CVS commit: pkgsrc/math/py-numpy

["Adam Ciarcinski" <adam%netbsd.org@localhost>]

Module Name:    pkgsrc
Committed By:   adam
Date:           Mon Nov  5 09:23:26 UTC 2018

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

Log Message:
py-numpy: updated to 1.15.4

NumPy 1.15.4:

This is a bugfix release for bugs and regressions reported following the 1.15.3
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 -r1.55 -r1.56 pkgsrc/math/py-numpy/Makefile
cvs rdiff -u -r1.37 -r1.38 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:1.55 pkgsrc/math/py-numpy/Makefile:1.56
--- pkgsrc/math/py-numpy/Makefile:1.55  Wed Oct 31 13:13:20 2018
+++ pkgsrc/math/py-numpy/Makefile       Mon Nov  5 09:23:26 2018
@@ -1,6 +1,6 @@
-# $NetBSD: Makefile,v 1.55 2018/10/31 13:13:20 adam Exp $
+# $NetBSD: Makefile,v 1.56 2018/11/05 09:23:26 adam Exp $
 
-DISTNAME=      numpy-1.15.3
+DISTNAME=      numpy-1.15.4
 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:1.37 pkgsrc/math/py-numpy/distinfo:1.38
--- pkgsrc/math/py-numpy/distinfo:1.37  Wed Oct 31 13:13:20 2018
+++ pkgsrc/math/py-numpy/distinfo       Mon Nov  5 09:23:26 2018
@@ -1,9 +1,9 @@
-$NetBSD: distinfo,v 1.37 2018/10/31 13:13:20 adam Exp $
+$NetBSD: distinfo,v 1.38 2018/11/05 09:23:26 adam Exp $
 
-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 (numpy-1.15.4.zip) = 6c9b149c8a24ab792828db997fdfcef8bf7a1bc5
+RMD160 (numpy-1.15.4.zip) = 101e2b1ab8c93b9ca10026c9cbc6da5f5721cdfb
+SHA512 (numpy-1.15.4.zip) = 9e0516da04368f0353fb7e3cc2c72e1ec936042908309732a298405bd7111e712899627b82f3674295b611e0ebfd74ef91d693f065fe9cb03dc7de23d1e72676
+Size (numpy-1.15.4.zip) = 4473522 bytes
 SHA1 (patch-aa) = c964fa13fb120b1b0f9d0bf5bc713507cd60b945
 SHA1 (patch-ab) = b421455fdbb666c8075d8bffbeb59533434d23e6
 SHA1 (patch-numpy_distutils_fcompiler_g95.py) = be73b64a3e551df998b6a904d6db762bf28a98ed