Hello community, here is the log from the commit of package python3-scipy for openSUSE:Factory checked in at 2015-08-03 17:21:18 ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Comparing /work/SRC/openSUSE:Factory/python3-scipy (Old) and /work/SRC/openSUSE:Factory/.python3-scipy.new (New) ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Package is "python3-scipy" Changes: -------- --- /work/SRC/openSUSE:Factory/python3-scipy/python3-scipy.changes 2015-01-25 21:15:05.000000000 +0100 +++ /work/SRC/openSUSE:Factory/.python3-scipy.new/python3-scipy.changes 2015-08-03 17:21:38.000000000 +0200 @@ -1,0 +2,132 @@ +Mon Jul 27 15:24:02 UTC 2015 - [email protected] + +- Remove Cython subpackage. The sources are not as cleanly + separated as the changelog implied. + +------------------------------------------------------------------- +Mon Jul 27 09:26:20 UTC 2015 - [email protected] + +- Update to 0.16.0 + * Highlights of this release include: + - A Cython API for BLAS/LAPACK in scipy.linalg + - A new benchmark suite. It's now straightforward to add new benchmarks, + and they're routinely included with performance enhancement PRs. + - Support for the second order sections (SOS) format in scipy.signal. + * New features + - Benchmark suite + + The benchmark suite has switched to using Airspeed Velocity + for benchmarking. + - scipy.linalg improvements + + A full set of Cython wrappers for BLAS and LAPACK has been added in + the modules scipy.linalg.cython_blas and scipy.linalg.cython_lapack. + In Cython, these wrappers can now be cimported from their + corresponding modules and used without linking directly against BLAS + or LAPACK. + + The functions scipy.linalg.qr_delete, scipy.linalg.qr_insert and + scipy.linalg.qr_update for updating QR decompositions were added. + + The function scipy.linalg.solve_circulant solves a linear system with + a circulant coefficient matrix. + + The function scipy.linalg.invpascal computes the inverse of a Pascal matrix. + + The function scipy.linalg.solve_toeplitz, a Levinson-Durbin Toeplitz solver, + was added. + + Added wrapper for potentially useful LAPACK function *lasd4. It computes + the square root of the i-th updated eigenvalue of a positive symmetric rank-one + modification to a positive diagonal matrix. See its LAPACK documentation and + unit tests for it to get more info. + + Added two extra wrappers for LAPACK least-square solvers. Namely, they are + *gelsd and *gelsy. + + Wrappers for the LAPACK *lange functions, which calculate various matrix + norms, were added. + + Wrappers for *gtsv and *ptsv, which solve A*X = B for tri-diagonal + matrix A, were added. + - scipy.signal improvements + + Support for second order sections (SOS) as a format for IIR filters + was added. The new functions are: + * scipy.signal.sosfilt + * scipy.signal.sosfilt_zi, + * scipy.signal.sos2tf + * scipy.signal.sos2zpk + * scipy.signal.tf2sos + * scipy.signal.zpk2sos. + + Additionally, the filter design functions iirdesign, iirfilter, butter, + cheby1, cheby2, ellip, and bessel can return the filter in the SOS + format. + + The function scipy.signal.place_poles, which provides two methods to place + poles for linear systems, was added. + + The option to use Gustafsson's method for choosing the initial conditions + of the forward and backward passes was added to scipy.signal.filtfilt. + + New classes TransferFunction, StateSpace and ZerosPolesGain were + added. These classes are now returned when instantiating scipy.signal.lti. + Conversion between those classes can be done explicitly now. + + An exponential (Poisson) window was added as scipy.signal.exponential, and a + Tukey window was added as scipy.signal.tukey. + + The function for computing digital filter group delay was added as + scipy.signal.group_delay. + + The functionality for spectral analysis and spectral density estimation has + been significantly improved: scipy.signal.welch became ~8x faster and the + functions scipy.signal.spectrogram, scipy.signal.coherence and + scipy.signal.csd (cross-spectral density) were added. + + scipy.signal.lsim was rewritten - all known issues are fixed, so this + function can now be used instead of lsim2; lsim is orders of magnitude + faster than lsim2 in most cases. + - scipy.sparse improvements + + The function scipy.sparse.norm, which computes sparse matrix norms, was + added. + + The function scipy.sparse.random, which allows to draw random variates from + an arbitrary distribution, was added. + - scipy.spatial improvements + + scipy.spatial.cKDTree has seen a major rewrite, which improved the + performance of the query method significantly, added support for parallel + queries, pickling, and options that affect the tree layout. See pull request + 4374 for more details. + + The function scipy.spatial.procrustes for Procrustes analysis (statistical + shape analysis) was added. + - scipy.stats improvements + + The Wishart distribution and its inverse have been added, as + scipy.stats.wishart and scipy.stats.invwishart. + + The Exponentially Modified Normal distribution has been + added as scipy.stats.exponnorm. + + The Generalized Normal distribution has been added as scipy.stats.gennorm. + + All distributions now contain a random_state property and allow specifying a + specific numpy.random.RandomState random number generator when generating + random variates. + + Many statistical tests and other scipy.stats functions that have multiple + return values now return namedtuples. See pull request 4709 for details. + - scipy.optimize improvements + + A new derivative-free method DF-SANE has been added to the nonlinear equation + system solving function scipy.optimize.root. + * Deprecated features + - scipy.stats.pdf_fromgamma is deprecated. This function was undocumented, + untested and rarely used. Statsmodels provides equivalent functionality + with statsmodels.distributions.ExpandedNormal. + - scipy.stats.fastsort is deprecated. This function is unnecessary, + numpy.argsort can be used instead. + - scipy.stats.signaltonoise and scipy.stats.mstats.signaltonoise are + deprecated. These functions did not belong in scipy.stats and are rarely + used. See issue #609 for details. + - scipy.stats.histogram2 is deprecated. This function is unnecessary, + numpy.histogram2d can be used instead. + * Backwards incompatible changes + - The deprecated global optimizer scipy.optimize.anneal was removed. + - The following deprecated modules have been removed. They had been deprecated + since Scipy 0.12.0, the functionality should be accessed as scipy.linalg.blas + and scipy.linalg.lapack. + + scipy.lib.blas + + scipy.lib.lapack + + scipy.linalg.cblas + + scipy.linalg.fblas + + scipy.linalg.clapack + + scipy.linalg.flapack. + - The deprecated function scipy.special.all_mat has been removed. + - These deprecated functions have been removed from scipy.stats: + + scipy.stats.fprob + + scipy.stats.ksprob + + scipy.stats.zprob + + scipy.stats.randwcdf + + scipy.stats.randwppf + * Other changes + - The version numbering for development builds has been updated to comply with PEP 440. + - Building with python setup.py develop is now supported. +- Move Cython imports to another package + +------------------------------------------------------------------- Old: ---- scipy-0.15.1.tar.gz New: ---- scipy-0.16.0.tar.gz ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Other differences: ------------------ ++++++ python3-scipy.spec ++++++ --- /var/tmp/diff_new_pack.yJ7bCG/_old 2015-08-03 17:21:41.000000000 +0200 +++ /var/tmp/diff_new_pack.yJ7bCG/_new 2015-08-03 17:21:41.000000000 +0200 @@ -19,7 +19,7 @@ %define with_atlas 0 Name: python3-scipy -Version: 0.15.1 +Version: 0.16.0 Release: 0 Summary: Scientific Tools for Python License: BSD-3-Clause and LGPL-2.0+ @@ -55,23 +55,6 @@ use, but powerful enough to be depended upon by some of the world's leading scientists and engineers. -%package weave -Summary: Scientific Tools for Python - Weave -Group: Development/Libraries/Python -Requires: %{name} = %{version} -Provides: python3-scipy-devel = %{version} - -%description weave -Scipy is open-source software for mathematics, science, and -engineering. The core library is NumPy which provides convenient and -fast N-dimensional array manipulation. The SciPy library is built to -work with NumPy arrays, and provides many user-friendly and efficient -numerical routines such as routines for numerical integration and -optimization. Together, they run on all popular operating systems, are -quick to install, and are free of charge. NumPy and SciPy are easy to -use, but powerful enough to be depended upon by some of the world's -leading scientists and engineers. - %prep %setup -q -n scipy-%{version} find . -type f -name "*.py" -exec sed -i "s|#!/usr/bin/env python||" {} \; @@ -114,12 +97,6 @@ %doc LICENSE.txt %{python3_sitearch}/scipy/ %{python3_sitearch}/scipy-%{version}-py*.egg-info -# %exclude %{python3_sitearch}/scipy/weave -# not available for python 3 yet -# %files weave -# %defattr(-,root,root,-) -# %doc scipy/weave/examples -# %{python3_sitearch}/scipy/weave %changelog ++++++ scipy-0.15.1.tar.gz -> scipy-0.16.0.tar.gz ++++++ /work/SRC/openSUSE:Factory/python3-scipy/scipy-0.15.1.tar.gz /work/SRC/openSUSE:Factory/.python3-scipy.new/scipy-0.16.0.tar.gz differ: char 5, line 1
