}

// checkNodeTopologyDistribution updates Nodes in the topology cache and then
// queues any Services that are past the threshold.
func (c *Controller) checkNodeTopologyDistribution(logger klog.Logger) {
	if c.topologyCache == nil {
		return
	}
	nodes, err := c.nodeLister.List(labels.Everything())
	if err != nil {
		logger.Error(err, "Error listing Nodes")
		return
	}
	c.topologyCache.SetNodes(logger, nodes)

        override val scheduledWork: ScheduledWork
            get() {
                lateinit var work: ScheduledWork
                gradle.taskGraph.visitScheduledNodes { nodes, entryNodes -> work = ScheduledWork(nodes, entryNodes) }
                return work
            }
    }

    private
    inner class DefaultConfigurationCacheBuild(
        override val state: BuildState,

		cpu       *resource.Quantity
	}

	testCases := []struct {
		name                 string
		nodes                []nodeInfo
		topologyCacheEnabled bool
		endpointZoneInfo     map[string]topologycache.EndpointZoneInfo
		expectedQueueLen     int
	}{{
		name:                 "empty",
		nodes:                []nodeInfo{},
		topologyCacheEnabled: false,

// Converts an MLIR module to TensorFlow graph and FunctionLibraryDefinition.
// The "main" function of the module is stored in the graph and the rest of
// functions are stored in the library. Control ret nodes are stored separately
// in `control_ret_nodes`.
Status ConvertMlirToGraph(mlir::ModuleOp module,
                          const GraphExportConfig& configs,
                          std::unique_ptr<Graph>* graph,

// Converts an MLIR module to TensorFlow graph and FunctionLibraryDefinition.
// The "main" function of the module is stored in the graph and the rest of
// functions are stored in the library. Control ret nodes are stored separately
// in `control_ret_nodes`.
Status ConvertMlirToGraph(mlir::ModuleOp module,
                          const GraphExportConfig& configs,
                          std::unique_ptr<Graph>* graph,

     *
     * In general, this method should be avoided. The internal engine should not need to know the name of a node and
     * should instead identify nodes based on their integer node ID. This method should only be used for
     * diagnostics/reporting and for implementing existing public API methods that require this field.
     */
    String getName();

    @Override

                        for (ComponentState version : versions) {
                            List<NodeState> nodes = version.getNodes();
                            for (NodeState nodeState : nodes) {
                                // Collect nodes as implicit capability providers if different than current node, selected and not having explicit capabilities

            }
        }
    }

    /**
     * Mark all configurations corresponding to visited project variant nodes as observed.
     */
    public void complete(ConfigurationInternal.InternalState requestedState) {
        for (ResolvedProjectConfiguration projectResult : resolvedProjectConfigurations) {

		namespaces,
		meshWatcher,
		test.NewStop(t),
	)
	nodes := kclient.NewFiltered[*corev1.Node](c, kubetypes.Filter{
		ObjectFilter: discoveryNamespacesFilter,
	})
	nodes.AddEventHandler(clienttest.TrackerHandler(tracker))
	c.RunAndWait(test.NewStop(t))

	tester := clienttest.Wrap(t, nodes)
	obj1 := &corev1.Node{
		ObjectMeta: metav1.ObjectMeta{Name: "1"},
	}
	tester.Create(obj1)

  Log-Output ("kubelet kubeconfig from metadata (non-bootstrap):`n" +
              "$(Get-Content -Raw ${env:KUBECONFIG})")
}

# Creates the kubelet kubeconfig at $env:KUBECONFIG for nodes that use an
# authentication plugin, or at $env:BOOTSTRAP_KUBECONFIG for nodes that do not.
#
# Create-NodePki() must be called first.
#
# Required ${kube_env} keys:
#   KUBERNETES_MASTER_NAME: the apiserver IP address.