code: def test_dask_matches(self):
      with dask.config.set(scheduler="single-threaded"):
          for n_jobs in [-1]:
              X, y = make_classification(random_state=42)
              a = TPOTClassifier(
                  generations=0,
                  population_size=5,
                  cv=3,
                  random_state=42,
                  n_jobs=n_jobs,
                  use_dask=False,
                  verbosity=3,
              )
              b = TPOTClassifier(
                  generations=0,
                  population_size=5,
                  cv=3,
                  random_state=42,
                  n_jobs=n_jobs,
                  use_dask=True,
                  verbosity=3,
              )
              a.fit(X, y)
              b.fit(X, y)
  
              self.assertEqual(a.score(X, y), b.score(X, y))
              self.assertEqual(
                  a.pareto_front_fitted_pipelines_.keys(),
                  b.pareto_front_fitted_pipelines_.keys(),
              )
              self.assertEqual(
                  a.evaluated_individuals_, b.evaluated_individuals_
              )
  
imports: import unittest
  import nose
  from sklearn.datasets import make_classification
  from tpot import TPOTClassifier
label_desc: Use image node_id 1 for calling the TestDaskMatches obj's underlying member method code with example usage: obj.test_dask_matches() without return types