*   <li>graphs whose edges have associated values
 * </ul>
 *
 * <p>{@code ValueGraph}, as a subtype of {@code Graph}, explicitly does not support parallel edges,
 * and forbids implementations or extensions with parallel edges. If you need parallel edges, use
 * {@link Network}. (You can use a positive {@code Integer} edge value as a loose representation of

performance limitations.

## Multi-Tenant environments

It is possible to run multiple TensorFlow models in parallel. For example,
`ModelServer` collates all computation graphs exposed to it (from multiple
`SavedModel`) and executes them in parallel on available executors. Running
TensorFlow in a multitenant design mixes the risks described above with the

        network.addNode(gen.nextInt(NODE_POOL_SIZE));
      }
      ArrayList<Integer> nodeList = new ArrayList<>(network.nodes());
      for (int i = 0; i < NUM_EDGES; ++i) {
        // Parallel edges are allowed, so this should always succeed.
        assertThat(
                network.addEdge(
                    getRandomElement(nodeList, gen), getRandomElement(nodeList, gen), new Object()))
            .isTrue();

import java.util.HashMap;
import java.util.Map;
import java.util.Set;
import org.jspecify.annotations.Nullable;

/**
 * An implementation of {@link NetworkConnections} for undirected networks with parallel edges.
 *
 * @author James Sexton
 * @param <N> Node parameter type
 * @param <E> Edge parameter type
 */
final class UndirectedMultiNetworkConnections<N, E>
    extends AbstractUndirectedNetworkConnections<N, E> {

    }

    @TaskAction
    public void doExport() {
        if (resources.isEmpty()) {
            setDidWork(false);
            throw new StopExecutionException();
        }
        resources.stream().parallel().forEach(resourcePath -> {
            Path destination = outputDir.get().file(resourcePath).getAsFile().toPath();
            try (InputStream is = getClass().getClassLoader().getResourceAsStream(resourcePath)) {

                    "org.gradle.performance.regression.java.JavaIDEModelPerformanceTest.get IDE model for IDEA",
                    "org.gradle.performance.regression.java.JavaUpToDatePerformanceTest.up-to-date assemble (parallel true)",
                    "org.gradle.performance.crossbuild.TaskAvoidancePerformanceTest.help with lazy and eager tasks",
                ),
            )

            checkCleanM2AndAndroidUserHome(os)
        }

	defer removeRoots(disks)

	// uses *testing.B and the object Layer to run the benchmark.
	runPutObjectBenchmark(b, objLayer, objSize)
}

// creates Erasure/FS backend setup, obtains the object layer and runs parallel benchmark for put object.
func benchmarkPutObjectParallel(b *testing.B, instanceType string, objSize int) {
	// create a temp Erasure/FS backend.
	ctx, cancel := context.WithCancel(b.Context())
	defer cancel()

import org.apache.maven.project.MavenProject;

/**
 * Smart project comparator that orders projects based on critical path analysis.
 * Projects with longer downstream dependency chains are prioritized to maximize
 * parallel execution efficiency.
 *
 * <p>The algorithm calculates a weight for each project as:
 * weight = 1 + max(downstream_project_weights)
 *
 * <p>Projects are then sorted by weight in descending order, ensuring that

  // Returns size of specified dimension
  //
  // -1 indicates an unknown axis length; this is unreachable for most standard
  // ImmediateExecutionTensorHandles, but comes up for example when computing
  // the shape of a parallel tensor with component shapes differing across
  // devices.
  virtual absl::Status Dim(int dim_index, int64_t* dim) const = 0;

  // Returns the device which created the handle.

                for (String s : MultilineMessageHelper.format(
                        "Your build is requesting parallel execution, but this project contains the following "
                                + "plugin(s) that have goals not marked as thread-safe to support parallel execution.",
                        "While this /may/ work fine, please look for plugin updates and/or "