)

// DesiredStateOfWorld defines a set of thread-safe operations supported on
// the attach/detach controller's desired state of the world cache.
// This cache contains nodes->volumes->pods where nodes are all the nodes
// managed by the attach/detach controller, volumes are all the volumes that
// should be attached to the specified node, and pods are the pods that
// reference the volume and are scheduled to that node.

    for (Integer node : graph.nodes()) {
      new EqualsTester()
          .addEqualityGroup(
              graph.predecessors(node), graph.successors(node), graph.adjacentNodes(node))
          .testEquals();
    }
  }

  @Override
  @Test
  public void nodes_checkReturnedSetMutability() {
    assume().that(graphIsMutable()).isTrue();

    Set<Integer> nodes = graph.nodes();
    UnsupportedOperationException e =

// Get returns a fake node object in the fake nodes.
func (nodes NodeInfoLister) Get(nodeName string) (*framework.NodeInfo, error) {
	for _, node := range nodes {
		if node != nil && node.Node().Name == nodeName {
			return node, nil
		}
	}
	return nil, fmt.Errorf("unable to find node: %s", nodeName)
}

// List lists all nodes.
func (nodes NodeInfoLister) List() ([]*framework.NodeInfo, error) {

	// PercentageOfNodesToScore is the percentage of all nodes that once found feasible
	// for running a pod, the scheduler stops its search for more feasible nodes in
	// the cluster. This helps improve scheduler's performance. Scheduler always tries to find
	// at least "minFeasibleNodesToFind" feasible nodes no matter what the value of this flag is.
	// Example: if the cluster size is 500 nodes and the value of this flag is 30,

    public boolean hasPendingPreExecutionNodes() {
        return false;
    }

    /**
     * Visits the "post-execution" nodes of this node. These nodes should be treated as though they also produce the outputs or
     * results of this node. That is, all nodes that depend on this node should also depend on these nodes. This method is called when

				droppedNodes = len(g.Nodes) - len(nodesKept)
				g.TrimTree(nodesKept)
			}
		} else {
			if nodesKept := g.DiscardLowFrequencyNodes(nodeCutoff); len(g.Nodes) != len(nodesKept) {
				droppedNodes = len(g.Nodes) - len(nodesKept)
				g = rpt.newGraph(nodesKept)
			}
		}
	}
	origCount = len(g.Nodes)

			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,

					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{

 * 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

/**
 * 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