code: def test_fetch_compas():
      """Tests COMPAS Recidivism dataset shapes with various options."""
      compas = fetch_compas()
      assert len(compas) == 2
      assert compas.X.shape == (6167, 10)
      assert fetch_compas(binary_race=True).X.shape == (5273, 10)
      assert fetch_compas(numeric_only=True).X.shape == (6172, 8)
      assert fetch_compas(
          numeric_only=True, binary_race=True
      ).X.shape == (5278, 9)
  
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 15 for calling a global function with example usage: test_fetch_compas() without return types