code: def test_fit_transform():
      """Test fit transform method of Drift_thresholder class."""
      drift_thresholder = Drift_thresholder()
      reader = Reader(sep=",")
      dict = reader.train_test_split(
          Lpath=["data_for_tests/train.csv"], target_name="Survived"
      )
      drift_thresholder.fit_transform(dict)
      assert not drift_thresholder._Drift_thresholder__fitOK
      dict = reader.train_test_split(
          Lpath=["data_for_tests/train.csv", "data_for_tests/test.csv"],
          target_name="Survived",
      )
      drift_thresholder.fit_transform(dict)
      assert drift_thresholder._Drift_thresholder__fitOK
      dict = reader.train_test_split(
          Lpath=[
              "data_for_tests/inplace_train.csv",
              "data_for_tests/inplace_test.csv",
          ],
          target_name="Survived",
      )
      drift_thresholder.inplace = True
      drift_thresholder.fit_transform(dict)
      assert drift_thresholder._Drift_thresholder__fitOK
  
imports: import pytest
  from mlbox.preprocessing.drift_thresholder import Drift_thresholder
  from mlbox.preprocessing.reader import Reader
label_desc: Use image node_id 2 for calling a global function with example usage: test_fit_transform() without return types