def read_attributes(self, h5file_group: Union[Group,
File]) -> Dict[str, Any]:
"""
Read data from h5 file group that is stored directly as `<h5py.Group>.attrs`, or saved in subgroups titled
`<h5py.Group>/__lists` and `<h5py.Group>/__dicts`.
"""
attributes = self.h5_attrs_to_dict(h5file_group.attrs)
if '__dicts' in h5file_group:
for dict_name in h5file_group['__dicts']:
attributes[dict_name] = io.read(
self.filename, h5file_group['__dicts/' + dict_name])
if '__lists' in h5file_group:
for list_name in h5file_group['__lists']:
attributes[list_name] = io.read(
self.filename, h5file_group['__lists/' + list_name])
return attributes
def create_from_file(cls, filename: str) -> object:
"""Read initdata and spectral data from file, and use those to create a new SpectrumData object.
Returns
-------
SpectrumData
new SpectrumData object, initialized with data read from file
"""
import scqubits.io_utils.fileio as io
return io.read(filename)
def read_objects(self, h5file_group: Union[Group,
File]) -> Dict[str, io.IOData]:
"""
Read data from the given h5 file group that represents a Python object other than an ndarray, list, or dict.
"""
inner_objects = {}
h5file_group = h5file_group["__objects"]
for obj_name in h5file_group:
inner_objects[obj_name] = io.read(self.filename,
h5file_group[obj_name])
return inner_objects
def read_attributes(self, h5file_group):
"""
Read data from h5 file group that is stored directly as `<h5py.Group>.attrs`, or saved in subgroups titled
`<h5py.Group>/__lists` and `<h5py.Group>/__dicts`.
Parameters
----------
h5file_group: h5py.Group
Returns
-------
dict [str, dict or list]
"""
attributes = self.h5_attrs_to_dict(h5file_group.attrs)
if '__dicts' in h5file_group:
for dict_name in h5file_group['__dicts']:
attributes[dict_name] = io.read(self.filename, h5file_group['__dicts/' + dict_name])
if '__lists' in h5file_group:
for list_name in h5file_group['__lists']:
attributes[list_name] = io.read(self.filename, h5file_group['__lists/' + list_name])
return attributes
def read_objects(self, h5file_group):
"""
Read data from the given h5 file group that represents a Python object other than an ndarray, list, or dict.
Parameters
----------
h5file_group: h5py.Group
Returns
-------
dict [str, IOData]
"""
inner_objects = {}
h5file_group = h5file_group["__objects"]
for obj_name in h5file_group:
inner_objects[obj_name] = io.read(self.filename, h5file_group[obj_name])
return inner_objects