code: def _fetch_pod(self):
      # Fetch pod metadata.
      client = self._client.get()
      pods = (
          client.CoreV1Api()
          .list_namespaced_pod(
              namespace=self._namespace,
              label_selector="job-name={}".format(self._name),
          )
          .to_dict()["items"]
      )
      if pods:
          return pods[0]
      return {}
  
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 4 for calling the RunningJob obj's underlying member method code with example usage: obj._fetch_pod() and returns: dict, pods