expected: TopologyHint{
				NUMANodeAffinity: NewTestBitMask(numaNodes...),
				Preferred:        true,
			},
		},
		{
			name: "HintProvider returns empty non-nil map[string][]TopologyHint",
			hp: []HintProvider{
				&mockHintProvider{
					map[string][]TopologyHint{},
				},
			},
			expected: TopologyHint{
				NUMANodeAffinity: NewTestBitMask(numaNodes...),
				Preferred:        true,
			},
		},
		{

// candidates returned will never be greater than <numNodes>.
func (pl *DefaultPreemption) calculateNumCandidates(numNodes int32) int32 {
	n := (numNodes * pl.args.MinCandidateNodesPercentage) / 100
	if n < pl.args.MinCandidateNodesAbsolute {
		n = pl.args.MinCandidateNodesAbsolute
	}
	if n > numNodes {
		n = numNodes
	}
	return n
}

	expectedNumNodes := int(0)
	for _, na := range expectedTree {
		expectedNumNodes += len(na)
	}
	if numNodes := nt.numNodes; numNodes != expectedNumNodes {
		t.Errorf("unexpected nodeTree.numNodes. Expected: %v, Got: %v", expectedNumNodes, numNodes)
	}
	if diff := cmp.Diff(expectedTree, nt.tree); diff != "" {
		t.Errorf("Unexpected node tree (-want, +got):\n%s", diff)
	}

			Topology:     &podresourcesapi.TopologyInfo{Nodes: []*podresourcesapi.NUMANode{{ID: numaID}}},
		},
	}

	cpus := []int64{12, 23, 30}

	memory := []*podresourcesapi.ContainerMemory{
		{
			MemoryType: "memory",
			Size_:      1073741824,
			Topology:   &podresourcesapi.TopologyInfo{Nodes: []*podresourcesapi.NUMANode{{ID: numaID}}},
		},
		{
			MemoryType: "hugepages-1Gi",
			Size_:      1073741824,

	klog.V(2).InfoS("Creating Device Plugin manager", "path", socketPath)

	var numaNodes []int
	for _, node := range topology {
		numaNodes = append(numaNodes, node.Id)
	}

	manager := &ManagerImpl{
		endpoints: make(map[string]endpointInfo),

		allDevices:            NewResourceDeviceInstances(),

				"gcr.io/200:v1": sets.New("node-0"),
			},
			expected: map[string]*framework.ImageStateSummary{
				"gcr.io/10:v1": {
					Size:     int64(10 * mb),
					NumNodes: 2,
				},
				"gcr.io/200:v1": {
					Size:     int64(200 * mb),
					NumNodes: 1,
				},
			},
		},
		{
			node: &v1.Node{
				ObjectMeta: metav1.ObjectMeta{Name: "node-0"},
				Status:     v1.NodeStatus{},
			},

	snapshot.havePodsWithRequiredAntiAffinityNodeInfoList = make([]*framework.NodeInfo, 0, cache.nodeTree.numNodes)
	snapshot.usedPVCSet = sets.New[string]()
	if updateAll {
		// Take a snapshot of the nodes order in the tree
		snapshot.nodeInfoList = make([]*framework.NodeInfo, 0, cache.nodeTree.numNodes)
		nodesList, err := cache.nodeTree.list()
		if err != nil {

	tests := []struct {
		Name      string
		Pod       *v1.Pod
		NumPV     int
		NumPVC    int
		NumNodes  int
		PreFilter bool
	}{
		{
			Name:      "with prefilter",
			Pod:       createPodWithVolume("pod_0", "PVC_Stable_0"),
			NumPV:     1000,
			NumPVC:    1000,
			NumNodes:  1000,
			PreFilter: true,
		},
		{
			Name:      "without prefilter",

	var numaNodes []int
	for n := range machineState {
		numaNodes = append(numaNodes, n)
	}
	sort.Ints(numaNodes)

	// Initialize minAffinitySize to include all NUMA Cells.
	minAffinitySize := len(numaNodes)

	hints := map[string][]topologymanager.TopologyHint{}
	bitmask.IterateBitMasks(numaNodes, func(mask bitmask.BitMask) {
		maskBits := mask.GetBits()

  // DT_VARIANT tensors must be allocated on CPU since they wrap C++
  // objects which can not be efficiently represented in GPU memory.
  int numa_node = cc_ctx->device()->NumaNode();
  Tensor out(::tensorflow::cpu_allocator(numa_node), ::tensorflow::DT_VARIANT,
             ::tensorflow::TensorShape({}));
  Variant* out_v = &(out.scalar<Variant>()());