code: def test_FeatureSetSelector_7():
      """Assert that the StackingEstimator works as expected when input X is np.array."""
      ds = FeatureSetSelector(
          subset_list="tests/subset_test.csv",
          sel_subset="test_subset_1",
      )
      ds.fit(test_X.values, y=None)
      transformed_X = ds.transform(test_X.values)
      str_feat_list = [str(i + 2) for i in ds.feat_list_idx]
  
      assert transformed_X.shape[0] == test_X.shape[0]
      assert transformed_X.shape[1] != test_X.shape[1]
      assert transformed_X.shape[1] == 5
      assert np.array_equal(
          transformed_X, test_X.values[:, ds.feat_list_idx]
      )
      assert np.array_equal(transformed_X, test_X[str_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 7 for calling a global function with example usage: test_FeatureSetSelector_7() without return types