code: def test_refit_on_new_data():
      """Test that OneHotEncoder can refit on two data sets."""
      ohe = OneHotEncoder()
      ohe.fit(dense1)
      ohe.fit(dense2)
  
imports: import numpy
  import scipy.sparse
  from numpy.testing import assert_array_almost_equal
  from sklearn.datasets import load_iris, load_boston
  from sklearn.linear_model import LinearRegression
  from sklearn.pipeline import make_pipeline
  from sklearn.model_selection import cross_val_score, KFold
  from nose.tools import assert_equal
  from tpot.builtins import OneHotEncoder, auto_select_categorical_features, _transform_selected
label_desc: Use image node_id 21 for calling a global function with example usage: test_refit_on_new_data() without return types