package org.gradle.kotlin.dsl.samples.androidstudio

import android.support.v7.app.AppCompatActivity
import android.os.Bundle

class MainActivity : AppCompatActivity() {

    override fun onCreate(savedInstanceState: Bundle?) {
        super.onCreate(savedInstanceState)
        setContentView(R.layout.activity_main)
    }

commands: [{
    executable: gradle
    args: "bundle clean"
    flags: --build-cache
},{
    executable: gradle
    args: "bundle printBundle"
    flags: --build-cache
    expected-output-file: cacheableBundleTask.out
    allow-additional-output: true

package org.gradle.kotlin.dsl.samples.androidstudio

import android.support.v7.app.AppCompatActivity
import android.os.Bundle

class MainActivity : AppCompatActivity() {

    override fun onCreate(savedInstanceState: Bundle?) {
        super.onCreate(savedInstanceState)
        setContentView(R.layout.activity_main)
    }

    /**
     * Returns the provider for the corresponding bundle alias.
     * <p>
     * Note: Bundle will be automatically normalized: '-', '_' and '.' will be replaced with '.'
     * </p>
     * @param alias the alias of the bundle
     */
    Optional<Provider<ExternalModuleDependencyBundle>> findBundle(String alias);

    /**

namespace tf {
namespace libtf {

// TODO(b/190837282): All return None's become errors.
Handle LoadModule(Object self, String saved_model) {
  // Parse arguments.
  // Load SavedModel into memory.
  tensorflow::SavedModelV2Bundle bundle;
  tensorflow::Status status =
      tensorflow::SavedModelV2Bundle::Load(saved_model.get(), &bundle);
  if (!status.ok()) {
    return None();
  }
  // Fetch MLIR context

                      const std::unordered_set<string>& tags,
                      SavedModelBundle* bundle);

/// Loads a SavedModel from the specified export directory. The MetaGraphDef
/// to be loaded is identified by the supplied tags, corresponding exactly to
/// the set of tags used at SavedModel build time. Stores a SavedModel bundle
/// in *bundle with a session created from the requested MetaGraphDef if found.
///

        assertUnique(libraries, "library aliases", "");
        assertUnique(bundles, "dependency bundles", "Bundle");
        assertUnique(versions, "dependency versions", "Version");
        assertUnique(plugins, "plugins", "Plugin");
        int size = libraries.size() + bundles.size() + versions.size() + plugins.size();

    tags_override = {
        "add.pbtxt": ["no_rocm"],
        "conv_2d.pbtxt": ["no_rocm"],
        "fake_quant_per_channel.pbtxt": ["no_rocm"],
    },
    test_file_exts = [
        "pbtxt",
    ],
)

# Bundle together all of the test utilities that are used by tests.
filegroup(
    name = "test_utilities",
    testonly = True,
    data = [
        "//tensorflow/compiler/mlir/lite:flatbuffer_to_string",

Here is an example:

```go
// Define a new fuzzer. Must have Fuzz prefix
func FuzzBuildHTTP(f *testing.F) {
  fuzz.Fuzz(f, func(fg fuzz.Helper) {
    // Setup a few structs for testing
    bundle := fuzz.Struct[trustdomain.Bundle](fg)
        // This one has a custom validator
    push := fuzz.Struct[*model.PushContext](fg, validatePush)

    /**
     * Declares a bundle of dependencies. A bundle consists of a name for the bundle,
     * and a list of aliases. The aliases must correspond to aliases defined via
     * the {@code library()} methods.
     *
     * @param alias the alias of the bundle
     * @param aliases the aliases of the dependencies included in the bundle
     * @see #library(String, String, String)