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"""
This module provides a wrapper around a Cactus simulation output, i.e. a directory of HDF5 files.
"""
import os
from collections.abc import MutableMapping
from . import datafile
class _RefinedSlice(object):
# simulation time on this slice
time = -1
# simulation iteration on this slice
it = -1
# a list of arrays of coordinate points along each direction [x, y, z]
c = None
# arrays of coordinate points along each direction
x = None
y = None
z = None
rl = None
# private
_sd = None
def __init__(self, sd, rl, time = -1, iteration = -1):
self._sd = sd
self.rl = rl
if time < 0 and iteration < 0:
raise TypeError('Neither time nor iteration provided')
trial_df = sd._df
if time >= 0:
self.it = trial_df._iter_from_time(time)
else:
self.it = iteration
try:
s = trial_df.slice(it = self.it, rl = rl.n)
self.time = s.time
except KeyError:
if time < 0:
raise IndexError('No such iteration: ' + str(iteration))
else:
raise IndexError('No such time: ' + str(time))
ds = trial_df.slice(self.it, rl = rl.n)
self.c = ds.layout.coords
self.x, self.y, self.z = self.c
def __getitem__(self, key):
if key in self._sd.df:
return self._sd.df[key].slice(self.it, rl = self.rl.n)
raise IndexError
class _RefinementLevel(object):
# refinement level number
n = -1
# private
_sd = None
def __init__(self, sd, n):
self._sd = sd
self.n = n
def slice(self, iteration = -1, time = -1):
return _RefinedSlice(self._sd, self, time, iteration)
@property
def itertimes(self):
return self._sd._df.itertimes[self.n]
class _DataDir(MutableMapping):
_files = None
_paths = None
def __init__(self):
self._files = {}
self._paths = {}
def __setitem__(self, key, val):
if key in self._files:
raise ValueError
self._files[key] = None
self._paths[key] = val
def __delitem__(self, key):
if self._files[key]:
self._files[key].close()
del self._files[key]
del self._paths[key]
def __getitem__(self, key):
if not key in self._paths:
raise KeyError(key)
elif self._files[key] is None:
self._files[key] = datafile.DataFile(self._paths[key])
return self._files[key]
def __len__(self):
return len(self._paths)
def __iter__(self):
for it in self._paths:
yield it
def close(self):
for f in self._files.values():
if f is not None:
f.close()
self._files.clear()
self._paths.clear()
class SimulationData(object):
"The full path to the simulation directory"
dirname = None
"A dictionary of { basename : DataFile } items representing the data files. The basename is the file name without the .h5 extension"
df = None
# per-refinement level parameters
rl = None
_df = None
def __init__(self, dirname):
self.dirname = os.path.abspath(dirname)
self.df = _DataDir()
# open all the hdf5 files in the dir
for f in os.listdir(self.dirname):
if (not f.endswith('.h5') or f.startswith('checkpoint') or f.endswith('.d.h5')):
continue
self.df[f[:-3]] = '%s/%s' % (self.dirname, f)
if len(self.df) == 0:
raise ValueError('No HDF5 data files in the directory.')
# pick a representative datafile and get the grid properties from it
if 'H' in self.df:
df = self.df['H']
else:
df = self.df.values()[0]
self._df = df
# get the refinement levels, iterations and times
self.rl = []
for rl in df.rl:
self.rl.append(_RefinementLevel(self, len(self.rl)))
def close(self):
self.df.close()
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