def _initializeRealization(self, target_fs, geo_id, iens, keywords):
ens_config = self.ert.ensembleConfig()
for kw in ens_config.getKeylistFromVarType(EnkfVarType.PARAMETER):
if not kw in keywords:
config_node = ens_config[kw]
data_node = EnkfNode(config_node)
init_id = NodeId(0, geo_id)
run_id = NodeId(0, iens)
data_node.load(self._getInitializationCase(), init_id)
data_node.save(target_fs, run_id)
for key, values in keywords.items():
config_node = ens_config[key]
data_node = EnkfNode(config_node)
gen_kw = data_node.asGenKw()
gen_kw.setValues(values)
run_id = NodeId(0, iens)
data_node.save(target_fs, run_id)
target_fs.fsync()
state_map = target_fs.getStateMap()
state_map[iens] = RealizationStateEnum.STATE_INITIALIZED
def _initializeRealization(self, target_fs, geo_id, iens, keywords):
ens_config = self.ert.ensembleConfig()
for kw in ens_config.getKeylistFromVarType(EnkfVarType.PARAMETER):
if not kw in keywords:
config_node = ens_config[kw]
data_node = EnkfNode( config_node )
init_id = NodeId(0, geo_id)
run_id = NodeId(0, iens)
data_node.load(self._getInitializationCase(), init_id)
data_node.save(target_fs, run_id)
for key, values in keywords.items():
config_node = ens_config[key]
data_node = EnkfNode( config_node )
gen_kw = data_node.asGenKw()
gen_kw.setValues(values)
run_id = NodeId(0, iens)
data_node.save(target_fs, run_id)
target_fs.fsync()
state_map = target_fs.getStateMap()
state_map[iens] = RealizationStateEnum.STATE_INITIALIZED
time.sleep( 5 )
ens_config = ert.ensembleConfig( )
data_config = ens_config["SNAKE_OIL_OPR_DIFF"]
param_config = ens_config["SNAKE_OIL_PARAM"]
for iens in range(ert.getEnsembleSize( )):
data_id = NodeId( realization_number = iens,
report_step = 199 )
enkf_node1 = EnkfNode( data_config )
enkf_node1.load( fs , data_id )
gen_data = enkf_node1.asGenData( )
data = gen_data.getData( )
param_id = NodeId( realization_number = iens,
report_step = 0 )
enkf_node2 = EnkfNode( param_config )
enkf_node2.load( fs , param_id )
gen_kw = enkf_node2.asGenKw( )
print sum(data)
for v in gen_kw:
print v
# Using the __getitem__() of GenData which was implemented
# previously.
for d in gen_data:
print d
queue_manager.getNumSuccess(), queue_manager.getNumFailed()))
if not queue_manager.isRunning():
break
time.sleep(5)
ens_config = ert.ensembleConfig()
data_config = ens_config["SNAKE_OIL_OPR_DIFF"]
param_config = ens_config["SNAKE_OIL_PARAM"]
for iens in range(ert.getEnsembleSize()):
data_id = NodeId(realization_number=iens, report_step=199)
enkf_node1 = EnkfNode(data_config)
enkf_node1.load(fs, data_id)
gen_data = enkf_node1.asGenData()
data = gen_data.getData()
param_id = NodeId(realization_number=iens, report_step=0)
enkf_node2 = EnkfNode(param_config)
enkf_node2.load(fs, param_id)
gen_kw = enkf_node2.asGenKw()
print sum(data)
for v in gen_kw:
print v
# Using the __getitem__() of GenData which was implemented
# previously.
for d in gen_data:
print d
