mutable tensorflow::mutex mu;
  tensorflow::Graph graph TF_GUARDED_BY(mu);

  // Runs shape inference.
  tensorflow::ShapeRefiner refiner TF_GUARDED_BY(mu);

  // Maps from name of an operation to the Node* in 'graph'.
  std::unordered_map<tensorflow::string, tensorflow::Node*> name_map
      TF_GUARDED_BY(mu);

  // The keys of this map are all the active sessions using this graph. Each

    assertThat(immutableGraph).isNotEqualTo(mutableGraph);
  }

  @Test
  public void copyOfImmutableGraph_optimized() {
    Graph<String> graph1 = ImmutableGraph.copyOf(GraphBuilder.directed().<String>build());
    Graph<String> graph2 = ImmutableGraph.copyOf(graph1);

    assertThat(graph2).isSameInstanceAs(graph1);
  }

  @Test
  public void immutableGraphBuilder_appliesGraphBuilderConfig() {
    ImmutableGraph<String> emptyGraph =

 * terms</a>):
 *
 * <ul>
 *   <li>directed graphs
 *   <li>undirected graphs
 *   <li>graphs that do/don't allow self-loops
 *   <li>graphs whose nodes/edges are insertion-ordered, sorted, or unordered
 *   <li>graphs whose edges have associated values
 * </ul>
 *
 * <p>{@code ValueGraph}, as a subtype of {@code Graph}, explicitly does not support parallel edges,

 *
 * <h3>Usage</h3>
 *
 * Given an algorithm, for example:
 *
 * {@snippet :
 * public <N> someGraphAlgorithm(N startNode, SuccessorsFunction<N> successorsFunction);
 * }
 *
 * you will invoke it depending on the graph representation you're using.
 *
 * <p>If you have an instance of one of the primary {@code common.graph} types ({@link Graph},
 * {@link ValueGraph}, and {@link Network}):

  }

  static void assertStronglyEquivalent(Graph<?> graphA, Graph<?> graphB) {
    // Properties not covered by equals()
    assertThat(graphA.allowsSelfLoops()).isEqualTo(graphB.allowsSelfLoops());
    assertThat(graphA.nodeOrder()).isEqualTo(graphB.nodeOrder());

    assertThat(graphA).isEqualTo(graphB);
  }

  static void assertStronglyEquivalent(ValueGraph<?, ?> graphA, ValueGraph<?, ?> graphB) {
    // Properties not covered by equals()

        assertEquals(1, graph.getFinishedProjects().size());

        graph.markAsFinished(ProjectDependencyGraphStub.A);
        // still only  A
        assertEquals(1, graph.getFinishedProjects().size());

        Set<MavenProject> unfinishedProjects = graph.getUnfinishedProjects();
        assertEquals(5, unfinishedProjects.size());

        graph.markAsFinished(schedulableNewProcesses.get(0));

 *
 * <h3>Usage</h3>
 *
 * Given an algorithm, for example:
 *
 * {@snippet :
 * public <N> someGraphAlgorithm(N startNode, PredecessorsFunction<N> predecessorsFunction);
 * }
 *
 * you will invoke it depending on the graph representation you're using.
 *
 * <p>If you have an instance of one of the primary {@code common.graph} types ({@link Graph},
 * {@link ValueGraph}, and {@link Network}):
 *

    private static void addPhase(
            Graph graph, Graph.Vertex before, Graph.Vertex after, org.apache.maven.api.Lifecycle.Phase phase) {
        Graph.Vertex ep0 = graph.addVertex(BEFORE + phase.name());
        Graph.Vertex ep1 = graph.addVertex("$$" + phase.name());
        Graph.Vertex ep2 = graph.addVertex(phase.name());
        Graph.Vertex ep3 = graph.addVertex(AFTER + phase.name());
        graph.addEdge(ep0, ep1);

        ProjectDependencyGraph graph =
                new DefaultProjectDependencyGraph(Arrays.asList(aProject, bProject, cProject, dProject, eProject));
        graph = new FilteredProjectDependencyGraph(graph, Arrays.asList(aProject, dProject, eProject));
        final List<MavenProject> downstreamProjects = graph.getDownstreamProjects(aProject, false);
        assertEquals(2, downstreamProjects.size());

  Set<N> nodes();

  //
  // Graph properties
  //

  /**
   * Returns true if the edges in this graph are directed. Directed edges connect a {@link
   * EndpointPair#source() source node} to a {@link EndpointPair#target() target node}, while
   * undirected edges connect a pair of nodes to each other.
   */
  boolean isDirected();

  /**