*
 * <p>As with {@link Preconditions}, {@code Verify} uses {@link Strings#lenientFormat} to format
 * error message template strings. This only supports the {@code "%s"} specifier, not the full range
 * of {@link java.util.Formatter} specifiers. However, note that if the number of arguments does not
 * match the number of occurrences of {@code "%s"} in the format string, {@code Verify} will still

		writeErrorResponseJSON(ctx, w, toAdminAPIErr(ctx, err), r.URL)
		return
	}
	// Report the ILMExpiryStats only if at least one site has replication of ILM expiry enabled
	var replicateILMExpiry bool
	for _, site := range info.Sites {
		if site.ReplicateILMExpiry {
			replicateILMExpiry = true
			break
		}
	}
	if !replicateILMExpiry {
		// explicitly send nil for ILMExpiryStats
		info.ILMExpiryStats = nil
	}

		// in case it was modified by a new target.
		logChLock.Lock()
		currentGlobalBuffer, ok := logChBuffers[name]
		logChLock.Unlock()
		if !ok {
			return
		}

		for _, v := range entries {
			select {
			case currentGlobalBuffer <- v:
			default:
			}
		}

		if mainWorker {
		drain:
			for {
				select {
				case v, ok := <-h.logCh:
					if !ok {

	values := make(url.Values)
	values.Set(peerRESTMetricsTypes, strconv.FormatUint(uint64(t), 10))
	for disk := range opts.disks {
		values.Add(peerRESTDisk, disk)
	}
	for host := range opts.hosts {
		values.Add(peerRESTHost, host)
	}
	values.Set(peerRESTJobID, opts.jobID)
	values.Set(peerRESTDepID, opts.depID)

- Fixed dry-run output in kubectl apply --prune ([#69344](https://github.com/kubernetes/kubernetes/pull/69344), [@zegl](https://github.com/zegl))
- The kubectl wait command must handle when a watch returns an error vs closing by printing out the error and retrying the watch. ([#69389](https://github.com/kubernetes/kubernetes/pull/69389), [@smarterclayton](https://github.com/smarterclayton))

        if (lowerBounds.length == 0) { // ? extends something changes to capture-of
          return captureAsTypeVariable(wildcardType.getUpperBounds());
        } else {
          // TODO(benyu): handle ? super T somehow.
          return type;
        }
      }
      throw new AssertionError("must have been one of the known types");
    }

    TypeVariable<?> captureAsTypeVariable(Type[] upperBounds) {

   */
  /*
   * By declaring <T> instead of <T extends @Nullable Object>, we declare this method as requiring a
   * stream whose elements are non-null. However, the method goes out of its way to still handle
   * nulls in the stream. This means that the method can safely be used with a stream that contains
   * nulls as long as the *last* element is *not* null.
   *

- Fixes a rare race condition handling requests that timeout ([#107460](https://github.com/kubernetes/kubernetes/pull/107460), [@liggitt](https://github.com/liggitt)) [SIG API Machinery]
- Mount-utils: Detect potential stale file handle ([#107040](https://github.com/kubernetes/kubernetes/pull/107040), [@andyzhangx](https://github.com/andyzhangx)) [SIG Storage]

### Other (Cleanup or Flake)

   *
   * <p>This must be a (2^n)-1 as it is used as a mask.
   */
  static final int DRAIN_THRESHOLD = 0x3F;

  /**
   * Maximum number of entries to be drained in a single cleanup run. This applies independently to
   * the cleanup queue and both reference queues.
   */
  // TODO(fry): empirically optimize this
  static final int DRAIN_MAX = 16;

  // Fields

  /**

* **Deep Learning**: this is a sub-field of Machine Learning, so, the same applies. It's just that there is not a single spreadsheet of numbers to multiply, but a huge set of them, and in many cases, you use a special processor to build and / or use those models.

### Concurrency + Parallelism: Web + Machine Learning