fix: consider slope >50 as fail

Author: anyangml

lambench/metrics/utils.py

@@ -110,7 +110,7 @@ def aggregated_nve_md_results(results: dict[str, dict[str, float]]) -> dict[str,
     aggregated_result = {}
     success_count = len(results)
     for test_system, result in results.items():
-        if result["steps"] != NVEMD_NSTEPS:
+        if result["steps"] != NVEMD_NSTEPS or result["slope"]>=50:
             success_count -= 1
             continue  # Skip the incomplete simulation
         for k, v in result.items():

lambench/metrics/vishelper/metrics_calculations.py

@@ -190,10 +190,10 @@ def _calculate_instability_error(self, cell: dict, lambda_0: float = 5e-4) -> fl
             return 5
         else:
             slope = cell.get("slope", None)
-            if slope is None:
+            if slope is None or np.log10(slope / lambda_0) >=5:
                 return 5
             else:
-                return np.clip(np.log10(cell["slope"] / lambda_0), a_min=0, a_max=None)
+                return np.clip(np.log10(slope / lambda_0), a_min=0, a_max=None)
 
     def calculate_efficiency_results(self) -> dict[str, float]:
         efficiency_results = self.fetcher.fetch_inference_efficiency_results()