diff --git a/lotus/sem_ops/cascade_utils.py b/lotus/sem_ops/cascade_utils.py
index 681e7ca9..2bee2c77 100644
--- a/lotus/sem_ops/cascade_utils.py
+++ b/lotus/sem_ops/cascade_utils.py
@@ -20,14 +20,16 @@ def importance_sampling(
 
     return sample_indices, correction_factors
 
+
 def calibrate_llm_logprobs(true_probs: list[float]) -> list[float]:
     """Transforms true probabilities to calibrate LLM proxies."""
     num_quantiles = lotus.settings.cascade_num_calibration_quantiles
     quantile_values = np.percentile(true_probs, np.linspace(0, 100, num_quantiles + 1))
-    true_probs = ((np.digitize(true_probs, quantile_values) - 1) / num_quantiles)
+    true_probs = (np.digitize(true_probs, quantile_values) - 1) / num_quantiles
     true_probs = list(np.clip(true_probs, 0, 1))
     return true_probs
 
+
 def learn_cascade_thresholds(
     proxy_scores: list[float],
     oracle_outputs: list[bool],
diff --git a/lotus/settings.py b/lotus/settings.py
index 765a04ea..a928880c 100644
--- a/lotus/settings.py
+++ b/lotus/settings.py
@@ -115,4 +115,4 @@ def __repr__(self) -> str:
 
 # set defaults
 settings = Settings()
-settings.configure(cascade_is_weight=0.5, cascade_num_calibration_quantiles=50)
\ No newline at end of file
+settings.configure(cascade_is_weight=0.5, cascade_num_calibration_quantiles=50)