ProjectDependencyGraph graph = new DefaultProjectDependencyGraph(session.getAllProjects());
            if (session.getProjects() != null) {
                graph = new FilteredProjectDependencyGraph(graph, session.getProjects());
            }

            result = Result.success(graph);
        }

        return result;
    }

   *
   * <p>If the graph is directed, the resultant edge will be directed; otherwise, it will be
   * undirected.
   *
   * <p>If this graph is directed, {@code endpoints} must be ordered.
   *
   * <p>Values do not have to be unique. However, values must be non-null.
   *
   * <p>If either or both endpoints are not already present in this graph, this method will silently

        + edgeValueMap(this);
  }

  private static <N, V> Map<EndpointPair<N>, V> edgeValueMap(final ValueGraph<N, V> graph) {
    return Maps.asMap(
        graph.edges(),
        edge ->
            // requireNonNull is safe because the endpoint pair comes from the graph.
            requireNonNull(graph.edgeValueOrDefault(edge.nodeU(), edge.nodeV(), null)));
  }

/**
 * Helper class to convert a metadata Graph into some form of a classpath
 *
 *
 */
@Deprecated
public interface ClasspathTransformation {
    String ROLE = ClasspathTransformation.class.getName();

    /**
     * Transform Graph into a Collection of metadata objects that
     * could serve as a classpath for a particular scope
     *
     * @param dirtyGraph - dependency graph
     * @param scope - which classpath to extract

  assert(session);
  {
    tensorflow::mutex_lock c(session->graph->mu);
    VLOG(1) << "Dequeuing named tensor with id " << tensor_id
            << ", with input graph: "
            << session->graph->graph.ToGraphDefDebug().DebugString();
  }

  TF_Operation* dequeue_op = TF_GraphOperationByName(
      session->graph,
      tensorflow::strings::StrCat("fifo_queue_dequeue_", tensor_id).c_str());

#include "tensorflow/core/framework/node_def.pb.h"
#include "tensorflow/core/framework/node_def_util.h"
#include "tensorflow/core/framework/tensor.pb.h"  // NOLINT
#include "tensorflow/core/framework/types.h"
#include "tensorflow/core/graph/graph.h"
#include "tensorflow/core/platform/base64.h"
#include "tensorflow/core/platform/strcat.h"
#include "tensorflow/core/util/debug_data_dumper.h"

using tensorflow::errors::InvalidArgument;

namespace tensorflow {

    private final Map<MavenProject, Integer> order;

    private final Map<String, MavenProject> projects;

    /**
     * Creates a new project dependency graph based on the specified projects.
     *
     * @param projects The projects to create the dependency graph with
     * @throws DuplicateProjectException
     * @throws CycleDetectedException
     */
    public DefaultProjectDependencyGraph(Collection<MavenProject> projects)

  println("Time: ${time.toDouble() / 1000} seconds\n")
}

fun main() {
  Security.insertProviderAt(OpenSSLProvider(), 1)
  var bootstrapClient = OkHttpClient()
  var names = listOf("google.com", "graph.facebook.com", "sdflkhfsdlkjdf.ee")
  try {
    println("uncached\n********\n")
    var dnsProviders =
      providers(
        client = bootstrapClient,
        http2Only = false,
        workingOnly = false,

  final N node;
  final BaseGraph<N> graph;

  IncidentEdgeSet(BaseGraph<N> graph, N node) {
    this.graph = graph;
    this.node = node;
  }

  @Override
  public boolean remove(@CheckForNull Object o) {
    throw new UnsupportedOperationException();
  }

  @Override
  public int size() {
    if (graph.isDirected()) {
      return graph.inDegree(node)
          + graph.outDegree(node)

}

TF_Operation* Mul(TF_Operation* l, TF_Operation* r, TF_Graph* graph,
                  TF_Status* s, const char* name) {
  TF_Operation* op;
  BinaryOpHelper("Mul", l, r, graph, s, name, &op, "", true);
  return op;
}

TF_Operation* Add(TF_Output l, TF_Output r, TF_Graph* graph, TF_Status* s,
                  const char* name) {