NumPy 1.15.4 release

[Charles R Harris]

Hi All,

On behalf of the NumPy team, I am pleased to announce the release of NumPy
1.15.4. This is a bugfix release for bugs and regressions reported
following the 1.15.3 release.  The most noticeable fix is probably having a
boolean type fill value for masked arrays after the use of `==` and `!=`.
The Python versions supported by this release are 2.7, 3.4-3.7. Wheels for
this release can be downloaded from PyPI
<https://pypi.org/project/numpy/1.15.4/>, source archives are available
from Github <https://github.com/numpy/numpy/releases/tag/v1.15.4>.

Compatibility Note
==================

The NumPy 1.15.x OS X wheels released on PyPI no longer contain 32-bit
binaries.  That will also be the case in future releases. See `#11625 <
https://github.com/numpy/numpy/issues/11625>`__ for the related
discussion.  Those needing 32-bit support should look elsewhere or build
from source.

Contributors
============

A total of 4 people contributed to this release.  People with a "+" by their
names contributed a patch for the first time.

   - Charles Harris
   - Matti Picus
   - Sebastian Berg
   - bbbbbbbbba +

Pull requests merged
====================

A total of 4 pull requests were merged for this release.

   - `#12296 <https://github.com/numpy/numpy/pull/12296>`__: BUG: Dealloc
   cached buffer info
   - `#12297 <https://github.com/numpy/numpy/pull/12297>`__: BUG: Fix fill
   value in masked array '==' and '!=' ops.
   - `#12307 <https://github.com/numpy/numpy/pull/12307>`__: DOC: Correct
   the default value of `optimize` in `numpy.einsum`
   - `#12320 <https://github.com/numpy/numpy/pull/12320>`__: REL: Prepare
   for the NumPy 1.15.4 release

Cheers,

Charles Harris