code: def test_transform_array(self):
      a = dpp.PolynomialFeatures()
      b = spp.PolynomialFeatures()
  
      # pass numpy array to fit_transform
      res_a1 = a.fit_transform(X.compute())
      # pass dask array to fit_transform
      res_a2 = a.fit_transform(X).compute()
      res_b = b.fit_transform(X.compute())
      assert_eq_ar(res_a1, res_b)
      assert_eq_ar(res_a2, 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 4 for calling the TestPolynomialFeatures obj's underlying member method code with example usage: obj.test_transform_array() without return types