code: def test_CategoricalSelector_2():
      """Assert that CategoricalSelector works as expected with threshold=5."""
      cs = CategoricalSelector(threshold=5)
      X_transformed = cs.transform(iris_data[0:16, :])
  
      assert_equal(X_transformed.shape[1], 1)
  
file_path: tpot/tests/feature_transformers_tests.py
imports: from sklearn.datasets import load_iris
  from tpot.builtins import CategoricalSelector, ContinuousSelector
  from nose.tools import assert_equal, assert_raises
label_desc: Use image node_id 2 for calling a global function with example usage: test_CategoricalSelector_2() without return types