code: def test_given_categories(self):
      cats = ["a", "b", "c", "d"]
      ce = dpp.Categorizer(categories={"A": (cats, True)})
      trn = ce.fit_transform(raw)
      assert trn["A"].dtype == "category"
      tm.assert_index_equal(trn["A"].cat.categories, pd.Index(cats))
      assert all(trn["A"].cat.categories == cats)
      assert trn["A"].cat.ordered
  
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 2 for calling the TestCategorizer obj's underlying member method code with example usage: obj.test_given_categories() without return types