[Numpy-discussion] ANN: NumPy 1.8.2 release candidate

Matthew Brett matthew.brett at gmail.com
Tue Aug 5 17:27:14 EDT 2014


Hi,

On Tue, Aug 5, 2014 at 1:57 PM, Julian Taylor
<jtaylor.debian at 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

Will test against the scipy stack later on today.

Cheers,

Matthew



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