source: issm/branches/trunk-larour-SLPS2020/jenkins/linux64_caladan_ad@ 25329

#
#-------------------------------#
# 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-Gia \
        --with-gsl-dir=$ISSM_DIR/externalpackages/gsl/install \
        --with-adolc-dir=$ISSM_DIR/externalpackages/adolc/install \
        --with-matlab-dir=$MATLAB_PATH \
        --with-triangle-dir=$ISSM_DIR/externalpackages/triangle/install
'

#PYTHON and MATLAB testing
MATLAB_TEST=1
PYTHON_TEST=0

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

#List of external pakages to be installed and their installation scripts
EXTERNALPACKAGES="
        autotools       install.sh
        cmake           install.sh
        mpich           install-3.2-linux64.sh
        petsc           install-3.7-linux64.sh
        gsl                     install.sh
        triangle        install-linux.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=2

#number of cpus used in the nightly runs.
NUMCPUS_RUN=1

#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=""