code: def test_array_transform(self):
      a = dpp.PolynomialFeatures()
      b = spp.PolynomialFeatures()
  
      res_a = a.fit_transform(X)
      res_b = b.fit_transform(X.compute())
      assert_estimator_equal(a, b, exclude={"n_input_features_"})
      assert dask.is_dask_collection(res_a)
      assert_eq_ar(res_a, res_b)
  
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 TestPolynomialFeatures obj's underlying member method code with example usage: obj.test_array_transform() without return types