code: def test_lfr_pipe(new_german):
      """Test that the new LFR works as a pre-processing step in a pipeline."""
      X, y = new_german
      lfr = LearnedFairRepresentations("age", random_state=123)
      lr = LogisticRegression(solver="lbfgs", random_state=123)
      pipe = make_pipeline(lfr, lr)
  
      pipe.fit(X, y)
  
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 12 for calling a global function with example usage: test_lfr_pipe(new_german) without return types