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CVS commit: pkgsrc/math/py-numpy



Module Name:    pkgsrc
Committed By:   adam
Date:           Wed May  2 04:42:25 UTC 2018

Modified Files:
        pkgsrc/math/py-numpy: Makefile distinfo

Log Message:
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


To generate a diff of this commit:
cvs rdiff -u -r1.47 -r1.48 pkgsrc/math/py-numpy/Makefile
cvs rdiff -u -r1.29 -r1.30 pkgsrc/math/py-numpy/distinfo

Please note that diffs are not public domain; they are subject to the
copyright notices on the relevant files.

Modified files:

Index: pkgsrc/math/py-numpy/Makefile
diff -u pkgsrc/math/py-numpy/Makefile:1.47 pkgsrc/math/py-numpy/Makefile:1.48
--- pkgsrc/math/py-numpy/Makefile:1.47  Tue Mar 13 11:34:08 2018
+++ pkgsrc/math/py-numpy/Makefile       Wed May  2 04:42:25 2018
@@ -1,6 +1,6 @@
-# $NetBSD: Makefile,v 1.47 2018/03/13 11:34:08 adam Exp $
+# $NetBSD: Makefile,v 1.48 2018/05/02 04:42:25 adam Exp $
 
-DISTNAME=      numpy-1.14.2
+DISTNAME=      numpy-1.14.3
 PKGNAME=       ${PYPKGPREFIX}-${DISTNAME}
 CATEGORIES=    math python
 MASTER_SITES=  ${MASTER_SITE_PYPI:=n/numpy/}

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



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