{
					Resources: v1.ResourceRequirements{
						Requests: v1.ResourceList{
							v1.ResourceName(v1.ResourceCPU):    resource.MustParse(cpuRequest),
							v1.ResourceName(v1.ResourceMemory): resource.MustParse("1G"),
						},
						Limits: v1.ResourceList{
							v1.ResourceName(v1.ResourceCPU):    resource.MustParse(cpuLimit),
							v1.ResourceName(v1.ResourceMemory): resource.MustParse("1G"),
						},
					},

	return &api.ResourceQuota{
		ObjectMeta: metav1.ObjectMeta{
			Name:      "foo",
			Namespace: metav1.NamespaceDefault,
		},
		Spec: api.ResourceQuotaSpec{
			Hard: api.ResourceList{
				api.ResourceCPU:                    resource.MustParse("100"),
				api.ResourceMemory:                 resource.MustParse("4Gi"),
				api.ResourcePods:                   resource.MustParse("10"),

			q.Default = make(core.ResourceList)
			q.Default[core.ResourceCPU] = cpuLimit.DeepCopy()

			q.DefaultRequest = make(core.ResourceList)
			q.DefaultRequest[core.ResourceCPU] = cpuLimit.DeepCopy()

			q.Max = make(core.ResourceList)
			q.Max[core.ResourceCPU] = cpuLimit.DeepCopy()

			q.Min = make(core.ResourceList)
			q.Min[core.ResourceCPU] = cpuLimit.DeepCopy()

			expectedAllocations: v1.ResourceList{v1.ResourceCPU: cpu500m, v1.ResourceMemory: mem1500M},
			expectedResize:      v1.PodResizeStatusInProgress,
		},
		{
			name:                "Request CPU and memory increase beyond current capacity - expect Deferred",
			pod:                 testPod2,

	otherMetrics := make([]autoscalingv1.MetricSpec, 0, len(in.Spec.Metrics))
	for _, metric := range in.Spec.Metrics {
		if metric.Type == autoscaling.ResourceMetricSourceType && metric.Resource != nil && metric.Resource.Name == core.ResourceCPU && metric.Resource.Target.AverageUtilization != nil {
			continue
		}

		convMetric := autoscalingv1.MetricSpec{}
		if err := Convert_autoscaling_MetricSpec_To_v1_MetricSpec(&metric, &convMetric, s); err != nil {

					{
						Name: "container",
						Resources: v1.ResourceRequirements{
							Requests: v1.ResourceList{
								v1.ResourceCPU:    resource.MustParse("1000m"),
								v1.ResourceMemory: resource.MustParse("1G"),
							},
							Limits: v1.ResourceList{
								v1.ResourceCPU:    resource.MustParse("1000m"),
								v1.ResourceMemory: resource.MustParse("1G"),
							},
						},
					},
				},
			},

import (
	v1 "k8s.io/api/core/v1"
	"k8s.io/apimachinery/pkg/api/resource"
	"k8s.io/apimachinery/pkg/util/sets"
	"k8s.io/kubernetes/pkg/apis/core"
)

var supportedQoSComputeResources = sets.NewString(string(core.ResourceCPU), string(core.ResourceMemory))

// QOSList is a set of (resource name, QoS class) pairs.
type QOSList map[v1.ResourceName]v1.PodQOSClass

func isSupportedQoSComputeResource(name v1.ResourceName) bool {

			return map[string][]topologymanager.TopologyHint{
				string(v1.ResourceCPU): {},
			}
		}
		klog.InfoS("Regenerating TopologyHints for CPUs already allocated", "pod", klog.KObj(pod), "containerName", container.Name)
		return map[string][]topologymanager.TopologyHint{
			string(v1.ResourceCPU): p.generateCPUTopologyHints(allocated, cpuset.CPUSet{}, requested),
		}
	}

		Spec: api.PodSpec{
			Containers: []api.Container{
				{
					Name: "test",
					Resources: api.ResourceRequirements{
						Limits:   api.ResourceList{api.ResourceCPU: CPU1000m},
						Requests: api.ResourceList{api.ResourceCPU: CPU500m},
					},
				},
			},
		},
	}

	guaranteedPod := &api.Pod{
		ObjectMeta: metav1.ObjectMeta{Name: "testPod", Namespace: "testNamespace"},
		Spec: api.PodSpec{

		NumCores:       2,
		MemoryCapacity: 2048,
		HugePages: []info.HugePagesInfo{
			{
				PageSize: 5,
				NumPages: 10,
			},
		},
	}

	expected := v1.ResourceList{
		v1.ResourceCPU:    *resource.NewMilliQuantity(int64(2000), resource.DecimalSI),
		v1.ResourceMemory: *resource.NewQuantity(int64(2048), resource.BinarySI),
		"hugepages-5Ki":   *resource.NewQuantity(int64(51200), resource.BinarySI),
	}