code: def test_lfr_old_reproduce(old_lfr, old_lfr2, old_german):
      """Test that the old LFR is reproducible."""
      old_lfr = old_lfr.transform(old_german)
      assert np.allclose(old_lfr.features, old_lfr2.features)
      assert np.allclose(old_lfr.labels, old_lfr2.labels)
  
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 6 for calling a global function with example usage: test_lfr_old_reproduce(old_lfr, old_lfr2, old_german) without return types