code: def test_numeric_only_warnings():
      with pytest.raises(UserWarning):
          basic(numeric_only=True)  # prot_attr has non-numeric
      with pytest.raises(UserWarning):
          basic(numeric_only=True, prot_attr="y", target="Z")
  
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 8 for calling a global function with example usage: test_numeric_only_warnings() without return types