code: def test_lfr_old_new(old_lfr2, new_lfr2):
      """Test that the transformations of the old and new LFR match."""
      Xt, yt = new_lfr2
      assert np.allclose(old_lfr2.features, Xt)
      assert np.allclose(old_lfr2.labels.flatten(), yt)
  
imports: import numpy
  import pandas
  import pytest
  from sklearn.datasets import make_classification
  from sklearn.linear_model import LogisticRegression
  from sklearn.model_selection import GridSearchCV
  from sklearn.pipeline import make_pipeline
  from aif360.algorithms.preprocessing import LFR
  from aif360.sklearn.preprocessing import LearnedFairRepresentations
  from aif360.sklearn.metrics import make_scorer, statistical_parity_difference
label_desc: Use image node_id 9 for calling a global function with example usage: test_lfr_old_new(old_lfr2, new_lfr2) without return types