})
	nodes := kclient.NewFiltered[*v1.Node](kubeClient, kclient.Filter{ObjectTransform: kubelib.StripNodeUnusedFields})
	nt := &NodeUntainter{
		podsClient:  podsClient,
		nodesClient: nodes,
		cnilabels:   labels.Instance(istioCniLabels),
		ourNs:       ns,
	}
	nt.setup(stop)
	return nt
}

func (n *NodeUntainter) setup(stop <-chan struct{}) {
	nodes := krt.WrapClient[*v1.Node](n.nodesClient)

        return decodePreservingSharedIdentity {
            val targetVariant = readNonNull<ComponentVariantIdentifier>()
            val nodes: List<TransformStepNode> = readList().uncheckedCast()
            TransformedProjectArtifactSet(targetVariant, nodes)
        }
    }

  // TODO(b/74182462): We implement this by creating a new dummy Graph including
  // _Arg nodes, and let CompileGraph walk it. This could be optimized.
  std::unique_ptr<Graph> graph(new Graph(OpRegistry::Global()));

  // First create the actual node we care about computing.
  TF_ASSIGN_OR_RETURN(Node * main_node, graph->AddNode(node_def));

  // Create dummy _Arg nodes. Link these to `node` and also via a control
  // dependency edge to the _SOURCE node.

	"cmd/compile/internal/types"
)

// initStackTemp appends statements to init to initialize the given
// temporary variable to val, and then returns the expression &tmp.
func initStackTemp(init *ir.Nodes, tmp *ir.Name, val ir.Node) *ir.AddrExpr {
	if val != nil && !types.Identical(tmp.Type(), val.Type()) {
		base.Fatalf("bad initial value for %L: %L", tmp, val)
	}
	appendWalkStmt(init, ir.NewAssignStmt(base.Pos, tmp, val))

    private
    val targetProjects = mutableSetOf<ProjectState>()

    fun relevantProjects(nodes: List<Node>): Set<ProjectState> {
        val result = mutableSetOf<ProjectState>()
        for (project in targetProjects) {
            collect(project, result)
        }
        for (node in nodes) {
            val project = projectStateOf(node)
            if (project != null && isLocalProject(project)) {

		"Average dial time of internode TCP calls in nanoseconds")
	internodeSentBytesTotalMD = NewCounterMD(internodeSentBytesTotal,
		"Total number of bytes sent to other peer nodes")
	internodeRecvBytesTotalMD = NewCounterMD(internodeRecvBytesTotal,
		"Total number of bytes received from other peer nodes")
)

// loadNetworkInternodeMetrics - reads internode network metrics.
//
// This is a `MetricsLoaderFn`.

func (g *KubeVersionGetter) KubeletVersions() (map[string][]string, error) {
	nodes, err := g.client.CoreV1().Nodes().List(context.TODO(), metav1.ListOptions{})
	if err != nil {
		return nil, errors.New("couldn't list all nodes in cluster")
	}

	// map kubelet version to a list of node names
	kubeletVersions := make(map[string][]string)
	for _, node := range nodes.Items {
		kver := node.Status.NodeInfo.KubeletVersion

  // on parameter servers.
  const std::string jobType = "ps";
  const std::string nodeType = "_Arg";
  const std::string attrKey = "T";
  for (const Node* node : graph.nodes()) {
    if (node->type_string() == nodeType) {
      auto device_name = node->assigned_device_name();
      DeviceNameUtils::ParsedName device;
      if (DeviceNameUtils::ParseFullName(device_name, &device) &&

rules:
- apiGroups:
  - metrics.k8s.io
  resources:
  - pods
  - nodes
  verbs:
  - get
  - list
  - watch
---
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRole
metadata:
  labels:
    k8s-app: metrics-server
  name: system:metrics-server
rules:
- apiGroups:
  - ""
  resources:
  - nodes/metrics
  verbs:
  - get
- apiGroups:
  - ""
  resources:
  - pods

case "${E2E_TEST_DEBUG_TOOL:-ginkgo}" in
  ginkgo)
    program=("${ginkgo}")
    if [[ -n "${GINKGO_PARALLEL_NODES:-}" ]]; then
      program+=("--nodes=${GINKGO_PARALLEL_NODES}")
    elif [[ ${GINKGO_PARALLEL} =~ ^[yY]$ ]]; then
      program+=("--nodes=25")
    fi
    program+=("${ginkgo_args[@]:+${ginkgo_args[@]}}")
    ;;
  delve) program=("dlv" "exec") ;;
  gdb) program=("gdb") ;;