code: def test_sklearn_compliance(self):
      for encoder_name in encoders.__all__:
          with self.subTest(encoder_name=encoder_name):
              encoder = getattr(encoders, encoder_name)()
              check_transformer_general(encoder_name, encoder)
              check_transformers_unfitted(encoder_name, encoder)
              check_n_features_in(encoder_name, encoder)
              train = pd.DataFrame({"city": ["chicago", "los angeles"]})
              y = pd.Series([1, 0])
              encoder.fit(train, y)
              self.assertTrue(hasattr(encoder, "feature_names_out_"))
              self.assertListEqual(encoder.feature_names_in_, ["city"])
              self.assertEqual(encoder.n_features_in_, 1)
              self.assertIsInstance(
                  encoder.get_feature_names_out(), np.ndarray
              )
              self.assertIsInstance(
                  encoder.get_feature_names_in(), list
              )
  
imports: import warnings
  from datetime import timedelta
  import numpy
  from numpy.testing import assert_array_equal
  import pandas
  import sklearn
  import tests.helpers
  from sklearn.utils.estimator_checks import check_transformer_general, check_transformers_unfitted, check_n_features_in
  from sklearn.compose import ColumnTransformer
  from unittest import TestCase
  from copy import deepcopy
  import category_encoders
label_desc: Use image node_id 13 for calling the TestEncoders obj's underlying member method code with example usage: obj.test_sklearn_compliance() without return types