mirror of
https://github.com/Richard-Sti/csiborgtools.git
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64 lines
2.2 KiB
Python
64 lines
2.2 KiB
Python
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# 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 generate the mmain files, i.e. sums up the substructe of children.
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"""
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from datetime import datetime
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import numpy
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from mpi4py import MPI
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from TaskmasterMPI import master_process, worker_process
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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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# 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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paths = csiborgtools.read.CSiBORGPaths(**csiborgtools.paths_glamdring)
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mmain_reader = csiborgtools.read.MmainReader(paths)
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def do_mmain(nsim):
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nsnap = max(paths.get_snapshots(nsim))
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# NOTE: currently works for highest snapshot anyway
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mmain, ultimate_parent = mmain_reader.make_mmain(nsim, verbose=False)
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numpy.savez(paths.mmain_path(nsnap, nsim),
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mmain=mmain, ultimate_parent=ultimate_parent)
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###############################################################################
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# MPI task delegation #
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###############################################################################
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if nproc > 1:
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if rank == 0:
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tasks = list(paths.get_ics(tonew=False))
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master_process(tasks, comm, verbose=True)
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else:
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worker_process(do_mmain, comm, verbose=False)
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else:
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tasks = paths.get_ics(tonew=False)
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for task in tasks:
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print("{}: completing task `{}`.".format(datetime.now(), task))
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do_mmain(task)
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comm.Barrier()
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