code: def test_lfr_new_reproduce(new_lfr, new_lfr2, new_german):
      """Test that the new LearnedFairRepresentation is reproducible."""
      Xt = new_lfr.transform(new_german.X)
      yt = new_lfr.predict(new_german.X)
      Xt2, yt2 = new_lfr2
  
      assert np.allclose(Xt, Xt2)
      assert np.allclose(yt, yt2)
  
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 7 for calling a global function with example usage: test_lfr_new_reproduce(new_lfr, new_lfr2, new_german) without return types