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Switch to h5py format (#52)
* Edit the particle paths * Remove script * Add h5py to dumping * Minor adjustments * add h5py support * remove split path * h5py support * Type * Edit initmatch paths * Shorten func * dist_centmass to work with 2D arrays * Forgot to return the centre of mass * Fixed code * Fix halo bug * Start MPI broadcasting * Mini bug * Remove commenting * Remove test statement * Fix index * Printing from rank 0 only * Move where clump index stored * Add dtype options * Add dtype options
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8 changed files with 236 additions and 323 deletions
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@ -20,6 +20,7 @@ from argparse import ArgumentParser
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from datetime import datetime
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from os.path import join
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import h5py
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import numpy
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from mpi4py import MPI
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from tqdm import tqdm
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@ -94,19 +95,18 @@ def fit_clump(particles, clump_info, box):
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return out
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def load_clump_particles(clumpid, particle_archive):
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def load_clump_particles(clumpid, particles, clump_map):
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"""
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Load a clump's particles from the particle archive. If it is not there, i.e
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clump has no associated particles, return `None`.
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Load a clump's particles. If it is not there, i.e clump has no associated
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particles, return `None`.
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"""
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try:
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part = particle_archive[str(clumpid)]
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return particles[clump_map[clumpid], :]
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except KeyError:
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part = None
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return part
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return None
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def load_parent_particles(clumpid, particle_archive, clumps_cat):
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def load_parent_particles(clumpid, particles, clump_map, clumps_cat):
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"""
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Load a parent halo's particles.
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"""
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@ -115,14 +115,13 @@ def load_parent_particles(clumpid, particle_archive, clumps_cat):
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# and then concatenate them for further analysis.
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clumps = []
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for ind in indxs:
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parts = load_clump_particles(ind, particle_archive)
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parts = load_clump_particles(ind, particles, clump_map)
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if parts is not None:
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clumps.append([parts, None])
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clumps.append(parts)
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if len(clumps) == 0:
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return None
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return csiborgtools.match.concatenate_parts(clumps,
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include_velocities=True)
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return numpy.concatenate(clumps)
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# We now start looping over all simulations
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@ -133,10 +132,10 @@ for i, nsim in enumerate(paths.get_ics(tonew=False)):
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nsnap = max(paths.get_snapshots(nsim))
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box = csiborgtools.read.BoxUnits(nsnap, nsim, paths)
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# Archive of clumps, keywords are their clump IDs
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particle_archive = numpy.load(paths.split_path(nsnap, nsim))
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clumps_cat = csiborgtools.read.ClumpsCatalogue(nsim, paths, maxdist=None,
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minmass=None, rawdata=True,
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# Particle archive
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particles = h5py.File(paths.particle_h5py_path(nsim), 'r')["particles"]
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clump_map = h5py.File(paths.particle_h5py_path(nsim, "clumpmap"), 'r')
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clumps_cat = csiborgtools.read.ClumpsCatalogue(nsim, paths, rawdata=True,
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load_fitted=False)
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# We check whether we fit halos or clumps, will be indexing over different
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# iterators.
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@ -159,9 +158,10 @@ for i, nsim in enumerate(paths.get_ics(tonew=False)):
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continue
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if args.kind == "halos":
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part = load_parent_particles(clumpid, particle_archive, clumps_cat)
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part = load_parent_particles(clumpid, particles, clump_map,
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clumps_cat)
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else:
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part = load_clump_particles(clumpid, particle_archive)
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part = load_clump_particles(clumpid, particles, clump_map)
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# We fit the particles if there are any. If not we assign the index,
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# otherwise it would be NaN converted to integers (-2147483648) and
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