code: def test_set_output_method(dataframe_lib):
      """Check that the output is a dataframe."""
      lib = pytest.importorskip(dataframe_lib)
  
      X = np.asarray([[1, 0, 3], [0, 0, 1]])
      est = EstimatorWithSetOutput().fit(X)
  
      # transform=None is a no-op
      est2 = est.set_output(transform=None)
      assert est2 is est
      X_trans_np = est2.transform(X)
      assert isinstance(X_trans_np, np.ndarray)
  
      est.set_output(transform=dataframe_lib)
  
      X_trans_pd = est.transform(X)
  
      assert isinstance(X_trans_pd, lib.DataFrame)
  
imports: import importlib
  from collections import namedtuple
  import numpy
  import pytest
  from numpy.testing import assert_array_equal
  from sklearn._config import config_context, get_config
  from sklearn.preprocessing import StandardScaler
  from sklearn.utils._set_output import ADAPTERS_MANAGER, ContainerAdapterProtocol, _get_output_config, _safe_set_output, _SetOutputMixin, _wrap_data_with_container, check_library_installed
  from sklearn.utils.fixes import CSR_CONTAINERS
label_desc: Use image node_id 7 for calling a global function with example usage: test_set_output_method(dataframe_lib) without return types