code: def test_preserve_column_order(self):
      binary_cat_example = pd.DataFrame(
          {
              "Trend": [
                  "UP",
                  "UP",
                  "DOWN",
                  "FLAT",
                  "DOWN",
                  "UP",
                  "DOWN",
                  "FLAT",
                  "FLAT",
                  "FLAT",
              ],
              "target": [1, 1, 0, 0, 1, 0, 0, 0, 1, 1],
          },
          columns=["Trend", "target"],
      )
  
      for encoder_name in encoders.__all__:
          with self.subTest(encoder_name=encoder_name):
              encoder = getattr(encoders, encoder_name)()
              result = encoder.fit_transform(
                  binary_cat_example, binary_cat_example["target"]
              )
              columns = result.columns
  
              self.assertTrue(
                  "target" in columns[-1],
                  "Target must be the last column as in the input. This is a tricky test because 'y' is named 'target' as well.",
              )
  
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 21 for calling the TestEncoders obj's underlying member method code with example usage: obj.test_preserve_column_order() without return types