mirror of
https://github.com/Richard-Sti/csiborgtools.git
synced 2024-12-22 18:48:01 +00:00
c14be720b5
* Add paths * Add dumping script * Remove snap from density fields * Add progress statement * Update import ordering * Update nb
75 lines
2.5 KiB
Python
75 lines
2.5 KiB
Python
# 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 load in the simulation particles and dump them to a HDF5 file for the
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SPH density field calculation.
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"""
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from datetime import datetime
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from gc import collect
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import h5py
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import numpy
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from mpi4py import MPI
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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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from argparse import ArgumentParser
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# We set up the MPI
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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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# And next parse all the arguments and set up CSiBORG objects
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parser = ArgumentParser()
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parser.add_argument("--ics", type=int, nargs="+", default=None,
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help="IC realisatiosn. If `-1` processes all simulations.")
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args = parser.parse_args()
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paths = csiborgtools.read.CSiBORGPaths(**csiborgtools.paths_glamdring)
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partreader = csiborgtools.read.ParticleReader(paths)
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pars_extract = ['x', 'y', 'z', 'vx', 'vy', 'vz', 'M']
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if args.ics is None or args.ics == -1:
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ics = paths.get_ics(tonew=False)
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else:
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ics = args.ics
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# We MPI loop over individual simulations.
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jobs = csiborgtools.fits.split_jobs(len(ics), nproc)[rank]
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for i in jobs:
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nsim = ics[i]
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nsnap = max(paths.get_snapshots(nsim))
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print(f"{datetime.now()}: Rank {rank} completing simulation {nsim}.",
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flush=True)
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# We read in the particles from RASMSES files, switch from a
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# structured array to 2-dimensional array and dump it.
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parts = partreader.read_particle(nsnap, nsim, pars_extract,
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verbose=nproc == 1)
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out = numpy.full((parts.size, len(pars_extract)), numpy.nan,
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dtype=numpy.float32)
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for j, par in enumerate(pars_extract):
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out[:, j] = parts[par]
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with h5py.File(paths.particle_h5py_path(nsim), "w") as f:
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dset = f.create_dataset("particles", data=out)
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del parts, out
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collect()
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