development/numpy: Updated for version 1.14.3.

Signed-off-by: David Spencer <idlemoor@slackbuilds.org>

3 files changed, 22 insertions, 20 deletions

diff --git a/development/numpy/README b/development/numpy/README
index 10cd6ba81d3e5..194190812c53b 100644
--- a/development/numpy/README
+++ b/development/numpy/README
@@ -1,13 +1,13 @@
-NumPy is a general-purpose array-processing package designed to
-efficiently manipulate large multi-dimensional arrays of arbitrary
-records without sacrificing too much speed for small multi-dimensional
-arrays.  NumPy is built on the Numeric code base and adds features
-introduced by numarray as well as an extended C-API and the ability to
-create arrays of arbitrary type which also makes NumPy suitable for
-interfacing with general-purpose data-base applications.
+NumPy is a general-purpose array-processing package designed to efficiently
+manipulate large multi-dimensional arrays of arbitrary records without
+sacrificing too much speed for small multi-dimensional arrays.  NumPy is built
+on the Numeric code base and adds features introduced by numarray as well as an
+extended C-API and the ability to create arrays of arbitrary type which also
+makes NumPy suitable for interfacing with general-purpose data-base
+applications.
 
-There are also basic facilities for discrete fourier transform, basic
-linear algebra and random number generation.
+There are also basic facilities for discrete fourier transform, basic linear
+algebra and random number generation.
 
 If you need to build numpy for debugging, set DEBUG=y. If you use software
 which is having problems with numpy's new relaxed strides checking, set
@@ -15,20 +15,20 @@ NPY_RSC=0.
 
 It is highly recommended to install libraries implementing BLAS and LAPACK
 before installing numpy. You may choose between:
-   a) BLAS and LAPACK (reference but unoptimized and thus slow)
+   a) blas and lapack (reference but unoptimized and thus slow)
    b) OpenBLAS (optimized, provides LAPACK too)
-   c) ATLAS and LAPACK (optimized), good to read README.ATLAS
+   c) atlas and lapack (optimized), good to read README.ATLAS
 All these are available on SlackBuilds.org.
 
 If you want to use the UMFPACK library instead of SuperLU to solve unsymmetric
 sparse linear systems, then run this Slackbuild with NO_UMFPACK set to "no"
-and then install scikit-umfpack on top of scipy. In this context, UMFPACK is an
+and then install scikit-umfpack on top of scipy. In this context, umfpack is an
 optional dependency for numpy. Nevertheless, note that presently scikit-umfpack
-is not available on SlackBuilds.org while its dependencies are.
+is not available on SlackBuilds.org.
 
 NOTE: If you use this SlackBuild, numpy will run with the python version
       provided by Slackware Linux, which is presently 2.7.xx. If you'd like to
-      use python 3.x then you have to install numpy with the numpy3 SlackBuild.
+      use python 3.x then you have to install the numpy3 SlackBuild.
 
 IMPORTANT: The version installed by this SlackBuild does NOT include the
            oldnumeric and numarray compatibility modules since starting with
diff --git a/development/numpy/numpy.SlackBuild b/development/numpy/numpy.SlackBuild
index 1cbea85539646..2e7d81354bf1a 100644
--- a/development/numpy/numpy.SlackBuild
+++ b/development/numpy/numpy.SlackBuild
@@ -2,7 +2,7 @@
 
 # Slackware build script for NumPy
 
-# Copyright 2011-2016 Serban Udrea <s.udrea@gsi.de>
+# Copyright 2011-2018 Serban Udrea <s.udrea@gsi.de>
 # All rights reserved.
 #
 # Redistribution and use of this script, with or without modification,
@@ -24,7 +24,7 @@
 # POSSIBILITY OF SUCH DAMAGE.
 
 # Written by Aleksandar Samardzic <asamardzic@gmail.com>
-# Updated up to 1.11.1 by Serban Udrea <S.Udrea@gsi.de>
+# Updated up to 1.14.3 by Serban Udrea <S.Udrea@gsi.de>
 #
 # Added support for building with debugging symbols (S. Udrea)
 #
@@ -38,9 +38,11 @@
 #
 # Added the possibility to force numpy to link to different kinds of the
 # ATLAS library (S. Udrea)
+#
+# Thanks go to Pedro Ribeiro Mendes Júnior for help with the upgrade to 1.14.3.
 
 PRGNAM=numpy
-VERSION=${VERSION:-1.11.1}
+VERSION=${VERSION:-1.14.3}
 BUILD=${BUILD:-1}
 TAG=${TAG:-_SBo}
 
diff --git a/development/numpy/numpy.info b/development/numpy/numpy.info
index f94e077438cc4..465cc574d20c5 100644
--- a/development/numpy/numpy.info
+++ b/development/numpy/numpy.info
@@ -1,8 +1,8 @@
 PRGNAM="numpy"
-VERSION="1.11.1"
+VERSION="1.14.3"
 HOMEPAGE="http://numpy.scipy.org/"
-DOWNLOAD="http://download.sourceforge.net/project/numpy/NumPy/1.11.1/numpy-1.11.1.tar.gz"
-MD5SUM="2f44a895a8104ffac140c3a70edbd450"
+DOWNLOAD="https://github.com/numpy/numpy/releases/download/v1.14.3/numpy-1.14.3.tar.gz"
+MD5SUM="7c3c806ae27196c92d2fb3fbd4991e81"
 DOWNLOAD_x86_64=""
 MD5SUM_x86_64=""
 REQUIRES=""