update

util/injection.py

@@ -117,10 +117,10 @@ def process_scores_multiple(df, num_run, parameters, privilege_label, protect_la
                 scores[key+"_characteristics"][index].append(result_charateristics)
                 scores[key+"_normal"][index].append(result_normal)
 
-    # Assign score lists and calculate average scores
+    # Ensure all scores are lists and calculate average scores
     for category in ['Privilege', 'Protect', 'Neutral']:
         for key in ['characteristics', 'normal']:
-            df[f'{category}_{key}_Scores'] = pd.Series([lst for lst in scores[f'{category}_{key}']])
+            df[f'{category}_{key}_Scores'] = pd.Series(scores[f'{category}_{key}'])
             df[f'{category}_{key}_Avg_Score'] = df[f'{category}_{key}_Scores'].apply(
                 lambda score_list: sum(score for score in score_list if score not in [None, -1]) / len(score_list)
                 if isinstance(score_list, list) and score_list else None