deepdog/bayes_run_with_ss.py

@@ -192,6 +192,9 @@ class BayesRunWithSubspaceSimulation:
 			likelihoods: List[float] = []
 
 			for (name, result) in zip(self.model_names, results):
+				if result.over_target_likelihood is None:
+					_logger.error("got a none result, bye")
+					return
 				likelihoods.append(result.over_target_likelihood)
 				row[f"{name}_likelihood"] = result.over_target_likelihood
 

deepdog/subset_simulation/subset_simulation_impl.py

@@ -114,7 +114,7 @@ class SubsetSimulation:
 		mcmc_rng = numpy.random.default_rng(self.mcmc_seed)
 
 		for i in range(self.m_max):
-			next_seeds = all_chains[-self.n_c :]
+			next_seeds = all_chains[-self.n_c:]
 
 			for cost_index, cost_chain in enumerate(all_chains[: -self.n_c]):
 				probs_list.append(