# arch.env and arch.path should be sourced before sourcing this script
module load python/2.7-anaconda

# If not done yet, certain python packages must be installed in a dynamico-only conda environment of yours :
#   conda create -n dynamico python
#   source activate dynamico
#   pip install scipy mpi4py jinja2 matplotlib cython cmake

# netCDF4 must be installed manually in order to use the netCDF library from the modules (requires Cython, see above)
# for unpack Python/extern/netCDF4-1.2.9.tar.gz then
#   LDFLAGS='-lirc' python setup.py install
# NOTE : libirc.so is the intel runtime library and is needed at runtime.
# NOTE : setup.py installs a *.egg file which contains the netCDF4 and netcdftime module. Deactivate then activate again your conda environment if you want to test that they are working.

# CICLAD does not have a parmetis module
# compiling parmetis uses cmake, installed above using pip because the system-wide cmake might not work with the modules
# for this unpack Python/extern/parmetis-4.0.3.tar.gz then
#   make config shared=1 prefix=$HOME/.conda/envs/dynamico
#   make install
# manually install libmetis.so and metis.h ...
#   cp $(find . -name 'libmetis.so') $HOME/.conda/envs/dynamico/lib/
#   cp $(find . -name 'metis.h') $HOME/.conda/envs/dynamico/include/
# NOTE : the tar.gz is derived from http://glaros.dtc.umn.edu/gkhome/fetch/sw/parmetis/parmetis-4.0.3.tar.gz 
#        with modifications along the lines of
#        https://stackoverflow.com/questions/35058709/building-shared-parmetis-4-0-3

source activate dynamico
PARMETIS_CFLAGS="-I$HOME/.conda/envs/dynamico/include"
PARMETIS_LDFLAGS="-L$HOME/.conda/envs/dynamico/lib -lparmetis"

export NETCDF_LDFLAGS="$(nf-config --flibs)"

KERNELS_LDFLAGS="$NETCDF_LIBDIR $NETCDF_LIB -liomp5 $MKL_LIBDIR $MKL_LIB $PARMETIS_LDFLAGS"
# check that packages work
for x in netCDF4 mpi4py numpy jinja2 ; do python -c "import $x" ; done
python -c "import ctypes ; parmetis=ctypes.cdll.LoadLibrary('libparmetis.so')"

export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:$HOME/.conda/envs/dynamico/lib

. linux.dev