code: def test_data_old_new(old_german, new_german):
      """Test that the old and new versions of the dataset match."""
      assert (old_german.features == new_german.X).all(None)
      assert (old_german.labels.flatten() == new_german.y).all()
  
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 5 for calling a global function with example usage: test_data_old_new(old_german, new_german) without return types