Improve tests for template metrics

SpikeInterface · Sep 10, 2024 · 6cbe4db · 6cbe4db
1 parent 689c633
commit 6cbe4db
Showing 1 changed file with 28 additions and 16 deletions.
diff --git a/src/spikeinterface/postprocessing/tests/test_template_metrics.py b/src/spikeinterface/postprocessing/tests/test_template_metrics.py
@@ -3,6 +3,10 @@
 import pytest
 import csv
 
+from spikeinterface.postprocessing.template_metrics import _single_channel_metric_name_to_func
+
+template_metrics = list(_single_channel_metric_name_to_func.keys())
+
 
 def test_compute_new_template_metrics(small_sorting_analyzer):
     """
@@ -13,28 +17,38 @@ def test_compute_new_template_metrics(small_sorting_analyzer):
     are deleted.
     """
 
+    # calculate just exp_decay
+    small_sorting_analyzer.compute({"template_metrics": {"metric_names": ["exp_decay"]}})
+    template_metric_extension = small_sorting_analyzer.get_extension("template_metrics")
+
+    assert "exp_decay" in list(template_metric_extension.get_data().keys())
+    assert "half_width" not in list(template_metric_extension.get_data().keys())
+
     # calculate all template metrics
     small_sorting_analyzer.compute("template_metrics")
-
-    # calculate just exp_decay - this should not delete the previously calculated metrics
+    # calculate just exp_decay - this should not delete any other metrics
     small_sorting_analyzer.compute({"template_metrics": {"metric_names": ["exp_decay"]}})
-
     template_metric_extension = small_sorting_analyzer.get_extension("template_metrics")
 
-    # Check old metrics are not deleted and the new one is added to the data and metadata
-    assert "exp_decay" in list(template_metric_extension.get_data().keys())
-    assert "half_width" in list(template_metric_extension.get_data().keys())
+    set(template_metrics) == set(template_metric_extension.get_data().keys())
 
-    # check that, when parameters are changed, the old metrics are deleted
+    # calculate just exp_decay with delete_existing_metrics
     small_sorting_analyzer.compute(
-        {"template_metrics": {"metric_names": ["exp_decay"], "metrics_kwargs": {"recovery_window_ms": 0.6}}}
+        {"template_metrics": {"metric_names": ["exp_decay"], "delete_existing_metrics": True}}
     )
-
     template_metric_extension = small_sorting_analyzer.get_extension("template_metrics")
+    computed_metric_names = template_metric_extension.get_data().keys()
 
-    assert "half_width" not in list(template_metric_extension.get_data().keys())
+    for metric_name in template_metrics:
+        if metric_name == "exp_decay":
+            assert metric_name in computed_metric_names
+        else:
+            assert metric_name not in computed_metric_names
 
-    assert small_sorting_analyzer.get_extension("quality_metrics") is None
+    # check that, when parameters are changed, the old metrics are deleted
+    small_sorting_analyzer.compute(
+        {"template_metrics": {"metric_names": ["exp_decay"], "metrics_kwargs": {"recovery_window_ms": 0.6}}}
+    )
 
 
 def test_save_template_metrics(small_sorting_analyzer, create_cache_folder):
@@ -43,8 +57,6 @@ def test_save_template_metrics(small_sorting_analyzer, create_cache_folder):
     metrics and checks if they are saved correctly.
     """
 
-    from spikeinterface.postprocessing.template_metrics import _single_channel_metric_name_to_func
-
     small_sorting_analyzer.compute("template_metrics")
 
     cache_folder = create_cache_folder
@@ -57,7 +69,7 @@ def test_save_template_metrics(small_sorting_analyzer, create_cache_folder):
         saved_metrics = csv.reader(metrics_file)
         metric_names = next(saved_metrics)
 
-    for metric_name in list(_single_channel_metric_name_to_func.keys()):
+    for metric_name in template_metrics:
         assert metric_name in metric_names
 
     folder_analyzer.compute("template_metrics", metric_names=["half_width"], delete_existing_metrics=False)
@@ -66,7 +78,7 @@ def test_save_template_metrics(small_sorting_analyzer, create_cache_folder):
         saved_metrics = csv.reader(metrics_file)
         metric_names = next(saved_metrics)
 
-    for metric_name in list(_single_channel_metric_name_to_func.keys()):
+    for metric_name in template_metrics:
         assert metric_name in metric_names
 
     folder_analyzer.compute("template_metrics", metric_names=["half_width"], delete_existing_metrics=True)
@@ -75,7 +87,7 @@ def test_save_template_metrics(small_sorting_analyzer, create_cache_folder):
         saved_metrics = csv.reader(metrics_file)
         metric_names = next(saved_metrics)
 
-    for metric_name in list(_single_channel_metric_name_to_func.keys()):
+    for metric_name in template_metrics:
         if metric_name == "half_width":
             assert metric_name in metric_names
         else: