#!/usr/bin/env python
import sys
import time
from ert.enkf import EnKFMain
from ert.enkf.enums import ErtImplType
# This will instantiate the EnkFMain object and create a handle to
# "everything" ert related for this instance.
ert = EnKFMain( sys.argv[1] )
# Ask the EnKFMain instance how many realisations it has. Observe that
# the answer to this question is just the value of the
# NUM_REALISATIONS setting in the configuration file.
print("This instance has %d realisations" % ert.getEnsembleSize())
# Get the ensemble configuration object, and ask for all GEN_KW keys:
ens_config = ert.ensembleConfig( )
for key in ens_config.getKeylistFromImplType(ErtImplType.GEN_KW):
config_node = ens_config[key]
# "Downcast" to GEN_KW configuration.
gen_kw_config = config_node.getModelConfig( )
print("%s : %s" % (key , gen_kw_config.getKeyWords( )))
#!/usr/bin/env python
import sys
import time
from ert.enkf import EnKFMain, RunArg, NodeId
from ert.enkf.data import EnkfNode
from ert.job_queue import JobQueueManager
ert = EnKFMain( sys.argv[1] )
fs_manager = ert.getEnkfFsManager( )
fs = fs_manager.getCurrentFileSystem( )
# Initialize the realisations.
for iens in range( ert.getEnsembleSize()):
realisation = ert.getRealisation( iens )
realisation.initialize( fs )
# Fetch out the job_queue from the SiteConfig object. In addition we
# create a JobQueueManager objects which wraps the queue. The purpose
# of this manager object is to let the queue run nonblocking in the
# background.
site_config = ert.siteConfig( )
queue_manager = JobQueueManager( site_config.getJobQueue( ) )
queue_manager.startQueue( ert.getEnsembleSize( ) , verbose = False )
# Create list of RunArg instances which hold metadata for one running
# realisation, create the directory where the simulation should run
# and submit the simulation.
path_fmt = "/tmp/run%d"
#!/usr/bin/env python
import sys
import time
from ert.enkf import EnKFMain, RunArg, NodeId
from ert.enkf.data import EnkfNode
from ert.job_queue import JobQueueManager
ert = EnKFMain(sys.argv[1])
fs_manager = ert.getEnkfFsManager()
fs = fs_manager.getCurrentFileSystem()
# Initialize the realisations.
for iens in range(ert.getEnsembleSize()):
realisation = ert.getRealisation(iens)
realisation.initialize(fs)
# Fetch out the job_queue from the SiteConfig object. In addition we
# create a JobQueueManager objects which wraps the queue. The purpose
# of this manager object is to let the queue run nonblocking in the
# background.
site_config = ert.siteConfig()
queue_manager = JobQueueManager(site_config.getJobQueue())
queue_manager.startQueue(ert.getEnsembleSize(), verbose=False)
# Create list of RunArg instances which hold metadata for one running
# realisation, create the directory where the simulation should run
# and submit the simulation.
path_fmt = "/tmp/run%d"
arg_list = [
RunArg.createEnsembleExperimentRunArg(fs, iens, path_fmt % iens)
for iens in range(ert.getEnsembleSize())
