code: def test_sklearn_scitype(estimator):
      """Test that sklearn_scitype returns the correct scitype string."""
      scitype = sklearn_scitype(estimator)
      expected_scitype = CORRECT_SCITYPES[estimator]
      msg = (
          f"is_sklearn_estimator returns the incorrect scitype string for "
          f'"{estimator.__name__}". Should be {expected_scitype}, but '
          f'{scitype}" was returned.'
      )
      assert scitype == expected_scitype, msg
  
file_path: sktime/sktime/utils/sklearn/tests/test_sklearn_typing.py
imports: import pytest
  from sklearn.cluster import KMeans
  from sklearn.neighbors import KNeighborsClassifier, KNeighborsRegressor
  from sklearn.preprocessing import StandardScaler
  from sktime.classification.feature_based import SummaryClassifier
  from sktime.forecasting.naive import NaiveForecaster
  from sktime.utils.sklearn import is_sklearn_estimator, sklearn_scitype
label_desc: Use image node_id 3 for calling a global function with example usage: test_sklearn_scitype(estimator) without return types