Changelog for python310-scipy_1_13_1-gnu-hpc-1.13.1-1.1.x86_64.rpm :

* Sun May 26 2024 Ben Greiner - 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 - Enable python-scipy:gnu-hpc for s390x (together with python-numpy:gnu-hpc)
* Thu May 09 2024 Sarah Kriesch - Enable openblas for s390x
* Wed Apr 24 2024 Ben Greiner - Skip another test out of numeric precision for 32-bit- Fix HPC _version
* Fri Apr 19 2024 Ben Greiner - 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 - Add 8c96a1f742335bca283aae418763aaba62c03378.patch to fix issues with OpenBLAS 0.3.26 and later (boo#1220163).
* Mon Jan 22 2024 Daniel Garcia - Disable broken tests in s390x, gh#scipy/scipy#18878, bsc#1218608
* Tue Nov 21 2023 Steve Kowalik - 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 - Let it build for Leap 15.6 also.
* Thu Jul 27 2023 Markéta Machová - Add upstream intc.patch to fix gh#scipy/scipy#18603
* Tue Jul 25 2023 Markéta Machová - 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 - Use sle15_python_module_pythons- Require GCC >= 8
* Fri Mar 10 2023 Martin Liška - 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 - 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 - 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 - 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 - 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 - 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 - Add fix-tests-pytest72.patch to fix the tests that fails with pytest 7 gh#scipy/scipy#17296
* Fri Dec 02 2022 Daniel Garcia - Add fix-tests.patch gh#scipy/scipy#16926#issuecomment-1287507634
* Thu Oct 20 2022 Ben Greiner - 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 - 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 - 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 - Keep lowercase egg-info despite setuptools 60+
* Sat May 21 2022 andy great - Update to version 1.8.1.
* Bug-fix release with no new features.
* Tue Apr 12 2022 Martin Liška - With the previously added -ffloat-store, some tests that fail on i586. Disable them.
* Tue Apr 12 2022 Martin Liška - 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 - 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 - Provide empty debuginfo extraction for :test flavor
* Sun Jan 23 2022 Ben Greiner - 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 - Enable openblas on riscv64
* Mon May 03 2021 Arun Persaud - 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 - 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 - 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 - 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 - 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.