code: def test_fit_drift_threshold():
      """Test fit method of DriftThreshold class."""
      df_train = pd.read_csv("data_for_tests/clean_train.csv")
      df_test = pd.read_csv("data_for_tests/clean_test.csv")
      drift_threshold = DriftThreshold()
      drift_threshold.fit(df_train, df_test)
      assert drift_threshold._DriftThreshold__fitOK
  
file_path: MLBox/tests/test_drift_threshold.py
imports: import pytest
  import pandas
  from mlbox.preprocessing.drift import DriftThreshold
  from mlbox.preprocessing.drift import sync_fit
  from sklearn.tree import DecisionTreeClassifier
  from sklearn.ensemble import RandomForestClassifier
label_desc: Use image node_id 4 for calling a global function with example usage: test_fit_drift_threshold() without return types