code: def testEuclideanDistance(self):
      point1 = [1, 2]
      point2 = [1, 3]
      point3 = [4, 6]
  
      # Tests for euclidean_distance
      assert euclidean_distance(point1, point2) == 1
      assert euclidean_distance(point1, point1) == 0
      assert euclidean_distance(point1, point3) == 5
  
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 1 for calling the Test obj's underlying member method code with example usage: obj.testEuclideanDistance() without return types