code: def test_predict_is_length():
      """
      Tests that the prediction IS dataframe length is equal to the number of steps h
      """
      model = ARIMA(data=data, ar=2, ma=2, family=t())
      x = model.fit()
      assert model.predict_is(h=5).shape[0] == 5
  
imports: import numpy
  from pyflux.arma import ARIMA
  from pyflux.families import t
label_desc: Use image node_id 5 for calling a global function with example usage: test_predict_is_length() without return types