diff --git a/metrics/auroc.py b/metrics/auroc.py
index 6e0418f..d04e27d 100644
--- a/metrics/auroc.py
+++ b/metrics/auroc.py
@@ -160,5 +160,5 @@ class AUROCWithMWU(torchmetrics.Metric):
 
     # Compute auroc with the weight set to 1/2 when positive & negative have identical scores.
     auroc = auroc_le - (auroc_le - auroc_lt) / 2.0
-
-    return auroc
\ No newline at end of file
+    return auroc
+  
\ No newline at end of file
diff --git a/metrics/rce.py b/metrics/rce.py
index 5d1e092..be5dfa4 100644
--- a/metrics/rce.py
+++ b/metrics/rce.py
@@ -21,7 +21,8 @@ def _smooth(
     label_smoothing: smoothing constant.
   Returns: Smoothed values.
   """
-  return value * (1.0 - label_smoothing) + 0.5 * label_smoothing
+  smoothed_values = value * (1.0 - label_smoothing) + 0.5 * label_smoothing
+  return smoothed_values
 
 
 def _binary_cross_entropy_with_clipping(
@@ -179,7 +180,6 @@ class RCE(torchmetrics.Metric):
     pred_ce = self.binary_cross_entropy.compute()
 
     rce = (1.0 - (pred_ce / baseline_ce)) * 100
-
     return rce
 
   def reset(self):