def test_projection_surface_eeg(self):
dt = projections.ProjectionSurfaceEEG()
assert dt.sources is None
assert dt.skin_air is None
assert dt.skull_skin is None
assert dt.sensors is None
assert dt.projection_data is None
def test_projection_surface_eeg(self):
dt = projections.ProjectionSurfaceEEG(sensors=SensorsEEG(),projection_data=numpy.array([]), sources=CorticalSurface())
assert dt.sources is not None
assert dt.skin_air is None
assert dt.skull_skin is None
assert dt.sensors is not None
assert dt.projection_data is not None
def test_projectionsurfaceeeg(self):
dt = projections.ProjectionSurfaceEEG()
self.assertTrue(dt.sources is None)
self.assertTrue(dt.skin_air is None)
self.assertTrue(dt.skull_skin is None)
self.assertTrue(dt.sensors is None)
self.assertTrue(dt.projection_data is None)
def cdata2eeg_mapping(eeg_mapping_data, meta, storage_path, expected_shape=0):
"""
Currently not used
"""
tmpdir = os.path.join(gettempdir(),
eeg_mapping_data.parent_cfile.get_unique_cff_name())
LOG.debug("Using temporary folder for EEG_Mapping import: " + tmpdir)
_zipfile = ZipFile(eeg_mapping_data.parent_cfile.src, 'r', ZIP_DEFLATED)
eeg_projection_path = _zipfile.extract(eeg_mapping_data.src, tmpdir)
eeg_projection_data = read_matlab_data(eeg_projection_path,
constants.DATA_NAME_PROJECTION)
if eeg_projection_data.shape[1] < expected_shape:
padding = numpy.zeros((eeg_projection_data.shape[0],
expected_shape - eeg_projection_data.shape[1]))
eeg_projection_data = numpy.hstack((eeg_projection_data, padding))
gid = dao.get_last_data_with_uid(meta[constants.KEY_SURFACE_UID],
surfaces.CorticalSurface)
surface_data = ABCAdapter.load_entity_by_gid(gid)
projection_matrix = projections.ProjectionSurfaceEEG(
storage_path=storage_path)
projection_matrix.projection_data = eeg_projection_data
projection_matrix.sources = surface_data
projection_matrix.sensors = None
### TODO if we decide to use this method, we will need to find a manner to fill the sensors.
return projection_matrix
def test_projection_surface_eeg(self):
dt = projections.ProjectionSurfaceEEG(
) #load_file='projection_eeg_65_surface_16k.npy')
assert dt.sources is None
assert dt.skin_air is None
assert dt.skull_skin is None
assert dt.sensors is None
assert dt.projection_data is None