code: def kmeans_expectation(self, whs, centers, assignments):
      dist = self.metric(whs, centers)
      new_assignments = dist.argmax(1)
      converged = (new_assignments == assignments).all()
      return converged, new_assignments
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import os
  import sys
  from ppdet.utils.logger import setup_logger
  from scipy.cluster.vq import kmeans
  import numpy
  from tqdm import tqdm
  from ppdet.utils.cli import ArgsParser
  from ppdet.utils.check import check_gpu, check_version, check_config
  from ppdet.core.workspace import load_config, merge_config
label_desc: Use image node_id 4 for calling the YOLOv2AnchorCluster obj's underlying member method code with example usage: obj.kmeans_expectation(whs, centers, assignments) and returns: converged,  new_assignments