code: def execute(self):
      client = self._client.get()
      try:
          # TODO: Make job submission back-pressure aware. Currently
          #       there doesn't seem to be a kubernetes-native way to
          #       achieve the guarantees that we are seeking.
          #       https://github.com/kubernetes/enhancements/issues/1040
          #       Hopefully, we will be able to get creative with kube-batch
          response = (
              client.BatchV1Api()
              .create_namespaced_job(
                  body=self._job, namespace=self._kwargs["namespace"]
              )
              .to_dict()
          )
          return RunningJob(
              client=self._client,
              name=response["metadata"]["name"],
              uid=response["metadata"]["uid"],
              namespace=response["metadata"]["namespace"],
          )
      except client.rest.ApiException as e:
          raise KubernetesJobException(
              "Unable to launch Kubernetes job.\n %s"
              % (
                  json.loads(e.body)["message"]
                  if e.body is not None
                  else e.reason
              )
          )
  
imports: import json
  import math
  import random
  import time
  from metaflow.tracing import inject_tracing_vars
  from metaflow.exception import MetaflowException
  from metaflow.metaflow_config import KUBERNETES_SECRETS
label_desc: Use image node_id 3 for calling the KubernetesJob obj's underlying member method code with example usage: obj.execute() and returns: RunningJob