code: def old_lfr2(old_german):
      lfr = LFR(
          unprivileged_groups=[{"age": 0}],
          privileged_groups=[{"age": 1}],
          seed=123,
      )
      return lfr.fit_transform(old_german, maxfun=3e4)
  
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 2 for calling a global function with example usage: old_lfr2(old_german) and returns: lfr