NumPy 1.14.1 released

[Charles R Harris]

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