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

#MATLAB path
MATLAB_PATH="/usr/local/MATLAB/R2019b"

#ISSM CONFIGURATION
ISSM_CONFIG='\
	--prefix=$ISSM_DIR \
	--disable-static \
	--with-matlab-dir=$MATLAB_PATH \
	--with-python-dir=/usr \
	--with-python-numpy-dir=/usr/local/lib/python2.7/dist-packages/numpy \
	--with-fortran-lib="-L/usr/lib/gcc/x86_64-linux-gnu/8 -lgfortran" \
	--with-mpi-include=$ISSM_DIR/externalpackages/mpich/install/include \
	--with-mpi-libflags="-L${ISSM_DIR}/externalpackages/mpich/install/lib -lmpi -lmpicxx -lmpifort" \
	--with-blas-lapack-dir=$ISSM_DIR/externalpackages/lapack/install \
	--with-metis-dir=$ISSM_DIR/externalpackages/petsc/install \
	--with-scalapack-dir=$ISSM_DIR/externalpackages/petsc/install \
	--with-mumps-dir=$ISSM_DIR/externalpackages/petsc/install \
	--with-petsc-dir=$ISSM_DIR/externalpackages/petsc/install \
	--with-triangle-dir=$ISSM_DIR/externalpackages/triangle/install \
	--with-boost-dir=$ISSM_DIR/externalpackages/boost/install \
	--with-numthreads=4 \
	--enable-development \
	--enable-debugging \
'

# Test suites
MATLAB_TEST=1
PYTHON_TEST=1
JAVASCRIPT_TEST=0
EXAMPLES_TEST=0

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

# List of external packages to be installed and their installation scripts
#
# TODO:
# - After upgrading Jenkins nodes to Ubuntu 18, use MPICH 3.3 and PETSc 3.11
#	(which will install zlib, HDF5, and NetCDF).
#
EXTERNALPACKAGES="
	autotools	install-debian.sh
	cmake		install.sh
	mpich		install-3.3.sh
	lapack		install-3.8-linux.sh
	petsc		install-3.11-linux.sh
	triangle	install-linux64.sh
	chaco		install.sh
	m1qn3		install.sh
	semic		install.sh
	boost		install-1.55-linux.sh
	proj		install-6.2.sh
	gdal		install-3.0-netcdf.sh
	gshhg		install.sh
	gmt			install-6.0-linux.sh
	gmsh		install.sh
	shell2junit	install.sh
"

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

# Number of CPUs used in ISSM compilation
#
# NOTE: One is usually safer as some packages are very sensitive to parallel
#       compilation.
#
NUMCPUS_INSTALL=8

# Number of cpus used in the nightly runs
#
# NOTE: Possible problem of access to all_vertices.txt if more than 1.
#
NUMCPUS_RUN=1

# Nightly run options
#
# See documentation in test/NightlyRun/runme.* for more information.
#
MATLAB_NROPTIONS="'benchmark','slr'"
PYTHON_NROPTIONS="--benchmark=slr"