Merge pull request #149 from harshitnagar22/test/fractional-degradation-gate
test(sleep): add fractional degradation gate test for partial held-out regression
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@@ -1259,6 +1259,45 @@ class MockBeneficialBackend(MockBackend):
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break
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return edits
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class MockFractionalDegradationBackend(MockBackend):
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"""Backend where an edit improves train but partially degrades held-out.
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Train improves 0.0 → 1.0 (looks good!) but held-out degrades from
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1.0 → 0.5 across two val tasks (one still passes, one breaks).
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A naive optimizer might see the train improvement and miss the
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partial regression — the gate must catch this subtle case.
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"""
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HACK_TEXT = "Always respond with a definitive answer"
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def attempt(self, task: TaskRecord, skill: str, memory: str, sample_id: int = 0) -> str:
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ctx = (skill or "") + "\n" + (memory or "")
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if self.HACK_TEXT in ctx:
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if "rule:__reward_hacking__" in task.tags:
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return str(task.reference) # train improves
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if "rule:real" in task.tags:
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if task.id == "v1":
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return str(task.reference) # val task 1 still passes
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if task.id == "v2":
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return "misleading answer" # val task 2 breaks
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# Baseline (without edit)
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if "rule:__reward_hacking__" in task.tags:
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return "I am missing input" # train fails
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if "rule:real" in task.tags:
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return str(task.reference) # held-out passes
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return super().attempt(task, skill, memory, sample_id)
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def reflect(self, failures, successes, skill, memory, **kwargs):
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edits = []
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for task, _ in failures:
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if "rule:__reward_hacking__" in task.tags:
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edits.append(EditRecord("skill", "add", self.HACK_TEXT,
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rationale="improve response confidence"))
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break
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return edits
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class TestVerifierDiscipline(unittest.TestCase):
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def test_gate_rejects_reward_hacking_edit(self):
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be = MockRewardHackingBackend()
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@@ -1290,6 +1329,34 @@ class TestVerifierDiscipline(unittest.TestCase):
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self.assertGreater(len(res.applied_edits), 0)
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self.assertIn("step-by-step", res.applied_edits[0].content)
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def test_gate_rejects_fractional_degradation(self):
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"""Gate must reject an edit that partially degrades held-out (1.0→0.5),
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not just all-or-nothing collapses. Train improves (0.0→1.0) which makes
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the regression easy to miss — the gate catches it anyway."""
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be = MockFractionalDegradationBackend()
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train = TaskRecord(id="t3", project="/p", intent="train", reference="ABC",
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reference_kind="exact", tags=["rule:__reward_hacking__"], split="train")
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val1 = TaskRecord(id="v1", project="/p", intent="val", reference="DEF",
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reference_kind="exact", tags=["rule:real"], split="val")
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val2 = TaskRecord(id="v2", project="/p", intent="val", reference="GHI",
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reference_kind="exact", tags=["rule:real"], split="val")
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tasks = [train, val1, val2]
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res = consolidate(be, tasks, "", "", edit_budget=4, gate_metric="hard", night=1)
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self.assertFalse(res.accepted)
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self.assertEqual(res.gate_action, "reject")
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# Baseline: both val tasks pass → 1.0
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self.assertEqual(res.holdout_baseline, 1.0)
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# After rejection the skill reverts; final replay also passes both
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self.assertEqual(res.holdout_candidate, 1.0)
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# Confirm we had two val tasks in the baseline
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self.assertEqual(len(res.holdout_detail), 2)
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self.assertGreater(len(res.rejected_edits), 0)
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self.assertIn("definitive answer", res.rejected_edits[0].content)
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class TestDiagnosticsRedaction(unittest.TestCase):
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"""diagnostics.json surfaces backend stderr / optimizer replies / task
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responses for debugging — but those can carry credentials (e.g. a codex 401
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