code: def test_if_require_dense_is_correctly_set(self):
      values = [
          True,
          False,
          [True, False],
          [True, True],
          [False, False],
          [False, True],
      ]
      expected_values = [
          [True, True],
          [False, False],
          [True, False],
          [True, True],
          [False, False],
          [False, True],
      ]
  
      for value, expected_value in zip(values, expected_values):
          classifier = ProblemTransformationBase(
              classifier=None, require_dense=value
          )
          self.assertEqual(classifier.require_dense, expected_value)
  
imports: import itertools
  import unittest
  import numpy
  import scipy.sparse
  from builtins import range
  from builtins import zip
  from sklearn.base import BaseEstimator
  from .test_utils import SPARSE_MATRIX_FORMATS
  from ..base import ProblemTransformationBase
label_desc: Use image node_id 5 for calling the ProblemTransformationBaseTest obj's underlying member method code with example usage: obj.test_if_require_dense_is_correctly_set() without return types