code: def test_FeatureSetSelector_3():
      """Assert that the StackingEstimator returns transformed X based on 2 subsets' names"""
      ds = FeatureSetSelector(
          subset_list="tests/subset_test.csv",
          sel_subset=["test_subset_1", "test_subset_2"],
      )
      ds.fit(test_X, y=None)
      transformed_X = ds.transform(test_X)
  
      assert transformed_X.shape[0] == test_X.shape[0]
      assert transformed_X.shape[1] != test_X.shape[1]
      assert transformed_X.shape[1] == 7
      assert np.array_equal(transformed_X, test_X[ds.feat_list].values)
  
file_path: tpot/tests/feature_set_selector_tests.py
imports: import numpy
  import pandas
  from tpot.builtins import FeatureSetSelector
  from nose.tools import assert_raises
label_desc: Use image node_id 3 for calling a global function with example usage: test_FeatureSetSelector_3() without return types