// 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);
//

  @Override
  public int setCount(E element, int count) {
    checkIsE(element);
    checkNonnegative(count, "count");
    int index = element.ordinal();
    int oldCount = counts[index];
    counts[index] = count;
    size += count - oldCount;
    if (oldCount == 0 && count > 0) {
      distinctElements++;
    } else if (oldCount > 0 && count == 0) {
      distinctElements--;
    }
    return oldCount;

	sync.RWMutex
}

// Inc increments the api stats counter.
func (stats *HTTPAPIStats) Inc(api string) {
	if stats == nil {
		return
	}
	stats.Lock()
	defer stats.Unlock()
	if stats.apiStats == nil {
		stats.apiStats = make(map[string]int)
	}
	stats.apiStats[api]++
}

// Dec increments the api stats counter.
func (stats *HTTPAPIStats) Dec(api string) {
	if stats == nil {

   * exception is thrown, this exception is used as the result of the output {@code Future}.
   *
   * <p>Usage example:
   *
   * {@snippet :
   * // Falling back to a zero counter in case an exception happens when processing the RPC to fetch
   * // counters.
   * ListenableFuture<Integer> faultTolerantFuture =
   *     fetchCounters().catching(FetchException.class, x -> 0, directExecutor());
   * }
   *

  }

  private static class Counter<N extends Number> {
    @Keep List<N> counts;
  }

  public void testWildcardCaptured_typeVariableDeclaresTypeBound_wildcardHasNoExplicitUpperBound()
      throws Exception {
    TypeToken<Counter<?>> type = new TypeToken<Counter<?>>() {};
    TypeToken<?> fieldType =
        type.resolveType(Counter.class.getDeclaredField("counts").getGenericType());

{"attributes":{"fields":"[{\"name\":\"_id\",\"type\":\"string\",\"esTypes\":[\"_id\"],\"count\":0,\"scripted\":false,\"searchable\":true,\"aggregatable\":true,\"readFromDocValues\":false},{\"name\":\"_index\",\"type\":\"string\",\"esTypes\":[\"_index\"],\"count\":0,\"scripted\":false,\"searchable\":true,\"aggregatable\":true,\"readFromDocValues\":false},{\"name\":\"_score\",\"type\":\"number\",\"count\":0,\"scripted\":false,\"searchable\":false,\"aggregatable\":false,\"readFromDocValues\":fal...

    /** Constructs an instance with all counts initialized to zero. */
    public SimpleStatsCounter() {}

    /**
     * @since 11.0
     */
    @Override
    public void recordHits(int count) {
      hitCount.add(count);
    }

    /**
     * @since 11.0
     */
    @Override
    public void recordMisses(int count) {
      missCount.add(count);
    }

     * Stores a crawling configuration in the session-based storage with a unique identifier.
     * The generated session count ID combines the session ID with an incrementing counter.
     *
     * @param sessionId the session identifier
     * @param crawlingConfig the crawling configuration to store
     * @return the unique session count ID that can be used to retrieve the stored configuration
     */

    final Object[] elements;
    final int[] counts;

    // "extends Object" works around https://github.com/typetools/checker-framework/issues/3013
    SerializedForm(Multiset<? extends Object> multiset) {
      int distinct = multiset.entrySet().size();
      elements = new Object[distinct];
      counts = new int[distinct];
      int i = 0;

    /*
     * We keep an array of elements and counts.  Periodically -- when we need more room in the
     * array, or when we're building, or the like -- we sort, deduplicate, and combine the counts.
     * Negative counts indicate a setCount operation with ~counts[i].
     */

    private final Comparator<? super E> comparator;

    @VisibleForTesting E[] elements;
    private int[] counts;

    /*