code: def test_mismatched_indexes(self):
      df = pd.DataFrame({"x": ["a", "b", "b"]}, index=[7, 5, 9])
      y_list = [1, 0, 1]
      for encoder_name in encoders.__all__:
          with self.subTest(encoder_name=encoder_name):
              enc = getattr(encoders, encoder_name)()
              out = enc.fit_transform(df, y_list)
              self.assertFalse(out.isna().any().any())
  
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 41 for calling the TestEncoders obj's underlying member method code with example usage: obj.test_mismatched_indexes() without return types