code: def test_inverse_transform(self):
      a = dpp.StandardScaler()
      result = a.inverse_transform(a.fit_transform(X))
      assert dask.is_dask_collection(result)
      assert_eq_ar(result, X)
  
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 TestStandardScaler obj's underlying member method code with example usage: obj.test_inverse_transform() without return types