code: def test_predict_intervals_bbvi():
      model = pf.GARCH(data=data, q=1, p=1)
      x = model.fit("BBVI", iterations=100)
      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
  import pandas
  from pandas.io.data import DataReader
  from datetime import datetime
label_desc: Use image node_id 18 for calling a global function with example usage: test_predict_intervals_bbvi() without return types