code: def test_inverse_transform(self):
      de = dpp.DummyEncoder()
      df = dd.from_pandas(
          pd.DataFrame(
              {
                  "A": np.arange(10),
                  "B": pd.Categorical(["a"] * 4 + ["b"] * 6),
              }
          ),
          npartitions=2,
      )
      de.fit(df)
      assert_eq_df(df, de.inverse_transform(de.transform(df)))
      assert_eq_df(df, de.inverse_transform(de.transform(df).values))
  
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 TestDummyEncoder obj's underlying member method code with example usage: obj.test_inverse_transform() without return types