code: def old_german():
      german = GermanDataset(
          categorical_features=["foreign_worker"],
          features_to_keep=[
              "month",
              "credit_amount",
              "investment_as_income_percentage",
              "residence_since",
              "age",
              "number_of_credits",
              "people_liable_for",
              "sex",
          ],
      )
      german.features = np.concatenate(
          (german.features[:, :-3], german.features[:, -2:-4:-1]),
          axis=1,
      )
      german.feature_names = german.feature_names[:-3] + [
          "foreign_worker",
          "sex",
      ]
      german.labels[german.labels == 2] = 0
      return german
  
file_path: AIF360/tests/sklearn/conftest.py
imports: import numpy
  import pytest
  from aif360.datasets import GermanDataset, AdultDataset
  from aif360.sklearn.datasets import fetch_german, fetch_adult
label_desc: Use image node_id 1 for calling a global function with example usage: old_german() and returns: german