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academic/python2-scipy: Added (math, science, & engineering py2 lib)
Replacement for academic/scipy Signed-off-by: Willy Sudiarto Raharjo <willysr@slackbuilds.org>
This commit is contained in:
Serban Udrea
Willy Sudiarto Raharjo
parent
e9990480f3
commit
7c7f2a2aa7
4 changed files with 156 additions and 0 deletions
25
academic/python2-scipy/README
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academic/python2-scipy/README
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SciPy (pronounced "Sigh Pie") is open-source software for mathematics,
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science, and engineering.
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The SciPy library is built to work with NumPy arrays, and provides
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many user-friendly and efficient numerical routines such as routines
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for numerical integration and optimization. Together, they run on
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all popular operating systems, are quick to install, and are free of
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charge. NumPy and SciPy are easy to use, but powerful enough to be
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depended upon by some of the world's leading scientists and engineers.
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matplotlib and ipython are nice to have in connection with scipy, but
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scipy does not depend on them. Be aware that ipython gets installed just
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for python3.
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Since ver. 0.14.0 scipy uses SuperLU instead of UMFPACK for solving
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unsymmetric sparse linear systems. If you want to use UMFPACK you
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must install it in advance of numpy and build numpy accordingly (see
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the README to numpy's SlackBuild). Moreover, after installing scipy,
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you have to install scikit-umfpack.
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If you need to build scipy for debugging, set DEBUG=y.
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NOTE: Version 1.2.3 is the last one with python2 support. If you'd like
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to use a newer scipy version you have to switch to using python3
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and install scipy with the scipy3 SlackBuild.
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102
academic/python2-scipy/python2-scipy.SlackBuild
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academic/python2-scipy/python2-scipy.SlackBuild
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#!/bin/bash
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# Build script for the Python SciPy package
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# Copyright 2011-2022 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 Eugene Suter <easuter@gmail.com>
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# Updated to 0.7.2 by João Felipe Santos <joao.eel@gmail.com>
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# Updated to 1.2.2 by Matteo Bernardini <ponce@slackbuilds.org>
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# Updated up to 1.1.0 and to 1.2.3 by Serban Udrea <S.Udrea@gsi.de>
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# Added support for building with debugging symbols (S. Udrea)
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cd $(dirname $0) ; CWD=$(pwd)
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PRGNAM=python2-scipy
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SRCNAM=scipy
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VERSION=${VERSION:-1.2.3}
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BUILD=${BUILD:-1}
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TAG=${TAG:-_SBo}
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PKGTYPE=${PKGTYPE:-tgz}
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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=$( uname -m ) ;;
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esac
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fi
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# If the variable PRINT_PACKAGE_NAME is set, then this script will report what
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# the name of the created package would be, and then exit. This information
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# could be useful to other scripts.
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if [ ! -z "${PRINT_PACKAGE_NAME}" ]; then
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echo "$PRGNAM-$VERSION-$ARCH-$BUILD$TAG.$PKGTYPE"
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exit 0
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fi
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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 $SRCNAM-$VERSION
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tar xvf $CWD/$SRCNAM-$VERSION.tar.gz
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cd $SRCNAM-$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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\( -perm 666 -o -perm 664 -o -perm 600 -o -perm 444 -o -perm 440 -o -perm 400 \) \
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-exec chmod 644 {} \;
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export FFLAGS="-fallow-argument-mismatch -fPIC"
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DEBUG=${DEBUG:-no}
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DEBUG=$(echo "$DEBUG"|cut -b 1|tr a-z A-Z)
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if [ "$DEBUG" = "N" ]
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then
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python2 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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python2 setup.py build --debug
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python2 setup.py install --root $PKG
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fi
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mkdir -p $PKG/usr/doc/$PRGNAM-$VERSION
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cp -a LICENSE.txt THANKS.txt INSTALL.rst.txt HACKING.rst.txt PKG-INFO \
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$PKG/usr/doc/$PRGNAM-$VERSION
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cat $CWD/$PRGNAM.SlackBuild > $PKG/usr/doc/$PRGNAM-$VERSION/$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
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10
academic/python2-scipy/python2-scipy.info
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academic/python2-scipy/python2-scipy.info
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PRGNAM="python2-scipy"
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VERSION="1.2.3"
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HOMEPAGE="https://www.scipy.org/"
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DOWNLOAD="https://files.pythonhosted.org/packages/62/4f/7e95c5000c411164d5ca6f55ac54cda5d200a3b6719dafd215ee0bd61578/scipy-1.2.3.tar.gz"
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MD5SUM="43b42a507472dfa1dff4c91d58a6543f"
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DOWNLOAD_x86_64=""
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MD5SUM_x86_64=""
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REQUIRES="python2-numpy lapack"
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MAINTAINER="Serban Udrea"
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EMAIL="S.Udrea@gsi.de"
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19
academic/python2-scipy/slack-desc
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19
academic/python2-scipy/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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python2-scipy: python2-scipy (python library for math, science, and engineering)
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python2-scipy:
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python2-scipy: The SciPy library is built to work with NumPy arrays, and provides
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python2-scipy: many user-friendly and efficient numerical routines such as routines
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python2-scipy: for numerical integration and optimization. NumPy and SciPy are easy
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python2-scipy: to use, but powerful enough to be depended upon by some of the world's
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python2-scipy: leading scientists and engineers.
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python2-scipy: Version 1.2.3 is the last with support for python2.
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python2-scipy:
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python2-scipy: https://www.scipy.org/
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python2-scipy:
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