code: def test_fetch_meps(panel):
      """Tests MEPS datasets shapes with various options."""
      meps = fetch_meps(panel, accept_terms=True, dropna=False)
      meps_dropna = fetch_meps(panel, dropna=True)
      assert meps_dropna.X.shape[0] < meps.X.shape[0]
      meps_numeric = fetch_meps(
          panel, accept_terms=True, numeric_only=True
      )
      assert meps_numeric.X.shape[1] == 5
  
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 21 for calling a global function with example usage: test_fetch_meps(panel) without return types