def get_config(self):
self.check()
engine_config = grond.EngineConfig(gf_store_superdirs=['gf_stores'])
optimiser_config = grond.HighScoreOptimiserConfig()
return grond.Config(rundir_template=op.join('rundir',
'${problem_name}.grun'),
dataset_config=self.dataset_config,
problem_config=self.problem_config,
target_groups=self.target_groups,
optimiser_config=optimiser_config,
engine_config=engine_config)
def get_grond_config(self):
engine_config = grond.EngineConfig(gf_stores_from_pyrocko_config=False,
gf_store_superdirs=['gf_stores'])
optimiser_config = grond.HighScoreOptimiserConfig()
config = grond.Config(
rundir_template=op.join('runs', '${problem_name}.grun'),
dataset_config=self.get_dataset_config(),
target_groups=[
obs.get_grond_target_group() for obs in self.observations
],
problem_config=self.problem.get_grond_problem_config(),
optimiser_config=optimiser_config,
engine_config=engine_config)
config.set_basepath(self.project_dir)
return config