code: def test_sync_fit_drift_threshold():
      """Test method sync_fit of drift_threshold module."""
      df_train = pd.read_csv("data_for_tests/clean_train.csv")
      df_test = pd.read_csv("data_for_tests/clean_test.csv")
      estimator = RandomForestClassifier(
          n_estimators=50,
          n_jobs=-1,
          max_features=1.0,
          min_samples_leaf=5,
          max_depth=5,
      )
  
      score = sync_fit(df_train, df_test, estimator)
      assert 0 <= score
  
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 8 for calling a global function with example usage: test_sync_fit_drift_threshold() without return types