code: def test_relevant_feature_extraction(self):
      df, y = load_driftbif(100, 10, classification=False)
  
      df["id"] = df["id"].astype("str")
      y.index = y.index.astype("str")
  
      X = extract_relevant_features(
          df,
          y,
          column_id="id",
          column_sort="time",
          column_kind="dimension",
          column_value="value",
      )
  
      self.assertGreater(len(X.columns), 10)
  
imports: import unittest
  import dask.dataframe
  import numpy
  import pandas
  from tsfresh import extract_features, extract_relevant_features
  from tsfresh.examples.driftbif_simulation import load_driftbif, sample_tau, velocity
  from tsfresh.feature_extraction import MinimalFCParameters
label_desc: Use image node_id 6 for calling the DriftBifSimlationTestCase obj's underlying member method code with example usage: obj.test_relevant_feature_extraction() without return types