def from_hdf5(cls, hdf5_handle):
shape = from_hdf5(hdf5_handle['shape'])
dimension = hdf5_handle['dimension'].value
try:
positions = [tuple(x) for x in hdf5_handle['positions'].value]
except AttributeError:
positions = from_hdf5(hdf5_handle['positions'])
return cls(positions=positions, dimension=dimension, shape=shape)
def from_hdf5(cls, hdf5_handle):
try:
path_labels = from_hdf5(hdf5_handle['path_labels'])
special_points = from_hdf5(hdf5_handle['special_points'])
except ValueError:
path_labels = _hdf5_utils.nested_list_from_hdf5(
hdf5_handle['path_labels'])
special_points = _hdf5_utils.dict_from_hdf5(
hdf5_handle['special_points'])
kpoint_distance = hdf5_handle['kpoint_distance'][()]
unit_cell = hdf5_handle['unit_cell'][()]
return cls(paths=path_labels,
special_points=special_points,
kpoint_distance=kpoint_distance,
unit_cell=unit_cell)
def from_hdf5(cls, hdf5_handle):
"""
Derialize the object from the given HDF5 handle.
"""
graph_group = hdf5_handle['graph']
graph = nx.Graph()
graph.add_nodes_from([tuple(n) for n in graph_group['nodes']])
graph.add_edges_from([(tuple(p1), tuple(p2))
for p1, p2 in graph_group['edges']])
degree_count = from_hdf5(hdf5_handle['degree_count'])
return cls(graph=graph, degree_count=degree_count)
def from_hdf5(cls, hdf5_handle):
return cls(symmetries=from_hdf5(hdf5_handle['symmetries']),
full_group=hdf5_handle['full_group'].value)