diff options
Diffstat (limited to 'academic/scipy')
| -rw-r--r-- | academic/scipy/README | 32 | ||||
| -rw-r--r-- | academic/scipy/scipy.SlackBuild | 10 |
2 files changed, 21 insertions, 21 deletions
diff --git a/academic/scipy/README b/academic/scipy/README index e03678305e..81198ddbe7 100644 --- a/academic/scipy/README +++ b/academic/scipy/README @@ -1,24 +1,26 @@ SciPy (pronounced "Sigh Pie") is open-source software for mathematics, science, and engineering. -The SciPy library is built to work with NumPy arrays, and provides many -user-friendly and efficient numerical routines such as routines for -numerical integration and optimization. Together, they run on all popular -operating systems, are quick to install, and are free of charge. NumPy -and SciPy are easy to use, but powerful enough to be depended upon by -some of the world's leading scientists and engineers. +The SciPy library is built to work with NumPy arrays, and provides +many user-friendly and efficient numerical routines such as routines +for numerical integration and optimization. Together, they run on +all popular operating systems, are quick to install, and are free of +charge. NumPy and SciPy are easy to use, but powerful enough to be +depended upon by some of the world's leading scientists and engineers. -matplotlib and ipython are nice to have in connection with scipy, but scipy -does not depend on them. +matplotlib and ipython are nice to have in connection with scipy, but +scipy does not depend on them. -Since ver. 0.14.0 scipy uses SuperLU instead of UMFPACK for solving unsymmetric -sparse linear systems. If you want to use UMFPACK you must install it in advance -of numpy and build numpy accordingly (see the README to numpy's SlackBuild). -Moreover, after installing scipy, you have to install scikit-umfpack, which -presently is not available on SlackBuilds.org. +Since ver. 0.14.0 scipy uses SuperLU instead of UMFPACK for solving +unsymmetric sparse linear systems. If you want to use UMFPACK you +must install it in advance of numpy and build numpy accordingly (see +the README to numpy's SlackBuild). Moreover, after installing scipy, +you have to install scikit-umfpack, which presently is not available on +SlackBuilds.org. If you need to build scipy for debugging, set DEBUG=y. NOTE: If you use this SlackBuild scipy will run with the python version - provided by Slackware Linux, which is presently 2.7.xx. If you'd like to - use python 3.x then you have to install scipy3. + provided by Slackware Linux, which is presently 2.7.xx. If you'd + like to use python 3.x then you have to install scipy with the + scipy3 SlackBuild. diff --git a/academic/scipy/scipy.SlackBuild b/academic/scipy/scipy.SlackBuild index d317dd0478..043194c101 100644 --- a/academic/scipy/scipy.SlackBuild +++ b/academic/scipy/scipy.SlackBuild @@ -30,7 +30,7 @@ PRGNAM=scipy VERSION=${VERSION:-1.1.0} -BUILD=${BUILD:-1} +BUILD=${BUILD:-2} TAG=${TAG:-_SBo} if [ -z "$ARCH" ]; then @@ -63,12 +63,10 @@ find -L . \ -exec chmod 644 {} \; DEBUG=${DEBUG:-no} -case "$DEBUG" in - [yY]|[yY][eE][sS]) DEBUG="y" ;; - *) DEBUG="" ;; -esac +DEBUG=$(echo "$DEBUG"|cut -b 1|tr a-z A-Z) -if [ ! "$DEBUG" ]; then +if [ "$DEBUG" = "N" ] +then python setup.py install --root $PKG find $PKG | xargs file | grep -e "executable" -e "shared object" | grep ELF \ | cut -f 1 -d : | xargs strip --strip-unneeded 2> /dev/null || true |