Rearrange cleanup for NFS stale handles
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531084dbc1
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@ -11,7 +11,7 @@ def smooth_particle_density(
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velocities=None,
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velocities=None,
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radius=1e6,
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radius=1e6,
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boxsize=None,
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boxsize=None,
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resolution=128,i
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resolution=128,
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center=None, tmpprefix=None ):
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center=None, tmpprefix=None ):
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"""Use adaptive smoothing to produce density and momentum fields.
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"""Use adaptive smoothing to produce density and momentum fields.
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The algorithm is originally described in [1].
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The algorithm is originally described in [1].
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@ -68,8 +68,8 @@ def smooth_particle_density(
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raise ValueError("Need a boxsize")
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raise ValueError("Need a boxsize")
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cx,cy,cz=center
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cx,cy,cz=center
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with TemporaryDirectory(prefix=tmpprefix) as tmpdir:
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tmpdir = TemporaryDirectory(prefix=tmpprefix)
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h5_file = os.path.join(tmpdir, 'particles.h5')
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h5_file = os.path.join(tmpdir.name, 'particles.h5')
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with h5.File(h5_file, mode="w") as f:
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with h5.File(h5_file, mode="w") as f:
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data = f.create_dataset('particles', shape=(position.shape[0],7), dtype=np.float32)
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data = f.create_dataset('particles', shape=(position.shape[0],7), dtype=np.float32)
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data[:,:3] = position[:,:3]
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data[:,:3] = position[:,:3]
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@ -88,16 +88,18 @@ def smooth_particle_density(
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str(boxsize),
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str(boxsize),
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str(resolution),
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str(resolution),
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str(cx), str(cy), str(cz)
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str(cx), str(cy), str(cz)
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], cwd=tmpdir)
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], cwd=tmpdir.name)
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f0 = h5.File(os.path.join(tmpdir,'fields.h5'), mode="r")
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f0 = h5.File(os.path.join(tmpdir.name,'fields.h5'), mode="r")
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def cleanup_f0():
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def cleanup_f0():
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f0.close()
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f0.close()
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tmpdir.cleanup()
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class Dict(dict):
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class Dict(dict):
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pass
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pass
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t = Dict(rho=f0['density'], p=[f0['p0'], f0['p1'], f0['p2']])
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t = Dict(rho=f0['density'], p=[f0['p0'], f0['p1'], f0['p2']])
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t._tmpdir_=tmpdir
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weakref.finalize(t, cleanup_f0)
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weakref.finalize(t, cleanup_f0)
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return t
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return t
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