import org.gradle.buildinit.plugins.internal.modifiers.ModularizationOption
import org.gradle.work.DisableCachingByDefault
import javax.inject.Inject


@DisableCachingByDefault(because = "Not worth caching")
abstract class GenerateSample : DefaultTask() {

    @get:Input
    abstract val type: Property<String>

    @get:Input
    abstract val modularization: Property<ModularizationOption>

    "linux" : 804,
    "windows" : 935,
    "macOs" : 544
  } ]
}, {
  "scenario" : "org.gradle.performance.regression.android.AndroidIncrementalExecutionPerformanceTest.abi change with configuration caching",
  "durations" : [ {
    "testProject" : "nowInAndroidBuild",
    "linux" : 286,
    "windows" : 427,
    "macOs" : 248
  }, {
    "testProject" : "santaTrackerAndroidBuild",
    "linux" : 649,

    return UnsignedBytes.LexicographicalComparatorHolder.class.getName() + "$UnsafeComparator";
  }

  private static boolean unsafeComparatorAvailable() {
    // See Java Puzzler #44
    // Use reflection instead of catching NoClassDefFoundError
    try {
      Class.forName(unsafeComparatorClassName());
      return true;
    } catch (Error | ClassNotFoundException tolerable) {
      /*
       * We're probably running on Android.

                .findFirst()
                .orElseThrow(() -> new MavenExecutionException(
                        "Could not find a project in reactor matching the request POM", request.getPom()));

        List<MavenProject> modules = requestPomProject.getCollectedProjects() != null
                ? requestPomProject.getCollectedProjects()

# ADR-0002 - Avoid using Java serialization

## Date

2012-12-01

## Context

In Gradle we often need to serialize in-memory objects for caching, or to transmit them across process barriers, etc.
Java serialization is one way to implement this, however, despite its simplicity of implementation, it has several drawbacks:

- **Performance:**
Java's built-in serialization mechanism is often slower compared to other serialization solutions.

TFE_Op* MatMulOp(TFE_Context* ctx, TFE_TensorHandle* a, TFE_TensorHandle* b);

// Return an identity op.
TFE_Op* IdentityOp(TFE_Context* ctx, TFE_TensorHandle* a);

// Return a shape op fetching the shape of `a`.
TFE_Op* ShapeOp(TFE_Context* ctx, TFE_TensorHandle* a);

// Return an allreduce op adding up input tensor `in` from `group_size` workers.

        // POMs are always returned from the file system
        if ("pom".equals(artifact.getExtension())) {
            return project.getFile();
        }

        // Get the matching artifact from the project
        Artifact projectArtifact = findMatchingArtifact(project, artifact);
        if (projectArtifact != null) {
            // If the artifact has been associated to a file, use it

@SuppressWarnings("serial") // uses writeReplace(), not default serialization
@ElementTypesAreNonnullByDefault
final class SingletonImmutableSet<E> extends ImmutableSet<E> {
  // We deliberately avoid caching the asList and hashCode here, to ensure that with
  // compressed oops, a SingletonImmutableSet packs all the way down to the optimal 16 bytes.

  final transient E element;

  SingletonImmutableSet(E element) {

			Optional:    true,
			Type:        "string",
		},
		config.HelpKV{
			Key:         ClaimUserinfo,
			Description: `Enable fetching claims from UserInfo Endpoint for authenticated user` + defaultHelpPostfix(ClaimUserinfo),
			Optional:    true,
			Type:        "on|off",
		},
		config.HelpKV{
			Key:         KeyCloakRealm,

setup_file() {
    cd /tf/tensorflow
    bazel version  # Start the bazel server
}

# Do a bazel query specifically for the licenses checker. It searches for
# targets matching the provided query, which start with // or @ but not
# //tensorflow (so it looks for //third_party, //external, etc.), and then
# gathers the list of all packages (i.e. directories) which contain those
# targets.