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development/numpy: Updated for version 1.14.3. 

Signed-off-by: David Spencer <idlemoor@slackbuilds.org>
This commit is contained in:
Serban Udrea 2018-05-31 00:32:07 +01:00 committed by Willy Sudiarto Raharjo
parent 30fa66eae2
commit 73ad391a11
3 changed files with 22 additions and 20 deletions
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development/numpy/README
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@ -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

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development/numpy/numpy.SlackBuild
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# 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}

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development/numpy/numpy.info
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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=""