new metrics

src/leaderboard/processor.py

@@ -64,11 +64,14 @@ def calculate_integral_score(row: pd.Series) -> float:
             normalized_time = (runtime - MIN_PUNISHABLE_RUNTIME_MS) / (
                 MAX_PUNISHABLE_RUNTIME_MS - MIN_PUNISHABLE_RUNTIME_MS
             )
-            time_factor = 1.0 - MAX_RUNTIME_PENALTY * normalized_time
+            # Match reference library formula 1
+            time_factor = 1.0 - (1.0 - MAX_RUNTIME_PENALTY) * normalized_time
         else:
+            # Match reference library formula (though less critical when max==min)
             time_factor = 1.0 if runtime <= MIN_PUNISHABLE_RUNTIME_MS else (1.0 - MAX_RUNTIME_PENALTY)
 
-        time_factor = max((1.0 - MAX_RUNTIME_PENALTY), time_factor)
+        # Match reference library formula 2 (enforce minimum factor)
+        time_factor = max(MAX_RUNTIME_PENALTY, time_factor)
         integral_score *= time_factor
 
     # Rooting is not done in the reference library's summary table calculation