code: def test_multilabel_basic():
      """Tests returning a multilabel target on a toy example."""
      multilabel = basic(target=["X2", "y"])
      assert isinstance(multilabel.y, pd.DataFrame)
      assert isinstance(multilabel.X, pd.DataFrame)
      assert multilabel.y.shape == (3, 2)
      assert multilabel.X.shape == (3, 2)
  
imports: from functools import partial
  import numpy
  from numpy.testing import assert_array_equal
  import pandas
  from pandas.api.types import is_numeric_dtype
  from pandas.testing import assert_frame_equal
  import pytest
  from sklearn.compose import make_column_transformer
  from sklearn.preprocessing import OneHotEncoder, minmax_scale
  from aif360.datasets import AdultDataset, GermanDataset, CompasDataset, LawSchoolGPADataset, MEPSDataset19, MEPSDataset20, MEPSDataset21
  from aif360.sklearn.datasets import standardize_dataset, NumericConversionWarning, fetch_adult, fetch_bank, fetch_german, fetch_compas, fetch_lawschool_gpa, fetch_meps
label_desc: Use image node_id 2 for calling a global function with example usage: test_multilabel_basic() without return types