code: def test_set_output_method_error():
      """Check transform fails with invalid transform."""
  
      X = np.asarray([[1, 0, 3], [0, 0, 1]])
      est = EstimatorWithSetOutput().fit(X)
      est.set_output(transform="bad")
  
      msg = "output config must be in"
      with pytest.raises(ValueError, match=msg):
          est.transform(X)
  
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 8 for calling a global function with example usage: test_set_output_method_error() without return types