code: def test_raises_error_when_transforming_not_a_df(
      _not_a_df, df_datetime
  ):
      transformer = DatetimeFeatures()
      transformer.fit(df_datetime)
      # trying to transform not a df
      with pytest.raises(TypeError):
          transformer.transform(_not_a_df)
  
imports: import numpy
  import pandas
  import pytest
  from sklearn.exceptions import NotFittedError
  from sklearn.pipeline import Pipeline
  from feature_engine.datetime import DatetimeFeatures
  from feature_engine.datetime._datetime_constants import FEATURES_DEFAULT, FEATURES_SUFFIXES, FEATURES_SUPPORTED
label_desc: Use image node_id 9 for calling a global function with example usage: test_raises_error_when_transforming_not_a_df(_not_a_df, df_datetime) without return types