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 {

	}{
		{
			"TestConversionWithCPUAverageValueAndUtilizationBoth1",
			args{
				in: &autoscaling.HorizontalPodAutoscalerSpec{
					MinReplicas: utilpointer.Int32(1),
					MaxReplicas: 3,
					Metrics: []autoscaling.MetricSpec{
						{
							Type: autoscaling.ResourceMetricSourceType,
							Resource: &autoscaling.ResourceMetricSource{
								Name: api.ResourceCPU,
								Target: autoscaling.MetricTarget{

	return allErrs
}

func validateMetrics(metrics []autoscaling.MetricSpec, fldPath *field.Path, minReplicas *int32) field.ErrorList {
	allErrs := field.ErrorList{}
	hasObjectMetrics := false
	hasExternalMetrics := false

	for i, metricSpec := range metrics {
		idxPath := fldPath.Index(i)
		if targetErrs := validateMetricSpec(metricSpec, idxPath); len(targetErrs) > 0 {
			allErrs = append(allErrs, targetErrs...)
		}

		})
	var ret []cadvisorapiv1.MetricSpec
	f.Fuzz(&ret)
	return ret
}

func generateCustomMetrics(spec []cadvisorapiv1.MetricSpec) map[string][]cadvisorapiv1.MetricVal {
	ret := map[string][]cadvisorapiv1.MetricVal{}
	for _, metricSpec := range spec {
		f := fuzz.New().NilChance(0).Funcs(
			func(e *cadvisorapiv1.MetricVal, c fuzz.Continue) {
				switch metricSpec.Format {
				case cadvisorapiv1.IntType:

	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

		obj.Spec.MinReplicas = pointer.Int32(1)
	}

	if len(obj.Spec.Metrics) == 0 {
		utilizationDefaultVal := int32(autoscaling.DefaultCPUUtilization)
		obj.Spec.Metrics = []autoscalingv2beta1.MetricSpec{
			{
				Type: autoscalingv2beta1.ResourceMetricSourceType,
				Resource: &autoscalingv2beta1.ResourceMetricSource{
					Name:                     v1.ResourceCPU,
					TargetAverageUtilization: &utilizationDefaultVal,

	if obj.Spec.MinReplicas == nil {
		obj.Spec.MinReplicas = pointer.Int32(1)
	}

	if len(obj.Spec.Metrics) == 0 {
		utilizationDefaultVal := int32(autoscaling.DefaultCPUUtilization)
		obj.Spec.Metrics = []autoscalingv2.MetricSpec{
			{
				Type: autoscalingv2.ResourceMetricSourceType,
				Resource: &autoscalingv2.ResourceMetricSource{
					Name: v1.ResourceCPU,
					Target: autoscalingv2.MetricTarget{

	x := &v1alpha12.ResourceMetricSource{}
	err := yaml.UnmarshalStrict([]byte("targetAverageValue: 100m"), x)
	t.Log(x)
	if err != nil {
		t.Fatal(err)
	}
	y := &v1alpha12.MetricSpec{}
	err = yaml.UnmarshalStrict([]byte(`
type: Resource
resource:
  targetAverageValue: 100m`), y)
	t.Log(y)
	if err != nil {
		t.Fatal(err)
	}
	z := &v1alpha12.HorizontalPodAutoscalerSpec{}

			var objMetricID autoscaling.MetricIdentifier
			c.Fuzz(&podMetricID)
			c.Fuzz(&objMetricID)

			targetUtilization := int32(c.RandUint64())
			averageValue := randomQuantity()
			s.Metrics = []autoscaling.MetricSpec{
				{
					Type: autoscaling.PodsMetricSourceType,
					Pods: &autoscaling.PodsMetricSource{
						Metric: podMetricID,
						Target: autoscaling.MetricTarget{
							Type:         autoscaling.AverageValueMetricType,