code: def create_cluster_spec(
      parameters_server: str, workers: str
  ) -> tf.train.ClusterSpec:
      """
      Creates a ClusterSpec object representing the cluster.
      :param parameters_server: comma-separated list of hostname:port pairs to which the parameter servers are assigned
      :param workers: comma-separated list of hostname:port pairs to which the workers are assigned
      :return: a ClusterSpec object representing the cluster
      """
      # extract the parameter servers and workers from the given strings
      ps_hosts = parameters_server.split(",")
      worker_hosts = workers.split(",")
  
      # Create a cluster spec from the parameter server and worker hosts
      cluster_spec = tf.train.ClusterSpec(
          {"ps": ps_hosts, "worker": worker_hosts}
      )
  
      return cluster_spec
  
imports: from typing import Tuple
  import tensorflow
label_desc: Use image node_id 1 for calling a global function with example usage: create_cluster_spec(parameters_server, workers) and returns: cluster_spec