code: def test_sparse2_csr():
      """Test fit_transform another sparse matrix including all zeros slice."""
      fit_then_transform(sparse2_csr_1h.todense(), sparse2_csr)
      fit_then_transform_dense(sparse2_csr_1h.todense(), sparse2_csr)
  
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 16 for calling a global function with example usage: test_sparse2_csr() without return types