def METHOD_NAME(dim):
    spread, priorpar, special_scale = 1.0, 0.0, 0.0
    scale = spread**2 * (dim + special_scale) - dim
    weights_mean = _weights_mean(dim, scale)
    weights_cov = _weights_cov(dim, priorpar, scale, spread)
    return weights_mean, weights_cov