All Theano tests work. thanks!
Fred On Tue, Aug 5, 2014 at 8:46 PM, Matthew Brett <matthew.br...@gmail.com> wrote: > Hi, > > On Tue, Aug 5, 2014 at 2:27 PM, Matthew Brett <matthew.br...@gmail.com> > wrote: > > Hi, > > > > On Tue, Aug 5, 2014 at 1:57 PM, Julian Taylor > > <jtaylor.deb...@googlemail.com> wrote: > >> On 05.08.2014 22:32, Christoph Gohlke wrote: > >>> On 8/5/2014 12:45 PM, Julian Taylor wrote: > >>>> Hello, > >>>> > >>>> I am pleased to announce the first release candidate for numpy 1.8.2, > a > >>>> pure bugfix release for the 1.8.x series. > >>>> https://sourceforge.net/projects/numpy/files/NumPy/1.8.2rc1/ > >>>> > >>>> If no regressions show up the final release is planned this weekend. > >>>> The upgrade is recommended for all users of the 1.8.x series. > >>>> > >>>> Following issues have been fixed: > >>>> * gh-4836: partition produces wrong results for multiple selections in > >>>> equal ranges > >>>> * gh-4656: Make fftpack._raw_fft threadsafe > >>>> * gh-4628: incorrect argument order to _copyto in in np.nanmax, > np.nanmin > >>>> * gh-4613: Fix lack of NULL check in array_richcompare > >>>> * gh-4642: Hold GIL for converting dtypes types with fields > >>>> * gh-4733: fix np.linalg.svd(b, compute_uv=False) > >>>> * gh-4853: avoid unaligned simd load on reductions on i386 > >>>> * gh-4774: avoid unaligned access for strided byteswap > >>>> * gh-650: Prevent division by zero when creating arrays from some > buffers > >>>> * gh-4602: ifort has issues with optimization flag O2, use O1 > >>>> > >>>> Source tarballs, windows installers and release notes can be found at > >>>> https://sourceforge.net/projects/numpy/files/NumPy/1.8.2rc1/ > >>>> > >>>> Cheers, > >>>> Julian Taylor > >>>> > >>> > >>> Hello, > >>> > >>> thank you. Looks good. All builds and tests pass on Windows (using > >>> msvc/MKL). > >>> > >>> Any chance gh-4722 can make it into the release? > >>> Fix seg fault converting empty string to object > >>> <https://github.com/numpy/numpy/pull/4722> > >>> > >> > >> thanks, I missed that one, pretty simple, I'll add it to the final > release. > > > > OSX wheels built and tested and uploaded OK : > > > > http://wheels.scikit-image.org > > > > https://travis-ci.org/matthew-brett/numpy-atlas-binaries/builds/31747958 > > OSX wheel tested OK against current scipy stack for system Python, > python.org Python, homebrew, macports: > > https://travis-ci.org/matthew-brett/scipy-stack-osx-testing/builds/31756325 > > Cheers, > > Matthew > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > http://mail.scipy.org/mailman/listinfo/numpy-discussion >
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