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authoradam <adam@pkgsrc.org>2018-11-05 09:23:26 +0000
committeradam <adam@pkgsrc.org>2018-11-05 09:23:26 +0000
commitaac489e79eacfccda0eca4d800a7c2c89e9df03e (patch)
tree71220d816b150462e36a2e9a15fd328e8e43aa59 /math/py-numpy
parent583e66f450980781683e61309581857a9c0370f4 (diff)
downloadpkgsrc-aac489e79eacfccda0eca4d800a7c2c89e9df03e.tar.gz
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.
Diffstat (limited to 'math/py-numpy')
-rw-r--r--math/py-numpy/Makefile4
-rw-r--r--math/py-numpy/distinfo10
2 files changed, 7 insertions, 7 deletions
diff --git a/math/py-numpy/Makefile b/math/py-numpy/Makefile
index 2ca8fa99013..7e48eaec4c1 100644
--- a/math/py-numpy/Makefile
+++ b/math/py-numpy/Makefile
@@ -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= ${MASTER_SITE_PYPI:=n/numpy/}
diff --git a/math/py-numpy/distinfo b/math/py-numpy/distinfo
index 6a285f49e57..b467218994f 100644
--- a/math/py-numpy/distinfo
+++ b/math/py-numpy/distinfo
@@ -1,9 +1,9 @@
-$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