Name:      avgLinkLatency,
		Help:      "Average replication link latency in milliseconds",
		Type:      gaugeMetric,
	}
}

func getClusterReplAvgQueuedOperationsMD() MetricDescription {
	return MetricDescription{
		Namespace: nodeMetricNamespace,
		Subsystem: replicationSubsystem,
		Name:      avgInQueueCount,
		Help:      "Average number of objects queued for replication since server uptime",

      },
      "io.k8s.api.autoscaling.v2.MetricTarget": {
        "description": "MetricTarget defines the target value, average value, or average utilization of a specific metric",
        "properties": {
          "averageUtilization": {

    /** The key of the message: Failed to download the Elevate file. */
    public static final String ERRORS_failed_to_download_elevate_file = "{errors.failed_to_download_elevate_file}";

    /** The key of the message: Failed to upload the Elevate file. */
    public static final String ERRORS_failed_to_upload_elevate_file = "{errors.failed_to_upload_elevate_file}";

}

// ServerHTTPAPIStats holds total number of HTTP operations from/to the server,
// including the average duration the call was spent.
type ServerHTTPAPIStats struct {
	APIStats map[string]int `json:"apiStats"`
}

// ServerHTTPStats holds all type of http operations performed to/from the server
// including their average execution time.
type ServerHTTPStats struct {

        "properties": {
          "currentCPUUtilizationPercentage": {
            "description": "currentCPUUtilizationPercentage is the current average CPU utilization over all pods, represented as a percentage of requested CPU, e.g. 70 means that an average pod is using now 70% of its requested CPU.",
            "format": "int32",
            "type": "integer"
          },
          "currentReplicas": {

    return value.getSExtValue() == 1;
  }
};

// Maps the following representations of AvgPool in MHLO into a tf.AvgPool{3D}
// operation when they cleanly map to 2D or 3D average pool with VALID or SAME
// padding:
// * div(reduce_sum_window(x), constant(sizeof(window)))
// * div(reduce_sum_window(x), reduce_sum_window(constant(1)))

			expected: []metav1.TableRow{{Cells: []interface{}{"some-hpa", "ReplicationController/some-rc", "<none>", "<unset>", int64(10), int64(4), "<unknown>"}}},
		},
		// external source type, target average value (no current)
		{
			hpa: autoscaling.HorizontalPodAutoscaler{
				ObjectMeta: metav1.ObjectMeta{Name: "some-hpa"},
				Spec: autoscaling.HorizontalPodAutoscalerSpec{

	op_VN     uint32 = 0xE768 // 	VRR-c	VECTOR AND
	op_VNC    uint32 = 0xE769 // 	VRR-c	VECTOR AND WITH COMPLEMENT
	op_VAVG   uint32 = 0xE7F2 // 	VRR-c	VECTOR AVERAGE
	op_VAVGL  uint32 = 0xE7F0 // 	VRR-c	VECTOR AVERAGE LOGICAL
	op_VCKSM  uint32 = 0xE766 // 	VRR-c	VECTOR CHECKSUM
	op_VCEQ   uint32 = 0xE7F8 // 	VRR-b	VECTOR COMPARE EQUAL
	op_VCH    uint32 = 0xE7FB // 	VRR-b	VECTOR COMPARE HIGH

     * traverse. When nodes would otherwise be changed, new nodes are created to replace them. This
     * works well for hash tables since the bin lists tend to be short. (The average length is less
     * than two.)
     *
     * Read operations can thus proceed without locking, but rely on selected uses of volatiles to

     * traverse. When nodes would otherwise be changed, new nodes are created to replace them. This
     * works well for hash tables since the bin lists tend to be short. (The average length is less
     * than two.)
     *
     * Read operations can thus proceed without locking, but rely on selected uses of volatiles to