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https://github.com/Ponce/slackbuilds
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development/numpy3: Updated for version 1.11.1
Signed-off-by: Christoph Willing <chris.willing@iinet.net.au>
This commit is contained in:
parent
70857804a6
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5 changed files with 75 additions and 30 deletions
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@ -9,13 +9,26 @@ 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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There are also basic facilities for discrete fourier transform, basic
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linear algebra and random number generation.
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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 software
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If you need to build numpy for debugging, set DEBUG=y. If you use software
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depending on numpy is having problems with the new relaxed strides
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which is having problems with numpy's new relaxed strides checking, set
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checking, set NPY_RSC=0.
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NPY_RSC=0.
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It is highly recommended to install optimized BLAS and LAPACK libs
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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 ATLAS+LAPACK and
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before installing numpy. You may choose between:
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OpenBLAS.
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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 version
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provided by Slackware Linux, which is presently 2.7.xx. If you'd like to
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use python 3.x then you have to install numpy with the numpy3 SlackBuild.
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IMPORTANT: The version installed by this SlackBuild does NOT include the
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IMPORTANT: The version installed by this SlackBuild does NOT include the
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oldnumeric and numarray compatibility modules since starting with
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oldnumeric and numarray compatibility modules since starting with
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10
development/numpy3/README.ATLAS
Normal file
10
development/numpy3/README.ATLAS
Normal file
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@ -0,0 +1,10 @@
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numpy is able to autodetect the ATLAS libraries, but by default will try
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to use the shared, threaded ones. It would use something else just if these
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are missing. You may force numpy to have another behaviour.
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a) Set just ATLAS_NO_THREADS to "yes". In this case numpy will be forced to
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look for the shared, single threaded libs.
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b) Set just ATLAS_SHARED to "no". In this case numpy will be forced to look for
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the static, threaded ATLAS libraries.
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c) Set ATLAS_SHARED to "no" and ATLAS_NO_THREADS to "yes". In this case numpy
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will be forced to look for the static, single threaded ATLAS libraries.
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@ -2,7 +2,7 @@
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# Slackware build script for numpy3
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# Slackware build script for numpy3
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# Copyright 2015 Christoph Willing Brisbane, Australia
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# Copyright 2015-2016 Christoph Willing Brisbane, Australia
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# All rights reserved.
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# All rights reserved.
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#
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#
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# Redistribution and use of this script, with or without modification, is
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# Redistribution and use of this script, with or without modification, is
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@ -27,22 +27,22 @@
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PRGNAM=numpy3
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PRGNAM=numpy3
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SRCNAM=numpy
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SRCNAM=numpy
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VERSION=${VERSION:-1.9.1}
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VERSION=${VERSION:-1.11.1}
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BUILD=${BUILD:-1}
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BUILD=${BUILD:-1}
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TAG=${TAG:-_SBo}
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TAG=${TAG:-_SBo}
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PYTHON_VERSIONS="3" ;# NOTE! Could easily be PYTHON_VERSIONS="2 3"
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PYTHON_VERSIONS="3"
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if [ -z "$ARCH" ]; then
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if [ -z "$ARCH" ]; then
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case "$( uname -m )" in
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case "$( uname -m )" in
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i?86) ARCH=i486 ;;
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i?86) ARCH=i586 ;;
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arm*) ARCH=arm ;;
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arm*) ARCH=arm ;;
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*) ARCH=$( uname -m ) ;;
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*) ARCH=$( uname -m ) ;;
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esac
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esac
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fi
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fi
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if [ "$ARCH" = "i486" ]; then
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if [ "$ARCH" = "i586" ]; then
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SLKCFLAGS="-O2 -march=i486 -mtune=i686"
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SLKCFLAGS="-O2 -march=i586 -mtune=i686"
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LIBDIRSUFFIX=""
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LIBDIRSUFFIX=""
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elif [ "$ARCH" = "i686" ]; then
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elif [ "$ARCH" = "i686" ]; then
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SLKCFLAGS="-O2 -march=i686 -mtune=i686"
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SLKCFLAGS="-O2 -march=i686 -mtune=i686"
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@ -66,7 +66,7 @@ rm -rf $PKG
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mkdir -p $TMP $PKG $OUTPUT
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mkdir -p $TMP $PKG $OUTPUT
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cd $TMP
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cd $TMP
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rm -rf $SRCNAM-$VERSION
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rm -rf $SRCNAM-$VERSION
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tar xvf $CWD/$SRCNAM-$VERSION.tar.gz
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tar xf $CWD/$SRCNAM-$VERSION.tar.gz
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cd $SRCNAM-$VERSION
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cd $SRCNAM-$VERSION
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chown -R root:root .
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chown -R root:root .
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find -L . \
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find -L . \
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@ -75,21 +75,43 @@ find -L . \
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\( -perm 666 -o -perm 664 -o -perm 640 -o -perm 600 -o -perm 444 \
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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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-o -perm 440 -o -perm 400 \) -exec chmod 644 {} \;
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cat > site.cfg <<EOF
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# You may want to force numpy to link against a special kind of ATLAS
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[amd]
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#
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library_dirs = /usr/lib${LIBDIRSUFFIX}
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ATLAS_SHARED="${ATLAS_SHARED:-yes}"
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include_dirs = /usr/include/amd
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ATLAS_SHARED=$(echo "$ATLAS_SHARED"|cut -b 1|tr a-z A-Z)
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amd_libs = amd
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ATLAS_NO_THREADS="${ATLAS_NO_THREADS:-no}"
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ATLAS_NO_THREADS=$(echo "$ATLAS_NO_THREADS"|cut -b 1|tr a-z A-Z)
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[umfpack]
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if [ "$ATLAS_SHARED" = "Y" ]; then
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library_dirs = /usr/lib${LIBDIRSUFFIX}
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if [ "$ATLAS_NO_THREADS" = "Y" ]; then
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include_dirs = /usr/include/umfpack
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echo -e "[atlas]\natlas_libs = satlas" >> site.cfg
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umfpack_libs = umfpack
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echo -e "lapack_libs = satlas\nlapack_atlas = satlas\n" >> site.cfg
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EOF
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fi
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else
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if [ "$ATLAS_NO_THREADS" = "Y" ]; then
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echo -e "[atlas]\natlas_libs = f77blas,cblas,atlas" >> site.cfg
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echo -e "lapack_libs = lapack\nlapack_atlas = lapack\n" >> site.cfg
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else
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echo -e "[atlas]\natlas_libs = ptf77blas,ptcblas,atlas" >> site.cfg
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echo -e "lapack_libs = ptlapack\nlapack_atlas = ptlapack\n" >> site.cfg
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fi
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fi
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NO_UMFPACK=${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=${DEBUG:-no}
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DEBUG=${DEBUG:-no}
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case "$DEBUG" in
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case "$DEBUG" in
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[yY]|[yY][eE][sS]) DEBUG="y" ;;
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[yY]|[yY][eE][sS]) DEBUG="y" ;;
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*) DEBUG="" ;;
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*) DEBUG="" ;;
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@ -110,7 +132,7 @@ for v in $PYTHON_VERSIONS ; do
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done
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done
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mkdir -p $PKG/usr/doc/$PRGNAM-$VERSION
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mkdir -p $PKG/usr/doc/$PRGNAM-$VERSION
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cp -a COMPATIBILITY DEV_README.txt LICENSE.txt README.txt THANKS.txt \
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cp -a CONTRIBUTING.md INSTALL.rst.txt LICENSE.txt README.md THANKS.txt \
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$PKG/usr/doc/$PRGNAM-$VERSION
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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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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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find $PKG/usr/doc -type f -exec chmod 0644 {} \;
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@ -1,10 +1,10 @@
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PRGNAM="numpy3"
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PRGNAM="numpy3"
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VERSION="1.9.1"
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VERSION="1.11.1"
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HOMEPAGE="http://numpy.scipy.org/"
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HOMEPAGE="http://numpy.scipy.org/"
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DOWNLOAD="http://download.sourceforge.net/project/numpy/NumPy/1.9.1/numpy-1.9.1.tar.gz"
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DOWNLOAD="https://github.com/numpy/numpy/archive/v1.11.1/numpy-1.11.1.tar.gz"
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MD5SUM="78842b73560ec378142665e712ae4ad9"
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MD5SUM="3c3700a30fae5ae2e41c947076417d4c"
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DOWNLOAD_x86_64=""
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DOWNLOAD_x86_64=""
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MD5SUM_x86_64=""
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MD5SUM_x86_64=""
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REQUIRES="python3"
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REQUIRES="python3"
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MAINTAINER="Christoph Willing"
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MAINTAINER="Christoph Willing"
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EMAIL="chris.willing@iinet.net.au"
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EMAIL="chris.willing@linux.com"
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@ -6,7 +6,7 @@
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# customary to leave one space after the ':' except on otherwise blank lines.
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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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|-----handy-ruler------------------------------------------------------|
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numpy3: NumPy (Python extension for scientific computing)
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numpy3: NumPy (Python3 extension for scientific computing)
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numpy3:
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numpy3:
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numpy3: NumPy is an extension to the Python programming language, adding
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numpy3: NumPy is an extension to the Python programming language, adding
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numpy3: support for large, multi-dimensional arrays and matrices along
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numpy3: support for large, multi-dimensional arrays and matrices along
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