Redo tests to use namedtuple

src/spikeinterface/qualitymetrics/tests/test_metrics_functions.py

@@ -371,7 +371,7 @@ def test_synchrony_metrics(sorting_analyzer_simple):
 
     # check returns
     for size in synchrony_sizes:
-        assert f"sync_spike_{size}" in synchrony_metrics
+        assert f"sync_spike_{size}" in synchrony_metrics._fields
 
     # here we test that increasing added synchrony is captured by syncrhony metrics
     added_synchrony_levels = (0.2, 0.5, 0.8)
@@ -386,8 +386,13 @@ def test_synchrony_metrics(sorting_analyzer_simple):
         current_synchrony_metrics = compute_synchrony_metrics(sorting_analyzer_sync, synchrony_sizes=synchrony_sizes)
         print(current_synchrony_metrics)
         # check that all values increased
-        for syncs in previous_synchrony_metrics:
-            assert list(previous_synchrony_metrics[syncs].values()) < list(current_synchrony_metrics[syncs].values())
+        for i, col in enumerate(previous_synchrony_metrics._fields):
+            assert np.all(
+                v_prev < v_curr
+                for (v_prev, v_curr) in zip(
+                    previous_synchrony_metrics[i].values(), current_synchrony_metrics[i].values()
+                )
+            )
 
         # set new previous waveform extractor
         previous_sorting_analyzer = sorting_analyzer_sync
@@ -398,21 +403,21 @@ def test_synchrony_metrics_unit_id_subset(sorting_analyzer_simple):
     unit_ids_subset = [3, 7]
 
     synchrony_sizes = (2,)
-    synchrony_metrics = compute_synchrony_metrics(
+    synchrony_metrics, = compute_synchrony_metrics(
         sorting_analyzer_simple, synchrony_sizes=synchrony_sizes, unit_ids=unit_ids_subset
     )
 
-    assert list(synchrony_metrics["sync_spike_2"].keys()) == [3, 7]
+    assert list(synchrony_metrics.keys()) == [3, 7]
 
 
 def test_synchrony_metrics_no_unit_ids(sorting_analyzer_simple):
 
-    all_unit_ids = sorting_analyzer_simple.sorting.unit_ids
+    #all_unit_ids = sorting_analyzer_simple.sorting.unit_ids
 
     synchrony_sizes = (2,)
-    synchrony_metrics = compute_synchrony_metrics(sorting_analyzer_simple, synchrony_sizes=synchrony_sizes)
+    synchrony_metrics, = compute_synchrony_metrics(sorting_analyzer_simple, synchrony_sizes=synchrony_sizes)
 
-    assert np.all(list(synchrony_metrics["sync_spike_2"].keys()) == sorting_analyzer_simple.unit_ids)
+    assert np.all(list(synchrony_metrics.keys()) == sorting_analyzer_simple.unit_ids)
 
 
 @pytest.mark.sortingcomponents