code: def test__safe_set_output_error():
      """Check transform with invalid config."""
      X = np.asarray([[1, 0, 3], [0, 0, 1]])
  
      est = EstimatorWithSetOutput()
      _safe_set_output(est, 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 6 for calling a global function with example usage: test__safe_set_output_error() without return types