* map of edges to reference nodes. The reference node is defined to be the edge's source node on
 * directed graphs, and an arbitrary endpoint of the edge on undirected graphs.
 *
 * <p>Collection-returning accessors return unmodifiable views: the view returned will reflect
 * changes to the graph (if the graph is mutable) but may not be modified by the user.
 *

  TF_AbstractFunction* func =
      TF_FinalizeFunction(graph_ctx, mm_outputs, status.get());
  ASSERT_EQ(TF_OK, TF_GetCode(status.get())) << TF_Message(status.get());

  /* Now that the graph is built, test graph implementation on matmul example:
    [[1,1] ,   *   [[1,1] ,   =  [[2,2],
     [1,1]]         [1,1]]        [2,2]]
  */

  // Build eager context.
  TFE_ContextOptions* opts = TFE_NewContextOptions();

import org.apache.maven.api.annotations.Nullable;

import static java.util.Objects.requireNonNull;

/**
 * A request to collect the transitive dependencies and to build a dependency graph from them. There are three ways to
 * create a dependency graph. First, only the root dependency can be given. Second, a root dependency and direct
 * dependencies can be specified in which case the specified direct dependencies are merged with the direct dependencies

    /**
     * Gets the exceptions that occurred while building the dependency graph.
     *
     * @return the exceptions that occurred, never {@code null}
     */
    @Nonnull
    List<Exception> getExceptions();

    /**
     * Gets the root node of the dependency graph.
     *
     * @return the root node of the dependency graph or {@code null} if none
     */
    @Nullable
    Node getRoot();

    /**

    "groups" : [ {
      "testProject" : "excludeRuleMergingBuild",
      "coverage" : {
        "per_commit" : [ "linux" ]
      }
    } ]
  }, {
    "testId" : "org.gradle.performance.regression.corefeature.LargeDependencyGraphPerformanceTest.resolve large dependency graph (parallel = false, locking = true)",
    "groups" : [ {

#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 {

 * resolving the version} and then downloading the file.</p>
 *
 * <p><dfn>Dependency collection</dfn> builds a graph of {@link org.apache.maven.api.Node} objects containing
 * all the dependencies.</p>
 *
 * <p>The <dfn>Dependency graph flattening</dfn> process in Maven reduces a complex,
 * multi-level dependency graph to a map of ordered lists that can be turned into classpaths.

};

namespace tracing {

// =============================================================================
// Implementation detail for the unified execution APIs for Eager and tracing
// backends (graph/MLIR).
//
// This defines a set of abstract classes that are intended to provide the
// functionality of the opaque C types exposed in the public APIs defined in the
// `c_api_unified_experimental.h` header.

 */

package com.google.common.graph;

import static com.google.common.graph.Graphs.TransitiveClosureSelfLoopStrategy.ADD_SELF_LOOPS_ALWAYS;
import static com.google.common.graph.Graphs.TransitiveClosureSelfLoopStrategy.ADD_SELF_LOOPS_FOR_CYCLES;
import static com.google.common.graph.Graphs.copyOf;
import static com.google.common.graph.Graphs.inducedSubgraph;
import static com.google.common.graph.Graphs.transitiveClosure;

    private record Key(MavenProject project, boolean transitive, boolean upstream) {}

    /**
     * Creates a new project dependency graph from the specified graph.
     *
     * @param projectDependencyGraph The project dependency graph to create a sub view from, must not be {@code null}.
     * @param whiteList The projects on which the dependency view should focus, must not be {@code null}.
     */