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DOC: Update 1.12.1 release notes.
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charris committed Mar 6, 2017
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Expand Up @@ -88,6 +88,7 @@ Jarrod Millman <[email protected]> Jarrod Millman <[email protected]>
Jason Grout <[email protected]> Jason Grout <[email protected]>
Jason King <[email protected]> jason king <[email protected]>
Jay Bourque <[email protected]> jayvius <[email protected]>
Jean Utke <[email protected]> jutke <[email protected]>
Jerome Kelleher <[email protected]> jeromekelleher <[email protected]>
Johannes Schönberger <[email protected]> Johannes Schönberger <[email protected]>
Joseph Fox-Rabinovitz <[email protected]> Joseph Fox-Rabinovitz <[email protected]>
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39 changes: 37 additions & 2 deletions doc/release/1.12.1-notes.rst
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Expand Up @@ -3,7 +3,42 @@ NumPy 1.12.1 Release Notes
==========================

NumPy 1.12.1 supports Python 2.7 and 3.4 - 3.6 and fixes bugs and regressions
found in NumPy 1.12.0. Wheels for Linux, Windows, and OSX can be found on pypi,
found in NumPy 1.12.0. In particular, the regression in f2py constant parsing
is fixed. Wheels for Linux, Windows, and OSX can be found on pypi,

Fixes Merged

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

A total of 10 people contributed to this release. People with a "+" by their
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 <https://github.com/numpy/numpy/pull/8483>`__: BUG: Fix wrong future nat warning and equiv type logic error...
* `#8489 <https://github.com/numpy/numpy/pull/8489>`__: BUG: Fix wrong masked median for some special cases
* `#8490 <https://github.com/numpy/numpy/pull/8490>`__: DOC: Place np.average in inline code
* `#8491 <https://github.com/numpy/numpy/pull/8491>`__: TST: Work around isfinite inconsistency on i386
* `#8494 <https://github.com/numpy/numpy/pull/8494>`__: BUG: Guard against replacing constants without '_' spec in f2py.
* `#8524 <https://github.com/numpy/numpy/pull/8524>`__: BUG: Fix mean for float 16 non-array inputs for 1.12
* `#8571 <https://github.com/numpy/numpy/pull/8571>`__: BUG: Fix calling python api with error set and minor leaks for...
* `#8602 <https://github.com/numpy/numpy/pull/8602>`__: BUG: Make iscomplexobj compatible with custom dtypes again
* `#8618 <https://github.com/numpy/numpy/pull/8618>`__: BUG: Fix undefined behaviour induced by bad __array_wrap__
* `#8648 <https://github.com/numpy/numpy/pull/8648>`__: BUG: Fix MaskedArray.__setitem__
* `#8659 <https://github.com/numpy/numpy/pull/8659>`__: BUG: PPC64el machines are POWER for Fortran in f2py
* `#8665 <https://github.com/numpy/numpy/pull/8665>`__: BUG: Look up methods on MaskedArray in `_frommethod`
* `#8674 <https://github.com/numpy/numpy/pull/8674>`__: BUG: Remove extra digit in binary_repr at limit
* `#8704 <https://github.com/numpy/numpy/pull/8704>`__: BUG: Fix deepcopy regression for empty arrays.
* `#8707 <https://github.com/numpy/numpy/pull/8707>`__: BUG: Fix ma.median for empty ndarrays

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