"""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")