code: def testVectorLength(self):
      assert 10 == norm_vector([6, 8])
      assert self.float_comparasion(
          4.219, norm_vector([2.2, 3.6]), 0.001
      )
      assert self.float_comparasion(
          5.280, norm_vector([-4.8, -2.2]), 0.001
      )
  
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 11 for calling the Test obj's underlying member method code with example usage: obj.testVectorLength() without return types