code: def test_predict_tune():
      ftdf = _ftdf()
      ftdf2 = _ftdf2()
      ft_clf = FirstColFtClassifier(autotuneDuration=5)
      ft_clf.fit(
          ftdf[["txt"]],
          ftdf["lbl"],
          X_validation=ftdf2[["txt"]],
          y_validation=ftdf2["lbl"],
      )
  
      assert ft_clf.predict([["woof woof"]])[0] == 0
      assert ft_clf.predict([["meow meow"]])[0] == 1
      assert ft_clf.predict([["meow"]])[0] == 1
      assert ft_clf.predict([["woof lol"]])[0] == 0
      assert ft_clf.predict([["meow lolz"]])[0] == 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 10 for calling a global function with example usage: test_predict_tune() without return types