code: def templateClustering(
      file,
      radius,
      order,
      solver,
      initial,
      storage_flag,
      conn_weigh_flag,
      tolerance,
      connection,
      expected_cluster_length,
      ccore_flag,
  ):
      result_testing = False
  
      # If phases crosses each other because of random part of the network then we should try again.
      for _ in range(0, 20, 1):
          sample = read_sample(file)
          network = syncnet(
              sample,
              radius,
              connection,
              initial,
              conn_weigh_flag,
              ccore_flag,
          )
          analyser = network.process(order, solver, storage_flag)
  
          clusters = analyser.allocate_clusters(tolerance)
  
          obtained_cluster_sizes = [
              len(cluster) for cluster in clusters
          ]
  
          if len(obtained_cluster_sizes) != len(
              expected_cluster_length
          ):
              continue
  
          obtained_cluster_sizes.sort()
          expected_cluster_length.sort()
  
          if obtained_cluster_sizes != expected_cluster_length:
              continue
  
          # Unit-test is passed
          result_testing = True
          break
  
      assert result_testing
  
imports: from pyclustering.cluster.syncnet import syncnet
  from pyclustering.utils import read_sample
  from pyclustering.samples.definitions import SIMPLE_SAMPLES
  from pyclustering.nnet import conn_represent
label_desc: Use image node_id 1 for calling the SyncnetTestTemplates obj's underlying member method code with example usage: obj.templateClustering(file, radius, order, solver, initial, storage_flag, conn_weigh_flag, tolerance, connection, expected_cluster_length, ccore_flag) without return types