Remove hardcoded value "BAD_blinks" in interpolate_blink (#13531)

Add an argument to `_annotations_starts_stops` to allow matching
exactly instead of being prefix.

Author: v01dxyz

mne/annotations.py

@@ -1232,7 +1232,9 @@ def _sync_onset(raw, onset, inverse=False):
     return annot_start
 
 
-def _annotations_starts_stops(raw, kinds, name="skip_by_annotation", invert=False):
+def _annotations_starts_stops(
+    raw, kinds, name="skip_by_annotation", exact_match=False, invert=False
+):
     """Get starts and stops from given kinds.
 
     onsets and ends are inclusive.
@@ -1247,11 +1249,18 @@ def _annotations_starts_stops(raw, kinds, name="skip_by_annotation", invert=Fals
     if len(raw.annotations) == 0:
         onsets, ends = np.array([], int), np.array([], int)
     else:
-        idxs = [
-            idx
-            for idx, desc in enumerate(raw.annotations.description)
-            if any(desc.upper().startswith(kind.upper()) for kind in kinds)
-        ]
+        if exact_match:
+            idxs = [
+                idx
+                for idx, desc in enumerate(raw.annotations.description)
+                if desc in kinds
+            ]
+        else:
+            idxs = [
+                idx
+                for idx, desc in enumerate(raw.annotations.description)
+                if any(desc.upper().startswith(kind.upper()) for kind in kinds)
+            ]
         # onsets are already sorted
         onsets = raw.annotations.onset[idxs]
         onsets = _sync_onset(raw, onsets)

mne/preprocessing/eyetracking/_pupillometry.py

@@ -88,7 +88,11 @@ def _interpolate_blinks(raw, buffer, blink_annots, interpolate_gaze):
                 continue
         # Create an empty boolean mask
         mask = np.zeros_like(raw.times, dtype=bool)
-        starts, ends = _annotations_starts_stops(raw, "BAD_blink")
+        starts, ends = _annotations_starts_stops(
+            raw,
+            list({annot["description"] for annot in blink_annots}),
+            exact_match=True,
+        )
         starts = np.divide(starts, raw.info["sfreq"])
         ends = np.divide(ends, raw.info["sfreq"])
         for annot, start, end in zip(blink_annots, starts, ends):