source: issm/trunk-jpl/jenkins/ub-ccr@ 28042

# NOTE: This configuration adds solid earth and Dakota capabilities to the 
#               basic build.

#--------------------#
# ISSM Configuration #
#--------------------#

ISSM_CONFIG='\
        --prefix="${ISSM_DIR}" \
        --disable-static \
        --with-numthreads=1 \
        --with-python-version=3.10 \
        --with-python-dir=/cvmfs/soft.ccr.buffalo.edu/versions/2023.01/compat/usr \
        --with-python-numpy-dir=/cvmfs/soft.ccr.buffalo.edu/versions/2023.01/compat/usr/lib/python3.10/site-packages/numpy \
        --with-fortran-lib="-L${EBROOTGCC}/lib64 -lgfortran" \
        --with-mpi-include="${ISSM_EXT_DIR}/petsc/install/include" \
        --with-mpi-libflags="-L${ISSM_EXT_DIR}/petsc/install/lib -lmpi -lmpicxx -lmpifort" \
        --with-blas-lapack-dir="${ISSM_EXT_DIR}/petsc/install" \
        --with-metis-dir="${ISSM_EXT_DIR}/petsc/install" \
        --with-parmetis-dir="${ISSM_EXT_DIR}/petsc/install" \
        --with-scalapack-dir="${ISSM_EXT_DIR}/petsc/install" \
        --with-mumps-dir="${ISSM_EXT_DIR}/petsc/install" \
        --with-petsc-dir="${ISSM_EXT_DIR}/petsc/install" \
        --with-gsl-dir="${ISSM_EXT_DIR}/gsl/install" \
        --with-boost-dir="${ISSM_EXT_DIR}/boost/install" \
        --with-dakota-dir="${ISSM_EXT_DIR}/dakota/install" \
        --with-chaco-dir="${ISSM_EXT_DIR}/chaco/install" \
        --with-m1qn3-dir="${ISSM_EXT_DIR}/m1qn3/install" \
'

#-------------------#
# External Packages #
#-------------------#

EXTERNALPACKAGES="
        autotools       install-linux.sh
        cmake           install.sh
        petsc           install-3.14-linux.sh
        gsl                     install.sh
        boost           install-1.7-linux.sh
        dakota          install-6.2-linux.sh
        chaco           install-linux.sh
        m1qn3           install.sh
"

#---------#
# Testing #
#---------#

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

# 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
NUMCPUS_RUN=1

# Nightly run options
MATLAB_NROPTIONS=""
PYTHON_NROPTIONS="--exclude 234 418 420"