code: def test_check_drift(tmpdir):
      # loading dataset
      data = pycaret.datasets.get_data("blood")
      experiment = pycaret.classification.ClassificationExperiment()
  
      # initialize setup
      experiment.setup(
          data,
          target="Class",
          html=False,
          n_jobs=1,
      )
  
      # generate drift report
      file = experiment.check_drift()
      assert os.path.exists(file)
  
imports: import os
  import pytest
  from sklearn.model_selection import train_test_split
  import pycaret.classification
  import pycaret.datasets
label_desc: Use image node_id 1 for calling a global function with example usage: test_check_drift(tmpdir) without return types