| """Shared, explicit experiment identities; a study is not Table-1 calibration.""" |
| STUDY_SAMPLES = (16, 32, 64, 128, 256, 512, 1024, 2048) |
| FIGURE6_SAMPLES = (32, 64, 128, 256, 512, 1024, 2048) |
| SLT_BUDGETS = (0, 2, 4, 8) |
|
|
|
|
| def calibration_identity(*, smoke: bool, samples: int, study_samples: bool, |
| budget: int, ablation: str | None) -> dict: |
| if samples <= 0 or budget not in SLT_BUDGETS: |
| raise ValueError("invalid sample count or SLT budget") |
| expected_budget = 0 if ablation == "no_slt" else 4 |
| studies = [] |
| if study_samples: |
| if samples not in STUDY_SAMPLES: |
| raise ValueError("unsupported calibration-size study") |
| studies.append("calibration_size") |
| if budget != expected_budget: |
| studies.append("slt_budget") |
| paper = not smoke and not studies and samples == 1024 |
| return dict(paper_calibration=paper, study={"axes": studies, "samples": samples, |
| "slt_budget": budget} if studies else None, |
| run_kind="smoke" if smoke else "study" if studies else "paper_profile") |
|
|
