code: def test_submitted_run_get_status_running():
      mlflow_run_id = 1
      job_name = "job-name"
      job_namespace = "job-namespace"
      job_status = kubernetes.client.models.V1JobStatus(
          active=1,
          completion_time=None,
          conditions=None,
          failed=1,
          start_time=1,
          succeeded=1,
      )
      job = kubernetes.client.models.V1Job(status=job_status)
      with mock.patch(
          "kubernetes.client.BatchV1Api.read_namespaced_job_status",
          return_value=job,
      ) as kube_api_mock:
          submitted_run = kb.KubernetesSubmittedRun(
              mlflow_run_id, job_name, job_namespace
          )
          assert RunStatus.RUNNING == submitted_run.get_status()
          assert kube_api_mock.call_count == 1
          args = kube_api_mock.call_args_list
          assert args[0][1]["name"] == job_name
          assert args[0][1]["namespace"] == job_namespace
  
file_path: mlflow/tests/projects/test_kubernetes.py
imports: from unittest import mock
  import kubernetes
  import pytest
  import yaml
  from kubernetes.config.config_exception import ConfigException
  from mlflow.entities import RunStatus
  from mlflow.exceptions import ExecutionException
  from mlflow.projects import kubernetes
label_desc: Use image node_id 11 for calling a global function with example usage: test_submitted_run_get_status_running() without return types