code: def test_laplace_predict_intervals_mh():
      """
      Tests prediction intervals are ordered correctly
      """
      model = pf.GASLLT(data=data, family=pf.Laplace())
      x = model.fit("M-H", nsims=400)
      predictions = model.predict(h=10, intervals=True)
  
      assert np.all(
          predictions["99% Prediction Interval"].values
          > predictions["95% Prediction Interval"].values
      )
      assert np.all(
          predictions["95% Prediction Interval"].values
          > predictions["5% Prediction Interval"].values
      )
      assert np.all(
          predictions["5% Prediction Interval"].values
          > predictions["1% Prediction Interval"].values
      )
  
imports: import numpy
  import pyflux
label_desc: Use image node_id 18 for calling a global function with example usage: test_laplace_predict_intervals_mh() without return types