* doing so would be to derive a separate test library by using remove_from_jar to strip out
   * ClassValueValidator.
   *
   * Fortunately, we get pretty good coverage "by accident": We run all these tests against the
   * *backport*, where ClassValueValidator is not present.
   */

   * doing so would be to derive a separate test library by using remove_from_jar to strip out
   * ClassValueValidator.
   *
   * Fortunately, we get pretty good coverage "by accident": We run all these tests against the
   * *backport*, where ClassValueValidator is not present.
   */

    )
    # Check whether all capabilities from the input is valid
    all_valid = True
    # Remove all whitespace characters before splitting the string
    # that users may insert by accident, as this will result in error
    hermetic_cuda_compute_capabilities = ''.join(
        hermetic_cuda_compute_capabilities.split()
    )
    for compute_capability in hermetic_cuda_compute_capabilities.split(','):

    /**
     * the entry point we started building the graph from
     */
    MetadataGraphVertex entry;

    // graph vertices
    TreeSet<MetadataGraphVertex> vertices;

    /**
     * incident and excident edges per node
     */
    Map<MetadataGraphVertex, List<MetadataGraphEdge>> incidentEdges;

    Map<MetadataGraphVertex, List<MetadataGraphEdge>> excidentEdges;

    /**
     *  null in dirty graph, actual

              }
            };
        return nodeInvalidatableSet(incident, node);
      }

      @Override
      public Set<EndpointPair<N>> outEdges(N node) {
        checkNotNull(node);
        checkArgument(nodes().contains(node));
        IncidentEdgeSet<N> incident =
            new IncidentEdgeSet<N>(this, node, IncidentEdgeSet.EdgeType.OUTGOING) {
              @Override

    directedGraph.putEdge(N1, N2);
    directedGraph.putEdge(N2, N1);
    directedGraph.putEdge(N1, N3); // only incident to one node in nodeSubset
    directedGraph.putEdge(N4, N4);
    directedGraph.putEdge(5, 6); // not incident to any node in nodeSubset

    MutableGraph<Integer> expectedSubgraph = GraphBuilder.directed().allowsSelfLoops(true).build();
    expectedSubgraph.putEdge(N1, N2);

   * self-loops twice (equivalently, the number of times an edge touches {@code node}).
   *
   * <p>For directed networks, this is equal to {@code inDegree(node) + outDegree(node)}.
   *
   * <p>For undirected networks, this is equal to {@code incidentEdges(node).size()} + (number of
   * self-loops incident to {@code node}).
   *

   *
   * <p>The strategies differ based on how they define "cycle incident to a node".
   *
   * @since NEXT
   */
  public enum TransitiveClosureSelfLoopStrategy {
    /**
     * Add a self-loop to each node in the original graph; this is based on a definition of "cycle
     * incident to a node" that includes zero-length cycles. This matches the behavior of the

  /**
   * Returns the count of {@code node}'s incident edges, counting self-loops twice (equivalently,
   * the number of times an edge touches {@code node}).
   *
   * <p>For directed graphs, this is equal to {@code inDegree(node) + outDegree(node)}.
   *
   * <p>For undirected graphs, this is equal to {@code incidentEdges(node).size()} + (number of
   * self-loops incident to {@code node}).
   *

  /**
   * Returns the count of {@code node}'s incident edges, counting self-loops twice (equivalently,
   * the number of times an edge touches {@code node}).
   *
   * <p>For directed graphs, this is equal to {@code inDegree(node) + outDegree(node)}.
   *
   * <p>For undirected graphs, this is equal to {@code incidentEdges(node).size()} + (number of
   * self-loops incident to {@code node}).
   *