code: def test_extract_datetime_features_with_default_options(
      df_datetime, df_datetime_transformed
  ):
      transformer = DatetimeFeatures()
      X = transformer.fit_transform(df_datetime)
      pd.testing.assert_frame_equal(
          X,
          df_datetime_transformed[
              vars_non_dt
              + [
                  var + feat
                  for var in vars_dt
                  for feat in feat_names_default
              ]
          ],
      )
  
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 13 for calling a global function with example usage: test_extract_datetime_features_with_default_options(df_datetime, df_datetime_transformed) without return types