mirror of
https://github.com/Richard-Sti/csiborgtools.git
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8e3127f4d9
* Update verbosity messages * Update verbosity messags * Update more verbosity flags * Update the iterator settings * Add basic plots * Update verbosity flags * Update arg parsre * Update plots * Remove some older code * Fix some definitions * Update plots * Update plotting * Update plots * Add support functions * Update nb * Improve plots, move back to scripts * Update plots * pep8 * Add max overlap plot * Add blank line * Upload changes * Update changes * Add weighted stats * Remove * Add import * Add Max's matching * Edit submission * Add paths to Max's matching * Fix matching * Edit submission * Edit plot * Add max overlap separation plot * Add periodic distance * Update overlap summaries * Add nsim0 for Max matvhing * Add Max's agreement plot * Add Quijote for Max method * Update ploitting * Update name
119 lines
4.0 KiB
Python
119 lines
4.0 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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"""A script to match all IC pairs of a simulation."""
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import warnings
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from argparse import ArgumentParser
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from distutils.util import strtobool
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from itertools import combinations
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from random import Random
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from mpi4py import MPI
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from taskmaster import work_delegation
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import csiborgtools
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from match_singlematch import pair_match, pair_match_max
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def get_combs(simname):
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"""
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Get the list of all pairs of IC indices and permute them with a fixed
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seed.
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Parameters
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----------
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simname : str
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Simulation name.
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Returns
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-------
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combs : list
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List of pairs of simulations.
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"""
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paths = csiborgtools.read.Paths(**csiborgtools.paths_glamdring)
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combs = list(combinations(paths.get_ics(simname), 2))
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Random(42).shuffle(combs)
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return combs
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def main(comb, kind, simname, min_logmass, sigma, mult, verbose):
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"""
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Match a pair of simulations.
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Parameters
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----------
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comb : tuple
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Pair of simulation IC indices.
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kind : str
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Kind of matching.
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simname : str
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Simulation name.
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min_logmass : float
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Minimum log halo mass.
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sigma : float
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Smoothing scale in number of grid cells.
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mult : float
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Multiplicative factor for search radius.
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verbose : bool
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Verbosity flag.
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Returns
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-------
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None
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"""
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nsim0, nsimx = comb
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if kind == "overlap":
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pair_match(nsim0, nsimx, simname, min_logmass, sigma, verbose)
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elif args.kind == "max":
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pair_match_max(nsim0, nsimx, simname, min_logmass, mult, verbose)
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else:
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raise ValueError(f"Unknown matching kind: `{kind}`.")
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if __name__ == "__main__":
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parser = ArgumentParser()
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parser.add_argument("--kind", type=str, required=True,
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choices=["overlap", "max"], help="Kind of matching.")
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parser.add_argument("--simname", type=str, required=True,
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help="Simulation name.",
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choices=["csiborg", "quijote"])
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parser.add_argument("--nsim0", type=int, default=None,
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help="Reference IC for Max's matching method.")
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parser.add_argument("--min_logmass", type=float, required=True,
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help="Minimum log halo mass.")
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parser.add_argument("--sigma", type=float, default=0,
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help="Smoothing scale in number of grid cells.")
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parser.add_argument("--mult", type=float, default=5,
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help="Search radius multiplier for Max's method.")
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parser.add_argument("--verbose", type=lambda x: bool(strtobool(x)),
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default=False, help="Verbosity flag.")
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args = parser.parse_args()
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if args.kind == "overlap":
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combs = get_combs(args.simname)
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else:
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paths = csiborgtools.read.Paths(**csiborgtools.paths_glamdring)
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combs = [(args.nsim0, nsimx) for nsimx in paths.get_ics(args.simname)
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if nsimx != args.nsim0]
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def _main(comb):
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with warnings.catch_warnings():
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warnings.filterwarnings("ignore",
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"invalid value encountered in cast",
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RuntimeWarning)
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main(comb, args.kind, args.simname, args.min_logmass, args.sigma,
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args.mult, args.verbose)
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work_delegation(_main, combs, MPI.COMM_WORLD)
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