code: def _contains_isolated_cores(label, cluster, min_cores):
      """Check if the cluster has at least ``min_cores`` of cores that belong to no other cluster."""
      return (
          sum(
              [
                  neighboring_labels == {label}
                  for neighboring_labels in cluster.neighboring_labels
              ]
          )
          >= min_cores
      )
  
imports: import logging
  import os
  from multiprocessing import Process, Pipe, ProcessError
  import importlib
  from typing import Set, Optional, List
  import numpy
  from scipy.spatial.distance import cosine
  from dataclasses import dataclass
  from gensim import utils
  from gensim.models import ldamodel, ldamulticore, basemodel
  from gensim.utils import SaveLoad
label_desc: Use image node_id 3 for calling a global function with example usage: _contains_isolated_cores(label, cluster, min_cores) and returns: unknown