code: def test_data_type_consistency(self):
      X = np.random.randint(3, 6, (3, 4))
      Y = OneHotEncoder().fit_transform(X)
      self.assertFalse(sparse.issparse(Y))
  
      X = sparse.csc_matrix(
          ([3, 6, 4, 5], ([0, 1, 2, 1], [3, 2, 1, 0])), shape=(3, 4)
      )
      Y = OneHotEncoder().fit_transform(X)
      self.assertTrue(sparse.issparse(Y))
  
file_path: auto-sklearn/test/test_pipeline/components/data_preprocessing/test_one_hot_encoding.py
imports: import numpy
  from scipy import sparse
  from autosklearn.pipeline.components.data_preprocessing.categorical_encoding.no_encoding import NoEncoding
  from autosklearn.pipeline.components.data_preprocessing.categorical_encoding.one_hot_encoding import OneHotEncoder
  from autosklearn.pipeline.util import _test_preprocessing
  import unittest
label_desc: Use image node_id 2 for calling the OneHotEncoderTest obj's underlying member method code with example usage: obj.test_data_type_consistency() without return types