Hi All,

I'm pleased to announce the release of NumPy 1.12.1. NumPy 1.12.1 supports
Python 2.7 and 3.4 - 3.6 and fixes bugs and regressions found in NumPy
In particular, the regression in f2py constant parsing is fixed.

Wheels for Linux, Windows, and OSX can be found on pypi. Archives can be
from github <https://github.com/numpy/numpy/releases/tag/v1.12.1>.


A total of 10 people contributed to this release.  People with a "+" by
names contributed a patch for the first time.

* Charles Harris
* Eric Wieser
* Greg Young
* Joerg Behrmann +
* John Kirkham
* Julian Taylor
* Marten van Kerkwijk
* Matthew Brett
* Shota Kawabuchi
* Jean Utke +

*Fixes Backported*

* #8483: BUG: Fix wrong future nat warning and equiv type logic error...
* #8489: BUG: Fix wrong masked median for some special cases
* #8490: DOC: Place np.average in inline code
* #8491: TST: Work around isfinite inconsistency on i386
* #8494: BUG: Guard against replacing constants without `'_'` spec in f2py.
* #8524: BUG: Fix mean for float 16 non-array inputs for 1.12
* #8571: BUG: Fix calling python api with error set and minor leaks for...
* #8602: BUG: Make iscomplexobj compatible with custom dtypes again
* #8618: BUG: Fix undefined behaviour induced by bad `__array_wrap__`
* #8648: BUG: Fix `MaskedArray.__setitem__`
* #8659: BUG: PPC64el machines are POWER for Fortran in f2py
* #8665: BUG: Look up methods on MaskedArray in `_frommethod`
* #8674: BUG: Remove extra digit in `binary_repr` at limit
* #8704: BUG: Fix deepcopy regression for empty arrays.
* #8707: BUG: Fix ma.median for empty ndarrays


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