code: def testCalculateMatrixDistance(self):
      data = [[0], [2], [4]]
      matrix = utils.calculate_distance_matrix(data)
      assert matrix == [
          [0.0, 2.0, 4.0],
          [2.0, 0.0, 2.0],
          [4.0, 2.0, 0.0],
      ]
  
imports: import unittest
  import matplotlib
  import numpy
  from pyclustering.cluster.kmeans import kmeans
  from pyclustering.cluster.center_initializer import kmeans_plusplus_initializer
  import pyclustering.utils
  from pyclustering.utils import euclidean_distance
  from pyclustering.utils import average_neighbor_distance
  from pyclustering.utils import read_sample
  from pyclustering.utils import data_corners
  from pyclustering.utils import norm_vector
  from pyclustering.utils import rgb2gray
  from pyclustering.utils import extract_number_oscillations
  from pyclustering.utils import draw_clusters
  from pyclustering.samples.definitions import SIMPLE_SAMPLES, IMAGE_SIMPLE_SAMPLES
label_desc: Use image node_id 34 for calling the Test obj's underlying member method code with example usage: obj.testCalculateMatrixDistance() without return types