Hello community, here is the log from the commit of package python-scipy for openSUSE:Factory checked in at 2019-05-20 13:16:48 ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Comparing /work/SRC/openSUSE:Factory/python-scipy (Old) and /work/SRC/openSUSE:Factory/.python-scipy.new.5148 (New) ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Package is "python-scipy" Mon May 20 13:16:48 2019 rev:36 rq:703999 version:1.3.0 Changes: -------- --- /work/SRC/openSUSE:Factory/python-scipy/python-scipy.changes 2019-04-04 14:12:26.405299889 +0200 +++ /work/SRC/openSUSE:Factory/.python-scipy.new.5148/python-scipy.changes 2019-05-20 13:16:53.627961573 +0200 @@ -1,0 +2,161 @@ +Sun May 19 02:47:42 UTC 2019 - Todd R <toddrme2...@gmail.com> + +- Update to 1.3.0 + + Highlights of this release + * Three new ``stats`` functions, a rewrite of ``pearsonr``, and an exact + computation of the Kolmogorov-Smirnov two-sample test + * A new Cython API for bounded scalar-function root-finders in `scipy.optimize` + * Substantial ``CSR`` and ``CSC`` sparse matrix indexing performance + improvements + * Added support for interpolation of rotations with continuous angular + rate and acceleration in ``RotationSpline`` + + New features + > `scipy.interpolate` improvements + * A new class ``CubicHermiteSpline`` is introduced. It is a piecewise-cubic + interpolator which matches observed values and first derivatives. Existing + cubic interpolators ``CubicSpline``, ``PchipInterpolator`` and + ``Akima1DInterpolator`` were made subclasses of ``CubicHermiteSpline``. + > `scipy.io` improvements + * For the Attribute-Relation File Format (ARFF) `scipy.io.arff.loadarff` + now supports relational attributes. + * `scipy.io.mmread` can now parse Matrix Market format files with empty lines. + > `scipy.linalg` improvements + * Added wrappers for ``?syconv`` routines, which convert a symmetric matrix + given by a triangular matrix factorization into two matrices and vice versa. + * `scipy.linalg.clarkson_woodruff_transform` now uses an algorithm that leverages + sparsity. This may provide a 60-90 percent speedup for dense input matrices. + Truly sparse input matrices should also benefit from the improved sketch + algorithm, which now correctly runs in ``O(nnz(A))`` time. + * Added new functions to calculate symmetric Fiedler matrices and + Fiedler companion matrices, named `scipy.linalg.fiedler` and + `scipy.linalg.fiedler_companion`, respectively. These may be used + for root finding. + > `scipy.ndimage` improvements + * Gaussian filter performances may improve by an order of magnitude in + some cases, thanks to removal of a dependence on ``np.polynomial``. This + may impact `scipy.ndimage.gaussian_filter` for example. + > `scipy.optimize` improvements + * The `scipy.optimize.brute` minimizer obtained a new keyword ``workers``, which + can be used to parallelize computation. + * A Cython API for bounded scalar-function root-finders in `scipy.optimize` + is available in a new module `scipy.optimize.cython_optimize` via ``cimport``. + This API may be used with ``nogil`` and ``prange`` to loop + over an array of function arguments to solve for an array of roots more + quickly than with pure Python. + * ``'interior-point'`` is now the default method for ``linprog``, and + ``'interior-point'`` now uses SuiteSparse for sparse problems when the + required scikits (scikit-umfpack and scikit-sparse) are available. + On benchmark problems (gh-10026), execution time reductions by factors of 2-3 + were typical. Also, a new ``method='revised simplex'`` has been added. + It is not as fast or robust as ``method='interior-point'``, but it is a faster, + more robust, and equally accurate substitute for the legacy + ``method='simplex'``. + * ``differential_evolution`` can now use a ``Bounds`` class to specify the + bounds for the optimizing argument of a function. + * `scipy.optimize.dual_annealing` performance improvements related to + vectorisation of some internal code. + > `scipy.signal` improvements + * Two additional methods of discretization are now supported by + `scipy.signal.cont2discrete`: ``impulse`` and ``foh``. + * `scipy.signal.firls` now uses faster solvers + * `scipy.signal.detrend` now has a lower physical memory footprint in some + cases, which may be leveraged using the new ``overwrite_data`` keyword argument + * `scipy.signal.firwin` ``pass_zero`` argument now accepts new string arguments + that allow specification of the desired filter type: ``'bandpass'``, + ``'lowpass'``, ``'highpass'``, and ``'bandstop'`` + * `scipy.signal.sosfilt` may have improved performance due to lower retention + of the global interpreter lock (GIL) in algorithm + > `scipy.sparse` improvements + * A new keyword was added to ``csgraph.dijsktra`` that + allows users to query the shortest path to ANY of the passed in indices, + as opposed to the shortest path to EVERY passed index. + * `scipy.sparse.linalg.lsmr` performance has been improved by roughly 10 percent + on large problems + * Improved performance and reduced physical memory footprint of the algorithm + used by `scipy.sparse.linalg.lobpcg` + * ``CSR`` and ``CSC`` sparse matrix fancy indexing performance has been + improved substantially + > `scipy.spatial` improvements + * `scipy.spatial.ConvexHull` now has a ``good`` attribute that can be used + alongsize the ``QGn`` Qhull options to determine which external facets of a + convex hull are visible from an external query point. + * `scipy.spatial.cKDTree.query_ball_point` has been modernized to use some newer + Cython features, including GIL handling and exception translation. An issue + with ``return_sorted=True`` and scalar queries was fixed, and a new mode named + ``return_length`` was added. ``return_length`` only computes the length of the + returned indices list instead of allocating the array every time. + * `scipy.spatial.transform.RotationSpline` has been added to enable interpolation + of rotations with continuous angular rates and acceleration + > `scipy.stats` improvements + * Added a new function to compute the Epps-Singleton test statistic, + `scipy.stats.epps_singleton_2samp`, which can be applied to continuous and + discrete distributions. + * New functions `scipy.stats.median_absolute_deviation` and `scipy.stats.gstd` + (geometric standard deviation) were added. The `scipy.stats.combine_pvalues` + method now supports ``pearson``, ``tippett`` and ``mudholkar_george`` pvalue + combination methods. + * The `scipy.stats.ortho_group` and `scipy.stats.special_ortho_group` + ``rvs(dim)`` functions' algorithms were updated from a ``O(dim^4)`` + implementation to a ``O(dim^3)`` which gives large speed improvements + for ``dim>100``. + * A rewrite of `scipy.stats.pearsonr` to use a more robust algorithm, + provide meaningful exceptions and warnings on potentially pathological input, + and fix at least five separate reported issues in the original implementation. + * Improved the precision of ``hypergeom.logcdf`` and ``hypergeom.logsf``. + * Added exact computation for Kolmogorov-Smirnov (KS) two-sample test, replacing + the previously approximate computation for the two-sided test `stats.ks_2samp`. + Also added a one-sided, two-sample KS test, and a keyword ``alternative`` to + `stats.ks_2samp`. + + Backwards incompatible changes + > `scipy.interpolate` changes + * Functions from ``scipy.interpolate`` (``spleval``, ``spline``, ``splmake``, + and ``spltopp``) and functions from ``scipy.misc`` (``bytescale``, + ``fromimage``, ``imfilter``, ``imread``, ``imresize``, ``imrotate``, + ``imsave``, ``imshow``, ``toimage``) have been removed. The former set has + been deprecated since v0.19.0 and the latter has been deprecated since v1.0.0. + Similarly, aliases from ``scipy.misc`` (``comb``, ``factorial``, + ``factorial2``, ``factorialk``, ``logsumexp``, ``pade``, ``info``, ``source``, + ``who``) which have been deprecated since v1.0.0 are removed. + `SciPy documentation for + v1.1.0 <https://docs.scipy.org/doc/scipy-1.1.0/reference/misc.html>`__ + can be used to track the new import locations for the relocated functions. + > `scipy.linalg` changes + * For ``pinv``, ``pinv2``, and ``pinvh``, the default cutoff values are changed + for consistency (see the docs for the actual values). + > `scipy.optimize` changes + * The default method for ``linprog`` is now ``'interior-point'``. The method's + robustness and speed come at a cost: solutions may not be accurate to + machine precision or correspond with a vertex of the polytope defined + by the constraints. To revert to the original simplex method, + include the argument ``method='simplex'``. + > `scipy.stats` changes + * Previously, ``ks_2samp(data1, data2)`` would run a two-sided test and return + the approximated p-value. The new signature, ``ks_2samp(data1, data2, + alternative="two-sided", method="auto")``, still runs the two-sided test by + default but returns the exact p-value for small samples and the approximated + value for large samples. ``method="asymp"`` would be equivalent to the + old version but ``auto`` is the better choice. + + Other changes + * Our tutorial has been expanded with a new section on global optimizers + * There has been a rework of the ``stats.distributions`` tutorials. + * `scipy.optimize` now correctly sets the convergence flag of the result to + ``CONVERR``, a convergence error, for bounded scalar-function root-finders + if the maximum iterations has been exceeded, ``disp`` is false, and + ``full_output`` is true. + * `scipy.optimize.curve_fit` no longer fails if ``xdata`` and ``ydata`` dtypes + differ; they are both now automatically cast to ``float64``. + * `scipy.ndimage` functions including ``binary_erosion``, ``binary_closing``, and + ``binary_dilation`` now require an integer value for the number of iterations, + which alleviates a number of reported issues. + * Fixed normal approximation in case ``zero_method == "pratt"`` in + `scipy.stats.wilcoxon`. + * Fixes for incorrect probabilities, broadcasting issues and thread-safety + related to stats distributions setting member variables inside ``_argcheck()``. + * `scipy.optimize.newton` now correctly raises a ``RuntimeError``, when default + arguments are used, in the case that a derivative of value zero is obtained, + which is a special case of failing to converge. + * A draft toolchain roadmap is now available, laying out a compatibility plan + including Python versions, C standards, and NumPy versions. +- Python 2 is no longer supported + +------------------------------------------------------------------- Old: ---- scipy-1.2.1.tar.gz New: ---- scipy-1.3.0.tar.gz ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Other differences: ------------------ ++++++ python-scipy.spec ++++++ --- /var/tmp/diff_new_pack.rNQsgG/_old 2019-05-20 13:16:56.191960235 +0200 +++ /var/tmp/diff_new_pack.rNQsgG/_new 2019-05-20 13:16:56.195960233 +0200 @@ -18,7 +18,7 @@ %global flavor @BUILD_FLAVOR@%{nil} -%define _ver 1_2_1 +%define _ver 1_3_0 %define shortname scipy %define pname python-%{shortname} @@ -89,8 +89,9 @@ %else %bcond_without suitesparse %endif +%define skip_python2 1 Name: %{package_name} -Version: 1.2.1 +Version: 1.3.0 Release: 0 Summary: Scientific Tools for Python License: BSD-3-Clause AND LGPL-2.0-or-later @@ -101,7 +102,7 @@ # PATCH-FIX-OPENSUSE - no_implicit_decl.patch - Fix implicit-pointer-decl warnings and implicit-fortify-decl error Patch0: no_implicit_decl.patch BuildRequires: %{python_module Cython >= 0.19} -BuildRequires: %{python_module devel} +BuildRequires: %{python_module devel >= 3.5} BuildRequires: %{python_module setuptools} BuildRequires: fdupes BuildRequires: python-rpm-macros ++++++ scipy-1.2.1.tar.gz -> scipy-1.3.0.tar.gz ++++++ /work/SRC/openSUSE:Factory/python-scipy/scipy-1.2.1.tar.gz /work/SRC/openSUSE:Factory/.python-scipy.new.5148/scipy-1.3.0.tar.gz differ: char 5, line 1
