def __init__(self, src_norm, src_scalar):
self._src_norm = src_norm
self.volume = src_scalar.get('grid_volume')
if self.volume is not None:
self.volume = self.volume.y[0]
#
self.fields = pythonize_name_dict(self.keys(), self.__getitem__)
def __init__(self, src_inf, src_min, src_max):
self._src_inf = src_inf
self._src_min = src_min
self._src_max = src_max
self._keys = set(src_inf.keys())
kmin = set(src_min.keys())
kmax = set(src_max.keys())
kd = kmin.intersection(kmax)
self._keys.update(kd)
self.fields = pythonize_name_dict(self.keys(), self.__getitem__)
def __init__(self, files, dims):
self._dims = tuple(sorted(dims))
self._vars = files
self._restarts = {}
self._iters = {}
self._times = {}
self._spacing = {}
self.fields = pythonize_name_dict(self._vars.keys(), self.bind_field)
self._vecsrc = GridVectorSource(self)
self._matsrc = GridMatrixSource(self)
def __init__(self, sd, kind):
self.kind = str(kind)
self._vars = {}
for f in sd.allfiles:
try:
fo = CactusScalarASCII(f)
if fo.reduction_type == kind:
for v in fo.keys():
self._vars.setdefault(v, {})[fo.folder] = fo
#
#
except RuntimeError:
pass
#
#
self.fields = pythonize_name_dict(self.keys(), self.__getitem__)