Hi, On Mon, Nov 3, 2014 at 8:13 AM, Charles R Harris <charlesr.har...@gmail.com> wrote: > Hi Julian, > > On Sun, Nov 2, 2014 at 6:33 AM, Julian Taylor > <jtaylor.deb...@googlemail.com> wrote: >> >> Hello, >> >> We am pleased to announce the release of NumPy 1.9.1, a >> bugfix only release for the 1.9.x series. >> https://sourceforge.net/projects/numpy/files/NumPy/1.9.1/ >> The upgrade is recommended for all users of the 1.9.x series. >> >> Following issues have been fixed: >> * gh-5184: restore linear edge behaviour of gradient to as it was in < >> 1.9. >> The second order behaviour is available via the `edge_order` keyword >> * gh-4007: workaround Accelerate sgemv crash on OSX 10.9 >> * gh-5100: restore object dtype inference from iterable objects without >> `len()` >> * gh-5163: avoid gcc-4.1.2 (red hat 5) miscompilation causing a crash >> * gh-5138: fix nanmedian on arrays containing inf >> * gh-5240: fix not returning out array from ufuncs with subok=False set >> * gh-5203: copy inherited masks in MaskedArray.__array_finalize__ >> * gh-2317: genfromtxt did not handle filling_values=0 correctly >> * gh-5067: restore api of npy_PyFile_DupClose in python2 >> * gh-5063: cannot convert invalid sequence index to tuple >> * gh-5082: Segmentation fault with argmin() on unicode arrays >> * gh-5095: don't propagate subtypes from np.where >> * gh-5104: np.inner segfaults with SciPy's sparse matrices >> * gh-5251: Issue with fromarrays not using correct format for unicode >> arrays >> * gh-5136: Import dummy_threading if importing threading fails >> * gh-5148: Make numpy import when run with Python flag '-OO' >> * gh-5147: Einsum double contraction in particular order causes ValueError >> * gh-479: Make f2py work with intent(in out) >> * gh-5170: Make python2 .npy files readable in python3 >> * gh-5027: Use 'll' as the default length specifier for long long >> * gh-4896: fix build error with MSVC 2013 caused by C99 complex support >> * gh-4465: Make PyArray_PutTo respect writeable flag >> * gh-5225: fix crash when using arange on datetime without dtype set >> * gh-5231: fix build in c99 mode >> >> >> The source distributions have been uploaded to PyPI. The Windows >> installers, documentation and release notes can be found at: >> https://sourceforge.net/projects/numpy/files/NumPy/1.9.1/ >> >> Cheers, >> Julian Taylor >> >> > > Thanks for getting this out. Hopefully this will keep the users happy for a > while ;)
Thanks from me too. I added OSX wheels to pypi... Cheers, Matthew _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
