code: def test_col_lbl():
      ftdf = _ftdf()
      ft_clf = ColLblBasedFtClassifier("txt", epoch=14)
      ft_clf.fit(ftdf[["txt"]], ftdf["lbl"])
  
      assert (
          ft_clf.predict(
              pd.DataFrame([["woof woof"]], columns=["txt"])
          )[0]
          == 0
      )
      assert (
          ft_clf.predict(
              pd.DataFrame([["meow meow"]], columns=["txt"])
          )[0]
          == 1
      )
      assert (
          ft_clf.predict(pd.DataFrame([["meow"]], columns=["txt"]))[0]
          == 1
      )
      assert (
          ft_clf.predict(pd.DataFrame([["woof lol"]], columns=["txt"]))[
              0
          ]
          == 0
      )
      assert (
          ft_clf.predict(
              pd.DataFrame([["meow lolz"]], columns=["txt"])
          )[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 16 for calling a global function with example usage: test_col_lbl() without return types