# This program is free software; you can redistribute it and/or modify it # under the terms of the GNU General Public License as published by the # Free Software Foundation; either version 3 of the License, or (at your # option) any later version. # # This program is distributed in the hope that it will be useful, but # WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General # Public License for more details. # # You should have received a copy of the GNU General Public License along # with this program; if not, write to the Free Software Foundation, Inc., # 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA. """ Script to load in the simulation particles and dump them to a HDF5 file for the SPH density field calculation. """ from datetime import datetime from gc import collect from distutils.util import strtobool import h5py from mpi4py import MPI try: import csiborgtools except ModuleNotFoundError: import sys sys.path.append("../") import csiborgtools from argparse import ArgumentParser # We set up the MPI comm = MPI.COMM_WORLD rank = comm.Get_rank() nproc = comm.Get_size() # And next parse all the arguments and set up CSiBORG objects parser = ArgumentParser() parser.add_argument("--ics", type=int, nargs="+", default=None, help="IC realisatiosn. If `-1` processes all simulations.") parser.add_argument("--with_vel", type=lambda x: bool(strtobool(x)), help="Whether to include velocities in the particle file.") args = parser.parse_args() paths = csiborgtools.read.CSiBORGPaths(**csiborgtools.paths_glamdring) partreader = csiborgtools.read.ParticleReader(paths) if args.with_vel: pars_extract = ['x', 'y', 'z', 'vx', 'vy', 'vz', 'M'] else: pars_extract = ['x', 'y', 'z', 'M'] if args.ics is None or args.ics == -1: ics = paths.get_ics(tonew=False) else: ics = args.ics # MPI loop over individual simulations. We read in the particles from RAMSES # files and dump them to a HDF5 file. jobs = csiborgtools.fits.split_jobs(len(ics), nproc)[rank] for i in jobs: nsim = ics[i] nsnap = max(paths.get_snapshots(nsim)) print(f"{datetime.now()}: Rank {rank} completing simulation {nsim}.", flush=True) out = partreader.read_particle( nsnap, nsim, pars_extract, return_structured=False, verbose=nproc == 1) with h5py.File(paths.particle_h5py_path(nsim), "w") as f: dset = f.create_dataset("particles", data=out) del out collect()