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

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

src/spikeinterface/core/analyzer_extension_core.py

@@ -537,7 +537,7 @@ def get_templates(self, unit_ids=None, save=True):
             The returned templates (num_units, num_samples, num_channels)
         """
 
-        templates = self.data['average']
+        templates = self.data["average"]
 
         if save:
             self.save()

src/spikeinterface/exporters/to_phy.py

@@ -184,11 +184,15 @@ def export_to_phy(
     if templates_ext is None:
         templates_ext = sorting_analyzer.get_extension("fast_templates")
         if templates_ext is not None and template_mode != "average":
-            assert False, "export_to_phy with SortingAnalyzer with extension 'fast_templates' can only work with template_mode='average'"
+            assert (
+                False
+            ), "export_to_phy with SortingAnalyzer with extension 'fast_templates' can only work with template_mode='average'"
         dense_templates = templates_ext.get_templates(unit_ids=unit_ids)
     else:
         dense_templates = templates_ext.get_templates(unit_ids=unit_ids, operator=template_mode)
-    assert templates_ext is not None, "export_to_phy need SortingAnalyzer with extension 'templates' or 'fast_templates'"
+    assert (
+        templates_ext is not None
+    ), "export_to_phy need SortingAnalyzer with extension 'templates' or 'fast_templates'"
     max_num_channels = max(len(chan_inds) for chan_inds in sparse_dict.values())
     num_samples = dense_templates.shape[1]
     templates = np.zeros((len(unit_ids), num_samples, max_num_channels), dtype="float64")