module purge
module load intel/15.0.6.233
module load openmpi/1.6.5-ifort
module load hdf5/1.8.18-parallel-ifort
module load netcdf4/4.4.1.1-parallel-ifort
module load python/2.7-anaconda

# If not done yet, certain python packages must be installed in a dynamico-only conda environment :
#   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 this download and unpack 
#   https://pypi.python.org/packages/6a/37/49fd7cc21af0fb173e40de5e15f7fdd48d521429922a90347219c77b0c36/netCDF4-1.2.9.tar.gz#md5=e320491d52c42e937e6df47b56a2579c
# then
#   python setup.py build
#   python setup.py install

# 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
# then download parmetis from 
#   http://glaros.dtc.umn.edu/gkhome/fetch/sw/parmetis/parmetis-4.0.3.tar.gz
# unpack, follow workaround given in 
#   https://stackoverflow.com/questions/35058709/building-shared-parmetis-4-0-3
# 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/

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

export NETCDF_LDFLAGS="$(nf-config --flibs) -lhdf5 -lz -ldl -lm"

# 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

BASEDIR=$(dirname ${BASH_SOURCE[0]})
. $BASEDIR/linux.env