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SpikeInterface · Jan 15, 2025 · eacaa0b · eacaa0b
1 parent beb8f23
commit eacaa0b
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Showing 3 changed files with 9 additions and 9 deletions.
diff --git a/src/spikeinterface/sorters/internal/spyking_circus2.py b/src/spikeinterface/sorters/internal/spyking_circus2.py
@@ -235,8 +235,8 @@ def _run_from_folder(cls, sorter_output_folder, params, verbose):
                 )
             peaks = detect_peaks(recording_w, "locally_exclusive", **detection_params, **job_kwargs)
 
-        if verbose:
-            print("We found %d peaks in total" % len(peaks))
+        if not skip_peaks and verbose:
+            print("Found %d peaks in total" % len(peaks))
 
         if params["multi_units_only"]:
             sorting = NumpySorting.from_peaks(peaks, sampling_frequency, unit_ids=recording_w.unit_ids)
@@ -249,7 +249,7 @@ def _run_from_folder(cls, sorter_output_folder, params, verbose):
             selected_peaks = select_peaks(peaks, **selection_params)
 
             if verbose:
-                print("We kept %d peaks for clustering" % len(selected_peaks))
+                print("Kept %d peaks for clustering" % len(selected_peaks))
 
             ## We launch a clustering (using hdbscan) relying on positions and features extracted on
             ## the fly from the snippets
@@ -334,7 +334,7 @@ def _run_from_folder(cls, sorter_output_folder, params, verbose):
                     np.save(fitting_folder / "spikes", spikes)
 
                 if verbose:
-                    print("We found %d spikes" % len(spikes))
+                    print("Found %d spikes" % len(spikes))
 
                 ## And this is it! We have a spyking circus
                 sorting = np.zeros(spikes.size, dtype=minimum_spike_dtype)
@@ -377,7 +377,7 @@ def _run_from_folder(cls, sorter_output_folder, params, verbose):
             sorting = final_cleaning_circus(recording_w, sorting, templates, merging_params, **job_kwargs)
 
             if verbose:
-                print(f"Final merging, keeping {len(sorting.unit_ids)} units")
+                print(f"Kept {len(sorting.unit_ids)} units after final merging")
 
         folder_to_delete = None
         cache_mode = params["cache_preprocessing"].get("mode", "memory")

diff --git a/src/spikeinterface/sortingcomponents/clustering/circus.py b/src/spikeinterface/sortingcomponents/clustering/circus.py
@@ -281,7 +281,7 @@ def main_function(cls, recording, peaks, params, job_kwargs=dict()):
         peak_labels[mask] = -1
 
         if verbose:
-            print("We found %d raw clusters, starting to clean with matching..." % (len(templates.unit_ids)))
+            print("Found %d raw clusters, starting to clean with matching" % (len(templates.unit_ids)))
 
         cleaning_job_kwargs = job_kwargs.copy()
         cleaning_job_kwargs["progress_bar"] = False
@@ -292,6 +292,6 @@ def main_function(cls, recording, peaks, params, job_kwargs=dict()):
         )
 
         if verbose:
-            print("We kept %d non-duplicated clusters..." % len(labels))
+            print("Kept %d non-duplicated clusters" % len(labels))
 
         return labels, peak_labels
diff --git a/src/spikeinterface/sortingcomponents/clustering/random_projections.py b/src/spikeinterface/sortingcomponents/clustering/random_projections.py
@@ -172,7 +172,7 @@ def main_function(cls, recording, peaks, params, job_kwargs=dict()):
         peak_labels[mask] = -1
 
         if verbose:
-            print("We found %d raw clusters, starting to clean with matching..." % (len(templates.unit_ids)))
+            print("Found %d raw clusters, starting to clean with matching" % (len(templates.unit_ids)))
 
         cleaning_job_kwargs = job_kwargs.copy()
         cleaning_job_kwargs["progress_bar"] = False
@@ -183,6 +183,6 @@ def main_function(cls, recording, peaks, params, job_kwargs=dict()):
         )
 
         if verbose:
-            print("We kept %d non-duplicated clusters..." % len(labels))
+            print("Kept %d non-duplicated clusters" % len(labels))
 
         return labels, peak_labels