code: def testClusterAllocationSampleSimple2UserDefinedNumPyByCore(self):
      data = numpy.array(read_sample(SIMPLE_SAMPLES.SAMPLE_SIMPLE2))
      centers = numpy.array([[3.5, 4.8], [6.9, 7], [7.5, 0.5]])
      metric = distance_metric(
          type_metric.USER_DEFINED,
          func=distance_metric(type_metric.EUCLIDEAN),
      )
      KmeansTestTemplates.templateLengthProcessData(
          data, centers, [10, 5, 8], True, metric=metric
      )
  
imports: import unittest
  import numpy
  import matplotlib
  from pyclustering.cluster.tests.kmeans_templates import KmeansTestTemplates
  from pyclustering.cluster.kmeans import kmeans
  from pyclustering.samples.definitions import SIMPLE_SAMPLES
  from pyclustering.core.tests import remove_library
  from pyclustering.utils import read_sample
  from pyclustering.utils.metric import distance_metric, type_metric
label_desc: Use image node_id 16 for calling the KmeansIntegrationTest obj's underlying member method code with example usage: obj.testClusterAllocationSampleSimple2UserDefinedNumPyByCore() without return types