Wed May 2 04:42:25 2018 UTC ()
py-numpy: updated to 1.14.3

NumPy 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


(adam)
diff -r1.47 -r1.48 pkgsrc/math/py-numpy/Makefile
diff -r1.29 -r1.30 pkgsrc/math/py-numpy/distinfo
cvs diff -r1.47 -r1.48 pkgsrc/math/py-numpy/Makefile (expand / switch to unified diff)

--- pkgsrc/math/py-numpy/Makefile 2018/03/13 11:34:08 1.47
+++ pkgsrc/math/py-numpy/Makefile 2018/05/02 04:42:25 1.48
@@ -1,16 +1,16 @@ @@ -1,16 +1,16 @@
1# $NetBSD: Makefile,v 1.47 2018/03/13 11:34:08 adam Exp $ 1# $NetBSD: Makefile,v 1.48 2018/05/02 04:42:25 adam Exp $
2 2
3DISTNAME= numpy-1.14.2 3DISTNAME= numpy-1.14.3
4PKGNAME= ${PYPKGPREFIX}-${DISTNAME} 4PKGNAME= ${PYPKGPREFIX}-${DISTNAME}
5CATEGORIES= math python 5CATEGORIES= math python
6MASTER_SITES= ${MASTER_SITE_PYPI:=n/numpy/} 6MASTER_SITES= ${MASTER_SITE_PYPI:=n/numpy/}
7EXTRACT_SUFX= .zip 7EXTRACT_SUFX= .zip
8 8
9MAINTAINER= pkgsrc-users@NetBSD.org 9MAINTAINER= pkgsrc-users@NetBSD.org
10HOMEPAGE= http://www.numpy.org/ 10HOMEPAGE= http://www.numpy.org/
11COMMENT= Array processing for numbers, strings, records, and objects 11COMMENT= Array processing for numbers, strings, records, and objects
12LICENSE= modified-bsd 12LICENSE= modified-bsd
13 13
14USE_LANGUAGES= c fortran 14USE_LANGUAGES= c fortran
15MAKE_ENV+= ATLAS=None 15MAKE_ENV+= ATLAS=None
16 16
cvs diff -r1.29 -r1.30 pkgsrc/math/py-numpy/distinfo (expand / switch to unified diff)

--- pkgsrc/math/py-numpy/distinfo 2018/04/03 18:30:45 1.29
+++ pkgsrc/math/py-numpy/distinfo 2018/05/02 04:42:25 1.30
@@ -1,11 +1,11 @@ @@ -1,11 +1,11 @@
1$NetBSD: distinfo,v 1.29 2018/04/03 18:30:45 minskim Exp $ 1$NetBSD: distinfo,v 1.30 2018/05/02 04:42:25 adam Exp $
2 2
3SHA1 (numpy-1.14.2.zip) = 5ec276608988456aa136ec14e132b17b59faf70a 3SHA1 (numpy-1.14.3.zip) = 7c38949d06cf4e090eb96cbafa6269546561a80c
4RMD160 (numpy-1.14.2.zip) = 7aca331765830978ae90a92c9fd81a6527d5ab32 4RMD160 (numpy-1.14.3.zip) = cf0ab10d8a4da4bb9c21f38889043d8652ca1d49
5SHA512 (numpy-1.14.2.zip) = a50aadff433c52699060ed36fd16bff82bc42f9b1b51627a8b3ad63aed994d218071c7b8ef12e29f6b50f440e12081b47c0447991011eac0b86b558029e36802 5SHA512 (numpy-1.14.3.zip) = 8ff6a9d4a94be988ef104e9e0cccd2174a62786fa5ca5219cd05d33e7077a32addaeaa3d79d8266d31c5a4ef4d887340bae5d498a0f647f6323414aa37d0ebc8
6Size (numpy-1.14.2.zip) = 4891884 bytes 6Size (numpy-1.14.3.zip) = 4899927 bytes
7SHA1 (patch-aa) = c964fa13fb120b1b0f9d0bf5bc713507cd60b945 7SHA1 (patch-aa) = c964fa13fb120b1b0f9d0bf5bc713507cd60b945
8SHA1 (patch-ab) = b421455fdbb666c8075d8bffbeb59533434d23e6 8SHA1 (patch-ab) = b421455fdbb666c8075d8bffbeb59533434d23e6
9SHA1 (patch-numpy_distutils_fcompiler_g95.py) = be73b64a3e551df998b6a904d6db762bf28a98ed 9SHA1 (patch-numpy_distutils_fcompiler_g95.py) = be73b64a3e551df998b6a904d6db762bf28a98ed
10SHA1 (patch-numpy_distutils_fcompiler_gnu.py) = 4b0833d09560ebb954dd53ebc5cdcce339705bac 10SHA1 (patch-numpy_distutils_fcompiler_gnu.py) = 4b0833d09560ebb954dd53ebc5cdcce339705bac
11SHA1 (patch-numpy_distutils_system__info.py) = dfd88a140b65a66c222a95ea4be6f20a33702e3b 11SHA1 (patch-numpy_distutils_system__info.py) = dfd88a140b65a66c222a95ea4be6f20a33702e3b