diff --git a/panoptica/metrics/metrics.py b/panoptica/metrics/metrics.py
index c7ce019..57432d7 100644
--- a/panoptica/metrics/metrics.py
+++ b/panoptica/metrics/metrics.py
@@ -292,9 +292,7 @@ def __init__(
         self.STD = (
             None
             if self.ALL is None
-            else empty_list_std
-            if len(self.ALL) == 0
-            else np.std(self.ALL)
+            else empty_list_std if len(self.ALL) == 0 else np.std(self.ALL)
         )
 
     def __getitem__(self, mode: MetricMode | str):
diff --git a/panoptica/panoptic_evaluator.py b/panoptica/panoptic_evaluator.py
index 225930e..2534ad5 100644
--- a/panoptica/panoptic_evaluator.py
+++ b/panoptica/panoptic_evaluator.py
@@ -21,9 +21,9 @@
 class Panoptic_Evaluator:
     def __init__(
         self,
-        expected_input: Type[SemanticPair]
-        | Type[UnmatchedInstancePair]
-        | Type[MatchedInstancePair] = MatchedInstancePair,
+        expected_input: (
+            Type[SemanticPair] | Type[UnmatchedInstancePair] | Type[MatchedInstancePair]
+        ) = MatchedInstancePair,
         instance_approximator: InstanceApproximator | None = None,
         instance_matcher: InstanceMatchingAlgorithm | None = None,
         edge_case_handler: EdgeCaseHandler | None = None,
@@ -64,10 +64,9 @@ def __init__(
     @measure_time
     def evaluate(
         self,
-        processing_pair: SemanticPair
-        | UnmatchedInstancePair
-        | MatchedInstancePair
-        | PanopticaResult,
+        processing_pair: (
+            SemanticPair | UnmatchedInstancePair | MatchedInstancePair | PanopticaResult
+        ),
         result_all: bool = True,
         verbose: bool | None = None,
     ) -> tuple[PanopticaResult, dict[str, _ProcessingPair]]:
@@ -89,10 +88,9 @@ def evaluate(
 
 
 def panoptic_evaluate(
-    processing_pair: SemanticPair
-    | UnmatchedInstancePair
-    | MatchedInstancePair
-    | PanopticaResult,
+    processing_pair: (
+        SemanticPair | UnmatchedInstancePair | MatchedInstancePair | PanopticaResult
+    ),
     instance_approximator: InstanceApproximator | None = None,
     instance_matcher: InstanceMatchingAlgorithm | None = None,
     eval_metrics: list[Metric] = [Metric.DSC, Metric.IOU, Metric.ASSD],
diff --git a/panoptica/utils/processing_pair.py b/panoptica/utils/processing_pair.py
index df1c659..100ff7a 100644
--- a/panoptica/utils/processing_pair.py
+++ b/panoptica/utils/processing_pair.py
@@ -60,9 +60,13 @@ def crop_data(self, verbose: bool = False):
 
         self._prediction_arr = self._prediction_arr[self.crop]
         self._reference_arr = self._reference_arr[self.crop]
-        print(
-            f"-- Cropped from {self.uncropped_shape} to {self._prediction_arr.shape}"
-        ) if verbose else None
+        (
+            print(
+                f"-- Cropped from {self.uncropped_shape} to {self._prediction_arr.shape}"
+            )
+            if verbose
+            else None
+        )
         self.is_cropped = True
 
     def uncrop_data(self, verbose: bool = False):
@@ -77,9 +81,13 @@ def uncrop_data(self, verbose: bool = False):
 
         reference_arr = np.zeros(self.uncropped_shape)
         reference_arr[self.crop] = self._reference_arr
-        print(
-            f"-- Uncropped from {self._reference_arr.shape} to {self.uncropped_shape}"
-        ) if verbose else None
+        (
+            print(
+                f"-- Uncropped from {self._reference_arr.shape} to {self.uncropped_shape}"
+            )
+            if verbose
+            else None
+        )
         self._reference_arr = reference_arr
         self.is_cropped = False