def METHOD_NAME(
    y_pred: npt.NDArray[np.float32], y_true: npt.NDArray[np.float32]
) -> npt.NDArray[np.float32]:
    """
    Computes the symmetric mean absolute percentage error of the predictions.
    Args:
        y_pred: Array of shape [N, D] with the predictions (N: number of elements, D: number of
            metrics).
        y_true: Array of shape [N, D] with the true metrics.
    Returns:
        Array of shape [D] with the average sMAPE for each metric.
    """
    num = np.abs(y_pred - y_true)
    denom = (np.abs(y_pred) + np.abs(y_true)) / 2
    return 100 * (num / denom).mean(0)