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/**
 * A helper which does some thread-safe operations for aggregate futures, which must be implemented
 * differently in GWT. Namely:
 *
 * <ul>
 *   <li>Lazily initializes a set of seen exceptions
 *   <li>Decrements a counter atomically
 * </ul>
 */
@GwtCompatible
@ReflectionSupport(value = ReflectionSupport.Level.FULL)
abstract class AggregateFutureState<OutputT extends @Nullable Object>
    extends AbstractFuture.TrustedFuture<OutputT> {

panic("crypto/cipher: incorrect nonce length given to GCM") } counter := byteorder.BEUint64(nonce[len(nonce)-8:]) if !g.ready { // In the first call, the counter is zero, so we learn the XOR mask. g.ready = true g.mask = counter } counter ^= g.mask // Ensure the counter is monotonically increasing. if counter == math.MaxUint64 { panic("crypto/cipher: counter wrapped") } if counter < g.next { panic("crypto/cipher: counter decreased") } g.next = counter + 1 fips140.RecordApproved() return g.g.sealAfterIndicator(dst,...

        requireNonNull(thread);
        if (nameFormat != null) {
          // requireNonNull is safe because we create `count` if (and only if) we have a nameFormat.
          thread.setName(format(nameFormat, requireNonNull(count).getAndIncrement()));
        }
        if (daemon != null) {
          thread.setDaemon(daemon);
        }
        if (priority != null) {

Offline Mode Design

* UPDATE: 18-April-2005

  We cannot take the approach outlined below of detecting which remote
  repositories are "really" offline, since offline mode is more of a behavior,
  and this will lead to counter-intuitive results. A different feature may exist
  unimplemented, which is to detect when the network is down and provide better
  feedback for that case. However, when offline mode is declared, nothing

}

func (k *KMS) updateMetrics(err error, latency time.Duration) {
	// First, update the latency histogram
	// Therefore, find the first bucket that holds the counter for
	// requests with a latency at least as large as the given request
	// latency and update its and all subsequent counters.
	bucket := slices.IndexFunc(k.latencyBuckets, func(b time.Duration) bool { return latency < b })
	if bucket < 0 {
		bucket = len(k.latencyBuckets) - 1
	}

byteorder.BEUint32(nonce[:4]) { panic("crypto/cipher: GCM nonce prefix changed") } counter := byteorder.BEUint64(nonce[len(nonce)-8:]) if !g.startReady { // The first invocation sets the starting counter, if not fixed. g.startReady = true g.start = counter } counter -= g.start // Ensure the counter is strictly increasing. if counter == math.MaxUint64 { panic("crypto/cipher: counter exhausted") } if counter < g.next { panic("crypto/cipher: counter decreased or remained the same") } g.next = counter + 1 } fips140.RecordApproved()...

   * Future}.
   *
   * <p>Usage example:
   *
   * {@snippet :
   * ListenableFuture<Integer> fetchCounterFuture = ...;
   *
   * // Falling back to a zero counter in case an exception happens when
   * // processing the RPC to fetch counters.
   * ListenableFuture<Integer> faultTolerantFuture = Futures.catching(
   *     fetchCounterFuture, FetchException.class, x -> 0, directExecutor());
   * }
   *

   * c, d, e]} with a partition size of 3 yields {@code [[a, b, c], [d, e]]} -- an outer list
   * containing two inner lists of three and two elements, all in the original order.
   *
   * <p>The outer list is unmodifiable, but reflects the latest state of the source list. The inner

  - *apiserver_cache_list_total*: Counter of LIST requests served from watch cache, broken down by resource_prefix and index_name
  - *apiserver_cache_list_fetched_objects_total*: Counter of objects read from watch cache in the course of serving a LIST request, broken down by resource_prefix and index_name