diff --git a/src/spikeinterface/sorters/internal/spyking_circus2.py b/src/spikeinterface/sorters/internal/spyking_circus2.py
index db06287f6c..6cf925e852 100644
--- a/src/spikeinterface/sorters/internal/spyking_circus2.py
+++ b/src/spikeinterface/sorters/internal/spyking_circus2.py
@@ -65,7 +65,7 @@ def _run_from_folder(cls, sorter_output_folder, params, verbose):
         else:
             recording_f = recording
 
-        #recording_f = whiten(recording_f, dtype="float32")
+        # recording_f = whiten(recording_f, dtype="float32")
         recording_f = zscore(recording_f, dtype="float32")
 
         ## Then, we are detecting peaks with a locally_exclusive method
diff --git a/src/spikeinterface/sortingcomponents/clustering/clustering_tools.py b/src/spikeinterface/sortingcomponents/clustering/clustering_tools.py
index 6dba4b7f0f..72cfd71791 100644
--- a/src/spikeinterface/sortingcomponents/clustering/clustering_tools.py
+++ b/src/spikeinterface/sortingcomponents/clustering/clustering_tools.py
@@ -602,7 +602,7 @@ def remove_duplicates_via_matching(
         }
     )
 
-    spikes_per_units, counts = np.unique(waveform_extractor.sorting.to_spike_vector()['unit_index'], return_counts=True)
+    spikes_per_units, counts = np.unique(waveform_extractor.sorting.to_spike_vector()["unit_index"], return_counts=True)
     indices = np.argsort(counts)
 
     ignore_ids = []
diff --git a/src/spikeinterface/sortingcomponents/clustering/random_projections.py b/src/spikeinterface/sortingcomponents/clustering/random_projections.py
index d7ceef2561..1f97bf5201 100644
--- a/src/spikeinterface/sortingcomponents/clustering/random_projections.py
+++ b/src/spikeinterface/sortingcomponents/clustering/random_projections.py
@@ -33,7 +33,7 @@ class RandomProjectionClustering:
             "min_cluster_size": 20,
             "allow_single_cluster": True,
             "core_dist_n_jobs": os.cpu_count(),
-            "cluster_selection_method": "leaf"
+            "cluster_selection_method": "leaf",
         },
         "cleaning_kwargs": {},
         "waveforms": {"ms_before": 2, "ms_after": 2, "max_spikes_per_unit": 100},