code: def test_predict_proba_on_str_arr():
      ftdf = _ftdf()
      ft_clf = FirstColFtClassifier()
      ft_clf.fit(ftdf[["txt"]], ftdf["lbl"])
  
      res = ft_clf.predict_proba_on_str_arr(["woof woof"])[0]
      assert res[0] > res[1]
      res = ft_clf.predict_proba_on_str_arr(["meow meow"])[0]
      assert res[1] > res[0]
  
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 13 for calling a global function with example usage: test_predict_proba_on_str_arr() without return types