NumPy 1.14.1 released
Hi All, On behalf of the NumPy team, I am pleased to announce NumPy 1.14.1. This is a bugfix release for some problems reported following the 1.14.0 release. The major problems fixed are the following. - Problems with the new array printing, particularly the printing of complex values, Please report any additional problems that may turn up. - Problems with ``np.einsum`` due to the new ``optimized=True`` default. Some fixes for optimization have been applied and ``optimize=False`` is now the default. - The sort order in ``np.unique`` when ``axis=<some-number>`` will now always be lexicographic in the subarray elements. In previous NumPy versions there was an optimization that could result in sorting the subarrays as unsigned byte strings. - The change in 1.14.0 that multi-field indexing of structured arrays returns a view instead of a copy has been reverted but remains on track for NumPy 1.15. Affected users should read the 1.14.1 Numpy User Guide section "basics/structured arrays/accessing multiple fields" for advice on how to manage this transition. This release supports Python 2.7 and 3.4 - 3.6. Wheels for the release are available on PyPI. Source tarballs, zipfiles, release notes, and the changelog are available on github https://github.com/numpy/numpy/releases/tag/v1.14.1. *Contributors* A total of 14 people contributed to this release. People with a "+" by their names contributed a patch for the first time. * Allan Haldane * Charles Harris * Daniel Smith * Dennis Weyland + * Eric Larson * Eric Wieser * Jarrod Millman * Kenichi Maehashi + * Marten van Kerkwijk * Mathieu Lamarre * Sebastian Berg * Simon Conseil * Simon Gibbons * xoviat Cheers, Charles Harris
Great news, as always, thanks for your relentless effort Chuck! - Sebastian On Tue, 2018-02-20 at 18:21 -0700, Charles R Harris wrote:
Hi All,
On behalf of the NumPy team, I am pleased to announce NumPy 1.14.1. This is a bugfix release for some problems reported following the 1.14.0 release. The major problems fixed are the following. Problems with the new array printing, particularly the printing of complex values, Please report any additional problems that may turn up.
Problems with ``np.einsum`` due to the new ``optimized=True`` default. Some fixes for optimization have been applied and ``optimize=False`` is now the default.
The sort order in ``np.unique`` when ``axis=<some-number>`` will now always be lexicographic in the subarray elements. In previous NumPy versions there was an optimization that could result in sorting the subarrays as unsigned byte strings.
The change in 1.14.0 that multi-field indexing of structured arrays returns a view instead of a copy has been reverted but remains on track for NumPy 1.15. Affected users should read the 1.14.1 Numpy User Guide section "basics/structured arrays/accessing multiple fields" for advice on how to manage this transition. This release supports Python 2.7 and 3.4 - 3.6. Wheels for the release are available on PyPI. Source tarballs, zipfiles, release notes, and the changelog are available on github.
Contributors
A total of 14 people contributed to this release. People with a "+" by their names contributed a patch for the first time.
* Allan Haldane * Charles Harris * Daniel Smith * Dennis Weyland + * Eric Larson * Eric Wieser * Jarrod Millman * Kenichi Maehashi + * Marten van Kerkwijk * Mathieu Lamarre * Sebastian Berg * Simon Conseil * Simon Gibbons * xoviat
Cheers,
Charles Harris _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@python.org https://mail.python.org/mailman/listinfo/numpy-discussion
participants (2)
-
Charles R Harris
-
Sebastian Berg