code: def test_check_estimator_from_feature_engine(estimator):
      return check_feature_engine_estimator(estimator)
  
imports: import pytest
  from sklearn.utils.estimator_checks import check_estimator
  from feature_engine.transformation import ArcsinTransformer, BoxCoxTransformer, LogCpTransformer, LogTransformer, PowerTransformer, ReciprocalTransformer, YeoJohnsonTransformer
  from tests.estimator_checks.estimator_checks import check_feature_engine_estimator
label_desc: Use image node_id 2 for calling a global function with example usage: test_check_estimator_from_feature_engine(estimator) and returns: check_feature_engine_estimator