Handle Ego4D terminal voice endpoints

2026-09-15 13:27:01 +08:00
parent 86aa124a46
commit b3dc02b293
2 changed files with 48 additions and 5 deletions
@@ -114,6 +114,25 @@ class Ego4DAVCandidateTests(unittest.TestCase):
        with self.assertRaisesRegex(ValueError, "exactly one camera wearer"):
            load_clip_segments(clip)

+    def test_bounded_official_terminal_endpoint_is_preserved_and_audited(self) -> None:
+        clip = fixture_clip()
+        clip["clip_end_sec"] = 8.76
+        rows, _ = derive_clip_candidates(clip, split="val", config=CandidateConfig())
+        offset = next(
+            row for row in rows
+            if row["candidate_source"] == "WEARER_OFFSET" and row["event_time"] == 8.0
+        )
+        self.assertAlmostEqual(
+            offset["temporal_evidence"]["terminal_voice_overrun_seconds"], 0.04
+        )
+
+    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))
+        with self.assertRaisesRegex(ValueError, "exceeds the audited limit"):
+            derive_clip_candidates(clip, split="val", config=CandidateConfig())
+

 if __name__ == "__main__":
    unittest.main()