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Support full-range and incumbent-floor search modes

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Gahow Wang
2026-05-11 12:58:46 +08:00
parent 8516cd88c0
commit ae756600ce
4 changed files with 74 additions and 3 deletions
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41
tests/test_core_flow.py
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@@ -2248,6 +2248,47 @@ class CoreFlowTests(unittest.TestCase):
trial, _ = store.materialize_trial(study=study, state=state, proposal=proposal)
self.assertEqual(trial.search.low, study.search.low)
def test_materialize_trial_can_use_incumbent_floor_when_enabled(self) -> None:
with tempfile.TemporaryDirectory() as tmp:
tmp_path = Path(tmp)
study_path = _write_study_assets(tmp_path)
payload = json.loads(study_path.read_text(encoding="utf-8"))
payload["search"]["inherit_incumbent_floor"] = True
study_path.write_text(json.dumps(payload), encoding="utf-8")
study = load_study_spec(study_path)
store = StudyStore(tmp_path / ".aituner" / "studies")
store.init_study(spec_path=study_path, study=study)
state = StudyState(
study_id=study.study_id,
best_trial_id="trial-0001",
best_parallel_size=4,
best_sampling_u=0.375,
best_request_rate=3.0,
best_request_rate_per_gpu=0.75,
next_trial_index=2,
best_by_parallel_size={
"4": {
"trial_id": "trial-0001",
"parallel_size": 4,
"best_sampling_u": 0.375,
"best_request_rate": 3.0,
"best_request_rate_per_gpu": 0.75,
}
},
trials=[],
)
proposal = Proposal.from_dict(
{
"observation": "Obs",
"diagnosis": "Diag",
"config_patch": {"env_patch": {}, "flag_patch": {"tensor-parallel-size": 4}},
"expected_effects": ["raise rate"],
}
)
trial, _ = store.materialize_trial(study=study, state=state, proposal=proposal)
self.assertEqual(trial.search.low, 0.375)
self.assertTrue(trial.search.inherit_incumbent_floor)
def test_materialize_trial_resets_search_floor_for_new_parallel_group(self) -> None:
with tempfile.TemporaryDirectory() as tmp:
tmp_path = Path(tmp)