code: def test_auto_wrap_output_keys_errors_with_incorrect_input():
      msg = "auto_wrap_output_keys must be None or a tuple of keys."
      with pytest.raises(ValueError, match=msg):
  
          class BadEstimator(
              _SetOutputMixin, auto_wrap_output_keys="bad_parameter"
          ):
              pass
  
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 11 for calling a global function with example usage: test_auto_wrap_output_keys_errors_with_incorrect_input() without return types