def test_it(self): state_size = 10 with ErtTestContext("update", self.config_file) as tc: analysis = self.createAnalysisModule() ert = tc.getErt() obs = ert.getObservations() local_obsdata = obs.getAllActiveLocalObsdata() fs = ert.getEnkfFsManager().getCurrentFileSystem() mask = BoolVector(initial_size=ert.getEnsembleSize(), default_value=True) meas_data = MeasData(mask) obs_data = ObsData() obs.getObservationAndMeasureData(fs, local_obsdata, mask.createActiveList(), meas_data, obs_data) update(self.rng, mask, analysis, ert, meas_data, obs_data, state_size) mask[0] = False mask[4] = False meas_data = MeasData(mask) obs_data = ObsData() obs.getObservationAndMeasureData(fs, local_obsdata, mask.createActiveList(), meas_data, obs_data) update(self.rng, mask, analysis, ert, meas_data, obs_data, state_size)
def createActiveList(self, fs): state_map = fs.getStateMap() ens_mask = BoolVector(False, self.ert().getEnsembleSize()) state_map.selectMatching(ens_mask, RealizationStateEnum.STATE_HAS_DATA) active_list = BoolVector.createActiveList(ens_mask) return active_list
def createActiveList(self, fs): state_map = fs.getStateMap() ens_mask = BoolVector(False, self.ert().getEnsembleSize()) state_map.selectMatching(ens_mask, RealizationStateEnum.STATE_HAS_DATA) active_list = BoolVector.createActiveList(ens_mask) return active_list
def createActiveList(ert, fs): state_map = fs.getStateMap() ens_mask = BoolVector(False, ert.getEnsembleSize()) state_map.selectMatching( ens_mask, RealizationStateEnum.STATE_INITIALIZED | RealizationStateEnum.STATE_HAS_DATA) active_list = BoolVector.createActiveList(ens_mask) return [iens for iens in active_list]
def realizationList(self, state_value): """ Will create a list of all realisations with state equal to state_value. @type state_value: RealizationStateEnum @rtype: ecl.util.IntVector """ mask = BoolVector(False, len(self)) self.selectMatching(mask, state_value) return BoolVector.createActiveList(mask)
def calculatePrincipalComponent(self, fs, local_obsdata, truncation_or_ncomp=3): pc = Matrix(1, 1) pc_obs = Matrix(1, 1) singular_values = DoubleVector() state_map = fs.getStateMap() ens_mask = BoolVector(False, self.ert().getEnsembleSize()) state_map.selectMatching(ens_mask, RealizationStateEnum.STATE_HAS_DATA) active_list = ens_mask.createActiveList( ) if len(ens_mask) > 0: meas_data = MeasData(ens_mask) obs_data = ObsData() self.ert().getObservations().getObservationAndMeasureData(fs, local_obsdata, active_list, meas_data, obs_data) meas_data.deactivateZeroStdSamples(obs_data) active_size = len(obs_data) if active_size > 0: S = meas_data.createS() D_obs = obs_data.createDObs() truncation, ncomp = self.truncationOrNumberOfComponents(truncation_or_ncomp) obs_data.scale(S, D_obs=D_obs) EnkfLinalg.calculatePrincipalComponents(S, D_obs, truncation, ncomp, pc, pc_obs, singular_values) if self.__prior_singular_values is None: self.__prior_singular_values = singular_values else: for row in range(pc.rows()): factor = singular_values[row]/self.__prior_singular_values[row] pc.scaleRow( row , factor ) pc_obs.scaleRow( row , factor ) return PcaPlotData(local_obsdata.getName(), pc , pc_obs , singular_values) return None