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academic/copasi: Updated for version 4.38.268.
Signed-off-by: Willy Sudiarto Raharjo <willysr@slackbuilds.org>
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commit
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4 changed files with 11 additions and 11 deletions
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@ -25,7 +25,7 @@
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cd $(dirname $0) ; CWD=$(pwd)
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PRGNAM=copasi
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VERSION=${VERSION:-4.28.226}
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VERSION=${VERSION:-4.38.268}
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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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@ -68,7 +68,7 @@ rm -rf $PKG
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mkdir -p $TMP $PKG $OUTPUT
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cd $TMP
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rm -rf COPASI-$VERSION-$BINNAME $PRGNAM-$VERSION
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tar xvf $CWD/COPASI-$VERSION-$BINNAME.tar.gz
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sh $CWD/COPASI-$VERSION-$BINNAME.sh -e .
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mv COPASI-$VERSION-$BINNAME $PRGNAM-$VERSION
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cd $PRGNAM-$VERSION
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chown -R root:root .
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@ -1,5 +1,5 @@
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[Desktop Entry]
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Exec=sh -c "COPASIDIR=/usr /usr/bin/CopasiUI"
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Exec=/usr/bin/CopasiUI %u
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Icon=/usr/share/pixmaps/copasi.xpm
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Type=Application
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Name=COPASI
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@ -1,10 +1,10 @@
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PRGNAM="copasi"
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VERSION="4.28.226"
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HOMEPAGE="http://copasi.org"
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DOWNLOAD="https://github.com/copasi/COPASI/releases/download/Build-226/COPASI-4.28.226-Linux-32bit.tar.gz"
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MD5SUM="3fd18c60296def1158295b4b39a41085"
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DOWNLOAD_x86_64="https://github.com/copasi/COPASI/releases/download/Build-226/COPASI-4.28.226-Linux-64bit.tar.gz"
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MD5SUM_x86_64="9709892e02b9ec7e9ccb0d9ec7e8b08b"
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VERSION="4.38.268"
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HOMEPAGE="https://copasi.org"
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DOWNLOAD="https://github.com/copasi/COPASI/releases/download/Build-268/COPASI-4.38.268-Linux-32bit.sh"
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MD5SUM="7d60ce40a1be7b17a8264ab579450a20"
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DOWNLOAD_x86_64="https://github.com/copasi/COPASI/releases/download/Build-268/COPASI-4.38.268-Linux-64bit.sh"
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MD5SUM_x86_64="d364f79f08e25739d8e60a25209d2e08"
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REQUIRES=""
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MAINTAINER="Pedro Mendes"
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EMAIL="pedro@gepasi.org"
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@ -9,11 +9,11 @@
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copasi: copasi (tool for modeling and simulation of biochemical networks)
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copasi:
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copasi: COPASI is a stand-alone program that simulates models of biochemical
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copasi: networks using ODE solvers or Gillespie's stochastic simulation
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copasi: networks using ODE/SDE solvers or Gillespie's stochastic simulation
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copasi: algorithm. COPASI is compatible with models in SBML format. It also
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copasi: performs several analyses: stability, parameter sensitivity,
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copasi: elementary modes, Lyapunov exponents, optimization, and parameter
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copasi: estimation. Data can be visualized in plots, histograms and animations
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copasi: of network diagrams. Both GUI and a command line version are included.
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copasi:
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copasi: Homepage: http://www.copasi.org/
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copasi: Homepage: https://copasi.org/
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