class LocalConnectivityH5(H5File):
def __init__(self, path):
super(LocalConnectivityH5, self).__init__(path)
self.surface = Reference(LocalConnectivity.surface, self)
self.matrix = SparseMatrix(LocalConnectivity.matrix, self)
self.equation = Scalar(Attr(str), self, name='equation')
self.cutoff = Scalar(LocalConnectivity.cutoff, self)
def store(self, datatype, scalars_only=False, store_references=True):
# type: (LocalConnectivity, bool, bool) -> None
super(LocalConnectivityH5, self).store(datatype, scalars_only,
store_references)
# equations are such a special case that we will have to implement custom load store
self.equation.store(datatype.equation.to_json(datatype.equation))
def load_into(self, datatype):
# type: (LocalConnectivity) -> None
super(LocalConnectivityH5, self).load_into(datatype)
eq = self.equation.load()
eq = datatype.equation.from_json(eq)
datatype.equation = eq
def get_min_max_values(self):
metadata = self.matrix.get_metadata()
return metadata.min, metadata.max
class LocalConnectivityH5(H5File):
def __init__(self, path):
super(LocalConnectivityH5, self).__init__(path)
self.surface = Reference(LocalConnectivity.surface, self)
self.matrix = SparseMatrix(LocalConnectivity.matrix, self)
self.equation = EquationScalar(LocalConnectivity.equation, self)
self.cutoff = Scalar(LocalConnectivity.cutoff, self)
def store(self, datatype, scalars_only=False, store_references=True):
# type: (LocalConnectivity, bool, bool) -> None
super(LocalConnectivityH5, self).store(datatype, scalars_only, store_references)
def load_into(self, datatype):
# type: (LocalConnectivity) -> None
super(LocalConnectivityH5, self).load_into(datatype)
def get_min_max_values(self):
metadata = self.matrix.get_metadata()
return metadata.min, metadata.max
class LocalConnectivityH5(H5File):
def __init__(self, path):
super(LocalConnectivityH5, self).__init__(path)
self.surface = Reference(LocalConnectivity.surface, self)
# this multidataset accessor works but something is off about it
# this would be clearer
# self.matrix, self.matrixindices, self.matrixindptr
self.matrix = SparseMatrix(LocalConnectivity.matrix, self)
# equation is an inlined reference
# should this be a special equation scalar field?
# or this?
# this is clear about the structure, but obviously breaks the default store/load
# self.equation_equation = Scalar(Equation.equation, self)
# self.equation_parameters = Scalar(Equation.parameters, self)
self.equation = Scalar(Attr(str), self, name='equation')
self.cutoff = Scalar(LocalConnectivity.cutoff, self)
# equations are such a special case that we will have to implement custom load store
def store(self, datatype, scalars_only=False):
self.surface.store(datatype.surface)
self.matrix.store(datatype.matrix)
self.cutoff.store(datatype.cutoff)
self.equation.store(datatype.equation.to_json(datatype.equation))
def load_into(self, datatype):
datatype.gid = self.gid.load()
datatype.matrix = self.matrix.load()
datatype.cutoff = self.cutoff.load()
eq = self.equation.load()
eq = datatype.equation.from_json(eq)
datatype.equation = eq
def get_min_max_values(self):
metadata = self.matrix.get_metadata()
return metadata.min, metadata.max