code: def test_t_predict_nonconstant():
      """
      We should not really have predictions that are constant (should be some difference)...
      This captures bugs with the predict function not iterating forward
      """
      model = pf.GAS(data=data, ar=1, sc=1, family=pf.t())
      x = model.fit()
      predictions = model.predict(h=10, intervals=False)
      assert not np.all(predictions.values == predictions.values[0])
  
imports: import numpy
  import pyflux
label_desc: Use image node_id 15 for calling a global function with example usage: test_t_predict_nonconstant() without return types