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Team3
2026-07-04 23:47:04 +02:00
parent 2d9ca00b47
commit 4105146c59
40 changed files with 2053 additions and 3208 deletions
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20
backend/tests/test_train.py
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@@ -65,17 +65,17 @@ def _trainer(tmp_path, runner, f0, **kw):
async def test_aco_konvergiert_auf_optimum(tmp_path):
"""Gepflanztes Optimum (FACTS_CHUNK_SUBS=6) wird gefunden und bestätigt übernommen;
"""Gepflanztes Optimum (GEN_PANEL=3) wird gefunden und bestätigt übernommen;
die Pheromon-Spur konzentriert sich dort."""
def bewertung(params):
return _metrics(note=9.5, dauer=7.0) if params.get("FACTS_CHUNK_SUBS") == 6 else _metrics()
return _metrics(note=9.5, dauer=7.0) if params.get("GEN_PANEL") == 3 else _metrics()
runner, f0 = _stub(bewertung)
t = _trainer(tmp_path, runner, f0, max_trials=120)
best = await t.run()
assert best.get("FACTS_CHUNK_SUBS") == 6
taus = t.pheromon["FACTS_CHUNK_SUBS"]
assert max(taus, key=lambda k: taus[k]) == "6"
assert best.get("GEN_PANEL") == 3
taus = t.pheromon["GEN_PANEL"]
assert max(taus, key=lambda k: taus[k]) == "3"
async def test_uebernahme_braucht_bestaetigung(tmp_path):
@@ -83,7 +83,7 @@ async def test_uebernahme_braucht_bestaetigung(tmp_path):
zustand = {"mal": 0}
def bewertung(params):
if params.get("FACTS_CHUNK_SUBS") == 6:
if params.get("GEN_PANEL") == 3:
zustand["mal"] += 1
return _metrics(note=9.5) if zustand["mal"] == 1 else _metrics(note=8.0)
return _metrics()
@@ -91,7 +91,7 @@ async def test_uebernahme_braucht_bestaetigung(tmp_path):
runner, f0 = _stub(bewertung)
t = _trainer(tmp_path, runner, f0, max_trials=40)
best = await t.run()
assert best.get("FACTS_CHUNK_SUBS") != 6
assert best.get("GEN_PANEL") != 3
async def test_f0_filter_verwirft_kaputte_kandidaten(tmp_path):
@@ -111,16 +111,16 @@ async def test_f0_filter_verwirft_kaputte_kandidaten(tmp_path):
async def test_resume_laedt_pheromon_und_cache(tmp_path):
def bewertung(params):
return _metrics(note=9.5) if params.get("FACTS_CHUNK_SUBS") == 6 else _metrics()
return _metrics(note=9.5) if params.get("GEN_PANEL") == 3 else _metrics()
runner, f0 = _stub(bewertung)
t = _trainer(tmp_path, runner, f0, max_trials=60)
await t.run()
best, tau = t.best_params, dict(t.pheromon["FACTS_CHUNK_SUBS"])
best, tau = t.best_params, dict(t.pheromon["GEN_PANEL"])
runner2, f02 = _stub(bewertung)
t2 = _trainer(tmp_path, runner2, f02, max_trials=0) # kein Budget: alles aus Persistenz
assert t2.best_params == best
assert t2.pheromon["FACTS_CHUNK_SUBS"] == tau
assert t2.pheromon["GEN_PANEL"] == tau
async def test_budget_stoppt(tmp_path):