# 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 match all pairs of CSiBORG simulations. Mathches main haloes whose mass is above 1e12 solar masses. """ from argparse import ArgumentParser from datetime import datetime from distutils.util import strtobool from itertools import combinations from random import Random from mpi4py import MPI try: import csiborgtools except ModuleNotFoundError: import sys sys.path.append("../") import csiborgtools from taskmaster import master_process, worker_process from match_singlematch import pair_match # Argument parser parser = ArgumentParser() parser.add_argument("--sigma", type=float, default=None) parser.add_argument("--smoothen", type=lambda x: bool(strtobool(x)), default=None) parser.add_argument("--verbose", type=lambda x: bool(strtobool(x)), default=False) args = parser.parse_args() comm = MPI.COMM_WORLD rank = comm.Get_rank() nproc = comm.Get_size() def get_combs(): """ Get the list of all pairs of simulations, then permute them with a known seed to minimise loading the same files simultaneously. """ paths = csiborgtools.read.Paths(**csiborgtools.paths_glamdring) ics = paths.get_ics("csiborg") combs = list(combinations(ics, 2)) Random(42).shuffle(combs) return combs def do_work(comb): nsim0, nsimx = comb pair_match(nsim0, nsimx, args.sigma, args.smoothen, args.verbose) if nproc > 1: if rank == 0: combs = get_combs() master_process(combs, comm, verbose=True) else: worker_process(do_work, comm, verbose=False) else: combs = get_combs() for comb in combs: print(f"{datetime.now()}: completing task `{comb}`.", flush=True) do_work(comb)