diff --git a/neuralpredictors/layers/readouts/gaussian.py b/neuralpredictors/layers/readouts/gaussian.py
index 3023b5e6..656183b1 100644
--- a/neuralpredictors/layers/readouts/gaussian.py
+++ b/neuralpredictors/layers/readouts/gaussian.py
@@ -294,9 +294,7 @@ def __init__(
                 torch.normal(mean=torch.ones(1, outdims), std=torch.ones(1, outdims))
             )
         elif self._regularizer_type != "l1":
-            raise ValueError(
-                f"regularizer_type should be 'l1' or 'adaptive_log_norm' but got {self._regularizer_type}"
-            )
+            raise ValueError(f"regularizer_type should be 'l1' or 'adaptive_log_norm' but got {self._regularizer_type}")
 
         if init_mu_range > 1.0 or init_mu_range <= 0.0 or init_sigma <= 0.0:
             raise ValueError("either init_mu_range doesn't belong to [0.0, 1.0] or init_sigma_range is non-positive")