diff --git a/src/spikeinterface/benchmark/benchmark_merging.py b/src/spikeinterface/benchmark/benchmark_merging.py
index d1ec6a41db..f3c8fbb272 100644
--- a/src/spikeinterface/benchmark/benchmark_merging.py
+++ b/src/spikeinterface/benchmark/benchmark_merging.py
@@ -25,12 +25,11 @@ def __init__(self, recording, splitted_sorting, params, gt_sorting, splitted_cel
         self.result = {}
 
     def run(self, **job_kwargs):
-        sorting_analyzer = create_sorting_analyzer(self.gt_sorting, self.recording, format="memory", sparse=True, **job_kwargs)
+        sorting_analyzer = create_sorting_analyzer(
+            self.gt_sorting, self.recording, format="memory", sparse=True, **job_kwargs
+        )
         merged_analyzer, self.result["merges"], self.result["outs"] = auto_merge_units(
-            sorting_analyzer,
-            extra_outputs=True,
-            **self.method_kwargs,
-            **job_kwargs
+            sorting_analyzer, extra_outputs=True, **self.method_kwargs, **job_kwargs
         )
         self.result["sorting"] = merged_analyzer.sorting
 
diff --git a/src/spikeinterface/curation/auto_merge.py b/src/spikeinterface/curation/auto_merge.py
index 7d19f707fd..a7174a3bf8 100644
--- a/src/spikeinterface/curation/auto_merge.py
+++ b/src/spikeinterface/curation/auto_merge.py
@@ -343,7 +343,7 @@ def compute_merge_unit_groups(
                 params["censored_period_ms"],
             )
             outs["pairs_decreased_score"] = pairs_decreased_score
-        
+
         ind1, ind2 = np.nonzero(pair_mask)
         print(step, len(ind1))
 
diff --git a/src/spikeinterface/sorters/internal/spyking_circus2.py b/src/spikeinterface/sorters/internal/spyking_circus2.py
index df0a22cfef..e86650b795 100644
--- a/src/spikeinterface/sorters/internal/spyking_circus2.py
+++ b/src/spikeinterface/sorters/internal/spyking_circus2.py
@@ -344,10 +344,10 @@ def final_cleaning_circus(
     recording,
     sorting,
     templates,
-    similarity_kwargs = {"method": "l2", "support": "union", "max_lag_ms": 0.1},
-    apply_merge_kwargs = {"merging_mode": "soft", "sparsity_overlap": 0.5, "censor_ms": 3.0},
-    correlograms_kwargs = {},
-    template_diff_thresh = np.arange(0.05, 0.25, 0.05)
+    similarity_kwargs={"method": "l2", "support": "union", "max_lag_ms": 0.1},
+    apply_merge_kwargs={"merging_mode": "soft", "sparsity_overlap": 0.5, "censor_ms": 3.0},
+    correlograms_kwargs={},
+    template_diff_thresh=np.arange(0.05, 0.25, 0.05),
 ):
 
     from spikeinterface.sortingcomponents.tools import create_sorting_analyzer_with_existing_templates