code: def test_series_predict_tune():
      ftdf = _ftdf()
      ftdf2 = _ftdf2()
      ft_clf = SeriesFtClassifier(autotuneDuration=5)
      ft_clf.fit(ftdf["txt"], ftdf["lbl"], ftdf2["txt"], ftdf2["lbl"])
  
      preds = ft_clf.predict(ftdf["txt"])
      assert preds[0] == 0
      assert preds[1] == 1
  
imports: import pytest
  import pandas
  from sklearn.model_selection import cross_val_score
  from skift import FirstColFtClassifier, IdxBasedFtClassifier, ColLblBasedFtClassifier, FirstObjFtClassifier, SeriesFtClassifier
label_desc: Use image node_id 5 for calling a global function with example usage: test_series_predict_tune() without return types