"type": "prometheus",
          "uid": "${DS_PROMETHEUS}"
        },
        "definition": "label_values(job)",
        "hide": 0,
        "includeAll": false,
        "multi": false,
        "name": "scrape_jobs",
        "options": [],
        "query": {
          "query": "label_values(job)",
          "refId": "StandardVariableQuery"
        },
        "refresh": 1,
        "regex": "",

          "type": "prometheus",
          "uid": "${DS_PROMETHEUS}"
        },
        "definition": "label_values(job)",
        "hide": 0,
        "includeAll": false,
        "multi": false,
        "name": "scrape_jobs",
        "options": [],
        "query": {
          "query": "label_values(job)",
          "refId": "StandardVariableQuery"
        },
        "refresh": 1,
        "regex": "",

					}
				} else {
					if err := job.Replicate.Start(job.ctx, j.objLayer, *job); err != nil {
						if !isErrBucketNotFound(err) {
							batchLogIf(j.ctx, err)
							j.canceler(job.ID, false)
							continue
						}
						// Bucket not found proceed to delete such a job.
					}
				}
			case job.KeyRotate != nil:
				if err := job.KeyRotate.Start(job.ctx, j.objLayer, *job); err != nil {

            "uid": "${DS_PROMETHEUS}"
          },
          "exemplar": true,
          "expr": "topk(1, sum(minio_cluster_capacity_usable_total_bytes{job=~\"$scrape_jobs\"}) by (instance)) - topk(1, sum(minio_cluster_capacity_usable_free_bytes{job=~\"$scrape_jobs\"}) by (instance))",
          "format": "time_series",
          "instant": false,
          "interval": "1m",
          "intervalFactor": 1,

# host Arm64 machine, the build becomes too slow (~30 min) to be a presubmit.
# For testing purposes, we want to see the runtime performance of an
# experimental job that is build-only, i.e, we only build the test targets and
# do not run them. By prefixing the configs with "build", we can run both
# `bazel build` and `bazel test` commands with the same config as test configs

                return null;
            }
            candidateSource = new FileModelSource(candidateModel.getPomFile());
        }

        //
        // TODO jvz Why isn't all this checking the job of the duty of the workspace resolver, we know that we
        // have a model that is suitable, yet more checks are done here and the one for the version is problematic

		Description:    "The specified group does not exist.",
		HTTPStatusCode: http.StatusNotFound,
	},
	ErrAdminNoSuchJob: {
		Code:           "XMinioAdminNoSuchJob",
		Description:    "The specified job does not exist.",
		HTTPStatusCode: http.StatusNotFound,
	},
	ErrAdminGroupNotEmpty: {
		Code:           "XMinioAdminGroupNotEmpty",
		Description:    "The specified group is not empty - cannot remove it.",

// can participate in distributed training. A server belongs to a cluster
// (specified by a ClusterSpec), and corresponds to a particular task in a
// named job. The server can communicate with any other server in the same
// cluster.

// In-process TensorFlow server.
typedef struct TF_Server TF_Server;