Remove the need of template_similarity extension for autocorrelogram plot

Author: alejoe91

src/spikeinterface/exporters/report.py

@@ -22,8 +22,8 @@ def export_report(
     """
     Exports a SI spike sorting report. The report includes summary figures of the spike sorting output.
     What is plotted depends on what has been calculated. Unit locations and unit waveforms are always included.
-    Unit waveform densities, correlograms and spike amplitudes are plotted if `waveforms`, `correlograms`
-    and 'template_similarity', and `spike_amplitudes` have been computed for the given `sorting_analyzer`.
+    Unit waveform densities, correlograms and spike amplitudes are plotted if `waveforms`, `correlograms`,
+    and `spike_amplitudes` have been computed for the given `sorting_analyzer`.
 
     Parameters
     ----------

src/spikeinterface/widgets/autocorrelograms.py

@@ -9,7 +9,13 @@ class AutoCorrelogramsWidget(CrossCorrelogramsWidget):
     # the doc is copied form CrossCorrelogramsWidget
 
     def __init__(self, *args, **kargs):
-        CrossCorrelogramsWidget.__init__(self, *args, **kargs)
+        _ = kargs.pop("min_similarity_for_correlograms", 0.0)
+        CrossCorrelogramsWidget.__init__(
+            self,
+            *args,
+            **kargs,
+            min_similarity_for_correlograms=None,
+        )
 
     def plot_matplotlib(self, data_plot, **backend_kwargs):
         import matplotlib.pyplot as plt

src/spikeinterface/widgets/crosscorrelograms.py

@@ -21,7 +21,8 @@ class CrossCorrelogramsWidget(BaseWidget):
         List of unit ids
     min_similarity_for_correlograms : float, default: 0.2
         For sortingview backend. Threshold for computing pair-wise cross-correlograms.
-        If template similarity between two units is below this threshold, the cross-correlogram is not displayed
+        If template similarity between two units is below this threshold, the cross-correlogram is not displayed.
+        For auto-correlograms plot, this is automatically set to None.
     window_ms : float, default: 100.0
         Window for CCGs in ms. If correlograms are already computed (e.g. with SortingAnalyzer),
         this argument is ignored

src/spikeinterface/widgets/unit_summary.py

@@ -108,7 +108,7 @@ def plot_matplotlib(self, data_plot, **backend_kwargs):
         fig = self.figure
         nrows = 2
         ncols = 2
-        if sorting_analyzer.has_extension("correlograms") and sorting_analyzer.has_extension("template_similarity"):
+        if sorting_analyzer.has_extension("correlograms"):
             ncols += 1
         if sorting_analyzer.has_extension("waveforms"):
             ncols += 1
@@ -172,7 +172,7 @@ def plot_matplotlib(self, data_plot, **backend_kwargs):
             col_counter += 1
             ax_waveform_density.set_ylabel(None)
 
-        if sorting_analyzer.has_extension("correlograms") and sorting_analyzer.has_extension("template_similarity"):
+        if sorting_analyzer.has_extension("correlograms"):
             ax_correlograms = fig.add_subplot(gs[:2, col_counter])
             AutoCorrelogramsWidget(
                 sorting_analyzer,