code: def testFloatEuclideanDistance(self):
      assert euclidean_distance(0.5, 1.5) == 1
      assert self.float_comparasion(euclidean_distance(1.6, 1.4), 0.2)
      assert self.float_comparasion(
          euclidean_distance(4.23, 2.14), 2.09
      )
  
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 2 for calling the Test obj's underlying member method code with example usage: obj.testFloatEuclideanDistance() without return types