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)