mirror of
https://github.com/Richard-Sti/csiborgtools.git
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62 lines
2.6 KiB
Python
62 lines
2.6 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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Script to split particles into smaller files according to their clump
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membership for faster manipulation. Currently does this for the maximum
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snapshot of each simulation. Running this will require a lot of memory.
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"""
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from os.path import join
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from mpi4py import MPI
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from datetime import datetime
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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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Nsims = csiborgtools.io.get_csiborg_ids("/mnt/extraspace/hdesmond")
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partcols = ["x", "y", "z", "vx", "vy", "vz", "M", "level"]
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dumpdir = join(utils.dumpdir, "temp")
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jobs = csiborgtools.fits.split_jobs(len(Nsims), nproc)[rank]
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for icount, sim_index in enumerate(jobs):
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print("{}: rank {} working {} / {} jobs.".format(datetime.now(), rank,
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icount + 1, len(jobs)))
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Nsim = Nsims[sim_index]
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simpath = csiborgtools.io.get_sim_path(Nsim)
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Nsnap = csiborgtools.io.get_maximum_snapshot(simpath)
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# Load the clumps, particles' clump IDs and particles.
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clumps = csiborgtools.io.read_clumps(Nsnap, simpath)
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particle_clumps = csiborgtools.io.read_clumpid(Nsnap, simpath,
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verbose=False)
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particles = csiborgtools.io.read_particle(partcols, Nsnap, simpath,
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verbose=False)
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# Drop all particles whose clump index is 0 (not assigned to any halo)
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particle_clumps, particles = csiborgtools.io.drop_zero_indx(
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particle_clumps, particles)
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# Dump it!
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csiborgtools.fits.dump_split_particles(particles, particle_clumps, clumps,
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utils.Nsplits, dumpdir, Nsim, Nsnap,
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verbose=False)
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print("All finished!")
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