ScaleTargetRef: autoscaling.CrossVersionObjectReference{
				Kind: "ReplicationController",
				Name: "myrc",
			},
			MinReplicas: utilpointer.Int32(1),
			MaxReplicas: 5,
			Metrics: []autoscaling.MetricSpec{{
				Type: autoscaling.ResourceMetricSourceType,
				Resource: &autoscaling.ResourceMetricSource{
					Name: api.ResourceCPU,
					Target: autoscaling.MetricTarget{

	} else if metricSpec.Object.Target.Type == autoscalingv2.AverageValueMetricType && metricSpec.Object.Target.AverageValue != nil {

	statusUpdated                bool
	eventCreated                 bool
	verifyEvents                 bool
	useMetricsAPI                bool
	metricsTarget                []autoscalingv2.MetricSpec
	expectedDesiredReplicas      int32
	expectedConditions           []autoscalingv2.HorizontalPodAutoscalerCondition
	// Channel with names of HPA objects which we have reconciled.
	processed chan string

						Name: "some-rc",
						Kind: "ReplicationController",
					},
					MinReplicas: &minReplicasVal,
					MaxReplicas: 10,
					Metrics: []autoscaling.MetricSpec{
						{
							Type: autoscaling.ExternalMetricSourceType,
							External: &autoscaling.ExternalMetricSource{
								Metric: autoscaling.MetricIdentifier{
									Name:     "some-external-metric",

	// +optional
	APIVersion string `json:"apiVersion,omitempty" protobuf:"bytes,3,opt,name=apiVersion"`
}

// MetricSpec specifies how to scale based on a single metric
// (only `type` and one other matching field should be set at once).
type MetricSpec struct {
	// type is the type of metric source.  It should be one of "ContainerResource", "External",

	// QPS from loadbalancer running outside of cluster).
	ExternalMetricSourceType MetricSourceType = "External"
)

// MetricSpec specifies how to scale based on a single metric
// (only `type` and one other matching field should be set at once).
type MetricSpec struct {
	// type is the type of metric source.  It should be one of "ContainerResource",

		r, err := printDeployment(&list.Items[i], options)
		if err != nil {
			return nil, err
		}
		rows = append(rows, r...)
	}
	return rows, nil
}

func formatHPAMetrics(specs []autoscaling.MetricSpec, statuses []autoscaling.MetricStatus) string {
	if len(specs) == 0 {
		return "<none>"
	}
	list := []string{}
	max := 2
	more := false
	count := 0
	for i, spec := range specs {

										Ref:     ref("k8s.io/api/autoscaling/v2beta1.MetricSpec"),
									},
								},
							},
						},
					},
				},
				Required: []string{"scaleTargetRef", "maxReplicas"},
			},
		},
		Dependencies: []string{
			"k8s.io/api/autoscaling/v2beta1.CrossVersionObjectReference", "k8s.io/api/autoscaling/v2beta1.MetricSpec"},
	}
}

        }
      },
      "required": [
        "name"
      ],
      "type": "object"
    },
    "io.k8s.api.autoscaling.v2.MetricSpec": {
      "description": "MetricSpec specifies how to scale based on a single metric (only `type` and one other matching field should be set at once).",
      "properties": {
        "containerResource": {