code: def test_euclidian_dissim(self):
      a = np.array([[0.0, 1.0, 2.0, 0.0, 1.0, 2.0]])
      b = np.array([[3.0, 1.0, 3.0, 0.0, 1.0, 0.0]])
      self.assertEqual(14.0, euclidean_dissim(a, b))
  
      a = np.array([[np.NaN, 1.0, 2.0, 0.0, 1.0, 2.0]])
      b = np.array([[3.0, 1.0, 3.0, 0.0, 1.0, 0.0]])
      with self.assertRaises(ValueError):
          euclidean_dissim(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 4 for calling the TestDissimilarityMeasures obj's underlying member method code with example usage: obj.test_euclidian_dissim() without return types