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|
#!/bin/bash
#
# numpy.SlackBuild is free software; you can redistribute
# it and/or modify it under the terms of the GNU General Public License as
# published by the Free Software Foundation; either version 2 of the License,
# or any later version.
#
# numpy.SlackBuild is distributed in the hope that it will
# be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General
# Public License for more details.
#
# You should have received a copy of the GNU General Public License along with
# this program; if not, write to the Free Software Foundation, Inc., 59 Temple
# Place - Suite 330, Boston, MA 02111-1307, USA
#
# slackbuild for numpy, by Silvio Rhatto
# requires: python
# tested: numpy-1.0.4
#
# Look for slackbuildrc
if [ -f ~/.slackbuildrc ]; then
source ~/.slackbuildrc
elif [ -f /etc/slackbuildrc ]; then
source /etc/slackbuildrc
fi
# Set variables
CWD="$(pwd)"
SRC_NAME="numpy"
PKG_NAME="numpy"
ARCH=${ARCH:=i486}
SRC_VERSION=${VERSION:=1.0.4}
PKG_VERSION="$(echo "$SRC_VERSION" | tr '[[:blank:]-]' '_')"
BUILD=${BUILD:=1rha}
SRC_DIR=${SRC_DIR:=$CWD}/$PKG_NAME
TMP=${TMP:=/tmp}
PKG=${PKG:=$TMP/package-$PKG_NAME}
REPOS=${REPOS:=$TMP}
PREFIX=${PREFIX:=/usr}
PKG_WORK="$TMP/$SRC_NAME"
CONF_OPTIONS=${CONF_OPTIONS:=""}
NUMJOBS=${NUMJOBS:=""}
# Set system libraries' path and optmization flags based on $ARCH
LIBDIR="$PREFIX/lib"
if [ "$ARCH" = "i386" ]; then
SLKCFLAGS="-O2 -march=i386 -mcpu=i686"
elif [ "$ARCH" = "i486" ]; then
SLKCFLAGS="-O2 -march=i486 -mcpu=i686"
elif [ "$ARCH" = "i686" ]; then
SLKCFLAGS="-O2 -march=i686"
elif [ "$ARCH" = "s390" ]; then
SLKCFLAGS="-O2"
elif [ "$ARCH" = "x86_64" ]; then
SLKCFLAGS="-O2"
LIBDIR="$PREFIX/lib64"
fi
# Set error codes (used by createpkg)
ERROR_WGET=31; ERROR_MAKE=32; ERROR_INSTALL=33
ERROR_MD5=34; ERROR_CONF=35; ERROR_HELP=36
ERROR_TAR=37; ERROR_MKPKG=38; ERROR_GPG=39
ERROR_PATCH=40; ERROR_VCS=41; ERROR_MKDIR=42
# Clean up any leftovers of previous builds
rm -rf "$PKG_WORK" 2> /dev/null
rm -rf "$PKG" 2> /dev/null
# Create directories if necessary
mkdir -p "$SRC_DIR" || exit $ERROR_MKDIR
mkdir -p "$PKG" || exit $ERROR_MKDIR
mkdir -p "$REPOS" || exit $ERROR_MKDIR
mkdir -p "$PKG_WORK" || exit $ERROR_MKDIR
# Dowload source if necessary
SRC="$SRC_NAME-$VERSION.tar.gz"
URL="http://downloads.sourceforge.net/numpy/$SRC"
if [ ! -s "$SRC_DIR/$SRC" ] || ! gunzip -t "$SRC_DIR/$SRC" 2> /dev/null; then
wget "$URL" -O "$SRC_DIR/$SRC" || exit $ERROR_WGET
fi
# Untar
cd "$PKG_WORK"
tar --no-same-owner --no-same-permissions -xvf "$SRC_DIR/$SRC" || exit $ERROR_TAR
PKG_SRC=`ls -l | awk '/^d/ { print $8 }'`
cd "$PKG_SRC"
# Build and install package
python setup.py build install --root=$PKG
# Strip binaries
( cd "$PKG"
find . | xargs file | grep "executable" | grep ELF | cut -f 1 -d : | \
xargs strip --strip-unneeded 2> /dev/null
find . | xargs file | grep "shared object" | grep ELF | cut -f 1 -d : | \
xargs strip --strip-unneeded 2> /dev/null
)
# Install documentation
DOCS="COMPATIBILITY DEV_README.txt LICENSE.txt MANIFEST.in PKG-INFO README.txt THANKS.txt"
mkdir -p "$PKG/usr/doc/$PKG_NAME-$PKG_VERSION" || exit $ERROR_MKDIR
for doc in $DOCS; do
if [ -f "$doc" ]; then
cp -a $doc "$PKG/usr/doc/$PKG_NAME-$PKG_VERSION"
fi
done
# Add package description (slack-desc)
mkdir -p "$PKG/install" || exit $ERROR_MKDIR
cat << EODESC > "$PKG/install/slack-desc"
# HOW TO EDIT THIS FILE:
# The "handy ruler" below makes it easier to edit a package description. Line
# up the first '|' above the ':' following the base package name, and the '|'
# on the right side marks the last column you can put a character in. You must
# make exactly 11 lines for the formatting to be correct. It's also
# customary to leave one space after the ':'.
|-----handy-ruler--------------------------------------------------------|
numpy: NumPy: array processing for numbers, strings, records, and objects.
numpy:
numpy: NumPy is a general-purpose array-processing package designed to efficiently
numpy: manipulate large multi-dimensional arrays of arbitrary records without
numpy: sacrificing too much speed for small multi-dimensional arrays. NumPy is
numpy: built on the Numeric code base and adds features introduced by numarray as
numpy: well as an extended C-API and the ability to create arrays of arbitrary
numpy: type which also makes NumPy suitable for interfacing with general-purpose
numpy: data-base applications.
numpy:
numpy:
EODESC
# Build the package
cd "$PKG"
makepkg -l y -c n "$REPOS/$PKG_NAME-$PKG_VERSION-$ARCH-$BUILD.tgz" || exit $ERROR_MKPKG
# Delete source and build directories if requested
if [ "$CLEANUP" == "yes" ]; then
rm -rf "$PKG_WORK" "$PKG"
fi
|
