code: def test_transform_raises(self):
      de = dpp.OrdinalEncoder()
      de.fit(dummy)
      with pytest.raises(ValueError) as rec:
          de.transform(dummy.drop("B", axis="columns"))
      assert rec.match("Columns of 'X' do not match the training")
  
imports: from copy import copy
  import dask
  import dask.array
  import dask.dataframe
  import numpy
  import pandas
  import pandas.testing
  import pytest
  import sklearn.preprocessing
  from dask import compute
  from dask.array.utils import assert_eq
  from dask.dataframe.utils import assert_eq
  from pandas.api.types import is_categorical_dtype, is_object_dtype
  from sklearn.exceptions import NotFittedError
  import dask_ml.preprocessing
  from dask_ml.datasets import make_classification
  from dask_ml.utils import assert_estimator_equal
label_desc: Use image node_id 3 for calling the TestOrdinalEncoder obj's underlying member method code with example usage: obj.test_transform_raises() without return types