code: def test_dimensionality(self):
      ds = velocity(tau=1.0 / 0.3)
      Nt = 10
      v = ds.simulate(Nt)
      self.assertEqual(
          v.shape,
          (Nt, 2),
          "The default configuration should return velocities "
          "from a two-dimensional dissipative soliton.",
      )
  
      v = ds.simulate(Nt, v0=np.zeros(3))
      self.assertEqual(
          v.shape,
          (Nt, 3),
          "The returned vector should reflect the dimension of the initial condition.",
      )
  
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 DriftBifSimlationTestCase obj's underlying member method code with example usage: obj.test_dimensionality() without return types