mirror of
https://github.com/Richard-Sti/csiborgtools.git
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67 lines
2.2 KiB
Python
67 lines
2.2 KiB
Python
# Copyright (C) 2022 Richard Stiskalek
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# This program is free software; you can redistribute it and/or modify it
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# under the terms of the GNU General Public License as published by the
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# Free Software Foundation; either version 3 of the License, or (at your
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# option) any later version.
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#
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# This program is distributed in the hope that it will be useful, but
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# WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General
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# Public License for more details.
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#
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# You should have received a copy of the GNU General Public License along
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# with this program; if not, write to the Free Software Foundation, Inc.,
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# 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
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"""
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MPI script to run the CSiBORG realisations matcher.
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"""
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import numpy
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from datetime import datetime
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from mpi4py import MPI
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from os.path import join
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try:
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import csiborgtools
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except ModuleNotFoundError:
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import sys
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sys.path.append("../")
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import csiborgtools
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import utils
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# Get MPI things
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comm = MPI.COMM_WORLD
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rank = comm.Get_rank()
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nproc = comm.Get_size()
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# File paths
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fperm = join(utils.dumpdir, "overlap", "cross_{}.npy")
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# fperm = join(utils.dumpdir, "match", "cross_matches.npy")
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# Set up the catalogue
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paths = csiborgtools.read.CSiBORGPaths(to_new=False)
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print("{}: started reading in the combined catalogue.".format(datetime.now()),
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flush=True)
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cat = csiborgtools.read.CombinedHaloCatalogue(
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paths, min_m500=None, max_dist=None, verbose=False)
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print("{}: finished reading in the combined catalogue with `{}`."
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.format(datetime.now(), cat.n_sims), flush=True)
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matcher = csiborgtools.match.RealisationsMatcher(cat)
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for i in csiborgtools.fits.split_jobs(len(cat.n_sims), nproc)[rank]:
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n = cat.n_sims[i]
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print("{}: rank {} working on simulation `{}`."
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.format(datetime.now(), rank, n), flush=True)
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out = matcher.cross_knn_position_single(
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i, nmult=15, dlogmass=2, init_dist=True, overlap=False, verbose=False,
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overlapper_kwargs={"smooth_scale": 1})
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# Dump the result
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fout = fperm.format(n)
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print("Saving results to `{}`.".format(fout))
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with open(fout, "wb") as f:
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numpy.save(fout, out)
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comm.Barrier()
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if rank == 0:
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print("All finished.")
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