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CVS commit: pkgsrc/math/py-numpy



Module Name:    pkgsrc
Committed By:   adam
Date:           Wed Oct 31 13:13:20 UTC 2018

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

Log Message:
py-numpy: updated to 1.15.3

NumPy 1.15.3:
This is a bugfix release for bugs and regressions reported following the 1.15.2
release.  The Python versions supported by this release are 2.7, 3.4-3.7. The
wheels are linked with OpenBLAS v0.3.0, which should fix some of the linalg
problems reported for NumPy 1.14.


To generate a diff of this commit:
cvs rdiff -u -r1.54 -r1.55 pkgsrc/math/py-numpy/Makefile
cvs rdiff -u -r1.36 -r1.37 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:1.54 pkgsrc/math/py-numpy/Makefile:1.55
--- pkgsrc/math/py-numpy/Makefile:1.54  Mon Sep 24 09:01:20 2018
+++ pkgsrc/math/py-numpy/Makefile       Wed Oct 31 13:13:20 2018
@@ -1,6 +1,6 @@
-# $NetBSD: Makefile,v 1.54 2018/09/24 09:01:20 adam Exp $
+# $NetBSD: Makefile,v 1.55 2018/10/31 13:13:20 adam Exp $
 
-DISTNAME=      numpy-1.15.2
+DISTNAME=      numpy-1.15.3
 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:1.36 pkgsrc/math/py-numpy/distinfo:1.37
--- pkgsrc/math/py-numpy/distinfo:1.36  Mon Sep 24 09:01:20 2018
+++ pkgsrc/math/py-numpy/distinfo       Wed Oct 31 13:13:20 2018
@@ -1,9 +1,9 @@
-$NetBSD: distinfo,v 1.36 2018/09/24 09:01:20 adam Exp $
+$NetBSD: distinfo,v 1.37 2018/10/31 13:13:20 adam Exp $
 
-SHA1 (numpy-1.15.2.zip) = 71404df59f7a07d34274d95febc7bbc0101685bb
-RMD160 (numpy-1.15.2.zip) = 22075d72e14f98cd8b25d1c2fa57d62a861741bd
-SHA512 (numpy-1.15.2.zip) = 6a2c9c5e67963558749e6468d79c7dc55f13749400640dbb7dea8c87a30c9cadb04df6b3cf3f92ac7d720486ef3f3c248ab4680b954e7adeb44edf2f2a072250
-Size (numpy-1.15.2.zip) = 4484511 bytes
+SHA1 (numpy-1.15.3.zip) = dec55c62ed88f08348ff01b6f277271a7ab9de8a
+RMD160 (numpy-1.15.3.zip) = 3c8ce2d473a88f7c59618b3150a88012f7e1419c
+SHA512 (numpy-1.15.3.zip) = 5d3e399c54c8ffacae3518011c5fba523b463a300a44c454c149c57365d2cfad370f292952c93ea0a98b3cdd4f67824b8d02ff4638106e57524f315ccb6a5c3c
+Size (numpy-1.15.3.zip) = 4487045 bytes
 SHA1 (patch-aa) = c964fa13fb120b1b0f9d0bf5bc713507cd60b945
 SHA1 (patch-ab) = b421455fdbb666c8075d8bffbeb59533434d23e6
 SHA1 (patch-numpy_distutils_fcompiler_g95.py) = be73b64a3e551df998b6a904d6db762bf28a98ed



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