diff --git a/pyrecest/evaluation/determine_all_deviations.py b/pyrecest/evaluation/determine_all_deviations.py
index dbc431a7..9c50d734 100644
--- a/pyrecest/evaluation/determine_all_deviations.py
+++ b/pyrecest/evaluation/determine_all_deviations.py
@@ -1,6 +1,7 @@
-import numpy as np
 import warnings
 
+import numpy as np
+
 
 def determine_all_deviations(
     results,
@@ -23,7 +24,9 @@ def determine_all_deviations(
             if "last_filter_states" not in result_curr_config:
                 final_estimate = result_curr_config["last_estimates"][run]
             elif callable(extract_mean):
-                final_estimate = extract_mean(result_curr_config["last_filter_states"][run])
+                final_estimate = extract_mean(
+                    result_curr_config["last_filter_states"][run]
+                )
             else:
                 raise ValueError("No compatible mean extraction function given.")
 
diff --git a/pyrecest/tests/test_evaluation.py b/pyrecest/tests/test_evaluation.py
index 45c6043a..70603619 100644
--- a/pyrecest/tests/test_evaluation.py
+++ b/pyrecest/tests/test_evaluation.py
@@ -59,7 +59,7 @@ def test_generate_meas_R2(self):
     def test_determine_all_deviations(self):
         def dummy_extract_mean(x):
             return x
-        
+
         def dummy_distance_function(x, y):
             return np.linalg.norm(x - y)
 
@@ -91,11 +91,13 @@ def dummy_distance_function(x, y):
         # Validate some of the results
         np.testing.assert_allclose(
             # Should be zeros as the lastEstimates match groundtruths
-            all_deviations[0], [0, 0]
+            all_deviations[0],
+            [0, 0],
         )
         np.testing.assert_allclose(
             # Should be np.sqrt(2) away from groundtruths
-            all_deviations[1], [np.sqrt(3), np.sqrt(3)]
+            all_deviations[1],
+            [np.sqrt(3), np.sqrt(3)],
         )
 
     def test_configure_kf(self):