fix: do not reverse list of certainties to choose smallest log likelihood

nmn/modules/utils/attention_set.py

@@ -50,7 +50,7 @@ class AttentionSet:
             for attn_id, certainties in self.certainties.items():
                 last_certainties[attn_id] = certainties[-1]
             attns = []
-            for attn_id in sorted(last_certainties, key=last_certainties.get, reverse=True):  # type: ignore
+            for attn_id in sorted(last_certainties, key=last_certainties.get):  # type: ignore
                 attns.append((attn_id, self.set[attn_id]))
             return attns
         elif heuristic == "average":
@@ -58,7 +58,7 @@ class AttentionSet:
             for attn_id, certainties in self.certainties.items():
                 average_certainties[attn_id] = sum(certainties) / len(certainties)
             attns = []
-            for attn_id in sorted(average_certainties, key=average_certainties.get, reverse=True):  # type: ignore
+            for attn_id in sorted(average_certainties, key=average_certainties.get):  # type: ignore
                 attns.append((attn_id, self.set[attn_id]))
             return attns
         elif heuristic == "discounted":