code: def testCalculateMatrixDistanceAsNumPy(self):
      data = numpy.array([[0], [2], [4]])
      matrix = utils.calculate_distance_matrix(data)
      self.assertEqual(
          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 35 for calling the Test obj's underlying member method code with example usage: obj.testCalculateMatrixDistanceAsNumPy() without return types