def __init__(self, project, values, start=None, end=None, **kwargs):
v = [val for val in values]
self.values = np.array(v)
if start is None:
start = 0
if end is None:
end = len(project.waves[0])
self.leakages = np.array([wave[start:end] for wave in project.waves])
Container.__init__(self, **kwargs)
def __init__(self, leakages_filename, values_filename, **kwargs):
"""
Basic constructor
:param leakages_filename: name of the npy file corresponding to the leakages
:param values_filename: name of the npy file corresponding to the values
:param kwargs: additional Container keyword arguments
"""
self.leakages = np.lib.format.open_memmap(leakages_filename,'r+')
self.values = np.lib.format.open_memmap(values_filename,'r+')
Container.__init__(self, **kwargs)
self.logger.debug('Creating NpyContainer from files %s / %s.'%(leakages_filename, values_filename) )
def __init__(self,
filename,
leakages_dataset_name="leakages",
values_dataset_name="values",
mode="r",
**kwargs):
"""
Basic constructor
:param filename:
:param leakages_dataset_name:
:param values_dataset_name:
:param mode: mode for opening filename: default is read-only
"""
self._file = h5py.File(filename, mode)
self.leakages = self._file[leakages_dataset_name]
self.values = self._file[values_dataset_name]
Container.__init__(self, **kwargs)
self.logger.debug(
'Creating Hdf5Container from file %s with datasests %s/%s.' %
(filename, leakages_dataset_name, values_dataset_name))