Function _sample_weight

python/openquant/feature_diagnostics.py:51–59

(weights: Sequence[float] | None, n_rows: int)

def _sample_weight(weights: Sequence[float] | None, n_rows: int) -> list[float] | None:
    if weights is None:
        return None
    out = [float(v) for v in weights]
    if len(out) != n_rows:
        raise ValueError(
            f"sample_weight/X length mismatch: {len(out)} vs {n_rows}"
        )
    return out


def _build_intervals(