code: def test_types(self, type_, kwargs):
      X = np.random.uniform(size=(1000, 3))
      dX = type_(X, **kwargs)
      qt = spp.QuantileTransformer()
      qt.fit(X)
      dqt = dpp.QuantileTransformer()
      dqt.fit(dX)
  
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 2 for calling the TestQuantileTransformer obj's underlying member method code with example usage: obj.test_types(type_, kwargs) without return types