def add_model_ensemble(self, id, directory, simulation_type, reweight_beta=None, iteration_range=None,
**platform_specific_args):
'''Add a model ensemble. The id, directory, and iteration_range parameters
are common to all ensemble types. The platform_specific_args argument is
a dictionary containing options for the specific platform'''
if not self.ensembles.has_key(id):
self.ensembles[id] = {}
if not self.ensembles[id].has_key("model"):
self.ensembles[id]["model"] = []
self.ensembles[id]["model"].append({})
self.ensembles[id]["model"][-1] = PlatformSelector.get_ensemble(simulation_type, directory, reweight_beta, iteration_range,
self.log_level,
platform_specific_args)
def add_target_ensemble(self, id, directory, simulation_type, reweight_beta=None, iteration_range=None,
**platform_specific_args):
'''Add a target ensemble. The id, directory, and iteration_range parameters
are common to all ensemble types. The platform_specific_args argument is
a dictionary containing options for the specific platform'''
if not self.ensembles.has_key(id):
self.ensembles[id] = {}
if self.ensembles[id].has_key("target"):
print "ERROR: Duplicate target ensemble name: ", id
sys.exit(1)
self.ensembles[id]["target"] = PlatformSelector.get_ensemble(simulation_type, directory, reweight_beta, iteration_range,
self.log_level,
platform_specific_args)
self.ensembles[id]["model"] = []