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https://github.com/Richard-Sti/csiborgtools.git
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Particle dumping (#49)
* Add paths * Add dumping script * Remove snap from density fields * Add progress statement * Update import ordering * Update nb
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3 changed files with 175 additions and 3 deletions
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@ -326,6 +326,49 @@ class CSiBORGPaths:
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fname = f"radpos_{str(nsim).zfill(5)}_{str(nsnap).zfill(5)}.npz"
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return join(fdir, fname)
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def particle_h5py_path(self, nsim):
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"""
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Path to the files containing all particles in a `.hdf5` file. Used for
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the SPH calculation.
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Parameters
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----------
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nsim : int
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IC realisation index.
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Returns
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-------
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path : str
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"""
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fdir = join(self.postdir, "environment")
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if not isdir(fdir):
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makedirs(fdir)
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warn(f"Created directory `{fdir}`.", UserWarning, stacklevel=1)
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fname = f"particles_{str(nsim).zfill(5)}.h5"
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return join(fdir, fname)
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def density_field_path(self, mas, nsim):
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"""
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Path to the files containing the calculated density fields.
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Parameters
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----------
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mas : str
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Mass-assignment scheme. Currently only SPH is supported.
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nsim : int
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IC realisation index.
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Returns
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-------
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path : str
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"""
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fdir = join(self.postdir, "environment")
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if not isdir(fdir):
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makedirs(fdir)
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warn(f"Created directory `{fdir}`.", UserWarning, stacklevel=1)
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fname = f"density_{mas}_{str(nsim).zfill(5)}.npy"
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return join(fdir, fname)
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def knnauto_path(self, run, nsim=None):
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"""
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Path to the `knn` auto-correlation files. If `nsim` is not specified
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@ -74,18 +74,72 @@
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"execution_count": 1,
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"id": "f2986dd2",
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"metadata": {},
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"outputs": [],
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"source": [
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"import h5py"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"id": "1d8ad8fe",
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"metadata": {},
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"outputs": [],
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"source": [
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"f = h5py.File(\"../data/particles_7444.h5\", \"r\")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 8,
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"id": "020ac8e4",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"array([ 4.42346358e-01, 7.09757663e-03, 4.64053304e-01, -1.96926287e-03,\n",
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" -2.67177823e-03, -6.45721859e-04, 1.16415322e-10])"
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]
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},
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"execution_count": 8,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"f[\"particles\"][0, :]"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "1eb74f46",
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "venv_galomatch",
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"display_name": "venv_csiborg",
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"language": "python",
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"name": "venv_galomatch"
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.9.7"
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}
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},
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"nbformat": 4,
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75
scripts/pre_dumppath5.py
Normal file
75
scripts/pre_dumppath5.py
Normal file
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@ -0,0 +1,75 @@
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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 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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