// Test only exports of the monitoring Cell Reader API which allows tests to
// read current values from streamz counters defined in other modules.
//
// The code under test will have created streamz counters like this:
// auto* streamz = tensorflow::monitoring::Counter<1>::New("name",
// "description", "label");
// and then incremented that counter for various values of label:
// streamz->GetCell("label-value")->IncrementBy(1);
//

        AtomicInteger counter1 = new AtomicInteger(0);
        AtomicInteger counter2 = new AtomicInteger(0);

        executor1.addShutdownListener(() -> counter1.incrementAndGet());
        executor2.addShutdownListener(() -> counter2.incrementAndGet());

        executor1.shutdown();
        assertEquals(1, counter1.get());
        assertEquals(0, counter2.get());

        executor2.shutdown();

                strs ->
                    new CountsHashCodeAndEquals(
                        String.join("", strs),
                        () -> counter.hashCode++,
                        () -> counter.equals++,
                        () -> counter.compareTo++)));
    assertEquals(
        result.get(0).delegateString.hashCode(),
        result.get(result.size() - 1).delegateString.hashCode());
    return result;

        final int maxRequests = fessConfig.getRateLimitRequestsPerWindowAsInteger();

        AtomicLong counter = requestCounters.getIfPresent(ip);
        if (counter == null) {
            counter = new AtomicLong(0);
            requestCounters.put(ip, counter);
        }

        final long count = counter.incrementAndGet();

        if (logger.isDebugEnabled()) {

    public void test_concurrent_stores() {
        // Test thread-safe implementation
        final AtomicLong counter = new AtomicLong(0);

        IndexUpdateCallback callback = new IndexUpdateCallback() {
            @Override
            public void store(DataStoreParams paramMap, Map<String, Object> dataMap) {
                counter.incrementAndGet();
            }

            @Override
            public long getDocumentSize() {

   * Multiple threads using same array of counters successfully update a number of times equal to
   * total count
   */
  public void testCountingInMultipleThreads() throws InterruptedException {
    AtomicDoubleArray aa = new AtomicDoubleArray(SIZE);
    for (int i = 0; i < SIZE; i++) {
      aa.set(i, (double) COUNTDOWN);
    }
    Counter c1 = new Counter(aa);
    Counter c2 = new Counter(aa);
    Thread t1 = newStartedThread(c1);

   * Multiple threads using same array of counters successfully update a number of times equal to
   * total count
   */
  public void testCountingInMultipleThreads() throws InterruptedException {
    AtomicDoubleArray aa = new AtomicDoubleArray(SIZE);
    for (int i = 0; i < SIZE; i++) {
      aa.set(i, (double) COUNTDOWN);
    }
    Counter c1 = new Counter(aa);
    Counter c2 = new Counter(aa);
    Thread t1 = newStartedThread(c1);

* the lifespan event: das Lifespan-Event
* the lock: der Lock
* the locking: das Locking
* the mobile application: die Mobile-Anwendung
* the model object: das Modellobjekt
* the mounting: das Mounten
* mounted: gemountet
* the origin: das Origin
* the override: Die Überschreibung
* the parameter: der Parameter
* the parameters (plural): die Parameter
* the function parameter: der Funktionsparameter

# Unteranwendungen – Mounts { #sub-applications-mounts }

Wenn Sie zwei unabhängige FastAPI-Anwendungen mit deren eigenen unabhängigen OpenAPI und deren eigenen Dokumentationsoberflächen benötigen, können Sie eine Hauptanwendung haben und dann eine (oder mehrere) Unteranwendung(en) „mounten“.

## Eine **FastAPI**-Anwendung mounten { #mounting-a-fastapi-application }

class ContributorsResults(BaseModel):
    contributors: Counter[str]
    translation_reviewers: Counter[str]
    translators: Counter[str]
    authors: dict[str, Author]


def get_contributors(pr_nodes: list[PullRequestNode]) -> ContributorsResults:
    contributors = Counter[str]()
    translation_reviewers = Counter[str]()
    translators = Counter[str]()
    authors: dict[str, Author] = {}