Hi, On Sun, Nov 23, 2014 at 3:13 PM, Pauli Virtanen <p...@iki.fi> wrote: > -----BEGIN PGP SIGNED MESSAGE----- > Hash: SHA1 > > Dear all, > > We have finally finished preparing the Scipy 0.15.0 beta 1 release. > Please try it and report any issues on the scipy-dev mailing list, > and/or on Github. > > If no surprises turn up, the final release is planned on Dec 20 in > three weeks. > > Source tarballs and full release notes are available at > https://sourceforge.net/projects/scipy/files/SciPy/0.15.0b1/ > Binary installers should also be up soon. > > Best regards, > Pauli Virtanen > > > - -------------------------------------------- > > SciPy 0.15.0 is the culmination of 6 months of hard work. It contains > several 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. Moreover, our development attention > will now shift to bug-fix releases on the 0.16.x branch, and on adding > new features on the master branch. > > This release requires Python 2.6, 2.7 or 3.2-3.3 and NumPy 1.5.1 or > greater. > > > New features > ============ > > Linear Programming Interface > - - ---------------------------- > > The new function ``scipy.optimize.linprog`` provides a generic > linear programming similar to the way ``scipy.optimize.minimize`` > provides a generic interface to nonlinear programming optimizers. > Currently the only method supported is *simplex* which provides > a two-phase, dense-matrix-based simplex algorithm. Callbacks > functions are supported,allowing the user to monitor the progress > of the algorithm. > > Differential_evolution, a global optimizer > - - ------------------------------------------ > > A new ``differential_evolution`` function is available in the > ``scipy.optimize`` > module. Differential Evolution is an algorithm used for finding the > global > minimum of multivariate functions. It is stochastic in nature (does > not use > gradient methods), and can search large areas of candidate space, but > often > requires larger numbers of function evaluations than conventional gradient > based techniques. > > ``scipy.signal`` improvements > - - ----------------------------- > > The function ``max_len_seq`` was added, which computes a Maximum > Length Sequence (MLS) signal. > > ``scipy.integrate`` improvements > - - -------------------------------- > > It is now possible to use ``scipy.integrate`` routines to integrate > multivariate ctypes functions, thus avoiding callbacks to Python and > providing better performance. > > ``scipy.linalg`` improvements > - - ----------------------------- > > Add function ``orthogonal_procrustes`` for solving the procrustes > linear algebra problem. > > ``scipy.sparse`` improvements > - - ----------------------------- > > ``scipy.sparse.linalg.svds`` can now take a ``LinearOperator`` as its > main input. > > ``scipy.special`` improvements > - - ------------------------------ > > Values of ellipsoidal harmonic (i.e. Lame) functions and associated > normalization constants can be now computed using ``ellip_harm``, > ``ellip_harm_2``, and ``ellip_normal``. > > New convenience functions ``entr``, ``rel_entr`` ``kl_div``, > ``huber``, and ``pseudo_huber`` were added. > > ``scipy.sparse.csgraph`` improvements > - - ------------------------------------- > > Routines ``reverse_cuthill_mckee`` and ``maximum_bipartite_matching`` > for computing reorderings of sparse graphs were added. > > ``scipy.stats`` improvements > - - ---------------------------- > > Added a Dirichlet distribution as multivariate distribution. > > The new function ``scipy.stats.median_test`` computes Mood's median test. > > The new function ``scipy.stats.combine_pvalues`` implements Fisher's > and Stouffer's methods for combining p-values. > > ``scipy.stats.describe`` returns a namedtuple rather than a tuple, > allowing > users to access results by index or by name. > > Deprecated features > =================== > > The ``scipy.weave`` module is deprecated. It was the only module > never ported > to Python 3.x, and is not recommended to be used for new code - use Cython > instead. In order to support existing code, ``scipy.weave`` has been > packaged > separately: `https://github.com/scipy/weave`_. It is a pure Python > package, and > can easily be installed with ``pip install weave``. > > ``scipy.special.bessel_diff_formula`` is deprecated. It is a private > function, > and therefore will be removed from the public API in a following release. > > > Backwards incompatible changes > ============================== > > scipy.ndimage > - - ------------- > > The functions ``scipy.ndimage.minimum_positions``, > ``scipy.ndimage.maximum_positions`` and ``scipy.ndimage.extrema`` return > positions as ints instead of floats. > > scipy.integrate > - - --------------- > > The format of banded Jacobians in ``scipy.integrate.ode`` solvers is > changed. Note that the previous documentation of this feature was > erroneous.
I ran against current scipy stack packages, and get these errors: https://travis-ci.org/MacPython/scipy-stack-osx-testing/jobs/42022929#L324 ====================================================================== ERROR: test_netcdf.test_byte_gatts ---------------------------------------------------------------------- Traceback (most recent call last): File "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/nose/case.py", line 197, in runTest self.test(*self.arg) File "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/scipy/io/tests/test_netcdf.py", line 268, in test_byte_gatts f = netcdf_file(filename, 'w') File "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/scipy/io/netcdf.py", line 226, in __init__ self.fp = open(self.filename, '%sb' % omode) IOError: [Errno 13] Permission denied: '/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/scipy/io/tests/data/g_byte_atts.nc' ====================================================================== ERROR: test_netcdf.test_open_append ---------------------------------------------------------------------- Traceback (most recent call last): File "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/nose/case.py", line 197, in runTest self.test(*self.arg) File "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/scipy/io/tests/test_netcdf.py", line 284, in test_open_append f = netcdf_file(filename, 'w') File "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/scipy/io/netcdf.py", line 226, in __init__ self.fp = open(self.filename, '%sb' % omode) IOError: [Errno 13] Permission denied: '/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/scipy/io/tests/data/append_dat.nc' This turns out to be because the netcdf tests are trying to write into the scipy/io/tests/data directory: https://github.com/scipy/scipy/pull/4198 Otherwise, it looks clean. I uploaded the OSX wheels to sourceforge. Cheers, Matthew _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
