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add readclumps func
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parent
07a7e41078
commit
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2 changed files with 36 additions and 19 deletions
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@ -14,4 +14,4 @@
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# 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
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# 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
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from .readsim import (get_sim_path, open_particle, open_unbinding,
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from .readsim import (get_sim_path, open_particle, open_unbinding,
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read_particle, read_clumpid)
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read_particle, read_clumpid, read_clumps)
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@ -9,8 +9,8 @@ from tqdm import tqdm
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F16 = numpy.float16
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F16 = numpy.float16
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F32 = numpy.float32
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F32 = numpy.float32
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F64 = numpy.float64
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F64 = numpy.float64
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I32 = numpy.I32
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I32 = numpy.int32
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I64 = numpy.I64
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I64 = numpy.int64
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def get_sim_path(n, fname="ramses_out_{}", srcdir="/mnt/extraspace/hdesmond"):
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def get_sim_path(n, fname="ramses_out_{}", srcdir="/mnt/extraspace/hdesmond"):
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@ -261,22 +261,39 @@ def read_clumpid(n, simpath, verbose=True):
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return clumpid
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return clumpid
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def read_clumps(n, simpath):
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def read_clumps(n, simpath):
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pass
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"""
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# n = str(n).zfill(5)
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Read in a precomputed clump file `clump_N.dat`.
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# fname = join(simpath, "output_{}".format(n), "clump_{}.dat".format(n))
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#
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# if not isfile(fname):
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# raise FileExistsError("Clump file `{}` does not exist.".format(fname))
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#
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# arr = numpy.genfromtxt(fname)
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#
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# cols = [("index", I64)]
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#
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#
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#
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# return arr
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Parameters
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----------
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n : int
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The index of a redshift snapshot.
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simpath : str
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The complete path to the CSiBORG simulation.
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#index lev parent(2) ncell peak_x peak_y(5) peak_z rho- rho+(8) rho_av mass_cl relevance(11)
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Returns
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#clumparr = numpy.genfromtxt(srcdir1+"/clump_"+outnr1+".dat")
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-------
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out : structured array
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Structured array of the clumps.
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"""
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n = str(n).zfill(5)
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fname = join(simpath, "output_{}".format(n), "clump_{}.dat".format(n))
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# Check the file exists.
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if not isfile(fname):
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raise FileExistsError("Clump file `{}` does not exist.".format(fname))
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# Read in the clump array. This is how the columns must be written!
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arr = numpy.genfromtxt(fname)
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cols = [("index", I64), ("level", I64), ("parent", I64), ("ncell", F64),
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("peak_x", F64), ("peak_y", F64), ("peak_z", F64),
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("rho-", F64), ("rho+", F64), ("rho_av", F64),
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("mass_cl", F64), ("relevance", F64)]
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# Write to a structured array
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dtype = {"names": [col[0] for col in cols],
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"formats": [col[1] for col in cols]}
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out = numpy.full(arr.shape[0], numpy.nan, dtype=dtype)
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for i, name in enumerate(dtype["names"]):
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out[name] = arr[:, i]
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return out
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