code: def test_causalml_make_uplift_classification_smoke(self):
      from causalml.dataset import make_uplift_classification
      import causalml
  
      print("Causalml library smoke test")
      print("Version of causalml: {0}".format(causalml.__version__))
      n_samples = 500
      seed = 12345
  
      train, x_names = make_uplift_classification(
          n_samples=n_samples,
          treatment_name=["control", "treatment"],
          n_classification_features=10,
          n_classification_informative=10,
          random_seed=seed,
      )
      assert not train.empty
      assert x_names
  
imports: import sys
  import unittest
label_desc: Use image node_id 1 for calling the TestCausalmlMakeUpliftClassificationIsWorking obj's underlying member method code with example usage: obj.test_causalml_make_uplift_classification_smoke() without return types