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
