echo -e "\n---\n"
  kubectl create configmap -n istio-system istio-grafana-dashboards \
    --dry-run=client -oyaml \
    --from-file=pilot-dashboard.json="${TMP}/pilot-dashboard.gen.json" \
    --from-file=ztunnel-dashboard.json="${TMP}/ztunnel-dashboard.gen.json" \
    --from-file=istio-performance-dashboard.json="${TMP}/istio-performance-dashboard.json"

  echo -e "\n---\n"

package once

// Singleton contains a pointer to T that must be set once.
// Until the value is set all Get() calls will block.
type Singleton[T any] struct {
	v   *T
	set chan struct{}
}

// NewSingleton creates a new unset singleton.
func NewSingleton[T any]() *Singleton[T] {
	return &Singleton[T]{set: make(chan struct{}), v: nil}
}

// Get will return the singleton value.
func (s *Singleton[T]) Get() *T {
	<-s.set
	return s.v

#define TENSORFLOW_C_EAGER_C_API_REMOTE_TEST_UTIL_H_

// Run a function containing a MatMul op and check its output.
// If heavy_load_on_streaming_rpc is true, send some rpc requests before the one
// which creates a remote input, to simulate a scenario that the remote input
// is not ready when we start running an op or a function.
void TestRemoteExecuteSilentCopies(bool async, bool remote, bool func,

    //
    // 2) Validate local repository directory is accessible.
    //
    // 3) Create RepositorySystemSession.
    //
    // 4) Create MavenSession.
    //
    // 5) Execute AbstractLifecycleParticipant.afterSessionStart(session)
    //
    // 6) Get reactor projects looking for general POM errors
    //
    // 7) Create ProjectDependencyGraph using trimming which takes into account --projects and reactor mode.

    Object listener = new Object();
    ListenerCallQueue<Object> queue = new ListenerCallQueue<>();
    queue.addListener(listener, directExecutor());

    Multiset<Object> counters = ConcurrentHashMultiset.create();
    queue.enqueue(incrementingEvent(counters, listener, 1));
    queue.enqueue(incrementingEvent(counters, listener, 2));
    queue.enqueue(incrementingEvent(counters, listener, 3));

    Object listener = new Object();
    ListenerCallQueue<Object> queue = new ListenerCallQueue<>();
    queue.addListener(listener, directExecutor());

    Multiset<Object> counters = ConcurrentHashMultiset.create();
    queue.enqueue(incrementingEvent(counters, listener, 1));
    queue.enqueue(incrementingEvent(counters, listener, 2));
    queue.enqueue(incrementingEvent(counters, listener, 3));

                   const char* device_type);

// Create a ServerDef with the given `job_name` and add `num_tasks` tasks in it.
tensorflow::ServerDef GetServerDef(const tensorflow::string& job_name,
                                   int num_tasks);

// Create a ServerDef with job name "localhost" and add `num_tasks` tasks in it.
tensorflow::ServerDef GetServerDef(int num_tasks);

# ~~~~

# Home page
# GET     /                           controllers.Application.index()
GET         /suggest/get                        controllers.Suggest.get()
GET         /suggest/create/content             controllers.Suggest.createContent()
GET         /suggest/create/suggest/content     controllers.Suggest.createSuggestFromContent()


GET        /                    controllers.Assets.at(path="/public", s="index.html")

    populate(table, data);
    return table;
  }

  public void testRowKeySetOrdering() {
    table = create("foo", 3, 'a', "bar", 1, 'b', "foo", 2, 'c');
    assertThat(table.rowKeySet()).containsExactly("foo", "bar").inOrder();
  }

  public void testRowOrdering() {
    table = create("foo", 3, 'a', "bar", 1, 'b', "foo", 2, 'c');
    assertThat(table.row("foo").keySet()).containsExactly(2, 3).inOrder();
  }

  }

  @Override
  public T create(Object... elements) {
    return generator.create(elements);
  }

  @Override
  public E[] createArray(int length) {
    return generator.createArray(length);
  }

  @Override
  public T createTestSubject() {
    Collection<E> elements = getSampleElements(getCollectionSize().getNumElements());
    return generator.create(elements.toArray());
  }

  @Override