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development/numpy-legacy3: Added (a Python extension).
Signed-off-by: Willy Sudiarto Raharjo <willysr@slackbuilds.org>
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38
development/numpy-legacy3/README
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38
development/numpy-legacy3/README
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NumPy is a general-purpose array-processing package designed to
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efficiently manipulate large multi-dimensional arrays of arbitrary
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records without sacrificing too much speed for small multi-dimensional
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arrays. NumPy is built on the Numeric code base and adds features
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introduced by numarray as well as an extended C-API and the ability to
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create arrays of arbitrary type which also makes NumPy suitable for
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interfacing with general-purpose data-base applications.
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There are also basic facilities for discrete fourier transform, basic
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linear algebra and random number generation.
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If you need to build numpy for debugging, set DEBUG=y. If you use software
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which is having problems with numpy's new relaxed strides checking, set
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NPY_RSC=0.
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It is highly recommended to install libraries implementing BLAS and LAPACK
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before installing numpy. You may choose between:
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a) BLAS and LAPACK (reference but unoptimized and thus slow)
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b) OpenBLAS (optimized, provides LAPACK too)
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c) ATLAS and LAPACK (optimized), good to read README.ATLAS
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All these are available on SlackBuilds.org.
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If you want to use the UMFPACK library instead of SuperLU to solve unsymmetric
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sparse linear systems, then run this Slackbuild with NO_UMFPACK set to "no"
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and then install scikit-umfpack on top of scipy. In this context, UMFPACK is an
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optional dependency for numpy. Nevertheless, note that presently scikit-umfpack
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is not available on SlackBuilds.org while its dependencies are.
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NOTE: If you use this SlackBuild numpy will run with the python 3 version
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installed on your system. If you'd like to use python 2.7.xx as
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provided by Slackware Linux then you have to install it with the
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numpy-legacy SlackBuild.
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IMPORTANT: This version, 1.8.2, is the latest to include the oldnumeric
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and numarray compatibility modules. Starting with version
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1.9.0 these modules got removed by the numpy developers.
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THUS: This SlackBuild conflicts with the numpy3 SlackBuild
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which installs versions >= 1.9.0!
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13
development/numpy-legacy3/README.ATLAS
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development/numpy-legacy3/README.ATLAS
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The numpy v. 1.8.2 is not able to autodetect the shared libraries created by
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newer versions of ATLAS. Thus if one lets ATLAS create these libraries, she
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has to tell numpy about them.
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By default the numpy-legacy script forces numpy to look for the shared, threaded
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ATLAS libraries. If you want to change this behaviour you have the following
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possibilities:
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a) Set ATLAS_SHARED to "no". In this case numpy will just look for the
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apropriate static libraries.
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b) Set ATLAS_THREADS to "no". In this case numpy will be forced to look for
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the single threaded ATLAS libraries, static or shared depending on the
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value of ATLAS_SHARED. Otherwise it will look for the threaded ones.
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development/numpy-legacy3/numpy-legacy3.SlackBuild
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development/numpy-legacy3/numpy-legacy3.SlackBuild
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#!/bin/sh
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# Slackware build script for the latest version of NumPy to include
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# the compatibility layer with numeric and numarray. This is supposed
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# to be build with python 3. Tested up to python 3.5.2
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# Copyright 2016 Serban Udrea <s.udrea@gsi.de>
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# All rights reserved.
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#
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# Redistribution and use of this script, with or without modification,
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# is permitted provided that the following conditions are met:
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#
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# 1. Redistributions of this script must retain the above copyright
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# notice, this list of conditions and the following disclaimer.
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#
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# THIS SOFTWARE IS PROVIDED BY THE AUTHOR ''AS IS'' AND ANY EXPRESS OR
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# IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
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# WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
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# DISCLAIMED. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY DIRECT,
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# INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
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# (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
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# SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION)
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# HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT,
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# STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING
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# IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
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# POSSIBILITY OF SUCH DAMAGE.
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# Written by Aleksandar Samardzic <asamardzic@gmail.com>
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# Updated up to 1.11.1 by Serban Udrea <S.Udrea@gsi.de>
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#
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# Added support for building with debugging symbols (S. Udrea)
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#
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# LIBDIRSUFFIX is now needed to set the proper path for
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# UMFPACK (S. Udrea)
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#
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# Since UMFPACK is not used anymore by scipy but by the optional package
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# scikit-umfpack, the configuration of this and the corresponding AMD library
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# is now optional. One has to set NO_UMFPACK to "no" to create the apropriate
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# configuration file before building numpy. (S. Udrea)
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#
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# Added support for newer versions of ATLAS (3.10.x) (S. Udrea)
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#
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# Added the possibility to force numpy to link to different kinds of the
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# ATLAS library (S. Udrea)
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PRGNAM="numpy-legacy3"
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VERSION=${VERSION:-1.8.2}
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BUILD=${BUILD:-1}
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TAG=${TAG:-_SBo}
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TARBALL_NAME="numpy" # This is actually what we are going to install
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if [ -z "$ARCH" ]; then
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case "$( uname -m )" in
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i?86) ARCH=i586 ;;
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arm*) ARCH=arm ;;
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*) ARCH=$( uname -m ) ;;
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esac
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fi
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if [ "$ARCH" = "i586" ]; then
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SLKCFLAGS="-O2 -march=i586 -mtune=i686"
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LIBDIRSUFFIX=""
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elif [ "$ARCH" = "i686" ]; then
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SLKCFLAGS="-O2 -march=i686 -mtune=i686"
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LIBDIRSUFFIX=""
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elif [ "$ARCH" = "x86_64" ]; then
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SLKCFLAGS="-O2 -fPIC"
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LIBDIRSUFFIX="64"
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else
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SLKCFLAGS="-O2"
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LIBDIRSUFFIX=""
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fi
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CWD=$(pwd)
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TMP=${TMP:-/tmp/SBo}
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PKG=${PKG:-$TMP/package-$PRGNAM}
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OUTPUT=${OUTPUT:-/tmp}
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set -e
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rm -rf $PKG
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mkdir -p $TMP $PKG $OUTPUT
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cd $TMP
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rm -rf $TARBALL_NAME-$VERSION
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tar xvf $CWD/$TARBALL_NAME-$VERSION.tar.gz
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cd $TARBALL_NAME-$VERSION
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chown -R root:root .
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find -L . \
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\( -perm 777 -o -perm 775 -o -perm 750 -o -perm 711 -o -perm 555 -o -perm 511 \) \
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-exec chmod 755 {} \; -o \
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\( -perm 666 -o -perm 664 -o -perm 640 -o -perm 600 -o -perm 444 \
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-o -perm 440 -o -perm 400 \) -exec chmod 644 {} \;
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# Tell numpy about the new names of the ATLAS shared libraries. This doesn't
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# force compilation against ATLAS, just makes sure that numpy does not link
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# against the static libraries, in case ATLAS is chosen.
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#
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ATLAS_SHARED="${ATLAS_SHARED:-yes}"
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ATLAS_SHARED=$(echo "$ATLAS_SHARED"|cut -b 1|tr a-z A-Z)
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ATLAS_THREADS="${ATLAS_THREADS:-yes}"
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ATLAS_THREADS=$(echo "$ATLAS_THREADS"|cut -b 1|tr a-z A-Z)
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if [ "$ATLAS_SHARED" = "Y" ]; then
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if [ "$ATLAS_THREADS" = "Y" ]; then
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echo -e "[atlas]\natlas_libs = tatlas" >> site.cfg
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echo -e "lapack_libs = tatlas\nlapack_atlas = tatlas\n" >> site.cfg
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else
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echo -e "[atlas]\natlas_libs = satlas" >> site.cfg
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echo -e "lapack_libs = satlas\nlapack_atlas = satlas\n" >> site.cfg
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fi
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else
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if [ "$ATLAS_THREADS" = "Y" ]; then
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echo -e "[atlas]\natlas_libs = ptf77blas,ptcblas,atlas" >> site.cfg
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echo -e "lapack_libs = ptlapack\nlapack_atlas = ptlapack\n" >> site.cfg
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else
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echo -e "[atlas]\natlas_libs = f77blas,cblas,atlas" >> site.cfg
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echo -e "lapack_libs = lapack\nlapack_atlas = lapack\n" >> site.cfg
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fi
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fi
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NO_UMFPACK=${NO_UMFPACK:-yes}
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case "$NO_UMFPACK" in
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[yY]|[yY][eE][sS]) NO_UMFPACK="y" ;;
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*) NO_UMFPACK="" ;;
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esac
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if [ ! "$NO_UMFPACK" ]; then
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echo -e "[amd]\nlibrary_dirs = /usr/lib${LIBDIRSUFFIX}" >> site.cfg
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echo -e "include_dirs = /usr/include/amd\namd_libs = amd\n" >> site.cfg
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echo -e "[umfpack]\nlibrary_dirs = /usr/lib${LIBDIRSUFFIX}" >> site.cfg
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echo -e "include_dirs = /usr/include/umfpack\numfpack_libs = umfpack\n" \
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>> site.cfg
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fi
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DEBUG=${DEBUG:-no}
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case "$DEBUG" in
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[yY]|[yY][eE][sS]) DEBUG="y" ;;
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*) DEBUG="" ;;
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esac
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if [ ! "$DEBUG" ]; then
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NPY_RELAXED_STRIDES_CHECKING=${NPY_RSC:-1} python3 setup.py install --root $PKG
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find $PKG | xargs file | grep -e "executable" -e "shared object" | grep ELF \
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| cut -f 1 -d : | xargs strip --strip-unneeded 2> /dev/null || true
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else
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NPY_RELAXED_STRIDES_CHECKING=${NPY_RSC:-1} python3 setup.py build --debug
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python3 setup.py install --root $PKG
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fi
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mkdir -p $PKG/usr/doc/$TARBALL_NAME-$VERSION
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cp -a COMPATIBILITY DEV_README.txt LICENSE.txt README.txt THANKS.txt\
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$PKG/usr/doc/$TARBALL_NAME-$VERSION
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cat $CWD/${PRGNAM}.SlackBuild > \
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$PKG/usr/doc/$TARBALL_NAME-$VERSION/${PRGNAM}.SlackBuild
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find $PKG/usr/doc -type f -exec chmod 0644 {} \;
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mkdir -p $PKG/install
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cat $CWD/slack-desc > $PKG/install/slack-desc
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cd $PKG
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/sbin/makepkg -l y -c n $OUTPUT/$PRGNAM-$VERSION-$ARCH-$BUILD$TAG.${PKGTYPE:-tgz}
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development/numpy-legacy3/numpy-legacy3.info
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development/numpy-legacy3/numpy-legacy3.info
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PRGNAM="numpy-legacy3"
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VERSION="1.8.2"
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HOMEPAGE="http://numpy.scipy.org/"
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DOWNLOAD="http://download.sourceforge.net/project/numpy/NumPy/1.8.2/numpy-1.8.2.tar.gz"
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MD5SUM="dd8eece8f6fda3a13836de4adbafb0cb"
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DOWNLOAD_x86_64=""
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MD5SUM_x86_64=""
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REQUIRES="python3"
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MAINTAINER="Serban Udrea"
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EMAIL="S.Udrea@gsi.de"
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21
development/numpy-legacy3/slack-desc
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21
development/numpy-legacy3/slack-desc
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# HOW TO EDIT THIS FILE:
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# The "handy ruler" below makes it easier to edit a package description.
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# Line up the first '|' above the ':' following the base package name, and
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# the '|' on the right side marks the last column you can put a character in.
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# You must make exactly 11 lines for the formatting to be correct. It's also
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# customary to leave one space after the ':' except on otherwise blank lines.
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|-----handy-ruler------------------------------------------------------|
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numpy-legacy3: numpy (a Python extension for scientific computing)
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numpy-legacy3:
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numpy-legacy3: NumPy is an extension to the Python programming language, adding
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numpy-legacy3: support for large, multi-dimensional arrays and matrices along
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numpy-legacy3: with a large library of high-level mathematical functions to
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numpy-legacy3: operate on these arrays.
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numpy-legacy3: This package installs the last version of NumPy known to offer the
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numpy-legacy3: compatibility layer with its predecessors numeric and numarray.
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numpy-legacy3:
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numpy-legacy3: Homepage: http://numpy.scipy.org/
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numpy-legacy3:
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numpy-legacy3:
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numpy-legacy3:
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