def once(size1):
    g = random_state.multivariate_normal(means, cv, size1).T
    g = g.reshape(len(means), (- 1))
    mask = (g >= mins[:, None]).all(axis=0)
    mask &= (g <= maxes[:, None]).all(axis=0)
    return g[:, mask]
def once(size1):
    g = random_state.multivariate_normal(means, cv, size1).T
    g = g.reshape(len(means), (- 1))
    mask = (g >= mins[:, None]).all(axis=0)
    mask &= (g <= maxes[:, None]).all(axis=0)
    return g[:, mask]