| from __future__ import annotations | |
| class OptimalSolver: | |
| def oracle_reference(self, task_id: str) -> dict[str, float]: | |
| return { | |
| "static_workload": {"throughput_tps": 320.0, "slo_compliance_rate": 1.0, "cost_per_1k": 0.0015}, | |
| "bursty_workload": {"throughput_tps": 300.0, "slo_compliance_rate": 0.95, "cost_per_1k": 0.0018}, | |
| "adversarial_multitenant": {"throughput_tps": 260.0, "slo_compliance_rate": 0.92, "cost_per_1k": 0.0019}, | |
| }.get(task_id, {"throughput_tps": 250.0, "slo_compliance_rate": 0.9, "cost_per_1k": 0.0020}) | |