code: def test_fit_transform_categorical(self):
      cat = dd.from_pandas(
          pd.Series(choices, dtype="category"), npartitions=4
      )
      result = dpp.LabelEncoder().fit_transform(cat)
      assert result.dtype == "int8"
      assert result.dtype == result.compute().dtype
  
imports: import dask
  import dask.array
  import dask.dataframe
  import numpy
  import pandas
  import pytest
  import sklearn.preprocessing
  from dask.array.utils import assert_eq
  import dask_ml.preprocessing
  from dask_ml.utils import assert_estimator_equal
label_desc: Use image node_id 5 for calling the TestLabelEncoder obj's underlying member method code with example usage: obj.test_fit_transform_categorical() without return types