def ensembleExperiment(self, line):
simulation_runner = EnkfSimulationRunner(self.ert())
now = time.time()
print("Ensemble Experiment started at: %s" % datetime.now().isoformat(sep=" "))
iteration_count = 0
active_realization_mask = BoolVector(default_value = True, initial_size = self.ert().getEnsembleSize())
simulation_runner.createRunPath(active_realization_mask, iteration_count)
simulation_runner.runWorkflows(HookRuntime.PRE_SIMULATION)
print("Start simulations!")
num_successful_realizations = simulation_runner.runEnsembleExperiment()
success = self.ert().analysisConfig().haveEnoughRealisations(num_successful_realizations, self.ert().getEnsembleSize())
if not success:
print("Error: Number of successful realizations is too low.\nYou can allow more failed realizations by setting / changing the MIN_REALIZATIONS configuration element!")
return
print("Ensemble Experiment post processing!")
simulation_runner.runWorkflows(HookRuntime.POST_SIMULATION)
print("Ensemble Experiment completed at: %s" % datetime.now().isoformat(sep=" "))
diff = time.time() - now
print("Running time: %d seconds" % int(diff))
def ensembleExperiment(self, line):
simulation_runner = EnkfSimulationRunner(self.ert())
now = time.time()
print("Ensemble Experiment started at: %s" % datetime.now().isoformat(sep=" "))
if self.ert().getEnkfSimulationRunner().isHookPreSimulation():
self.ert().getEnkfSimulationRunner().runHookWorkflow()
success = simulation_runner.runEnsembleExperiment()
if not success:
print("Error: Simulations failed!")
return
if self.ert().getEnkfSimulationRunner().isHookPostSimulation():
self.ert().getEnkfSimulationRunner().runHookWorkflow()
print("Ensemble Experiment post processing!")
simulation_runner.runPostHookWorkflow()
print("Ensemble Experiment completed at: %s" % datetime.now().isoformat(sep=" "))
diff = time.time() - now
print("Running time: %d seconds" % int(diff))
def ensembleExperiment(self, line):
simulation_runner = EnkfSimulationRunner(self.ert())
now = time.time()
print("Ensemble Experiment started at: %s" %
datetime.now().isoformat(sep=" "))
num_successful_realizations = simulation_runner.runEnsembleExperiment()
success = self.ert().analysisConfig().haveEnoughRealisations(
num_successful_realizations,
self.ert().getEnsembleSize())
if not success:
print(
"Error: Number of successful realizations is too low.\nYou can allow more failed realizations by setting / changing the MIN_REALIZATIONS configuration element!"
)
return
print("Ensemble Experiment post processing!")
simulation_runner.runWorkflows(HookRuntime.POST_SIMULATION)
print("Ensemble Experiment completed at: %s" %
datetime.now().isoformat(sep=" "))
diff = time.time() - now
print("Running time: %d seconds" % int(diff))
def do_ensemble_experiment(self, line):
simulation_runner = EnkfSimulationRunner(self.ert())
now = time.time()
print("Ensemble Experiment started at: %s" % datetime.now().isoformat(sep=" "))
success = simulation_runner.runEnsembleExperiment()
if not success:
print("Error: Simulations failed!")
return
print("Ensemble Experiment post processing!")
simulation_runner.runPostWorkflow()
print("Ensemble Experiment completed at: %s" % datetime.now().isoformat(sep=" "))
diff = time.time() - now
print("Running time: %d seconds" % int(diff))
def ensembleExperiment(self, line):
simulation_runner = EnkfSimulationRunner(self.ert())
now = time.time()
print("Ensemble Experiment started at: %s" % datetime.now().isoformat(sep=" "))
success = simulation_runner.runEnsembleExperiment()
if not success:
print("Error: Simulations failed!")
return
print("Ensemble Experiment post processing!")
simulation_runner.runWorkflows(HookRuntime.POST_SIMULATION)
print("Ensemble Experiment completed at: %s" % datetime.now().isoformat(sep=" "))
diff = time.time() - now
print("Running time: %d seconds" % int(diff))
def ensembleExperiment(self, line):
simulation_runner = EnkfSimulationRunner(self.ert())
now = time.time()
print("Ensemble Experiment started at: %s" %
datetime.now().isoformat(sep=" "))
print("Create the run path!")
iteration_count = self.ert().analysisConfig().getAnalysisIterConfig(
).getNumIterations()
active_realization_mask = BoolVector.createActiveMask(
"0-%d" % self.ert().getEnsembleSize())
# Note that 0(zero) is used and not iteration_count
simulation_runner.createRunPath(active_realization_mask, 0)
print("Ensemble Experiment pre processing!")
simulation_runner.runWorkflows(HookRuntime.PRE_SIMULATION)
print("Start simulations!")
num_successful_realizations = simulation_runner.runEnsembleExperiment()
success = self.ert().analysisConfig().haveEnoughRealisations(
num_successful_realizations,
self.ert().getEnsembleSize())
if not success:
print(
"Error: Number of successful realizations is too low.\nYou can allow more failed realizations by setting / changing the MIN_REALIZATIONS configuration element!"
)
return
print("Ensemble Experiment post processing!")
simulation_runner.runWorkflows(HookRuntime.POST_SIMULATION)
print("Ensemble Experiment completed at: %s" %
datetime.now().isoformat(sep=" "))
diff = time.time() - now
print("Running time: %d seconds" % int(diff))
