def main():
comm = MPI.COMM_WORLD
np = split_size_2d(comm.size)
grid = [
numpy.linspace(0, 1.0, np[0] + 1, endpoint=True),
numpy.linspace(0, 1.0, np[1] + 1, endpoint=True),
]
domain = GridND(grid)
if comm.rank == 0:
logging.info('grid %s' % str(grid) )
[P] = read(comm, ns.filename, TPMSnapshotFile, columns=['Position', 'ID'])
tpos = P['Position']
tid = P['ID']
del P
Ntot = sum(comm.allgather(len(tpos)))
if comm.rank == 0:
logging.info('Total number of particles %d, ll %g' % (Ntot, ns.LinkingLength))
ll = ns.LinkingLength * Ntot ** -0.3333333
#print pos
#print ((pos[0] - pos[1]) ** 2).sum()** 0.5, ll
layout = domain.decompose(tpos, smoothing=ll * 1)
tpos = layout.exchange(tpos)
tid = layout.exchange(tid)
logging.info('domain %d has %d particles' % (comm.rank, len(tid)))
data = cluster.dataset(tpos, boxsize=1.0)
fof = cluster.fof(data, linking_length=ll, np=0, verbose=True)
# initialize global labels
minid = equiv_class(fof.labels, tid, op=numpy.fmin)[fof.labels]
del fof
del data
del tpos
del tid
while True:
# merge, if a particle belongs to several ranks
# use the global label of the minimal
minid_new = layout.gather(minid, mode=numpy.fmin)
minid_new = layout.exchange(minid_new)
# on my rank, these particles have been merged
merged = minid_new != minid
# if no rank has merged any, we are done
# gl is the global label (albeit with some holes)
total = comm.allreduce(merged.sum())
if comm.rank == 0:
print 'merged ', total, 'halos'
if total == 0:
del minid_new
break
old = minid[merged]
new = minid_new[merged]
arg = old.argsort()
new = new[arg]
old = old[arg]
replacesorted(minid, old, new, out=minid)
minid = layout.gather(minid, mode=numpy.fmin)
label = assign_halo_label(minid, comm, thresh=ns.nmin)
N = halos.count(label, comm=comm)
if comm.rank == 0:
print 'total halos is', len(N)
[P] = read(comm, ns.filename, TPMSnapshotFile, columns=['Position'])
hpos = halos.centerofmass(label, P['Position'], boxsize=1.0, comm=comm)
[P] = read(comm, ns.filename, TPMSnapshotFile, columns=['Velocity'])
hvel = halos.centerofmass(label, P['Velocity'], boxsize=None, comm=comm)
if comm.rank == 0:
print N
print 'total groups', N.shape
print 'total particles', N.sum()
print 'above ', ns.nmin, (N >ns.nmin).sum()
N[0] = -1
with open(ns.output + '.halo', 'w') as ff:
numpy.int32(len(N)).tofile(ff)
numpy.float32(ns.LinkingLength).tofile(ff)
numpy.int32(N).tofile(ff)
numpy.float32(hpos).tofile(ff)
numpy.float32(hvel).tofile(ff)
print hpos
del N
del hpos
npart = None
if comm.rank == 0:
snapshot = Snapshot(ns.filename,TPMSnapshotFile)
npart = snapshot.npart
for i in range(len(snapshot.npart)):
with open(ns.output + '.grp.%02d' % i, 'w') as ff:
numpy.int32(npart[i]).tofile(ff)
numpy.float32(ns.LinkingLength).tofile(ff)
pass
npart = comm.bcast(npart)
start = sum(comm.allgather(len(label))[:comm.rank])
end = sum(comm.allgather(len(label))[:comm.rank+1])
label = numpy.int32(label)
written = 0
for i in range(len(npart)):
filestart = sum(npart[:i])
fileend = sum(npart[:i+1])
mystart = start - filestart
myend = end - filestart
if myend <= 0 : continue
if mystart >= npart[i] : continue
if myend > npart[i]: myend = npart[i]
if mystart < 0: mystart = 0
with open(ns.output + '.grp.%02d' % i, 'r+') as ff:
ff.seek(8, 0)
ff.seek(mystart * 4, 1)
label[written:written + myend - mystart].tofile(ff)
written += myend - mystart
return
def main():
comm = MPI.COMM_WORLD
np = split_size_2d(comm.size)
grid = [numpy.linspace(0, 1.0, np[0] + 1, endpoint=True), numpy.linspace(0, 1.0, np[1] + 1, endpoint=True)]
domain = GridND(grid)
if comm.rank == 0:
logging.info("grid %s" % str(grid))
# read in all !
[[Position]] = ns.datasource.read(["Position"], comm, bunchsize=None)
Position /= ns.datasource.BoxSize
print Position.shape
print Position.max(axis=0)
Ntot = sum(comm.allgather(len(Position)))
if comm.rank == 0:
logging.info("Total number of particles %d, ll %g" % (Ntot, ns.LinkingLength))
ll = ns.LinkingLength * Ntot ** -0.3333333
# print pos
# print ((pos[0] - pos[1]) ** 2).sum()** 0.5, ll
layout = domain.decompose(Position, smoothing=ll * 1)
Position = layout.exchange(Position)
logging.info("domain %d has %d particles" % (comm.rank, len(Position)))
labels = local_fof(Position, ll)
del Position
if comm.rank == 0:
logging.info("local fof done")
[[ID]] = ns.datasource.read(["ID"], comm, bunchsize=None)
ID = layout.exchange(ID)
# initialize global labels
minid = equiv_class(labels, ID, op=numpy.fmin)[labels]
del ID
if comm.rank == 0:
logging.info("equiv class, done")
while True:
# merge, if a particle belongs to several ranks
# use the global label of the minimal
minid_new = layout.gather(minid, mode=numpy.fmin)
minid_new = layout.exchange(minid_new)
# on my rank, these particles have been merged
merged = minid_new != minid
# if no rank has merged any, we are done
# gl is the global label (albeit with some holes)
total = comm.allreduce(merged.sum())
if comm.rank == 0:
logging.info("merged %d halos", total)
if total == 0:
del minid_new
break
old = minid[merged]
new = minid_new[merged]
arg = old.argsort()
new = new[arg]
old = old[arg]
replacesorted(minid, old, new, out=minid)
minid = layout.gather(minid, mode=numpy.fmin)
del layout
if comm.rank == 0:
logging.info("merging, done")
Nitem = len(minid)
data = numpy.empty(Nitem, dtype=[("origind", "u8"), ("fofid", "u8")])
# assign origind for recovery of ordering, since
# we need to work in sorted fofid
data["fofid"] = minid
del minid
label = assign_halo_label(data, comm, thresh=ns.nmin)
label = label.copy()
del data
N = halos.count(label, comm=comm)
if comm.rank == 0:
logging.info("Length of entries %s ", str(N))
logging.info("Length of entries %s ", N.shape[0])
logging.info("Total particles %s ", N.sum())
[[Position]] = ns.datasource.read(["Position"], comm, bunchsize=None)
Position /= ns.datasource.BoxSize
hpos = halos.centerofmass(label, Position, boxsize=1.0, comm=comm)
del Position
[[Velocity]] = ns.datasource.read(["Velocity"], comm, bunchsize=None)
Velocity /= ns.datasource.BoxSize
hvel = halos.centerofmass(label, Velocity, boxsize=None, comm=comm)
del Velocity
if comm.rank == 0:
with h5py.File(ns.output + ".hdf5", "w") as ff:
N[0] = 0
data = numpy.empty(
shape=(len(N),), dtype=[("Position", ("f4", 3)), ("Velocity", ("f4", 3)), ("Length", "i4")]
)
data["Position"] = hpos
data["Velocity"] = hvel
data["Length"] = N
# do not create dataset then fill because of
# https://github.com/h5py/h5py/pull/606
dataset = ff.create_dataset(name="FOFGroups", data=data)
dataset.attrs["Ntot"] = Ntot
dataset.attrs["LinkLength"] = ns.LinkingLength
dataset.attrs["BoxSize"] = ns.datasource.BoxSize
del N
del hpos
Ntot = comm.allreduce(len(label))
nfile = (Ntot + 512 ** 3 - 1) // (512 ** 3)
npart = [(i + 1) * Ntot // nfile - i * Ntot // nfile for i in range(nfile)]
if comm.rank == 0:
for i in range(len(npart)):
with open(ns.output + ".grp.%02d" % i, "w") as ff:
numpy.int32(npart[i]).tofile(ff)
numpy.float32(ns.LinkingLength).tofile(ff)
pass
start = sum(comm.allgather(len(label))[: comm.rank])
end = sum(comm.allgather(len(label))[: comm.rank + 1])
label = numpy.int32(label)
written = 0
for i in range(len(npart)):
filestart = sum(npart[:i])
fileend = sum(npart[: i + 1])
mystart = start - filestart
myend = end - filestart
if myend <= 0:
continue
if mystart >= npart[i]:
continue
if myend > npart[i]:
myend = npart[i]
if mystart < 0:
mystart = 0
with open(ns.output + ".grp.%02d" % i, "r+") as ff:
ff.seek(8, 0)
ff.seek(mystart * 4, 1)
label[written : written + myend - mystart].tofile(ff)
written += myend - mystart
return
