code: def test_smoke(self):
      # Regression test for Issue #898
      X = pd.DataFrame.from_dict(
          {"alpha": ["a", "a", "b"], "beta": [1, 2, 1]}
      )
      sf = np.asarray(["C", "D", "C"])
      y = np.asarray([0, 0, 1])
  
      (
          X_update,
          y_update,
          sf_update,
          cf_update,
      ) = iv._validate_and_reformat_input(
          X=X, y=y, sensitive_features=sf
      )
      assert isinstance(X_update, pd.DataFrame)
      assert isinstance(y_update, pd.Series)
      assert isinstance(sf_update, pd.Series)
      assert cf_update is None
  
      assert np.array_equal(X, X_update)
      assert np.array_equal(y, y_update)
      assert np.array_equal(sf, sf_update)
  
imports: import numpy
  import pandas
  import fairlearn.utils._input_validation
label_desc: Use image node_id 1 for calling the TestValidateAndReformatInput obj's underlying member method code with example usage: obj.test_smoke() without return types