code: def test_configured_dimensionality(self):
      Nsamples = 10
      Nt = 100
      X, y = load_driftbif(Nsamples, Nt, m=3)
      self.assertEqual(X.shape, (3 * Nt * Nsamples, 4))
  
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 5 for calling the LoadDriftBifTestCase obj's underlying member method code with example usage: obj.test_configured_dimensionality() without return types