Update numpy to 1.14.4

[pyup-bot]

This PR updates numpy from 1.14.2 to 1.14.4.

Changelog

1.14.3

==========================

This is a bugfix release for a few bugs reported following the 1.14.2 release:

* np.lib.recfunctions.fromrecords accepts a list-of-lists, until 1.15
* In python2, float types use the new print style when printing to a file
* style arg in "legacy" print mode now works for 0d arrays

The Python versions supported in this release are 2.7 and 3.4 - 3.6. The Python
3.6 wheels available from PIP are built with Python 3.6.2 and should be
compatible with all previous versions of Python 3.6. The source releases were
cythonized with Cython 0.28.2.

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

A total of 6 people contributed to this release.  People with a "+" by their
names contributed a patch for the first time.

* Allan Haldane
* Charles Harris
* Jonathan March +
* Malcolm Smith +
* Matti Picus
* Pauli Virtanen

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

A total of 8 pull requests were merged for this release.

* `10862 <https://github.com/numpy/numpy/pull/10862>`__: BUG: floating types should override tp_print (1.14 backport)
* `10905 <https://github.com/numpy/numpy/pull/10905>`__: BUG: for 1.14 back-compat, accept list-of-lists in fromrecords
* `10947 <https://github.com/numpy/numpy/pull/10947>`__: BUG: 'style' arg to array2string broken in legacy mode (1.14...
* `10959 <https://github.com/numpy/numpy/pull/10959>`__: BUG: test, fix for missing flags['WRITEBACKIFCOPY'] key
* `10960 <https://github.com/numpy/numpy/pull/10960>`__: BUG: Add missing underscore to prototype in check_embedded_lapack
* `10961 <https://github.com/numpy/numpy/pull/10961>`__: BUG: Fix encoding regression in ma/bench.py (Issue 10868)
* `10962 <https://github.com/numpy/numpy/pull/10962>`__: BUG: core: fix NPY_TITLE_KEY macro on pypy
* `10974 <https://github.com/numpy/numpy/pull/10974>`__: BUG: test, fix PyArray_DiscardWritebackIfCopy...


==========================

Links

• PyPI: https://pypi.org/project/numpy
• Changelog: https://pyup.io/changelogs/numpy/
• Homepage: http://www.numpy.org

[pyup-bot]

Closing this in favor of #102