Audit malformed Ego4D voice segments

test_prepare_ego4d_av_eot_int_review.py

@@ -129,10 +129,24 @@ class Ego4DAVCandidateTests(unittest.TestCase):
     def test_large_terminal_endpoint_overrun_is_rejected(self) -> None:
         clip = fixture_clip()
         clip["clip_end_sec"] = 11.95
-        clip["camera_wearer"]["voice_segments"].append(segment("wearer", 11.8, 12.2))
+        clip["camera_wearer"]["voice_segments"].append(segment("wearer", 11.8, 13.2))
         with self.assertRaisesRegex(ValueError, "exceeds the audited limit"):
             derive_clip_candidates(clip, split="val", config=CandidateConfig())
 
+    def test_zero_duration_voice_segment_is_ignored_with_explicit_audit(self) -> None:
+        clip = fixture_clip()
+        clip["persons"][1]["voice_segments"].append(segment("p2", 9.0, 9.0))
+        audit: dict[str, object] = {}
+        rows, timeline = derive_clip_candidates(
+            clip, split="val", config=CandidateConfig(), audit_out=audit
+        )
+        self.assertEqual(audit["zero_duration_voice_segment_count"], 1)
+        self.assertFalse(any(row["start_seconds"] == 9.0 for row in timeline))
+        self.assertTrue(all(
+            row["temporal_evidence"]["zero_duration_voice_segment_count"] == 1
+            for row in rows
+        ))
+
 
 if __name__ == "__main__":
     unittest.main()