def retrieve_measure_points_prams(self, time_series):
if isinstance(time_series, TimeSeriesRegion):
return BrainViewer.retrieve_measure_points_prams(self, time_series)
self.measure_points_no = time_series.sensors.number_of_sensors
if isinstance(time_series, TimeSeriesEEG):
return prepare_mapped_sensors_as_measure_points_params(self.current_project_id,
time_series.sensors, self.surface)
return prepare_sensors_as_measure_points_params(time_series.sensors)
def retrieve_measure_points_params(self, time_series):
if isinstance(time_series, TimeSeriesRegionIndex):
return BrainViewer.retrieve_measure_points_params(self, time_series)
sensors_index = dao.get_datatype_by_gid(time_series.fk_sensors_gid)
self.measure_points_no = sensors_index.number_of_sensors
if isinstance(time_series, TimeSeriesEEGIndex):
return prepare_mapped_sensors_as_measure_points_params(sensors_index, self.surface_index,
self.stored_adapter.id)
return prepare_sensors_as_measure_points_params(sensors_index)
