods.
* Some minor performance improvements for inverting of ``Rotation`` objects.
[#]`scipy.special` improvements
* Added `scipy.special.log_wright_bessel`, for calculation of the logarithm of
Wright's Bessel function.
* The relative error in `scipy.special.hyp2f1` calculations has improved
substantially.
* Improved behavior of ``boxcox``, ``inv_boxcox``, ``boxcox1p``, and
``inv_boxcox1p`` by preventing premature overflow.
[#]`scipy.stats` improvements
* A new function `scipy.stats.power` can be used for simulating the power
of a hypothesis test with respect to a specified alternative.
* The Irwin-Hall (AKA Uniform Sum) distribution has been added as
`scipy.stats.irwinhall`.
* Exact p-value calculations of `scipy.stats.mannwhitneyu` are much faster
and use less memory.
* `scipy.stats.pearsonr` now accepts n-D arrays and computes the statistic
along a specified ``axis``.
* `scipy.stats.kstat`, `scipy.stats.kstatvar`, and `scipy.stats.bartlett`
are faster at performing calculations along an axis of a large n-D array.
[#]# 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, or CuPy arrays as array arguments.
* As of 1.14.0, there is support for
* `scipy.cluster`
* `scipy.fft`
* `scipy.constants`
* `scipy.special`: (select 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`
* `scipy.special.expit`
* `scipy.special.entr`
* `scipy.special.rel_entr`
* `scipy.special.xlogy`
* `scipy.special.chdtrc`
* `scipy.stats`: (select functions)
* `scipy.stats.describe`
* `scipy.stats.moment`
* `scipy.stats.skew`
* `scipy.stats.kurtosis`
* `scipy.stats.kstat`
* `scipy.stats.kstatvar`
* `scipy.stats.circmean`
* `scipy.stats.circvar`
* `scipy.stats.circstd`
* `scipy.stats.entropy`
* `scipy.stats.variation`
* `scipy.stats.sem`
* `scipy.stats.ttest_1samp`
* `scipy.stats.pearsonr`
* `scipy.stats.chisquare`
* `scipy.stats.skewtest`
* `scipy.stats.kurtosistest`
* `scipy.stats.normaltest`
* `scipy.stats.jarque_bera`
* `scipy.stats.bartlett`
* `scipy.stats.power_divergence`
* `scipy.stats.monte_carlo_test`
[#]# Deprecated features
* `scipy.stats.gstd`, `scipy.stats.chisquare`, and
`scipy.stats.power_divergence` have deprecated support for masked array
input.
* `scipy.stats.linregress` has deprecated support for specifying both samples
in one argument; ``x`` and ``y`` are to be provided as separate arguments.
* The ``conjtransp`` method for `scipy.sparse.dok_array` and
`scipy.sparse.dok_matrix` has been deprecated and will be removed in SciPy
1.16.0.
* The option ``quadrature="trapz"`` in `scipy.integrate.quad_vec` has been
deprecated in favour of ``quadrature="trapezoid"`` and will be removed in
SciPy 1.16.0.
* ``scipy.special.{comb,perm}`` have deprecated support for use of ``exact=True`` in
conjunction with non-integral ``N`` and/or ``k``.
[#]# Backwards incompatible changes
* Many `scipy.stats` functions now produce a standardized warning message when
an input sample is too small (e.g. zero size). Previously, these functions
may have raised an error, emitted one or more less informative warnings, or
emitted no warnings. In most cases, returned results are unchanged; in almost
all cases the correct result is ``NaN``.
[#]# Expired deprecations
There is an ongoing effort to follow through on long-standing deprecations.
The following previously deprecated features are affected:
* Several previously deprecated methods for sparse arrays were removed:
``asfptype``, ``getrow``, ``getcol``, ``get_shape``, ``getmaxprint``,
``set_shape``, ``getnnz``, and ``getformat``. Additionally, the ``.A`` and
``.H`` attributes were removed.
* ``scipy.integrate.{simps,trapz,cumtrapz}`` have been removed in favour of
``simpson``, ``trapezoid``, and ``cumulative_trapezoid``.
* The ``tol`` argument of ``scipy.sparse.linalg.{bcg,bicstab,cg,cgs,gcrotmk,
mres,lgmres,minres,qmr,tfqmr}`` has been removed in favour of ``rtol``.
Furthermore, the default value of ``atol`` for these functions has changed
to ``0.0``.
* The ``restrt`` argument of `scipy.sparse.linalg.gmres` has been removed in
favour of ``restart``.
* The ``initial_lexsort`` argument of `scipy.stats.kendalltau` has been
removed.
* The ``cond`` and ``rcond`` arguments of `scipy.linalg.pinv` have been
removed.
* The ``even`` argument of `scipy.integrate.simpson` has been removed.
* The ``turbo`` and ``eigvals`` arguments from ``scipy.linalg.{eigh,eigvalsh}``
have been removed.
* The ``legacy`` argument of `scipy.special.comb` has been removed.
* The ``hz``/``nyq`` argument of ``signal.{firls, firwin, firwin2, remez}`` has
been removed.
* Objects that weren't part of the public interface but were accessible through
deprecated submodules have been removed.
* ``float128``, ``float96``, and object arrays now raise an error in
`scipy.signal.medfilt` and `scipy.signal.order_filter`.
* ``scipy.interpolate.interp2d`` has been replaced by an empty stub (to be
removed completely in the future).
* Coinciding with changes to function signatures (e.g. removal of a deprecated
keyword), we had deprecated positional use of keyword arguments for the
affected functions, which will now raise an error. Affected functions are:
* ``sparse.linalg.{bicg, bicgstab, cg, cgs, gcrotmk, gmres, lgmres, minres,
qmr, tfqmr}``
* ``stats.kendalltau``
* ``linalg.pinv``
* ``integrate.simpson``
* ``linalg.{eigh,eigvalsh}``
* ``special.comb``
* ``signal.{firls, firwin, firwin2, remez}``
[#]# Other changes
* SciPy now uses C17 as the C standard to build with, instead of C99. The C++
standard remains C++17.
* macOS Accelerate, which got a major upgrade in macOS 13.3, is now supported.
This results in significant performance improvements for linear algebra
operations, as well as smaller binary wheels.
* Cross-compilation should be smoother and QEMU or similar is no longer needed
to run the cross interpreter.
* Experimental array API support for the JAX backend has been added to several
parts of SciPy.
- Cherry-pick upstream patch to fix build with GCC 14
* https://github.com/scipy/scipy/pull/21063.patch
- Update BuildRequires from pyproject.toml
* Sun May 26 2024 Ben Greiner <code@bnavigator.de>
- Update to 1.13.1
* SciPy 1.13.1 is a bug-fix release with no new features compared
to 1.13.0.
[#]# Issues closed
* BUG: `scipy.ndimage.value_indices` returns empty dict for
`intc`/`uintc` dtype on Windows
* BUG: csr_array can no longer be initialized with 1D array
* BUG: `TestEig.test_falker` fails on windows + MKL as well as…
* BUG: Cannot find `OpenBLAS` on Cygwin
* BUG: special.spherical_in: derivative at `z=0, n=1` incorrect
* BUG: `eigh` fails for size 1 array with driver=evd
* BUG: warning from `optimize.least_squares` for astropy with…
* BUG: spatial: error in `Rotation.align_vectors()` with an
infinite…
* BUG: scipy.special.factorial2 doesn’t handle `uint32` dtypes
* BUG: scipy.stats.wilcoxon in 1.13 fails on 2D array with nan…
* BUG: scipy.spatial.Delaunay,
scipy.interpolate.LinearNDInterpolator…
* BUG: stats.yulesimon: incorrect kurtosis values
* BUG: incorrect origin tuple handling in ndimage
`minimum_filter`…
* BUG: spatial: `Rotation.align_vectors()` incorrect for
anti-parallel…
* BUG: sparse matrix creation in 1.13 with indices not summing…
* BUG: stats.zipf: incorrect pmf values
- Allow pythran 0.16: Upstream's pre-emptive pin is not necessary
- Drop scipy-pr20530-f2py_error.patch
* Sun May 12 2024 Sarah Kriesch <sarah.kriesch@opensuse.org>
- Enable python-scipy:gnu-hpc for s390x (together with python-numpy:gnu-hpc)
* Thu May 09 2024 Sarah Kriesch <sarah.kriesch@opensuse.org>
- Enable openblas for s390x
* Wed Apr 24 2024 Ben Greiner <code@bnavigator.de>
- Skip another test out of numeric precision for 32-bit
- Fix HPC _version
* Fri Apr 19 2024 Ben Greiner <code@bnavigator.de>
- Update to 1.13.0
[#]# Highlights of this release
* Support for NumPy 2.0.0.
* Interactive examples have been added to the documentation,
allowing users to run the examples locally on embedded
Jupyterlite notebooks in their browser.
* Preliminary 1D array support for the COO and DOK sparse
formats.
* Several scipy.stats functions have gained support for
additional axis, nan_policy, and keepdims arguments.
scipy.stats also has several performance and accuracy
improvements.
[#]# New features
* scipy.integrate improvements
* scipy.io improvements
* scipy.interpolate improvements
* scipy.signal improvements
* scipy.sparse improvements
* scipy.spatial improvements
* scipy.special improvements
* scipy.stats improvements
[#]# Deprecated features
* Complex dtypes in PchipInterpolator and Akima1DInterpolator
have been deprecated and will raise an error in SciPy 1.15.0.
If you are trying to use the real components of the passed
array, use np.real on y.
[#]# Other changes
* The second argument of scipy.stats.moment has been renamed to
order while maintaining backward compatibility.
- Release 1.12.0
[#]# 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
* scipy.fft improvements
* scipy.integrate improvements
* scipy.interpolate improvements
* scipy.linalg improvements
* scipy.ndimage improvements
* scipy.optimize improvements
* scipy.signal improvements
* scipy.sparse improvements
* scipy.spatial improvements
* scipy.special improvements
* scipy.stats improvements
[#]# 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 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.
* Functions from NumPy’s main namespace which were exposed in
SciPy’s main namespace, such as numpy.histogram exposed by
scipy.histogram, have been removed from SciPy’s main namespace.
Please use the functions directly from numpy.
[#]# Other changes
* The arguments used to compile and link SciPy are now available
via show_config.
- Drop 8c96a1f742335bca283aae418763aaba62c03378.patch (merged
upstream)
- Add scipy-pr20530-f2py_error.patch gh#scipy/scipy#20530, used to
find workaround for failing HPC build gh#scipy/scipy#20535
* Tue Feb 27 2024 Egbert Eich <eich@suse.com>
- Add 8c96a1f742335bca283aae418763aaba62c03378.patch
to fix issues with OpenBLAS 0.3.26 and later (boo#1220163).
* Mon Jan 22 2024 Daniel Garcia <daniel.garcia@suse.com>
- Disable broken tests in s390x, gh#scipy/scipy#18878, bsc#1218608
* Tue Nov 21 2023 Steve Kowalik <steven.kowalik@suse.com>
- Update to 1.11.4:
* MAINT: ensure cobyla objective returns scalar
* MAINT: fixup dep warning
* BUG: interpolate: fix spalde with len(c) < len(t)
* BUG: pass unused xrtol in fmin_bfgs to _minimize_bfgs
* BUG: Regression test for lsq trf boundary error
* BUG: lsq trf gives x=1e-10 if x0 is near a bound
* BUG: make Bessel-roots function not hang and not skip roots
* io/matlab: Fix loading of mat files containing fn handles when
simplify_cells=True
* BUG: make L-BFGS-B work with single precision gradient
* MAINT: stats: fix NumPy DeprecationWarnings
* BUG: sparse.linalg: Cast to intc before SuperLU
* MAINT: Use deb_system scheme to match meson's path inference & fix aarch64
* BUG: Fix python3.12 distutils dev.py build
* BUG: stats: remove use of `BOOST_MATH_DECLARE_SPECIAL_FUNCTIONS`
* MAINT: fix libquadmath licence
* MAINT: newton, make sure x0 is an inexact type
* MAINT: stats.CovViaEigendecomposition: fix _colorize for singular
covariance
* TST: fix `TestODR.test_implicit` test failure with tolerance bump
* BUG: signal: freqz rfft grid fix
* BUG: Support sparse arrays in scipy.sparse.csgraph.laplacian
* MAINT: signal: Remove the cval parameter from the private function
_pad_test.
* BLD: Avoid absolute pathnames in .pyx files
* BUG: Add back make_strictly_feasible to lsq trf.
* MAINT: should not be using np.float64() on arrays
* BUG: trust-constr Bounds exclusive
* BUG: sparse.csgraph: Support int64 indices in traversal.pyx
* BUG: add infeasibility checks to min_weight_full_bipartite_matching
* DOC, MAINT: workaround for py311 docs
* BUG: Fix typecasting problem in scipy.sparse.lil_matrix truediv
* BUG: In least_squares make initial guess sufficiently feasible w.r.t.
to bounds for method 'trf'
* BUG: fix pow method for sparrays with power zero
* BUG: set idx_dtype in sparse dia_array.tocoo
- Drop patch intc.patch, included.
* Mon Oct 09 2023 ecsos <ecsos@opensuse.org>
- Let it build for Leap 15.6 also.
* Thu Jul 27 2023 Markéta Machová <mmachova@suse.com>
- Add upstream intc.patch to fix gh#scipy/scipy#18603
* Tue Jul 25 2023 Markéta Machová <mmachova@suse.com>
- Update to 1.11.1
* Several scipy.sparse array API improvements, including sparse.sparray,
a new public base class distinct from the older sparse.spmatrix class,
proper 64-bit index support, and numerous deprecations paving the way
to a modern sparse array experience.
* scipy.stats added tools for survival analysis, multiple hypothesis
testing, sensitivity analysis, and working with censored data.
* A new function was added for quasi-Monte Carlo integration, and linear
algebra functions det and lu now accept nD-arrays.
* An axes argument was added broadly to ndimage functions, facilitating
analysis of stacked image data.
* Thu Jun 29 2023 Andreas Schneider <asn@cryptomilk.org>
- Use sle15_python_module_pythons
- Require GCC >= 8
* Fri Mar 10 2023 Martin Liška <mliska@suse.cz>
- Fix i686 tests for GCC 13 due to:
https://gcc.gnu.org/gcc-13/porting_to.html#excess-precision
* Sun Feb 26 2023 Ben Greiner <code@bnavigator.de>
- Update to 1.10.1
* bug-fix release with no new features compared to 1.10.0
- Drop scipy-pr17717-ro-interpn.patch
* Mon Jan 16 2023 Ben Greiner <code@bnavigator.de>
- Highlights of the 1.10.0 release
* A new dedicated datasets submodule (scipy.datasets) has been
added, and is now preferred over usage of scipy.misc for
dataset retrieval.
* A new scipy.interpolate.make_smoothing_spline function was
added. This function constructs a smoothing cubic spline from
noisy data, using the generalized cross-validation (GCV)
criterion to find the tradeoff between smoothness and proximity
to data points.
* scipy.stats has three new distributions, two new hypothesis
tests, three new sample statistics, a class for greater control
over calculations involving covariance matrices, and many other
enhancements.
- Add scipy-pr17717-ro-interpn.patch gh#scipy/scipy#17717
* Fixes gh#spacetelescope/gwcs#433
- Provide scipy-datasets.tar.gz for pooch cache and tests without
needing to download during test time.
* Wed Jan 11 2023 Guillaume GARDET <guillaume.gardet@opensuse.org>
- Update to version 1.10.0
- Drop upstream pacthes:
* fix-tests.patch
* fix-tests-pytest72.patch
* scipy-pr17467-no-np.int0.patch
* Fri Dec 23 2022 Ben Greiner <code@bnavigator.de>
- Add scipy-pr17467-no-np.int0.patch gh#scipy/scipy#17467
- Move the flavored packaganame definition so that quilt does not
fail
* Thu Dec 08 2022 Dominique Leuenberger <dimstar@opensuse.org>
- Ensure the test flavor has a different source name than the main
flavor: OBS uses the source names to create the dep-chain. With
the test package having the same name as the mani flavor, all
builds behind python-scipy are blocked until the test suite
passed.
* Wed Dec 07 2022 Daniel Garcia <daniel.garcia@suse.com>
- Add fix-tests-pytest72.patch to fix the tests that fails with pytest 7
gh#scipy/scipy#17296
* Fri Dec 02 2022 Daniel Garcia <daniel.garcia@suse.com>
- Add fix-tests.patch gh#scipy/scipy#16926#issuecomment-1287507634
* Thu Oct 20 2022 Ben Greiner <code@bnavigator.de>
- Update to version 1.9.3
* SciPy 1.9.3 is a bug-fix release with no new features compared
to 1.9.2.
* #3691: scipy.interpolate.UnivariateSpline segfault
* #5286: BUG: multivariate_normal returns a pdf for values
outside its…
* #6551: BUG: stats: inconsistency in docs and behavior of gmean
and hmean
* #9245: running
scipy.interpolate.tests.test_fitpack::test_bisplev_integer_overflow…
* #12471: test_bisplev_integer_overflow: Segmentation fault (core
dumped)
* #13321: Bug: setting iprint=0 hides all output from
fmin_l_bfgs_b, but…
* #13730: `scipy.stats.mood` does not correct for ties
* #14019: ks_2samp throws `RuntimeWarning: overflow encountered
in double_scalars`
* #14589: `shgo` error since scipy 1.8.0.dev0+1529.803e52d
* #14591: Input data validation for RectSphereBivariateSpline
* #15101: BUG: binom.pmf - RuntimeWarning: divide by zero
* #15342: BUG: scipy.optimize.minimize: Powell’s method function
evaluated…
* #15964: BUG: lombscargle fails if argument is a view
* #16211: BUG: Possible bug when using winsorize on pandas data
instead…
* #16459: BUG: stats.ttest_ind returns wrong p-values with
permutations
* #16500: odr.Model default meta value fails with __getattr__
* #16519: BUG: Error in error message for incorrect sample
dimension in…
* #16527: BUG: dimension of isuppz in syevr is mistranslated
* #16600: BUG: `KDTree`’s optional argument `eps` seems to have
no…
* #16656: dtype not preserved with operations on sparse arrays
* #16751: BUG: `stats.fit` on `boltzmann` expects `bound` for
`lambda`,…
* #17012: BUG: Small oversight in sparse.linalg.lsmr?
* #17020: BUG: Build failure due to problems with shebang line in
cythoner.py
* #17088: BUG: stats.rayleigh.fit: returns `loc` that is
inconsistent…
* #17104: BUG? Incorrect branch in `LAMV` / `_specfunc.lamv`
* #17196: DOC: keepdims in stats.mode is incorrectly documented
- Move multibuild flavor ":standard" to unflavored build
- Test in parallel (pytest-xdist)
* Tue Oct 11 2022 Ben Greiner <code@bnavigator.de>
- Update to version 1.9.2
* SciPy 1.9.2 is a bug-fix release with no new features compared
to 1.9.1.
* Sat Sep 10 2022 Ben Greiner <code@bnavigator.de>
- Update to version 1.9.1
* SciPy 1.9.1 is a bug-fix release with no new features compared
to 1.9.0. Notably, some important meson build fixes are
included.
- Release 1.9.0
* Full changelog at
https://docs.scipy.org/doc/scipy/release.1.9.0.html
- Highlights of the 1.9.0 release:
* We have modernized our build system to use meson,
substantially improving our build performance, and providing
better build-time configuration and cross-compilation support,
* Added scipy.optimize.milp, new function for mixed-integer
linear programming,
* Added scipy.stats.fit for fitting discrete and continuous
distributions to data,
* Tensor-product spline interpolation modes were added to
scipy.interpolate.RegularGridInterpolator,
* A new global optimizer (DIviding RECTangles algorithm)
scipy.optimize.direct.
- Switch to meson-python PEP517 build
* Mon Jul 18 2022 Ben Greiner <code@bnavigator.de>
- Keep lowercase egg-info despite setuptools 60+
* Sat May 21 2022 andy great <andythe_great@pm.me>
- Update to version 1.8.1.
* Bug-fix release with no new features.
* Tue Apr 12 2022 Martin Liška <mliska@suse.cz>
- With the previously added -ffloat-store, some tests that fail on i586.
Disable them.
* Tue Apr 12 2022 Martin Liška <mliska@suse.cz>
- Limit double floating point precision for x87, triggered by GCC 12.
Fixes test_kolmogorov.py Fatal Python error: Floating point exception
which is a double floating-point test.
* Mon Mar 28 2022 Ben Greiner <code@bnavigator.de>
- Update to version 1.8.0
* https://scipy.github.io/devdocs/release.1.8.0.html
* SciPy 1.8.0 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. 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).
* A sparse array API has been added for early testing and
feedback; this work is ongoing, and users should expect minor
API refinements over the next few releases.
* The sparse SVD library PROPACK is now vendored with SciPy, and
an interface is exposed via scipy.sparse.svds with
solver='PROPACK'. It is currently default-off due to potential
issues on Windows that we aim to resolve in the next release,
but can be optionally enabled at runtime for friendly testing
with an environment variable setting of USE_PROPACK=1.
* A new scipy.stats.sampling submodule that leverages the UNU.RAN
C library to sample from arbitrary univariate non-uniform
continuous and discrete distributions
* All namespaces that were private but happened to miss
underscores in their names have been deprecated.
* Backwards incompatible changes
- SciPy has raised the minimum compiler versions to GCC 6.3 on
linux and VS2019 on windows. In particular, this means that
SciPy may now use C99 and C++14 features. For more details
see here.
- The result for empty bins for scipy.stats.binned_statistic
with the builtin 'std' metric is now nan, for consistency
with np.std.
- The function scipy.spatial.distance.wminkowski has been
removed. To achieve the same results as before, please use
the minkowski distance function with the (optional) w=
keyword-argument for the given weight.
* Sat Jan 29 2022 Ben Greiner <code@bnavigator.de>
- Provide empty debuginfo extraction for :test flavor
* Sun Jan 23 2022 Ben Greiner <code@bnavigator.de>
- Update to version 1.7.3
* 3rd bugfix release since 1.7.0
- Highlights from the 1.7.0 release
* A new submodule for quasi-Monte Carlo, scipy.stats.qmc, was
added
* The documentation design was updated to use the same
PyData-Sphinx theme as NumPy and other ecosystem libraries.
* We now vendor and leverage the Boost C++ library to enable
numerous improvements for long-standing weaknesses in
scipy.stats
* scipy.stats has six new distributions, eight new (or
overhauled) hypothesis tests, a new function for bootstrapping,
a class that enables fast random variate sampling and
percentile point function evaluation, and many other
enhancements.
* cdist and pdist distance calculations are faster for several
metrics, especially weighted cases, thanks to a rewrite to a
new C++ backend framework
* A new class for radial basis function interpolation,
RBFInterpolator, was added to address issues with the Rbf
class.
- Enable fast part of the test suite
* Mon Jul 26 2021 Andreas Schwab <schwab@suse.de>
- Enable openblas on riscv64
* Mon May 03 2021 Arun Persaud <arun@gmx.de>
- update to version 1.6.3:
* Issues closed
+ #13772: Divide by zero in distance.yule
+ #13796: CI: prerelease_deps failures
+ #13890: TST: spatial rotation failure in (1.6.3) wheels repo
(ARM64)
* Pull requests
+ #13755: CI: fix the matplotlib warning emitted during builing
docs
+ #13773: BUG: Divide by zero in yule dissimilarity of constant
vectors
+ #13799: CI/MAINT: deprecated np.typeDict
+ #13819: substitute np.math.factorial with math.factorial
+ #13895: TST: add random seeds in Rotation module
* Sun Apr 04 2021 Arun Persaud <arun@gmx.de>
- update to version 1.6.2:
* Issues closed for 1.6.2
+ #13512: `stats.gaussian_kde.evaluate` broken on S390X
+ #13584: rotation._compute_euler_from_matrix() creates an array
with negative...
+ #13585: Behavior change in coo_matrix when dtype=None
+ #13686: delta0 argument of scipy.odr.ODR() ignored
* Pull requests for 1.6.2
+ #12862: REL: put upper bounds on versions of dependencies
+ #13575: BUG: fix `gaussian_kernel_estimate` on S390X
+ #13586: BUG: sparse: Create a utility function `getdata`
+ #13598: MAINT, BUG: enforce contiguous layout for output array
in Rotation.as_euler
+ #13687: BUG: fix scipy.odr to consider given delta0 argument
* Wed Mar 03 2021 Arun Persaud <arun@gmx.de>
- update to version 1.6.1:
* Issues closed
+ #13072: BLD: Quadpack undefined references
+ #13241: Not enough values to unpack when passing tuple to
`blocksize`...
+ #13329: Large sparse matrices of big integers lose information
+ #13342: fftn crashes if shape arguments are supplied as ndarrays
+ #13356: LSQBivariateSpline segmentation fault when quitting the
Python...
+ #13358: scipy.spatial.transform.Rotation object can not be
deepcopied...
+ #13408: Type of `has_sorted_indices` property
+ #13412: Sorting spherical Voronoi vertices leads to crash in
area calculation
+ #13421: linear_sum_assignment - support for matrices with more
than 2^31...
+ #13428: `stats.exponnorm.cdf` returns `nan` for small values of
`K`...
+ #13465: KDTree.count_neighbors : 0xC0000005 error for tuple of
different...
+ #13468: directed_hausdorff issue with shuffle
+ #13472: Failures on FutureWarnings with numpy 1.20.0 for
lfilter, sosfilt...
+ #13565: BUG: 32-bit wheels repo test failure in optimize
* Pull requests
+ #13318: REL: prepare for SciPy 1.6.1
+ #13344: BUG: fftpack doesn't work with ndarray shape argument
+ #13345: MAINT: Replace scipy.take with numpy.take in FFT
function docstrings.
+ #13354: BUG: optimize: rename private functions to include
leading underscore
+ #13387: BUG: Support big-endian platforms and big-endian WAVs
+ #13394: BUG: Fix Python crash by allocating larger array in
LSQBivariateSpline
+ #13400: BUG: sparse: Better validation for BSR ctor
+ #13403: BUG: sparse: Propagate dtype through CSR/CSC
constructors
+ #13414: BUG: maintain dtype of SphericalVoronoi regions
+ #13422: FIX: optimize: use npy_intp to store array dims for lsap
+ #13425: BUG: spatial: make Rotation picklable
+ #13426: BUG: `has_sorted_indices` and `has_canonical_format`
should...
+ #13430: BUG: stats: Fix exponnorm.cdf and exponnorm.sf for small
K
+ #13470: MAINT: silence warning generated by
`spatial.directed_hausdorff`
+ #13473: TST: fix failures due to new FutureWarnings in NumPy
1.21.dev0
+ #13479: MAINT: update directed_hausdorff Cython code
+ #13485: BUG: KDTree weighted count_neighbors doesn't work
between two...
+ #13503: TST: fix `test_fortranfile_read_mixed_record` on
big-endian...
+ #13518: DOC: document that pip >= 20.3.3 is needed for macOS 11
+ #13520: BLD: update reqs based on oldest-supported-numpy in
pyproject.toml
+ #13567: TST, BUG: adjust tol on test_equivalence
* Sat Jan 16 2021 Benjamin Greiner <code@bnavigator.de>
- NEP 29: Last minorversion bump deprecated Python 3.6
https://numpy.org/neps/nep-0029-deprecation_policy.html
- Fix hpc setup for coinstallable python3 flavors, needs
gh#openSUSE/hpc#3
* Tue Jan 05 2021 Paolo Stivanin <info@paolostivanin.com>
- Update to 1.6.0:
* scipy.ndimage improvements: Fixes and ehancements to boundary extension
modes for interpolation functions. Support for complex-valued inputs
in many filtering and interpolation functions. New grid_mode option
for scipy.ndimage.zoom to enable results consistent with scikit-image’s rescale.
* scipy.optimize.linprog has fast, new methods for large, sparse
problems from the HiGHS library.
* scipy.stats improvements including new distributions, a new test,
and enhancements to existing distributions and tests
* scipy.special now has improved support for 64-bit LAPACK backend
* scipy.odr now has support for 64-bit integer BLAS
* scipy.odr.ODR has gained an optional overwrite argument so that
existing files may be overwritten.
* scipy.cluster.hierarchy.DisjointSet has been added for incremental
connectivity queries.
* scipy.cluster.hierarchy.dendrogram return value now also includes
leaf color information in leaves_color_list.
* scipy.interpolate.interp1d has a new method nearest-up, similar to
the existing method nearest but rounds half-integers up instead of down.
* scipy.ndimage.convolve, scipy.ndimage.correlate and their 1d counterparts
now accept both complex-valued images and/or complex-valued filter kernels.
All convolution-based filters also now accept complex-valued inputs
* scipy.optimize.linprog has fast, new methods for large, sparse problems
from the HiGHS C++ library
* scipy.optimize.quadratic_assignment has been added for approximate solution of
the quadratic assignment problem.
* scipy.optimize.linear_sum_assignment now has a substantially reduced
overhead for small cost matrix sizes
* scipy.optimize.least_squares has improved performance when the user
provides the jacobian as a sparse jacobian already in csr_matrix format
* scipy.signal.gammatone has been added to design FIR or IIR filters that
model the human auditory system.
* scipy.signal.iircomb has been added to design IIR peaking/notching
comb filters that can boost/attenuate a frequency from a signal.
* scipy.signal.sosfilt performance has been improved to avoid some
previously- observed slowdowns
* scipy.signal.windows.taylor has been added–the Taylor window function
is commonly used in radar digital signal processing
* scipy.signal.gauss_spline now supports list type input for consistency
with other related SciPy functions
* scipy.signal.correlation_lags has been added to allow calculation of
the lag/ displacement indices array for 1D cross-correlation.
/usr/share/doc/packages/python312-scipy-gnu-hpc /usr/share/doc/packages/python312-scipy-gnu-hpc/README.python312-scipy_1_13_1-gnu-hpc
Generated by rpm2html 1.8.1
Fabrice Bellet, Tue Nov 19 01:14:14 2024