[pkgsrc/trunk]: pkgsrc/math/py-numpy math/py-numpy: Update to 1.16.6

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

details:   https://anonhg.NetBSD.org/pkgsrc/rev/0d0a2995ac6c
branches:  trunk
changeset: 410877:0d0a2995ac6c
user:      minskim <minskim%pkgsrc.org@localhost>
date:      Thu Jan 30 23:34:28 2020 +0000

description:
math/py-numpy: Update to 1.16.6

Changes:

- The np.testing.utils functions have been updated from
  1.19.0-dev0. This improves the function documentation and error
  messages as well extending the assert_array_compare function to
  additional types.
- Allow matmul (@) to work with object arrays.
- Fix regression in matmul (@) for boolean types.
- Array comparison assertions include maximum differences.

diffstat:

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

diffs (30 lines):

diff -r 6b78cfeddceb -r 0d0a2995ac6c math/py-numpy/Makefile
--- a/math/py-numpy/Makefile    Thu Jan 30 23:32:31 2020 +0000
+++ b/math/py-numpy/Makefile    Thu Jan 30 23:34:28 2020 +0000
@@ -1,6 +1,6 @@
-# $NetBSD: Makefile,v 1.62 2020/01/24 16:18:22 minskim Exp $
+# $NetBSD: Makefile,v 1.63 2020/01/30 23:34:28 minskim Exp $
 
-DISTNAME=      numpy-1.16.5
+DISTNAME=      numpy-1.16.6
 PKGNAME=       ${PYPKGPREFIX}-${DISTNAME}
 CATEGORIES=    math python
 MASTER_SITES=  ${MASTER_SITE_PYPI:=n/numpy/}
diff -r 6b78cfeddceb -r 0d0a2995ac6c math/py-numpy/distinfo
--- a/math/py-numpy/distinfo    Thu Jan 30 23:32:31 2020 +0000
+++ b/math/py-numpy/distinfo    Thu Jan 30 23:34:28 2020 +0000
@@ -1,9 +1,9 @@
-$NetBSD: distinfo,v 1.45 2020/01/24 16:18:22 minskim Exp $
+$NetBSD: distinfo,v 1.46 2020/01/30 23:34:28 minskim Exp $
 
-SHA1 (numpy-1.16.5.zip) = fabf1564bd4e77ff04ad52746eacfdf6c7fa51f2
-RMD160 (numpy-1.16.5.zip) = 090ecd6be112178155cd011ee57e65088211d7ef
-SHA512 (numpy-1.16.5.zip) = 6dd790ff57fdb7e7b0bddb47ea2b70b2667edefe632548ec68934e12a16af4a51bed9726e495c4993aad4c448dc4a204d0a087577d43dcfc9fa0164eb1d4b898
-Size (numpy-1.16.5.zip) = 5138208 bytes
+SHA1 (numpy-1.16.6.zip) = 99bc8b723639066168cca0c9a3b68c36c73bddc2
+RMD160 (numpy-1.16.6.zip) = af2c5ec5956986b061a5cf067de5685098b6846f
+SHA512 (numpy-1.16.6.zip) = c219841cc804c194a38b8e046b83265b8b7a35be8f33d68561ef17b085465dd11bd1e84fe1baea809af0efb09a9b13283f13728d125fcdd2221c30ec23fd0a50
+Size (numpy-1.16.6.zip) = 5143340 bytes
 SHA1 (patch-numpy_distutils_fcompiler_____init____.py) = 49d070da5b48bd9818b37ac3254341fa68503c53
 SHA1 (patch-numpy_distutils_fcompiler_g95.py) = be73b64a3e551df998b6a904d6db762bf28a98ed
 SHA1 (patch-numpy_distutils_fcompiler_gnu.py) = db8d3238c618ecd5900650a2150efb9459e94e96