code: def test_jaccard_dissim_binary(self):
      a = np.array([[0, 1, 1, 0, 1, 1]])
      b = np.array([[0, 1, 1, 0, 1, 0]])
      self.assertEqual(0.25, jaccard_dissim_binary(a, b))
  
      a = np.array([[0, 1, 1, 0, 1, 1]])
      b = np.array([[0, np.NaN, 1, 0, 1, 0]])
      with self.assertRaises(ValueError):
          jaccard_dissim_binary(a, b)
  
      # test where values are non binary but also not having np.NaN
      a = np.array([[0, 1, 2, 0, 1, 2]])
      b = np.array([[0, 1, 2, 0, 1, 0]])
      with self.assertRaises(ValueError):
          jaccard_dissim_binary(a, b)
  
      # test for dissimilarity = 0: sets are the same
      a = np.array([[1, 1, 0, 1, 1, 0]])
      b = np.array([[1, 1, 0, 1, 1, 0]])
      self.assertEqual(0, jaccard_dissim_binary(a, b))
  
      # test for dissimilarity = 1: sets are completely different
      a = np.array([[0, 0, 1, 0, 0, 1]])
      b = np.array([[1, 1, 0, 1, 1, 0]])
      self.assertEqual(1, jaccard_dissim_binary(a, b))
  
file_path: kmodes/kmodes/util/tests/test_dissim.py
imports: import unittest
  import numpy
  from sklearn.utils._testing import assert_array_equal
  from kmodes.util.dissim import matching_dissim, euclidean_dissim, ng_dissim
  from kmodes.util.dissim import jaccard_dissim_binary, jaccard_dissim_label
label_desc: Use image node_id 2 for calling the TestDissimilarityMeasures obj's underlying member method code with example usage: obj.test_jaccard_dissim_binary() without return types