limitations under the License.
==============================================================================*/

// An optimization passes that marks nodes that are to be compiled with
// attribute kXlaClusterAttr. Nodes with the same cluster ID will be compiled
// together.

#ifndef TENSORFLOW_COMPILER_JIT_MARK_FOR_COMPILATION_PASS_H_
#define TENSORFLOW_COMPILER_JIT_MARK_FOR_COMPILATION_PASS_H_

   private:
    // The subgraph extracted from the input graph, suitable for being turned
    // into a FunctionDef. Inputs are fed by _Arg nodes, and outputs are
    // returned by _Retval nodes.
    std::unique_ptr<Graph> graph_;

    // Which device are these nodes on? Used to assign a device to the call
    // node.
    string device_;

    // NodeDef for the function call node.
    NodeDef call_node_def_;

			pod:  makePod("pod-a").Pod,
			nodes: []*v1.Node{
				makeNode("node-a").Node,
			},
			wantPreFilterStatus: framework.NewStatus(framework.Skip),
			wantFilterStatus: []*framework.Status{
				nil,
			},
			wantPreScoreStatus: framework.NewStatus(framework.Skip),
		},
		{
			name: "all bound",
			pod:  makePod("pod-a").withPVCVolume("pvc-a", "").Pod,
			nodes: []*v1.Node{
				makeNode("node-a").Node,

 * href="https://en.wikipedia.org/wiki/Graph_(discrete_mathematics)">graph</a>-structured data,
 * whose edges have associated non-unique values.
 *
 * <p>A graph is composed of a set of nodes and a set of edges connecting pairs of nodes.
 *
 * <p>There are three primary interfaces provided to represent graphs. In order of increasing
 * complexity they are: {@link Graph}, {@link ValueGraph}, and {@link Network}. You should generally

					Predicates:   []tf.FitPredicate{tf.Node1PredicateExtender},
				},
			},
			nodes: []string{"node1", "node2"},
			expectedResult: ScheduleResult{
				SuggestedHost:  "node1",
				EvaluatedNodes: 2,
				FeasibleNodes:  1,
			},
			name: "test 10 - no scoring, extender filters configured, multiple feasible nodes are evaluated",
		},
		{
			registerPlugins: []tf.RegisterPluginFunc{

	nodes := make([]*corev1.Node, 0, opts.nodes)
	pods := make([]*corev1.Pod, 0, opts.nodes*opts.podsPerNode)
	pvs := make([]*corev1.PersistentVolume, 0, (opts.nodes*opts.podsPerNode*opts.uniquePVCsPerPod)+(opts.sharedPVCsPerPod*opts.namespaces))
	attachments := make([]*storagev1.VolumeAttachment, 0, opts.nodes*opts.attachmentsPerNode)

/**
 * An interface for <a
 * href="https://en.wikipedia.org/wiki/Graph_(discrete_mathematics)">graph</a>-structured data,
 * whose edges are unique objects.
 *
 * <p>A graph is composed of a set of nodes and a set of edges connecting pairs of nodes.
 *
 * <p>There are three primary interfaces provided to represent graphs. In order of increasing
 * complexity they are: {@link Graph}, {@link ValueGraph}, and {@link Network}. You should generally

  - endpoints
  - serviceaccounts
  verbs:
  - create
  - get
  - update
- apiGroups:
  - ""
  resources:
  - nodes
  verbs:
  - get
  - update
  - patch
- apiGroups:
  - ""
  resources:
  - namespaces
  verbs:
  - get
- apiGroups:
  - ""
  resources:
  - nodes/status
  verbs:
  - patch
  - update
- apiGroups:
  - ""
  resources:
  - secrets
  verbs:
  - create

public interface DependencyArtifactsVisitor {
    /**
     * Visits a node in the graph. All nodes are visited prior to visiting the edges
     */
    default void visitNode(DependencyGraphNode node) {}

    /**
     * Visits the artifacts introduced by a particular edge in the graph. Called for every edge in the graph.
     * The nodes are visited in consumer-first order.
     */

 */
@ElementTypesAreNonnullByDefault
interface BaseGraph<N> extends SuccessorsFunction<N>, PredecessorsFunction<N> {
  //
  // Graph-level accessors
  //

  /** Returns all nodes in this graph, in the order specified by {@link #nodeOrder()}. */
  Set<N> nodes();

  /** Returns all edges in this graph. */
  Set<EndpointPair<N>> edges();

  //
  // Graph properties
  //

  /**