code: def templateClusterAllocation(
      self,
      path,
      cluster_sizes,
      number_clusters,
      branching_factor=50,
      max_node_entries=100,
      initial_diameter=0.5,
      type_measurement=measurement_type.CENTROID_EUCLIDEAN_DISTANCE,
      entry_size_limit=200,
      diameter_multiplier=1.5,
  ):
      sample = read_sample(path)
  
      birch_instance = birch(
          sample,
          number_clusters,
          branching_factor,
          max_node_entries,
          initial_diameter,
          type_measurement,
          entry_size_limit,
          diameter_multiplier,
      )
      birch_instance.process()
  
      clusters = birch_instance.get_clusters()
      cf_clusters = birch_instance.get_cf_cluster()
      cf_entries = birch_instance.get_cf_entries()
  
      self.assertEqual(
          birch_instance.get_cluster_encoding(),
          type_encoding.CLUSTER_INDEX_LIST_SEPARATION,
      )
      self.assertEqual(number_clusters, len(clusters))
      self.assertEqual(number_clusters, len(cf_clusters))
      self.assertGreater(len(cf_entries), 0)
      self.assertLessEqual(len(cf_entries), entry_size_limit)
  
      obtained_cluster_sizes = [len(cluster) for cluster in clusters]
  
      total_length = sum(obtained_cluster_sizes)
      self.assertEqual(total_length, len(sample))
  
      if cluster_sizes is not None:
          cluster_sizes.sort()
          obtained_cluster_sizes.sort()
          self.assertEqual(cluster_sizes, obtained_cluster_sizes)
  
imports: import unittest
  import matplotlib
  from pyclustering.samples.definitions import SIMPLE_SAMPLES, FCPS_SAMPLES
  from pyclustering.utils import read_sample
  from pyclustering.container.cftree import measurement_type
  from pyclustering.cluster.encoder import type_encoding
  from pyclustering.cluster.birch import birch
  from random import random
label_desc: Use image node_id 1 for calling the BirchUnitTest obj's underlying member method code with example usage: obj.templateClusterAllocation(path, cluster_sizes, number_clusters, branching_factor, max_node_entries, initial_diameter, type_measurement, entry_size_limit, diameter_multiplier) without return types