[pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

src/spikeinterface/core/template.py

@@ -205,7 +205,7 @@ def to_sparse(self, sparsity):
             unit_ids=self.unit_ids,
             probe=self.probe,
             check_for_consistent_sparsity=self.check_for_consistent_sparsity,
-            is_scaled=self.is_scaled
+            is_scaled=self.is_scaled,
         )
 
     def get_one_template_dense(self, unit_index):

src/spikeinterface/sorters/internal/spyking_circus2.py

@@ -27,7 +27,7 @@ class Spykingcircus2Sorter(ComponentsBasedSorter):
         "general": {"ms_before": 2, "ms_after": 2, "radius_um": 50},
         "sparsity": {"method": "snr", "amplitude_mode": "peak_to_peak", "threshold": 6},
         "filtering": {"freq_min": 150, "freq_max": 7000, "ftype": "bessel", "filter_order": 2},
-        "whitening": {"mode": "local", "regularize": False, "radius_um" : 150},
+        "whitening": {"mode": "local", "regularize": False, "radius_um": 150},
         "detection": {"peak_sign": "neg", "detect_threshold": 4},
         "selection": {
             "method": "uniform",

src/spikeinterface/sortingcomponents/clustering/circus.py

@@ -248,7 +248,7 @@ def main_function(cls, recording, peaks, params, job_kwargs=dict()):
 
         if params["noise_levels"] is None:
             params["noise_levels"] = get_noise_levels(recording, return_scaled=False)
-        
+
         sparsity = compute_sparsity(templates, noise_levels=params["noise_levels"], **params["sparsity"])
         templates = templates.to_sparse(sparsity)
         empty_templates = templates.sparsity_mask.sum(axis=1) == 0