code: def test_get_params_drift_threshold():
      """Test get_params method of DriftThreshold class."""
      drift_threshold = DriftThreshold()
      dict = {
          "threshold": 0.6,
          "subsample": 1.0,
          "n_folds": 2,
          "stratify": True,
          "random_state": 1,
          "n_jobs": -1,
      }
      dict_get_params = drift_threshold.get_params()
      assert dict_get_params["threshold"] == dict["threshold"]
      assert dict_get_params["subsample"] == dict["subsample"]
      assert dict_get_params["n_folds"] == dict["n_folds"]
      assert dict_get_params["stratify"] == dict["stratify"]
      assert dict_get_params["random_state"] == dict["random_state"]
      assert dict_get_params["n_jobs"] == dict["n_jobs"]
  
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 2 for calling a global function with example usage: test_get_params_drift_threshold() without return types