[pkgsrc/trunk]: pkgsrc/math/py-numpy py-numpy: updated to 1.14.1

[adam <adam%pkgsrc.org@localhost>]

details:   https://anonhg.NetBSD.org/pkgsrc/rev/b801399f3a5d
branches:  trunk
changeset: 375834:b801399f3a5d
user:      adam <adam%pkgsrc.org@localhost>
date:      Thu Feb 22 10:50:47 2018 +0000

description:
py-numpy: updated to 1.14.1

NumPy 1.14.1 Release Notes

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.

diffstat:

 math/py-numpy/Makefile |   4 ++--
 math/py-numpy/distinfo |  10 +++++-----
 2 files changed, 7 insertions(+), 7 deletions(-)

diffs (30 lines):

diff -r 18d612ebfdbc -r b801399f3a5d math/py-numpy/Makefile
--- a/math/py-numpy/Makefile    Thu Feb 22 10:34:47 2018 +0000
+++ b/math/py-numpy/Makefile    Thu Feb 22 10:50:47 2018 +0000
@@ -1,6 +1,6 @@
-# $NetBSD: Makefile,v 1.45 2018/01/10 08:31:24 adam Exp $
+# $NetBSD: Makefile,v 1.46 2018/02/22 10:50:47 adam Exp $
 
-DISTNAME=      numpy-1.14.0
+DISTNAME=      numpy-1.14.1
 GITHUB_PROJECT=        numpy
 PKGNAME=       ${PYPKGPREFIX}-${DISTNAME}
 CATEGORIES=    math python
diff -r 18d612ebfdbc -r b801399f3a5d math/py-numpy/distinfo
--- a/math/py-numpy/distinfo    Thu Feb 22 10:34:47 2018 +0000
+++ b/math/py-numpy/distinfo    Thu Feb 22 10:50:47 2018 +0000
@@ -1,9 +1,9 @@
-$NetBSD: distinfo,v 1.26 2018/01/10 08:31:24 adam Exp $
+$NetBSD: distinfo,v 1.27 2018/02/22 10:50:47 adam Exp $
 
-SHA1 (numpy-1.14.0.tar.gz) = 2696bae726d13584a6fd23be8ca9bc6cc17f5a79
-RMD160 (numpy-1.14.0.tar.gz) = 9837f53c5b1e5a1ef9d7e829df9a37ce1415dfb1
-SHA512 (numpy-1.14.0.tar.gz) = 4ebb8d34fefc9043d325b5381c71c0ec437649a9116a4518f0af2d5c9a4d3254073c694aaf1ac02368b263673924fe5234341c7d88dd6032a93ea70cf6c0b8bf
-Size (numpy-1.14.0.tar.gz) = 4267900 bytes
+SHA1 (numpy-1.14.1.tar.gz) = cf5ee7c523ba025df780dc44bbb0280ad006cbc9
+RMD160 (numpy-1.14.1.tar.gz) = c774ee8dfdbe0281f5104b5af3d4607593bc3752
+SHA512 (numpy-1.14.1.tar.gz) = 8cf537f9d7818840ea4c81d2bdb9e6c90c75385024d0d52eb52578173bee9207b7b4a2e8f4287dee30c00c1cbb7aa52e44dbd73cc581884fb63b79bc4630195d
+Size (numpy-1.14.1.tar.gz) = 4276244 bytes
 SHA1 (patch-aa) = c964fa13fb120b1b0f9d0bf5bc713507cd60b945
 SHA1 (patch-ab) = b421455fdbb666c8075d8bffbeb59533434d23e6
 SHA1 (patch-numpy_distutils_fcompiler_g95.py) = be73b64a3e551df998b6a904d6db762bf28a98ed