code: def test_raises(self):
      ce = dpp.Categorizer()
      X = np.array([[0, 0], [1, 1]])
      with pytest.raises(TypeError):
          ce.fit(X)
  
      X = da.from_array(X, chunks=(2, 2))
      with pytest.raises(TypeError):
          ce.fit(X)
  
      with pytest.raises(NotFittedError):
          ce.transform(raw)
  
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 7 for calling the TestCategorizer obj's underlying member method code with example usage: obj.test_raises() without return types