source: issm/trunk-jpl/jenkins/linux64_ross_ad@ 21571

#
#-------------------------------#
# 1: ISSM general configuration #
#-------------------------------#

#MATLAB path
MATLAB_PATH="/usr/local/MATLAB/R2015a"

#ISSM CONFIGURATION 
ISSM_CONFIG='--prefix=$ISSM_DIR\
                                --disable-static \
                                --prefix=$ISSM_DIR \
                                --without-kriging \
                                --without-kml \
                                --without-GiaIvins \
                                --with-gsl-dir=$ISSM_DIR/externalpackages/gsl/install \
                                --with-adolc-dir=$ISSM_DIR/externalpackages/adolc/install \
                                --with-matlab-dir=$MATLAB_PATH \
                                --with-python-dir=/usr\
                                --with-python-numpy-dir=/usr/lib/python2.7/dist-packages/numpy\
                                --with-triangle-dir=$ISSM_DIR/externalpackages/triangle/install \
                                --enable-development \
                                --enable-debugging '

#PYTHON and MATLAB testing
MATLAB_TEST=1
PYTHON_TEST=1

#-----------------------------------#
# 3: External packages installation #
#-----------------------------------#

#List of external pakages to be installed and their installation scripts
EXTERNALPACKAGES="autotools install.sh                
                                         mpich install-3.0-linux64.sh
                                         petsc install-3.7-linux64.sh
                                         metis install-5.0.1-linux64.sh
                                         triangle install-linux64.sh 
                                         gsl install-linux64.sh 
                                         adolc install.sh
                                         shell2junit install.sh"

#-----------------#
# 4: test options #
#-----------------#

#number of cpus used in ISSM installation and compilation (one is usually
#safer as some packages are very sensitive to parallel compilation)
NUMCPUS_INSTALL=5

#number of cpus used in the nightly runs.
NUMCPUS_RUN=4

#Nightly run options. The matlab routine runme.m will be called
#as follows: runme($MATLAB_NROPTIONS). The options must be understandable
#by Matlab and runme.m
#ex: "'id',[101 102 103]"
MATLAB_NROPTIONS="'benchmark','adolc','id',[3001:3019]"
PYTHON_NROPTIONS="--benchmark=adolc -i 3001 3002 3003 3004 3005 3006 3007 3008 3009 3010 3011 3012 3013 3014 3015 3016 3017 3018 3019"