* @author Louis Wasserman
 */
@GwtCompatible
@ElementTypesAreNonnullByDefault
public final class Comparators {
  private Comparators() {}

  /**
   * Returns a new comparator which sorts iterables by comparing corresponding elements pairwise
   * until a nonzero result is found; imposes "dictionary order." If the end of one iterable is
   * reached, but not the other, the shorter iterable is considered to be less than the longer one.

			// set maxUsedPct to the value from the disk with the least space percentage.
			if pctUsed := int(disk.Used * 100 / disk.Total); pctUsed > maxUsedPct {
				maxUsedPct = pctUsed
			}
		}

		// Since we are comparing pools that may have a different number of sets
		// we multiply by the number of sets in the pool.
		// This will compensate for differences in set sizes
		// when choosing destination pool.

func equals(k1 string, keys ...string) bool {
	for _, k2 := range keys {
		if strings.EqualFold(k1, k2) {
			return true
		}
	}
	return false
}

// returns replicationAction by comparing metadata between source and target
func getReplicationAction(oi1 ObjectInfo, oi2 minio.ObjectInfo, opType replication.Type) replicationAction {

These examples show when a Go implementation can use that instruction:
</p>

<pre>
// FMA allowed for computing r, because x*y is not explicitly rounded:
r  = x*y + z
r  = z;   r += x*y
t  = x*y; r = t + z
*p = x*y; r = *p + z
r  = x*y + float64(z)

// FMA disallowed for computing r, because it would omit rounding of x*y:
r  = float64(x*y) + z
r  = z; r += float64(x*y)
t  = float64(x*y); r = t + z

### Software development platform

This is a general purpose platform that builds on the core automation platform to add support for the automation of software development.
This includes work such as compiling, testing and documenting software, plus sharing that software via publishing and dependency management.
This platform is agnostic to what kind of software is being developed.

#### `lru_cache` Technical Details

`@lru_cache` modifies the function it decorates to return the same value that was returned the first time, instead of computing it again, executing the code of the function every time.

#     rbe_linux: General RBE options used on all linux builds.
#     rbe_win_base:   General RBE options used on all Windows builds. Not to be used standalone.
#     rbe_win_clang:  Options specific to compiling using Clang.
#
#     rbe_linux_cpu:                  RBE options to build with only CPU support.
#     rbe_linux_cuda:                 RBE options to build with GPU support using clang.

			into.Compacted = true
			newFolders = append(newFolders, existingFolders...)
			existingFolders = nil
			if f.dataUsageScannerDebug {
				console.Debugf(scannerLogPrefix+" Preemptively compacting: %v, entries: %v\n", folder.name, len(existingFolders)+len(newFolders))
			}
		}

		scanFolder := func(folder cachedFolder) {
			if contextCanceled(ctx) {
				return
			}
			dst := into

 *   Updated `tf.keras.layers.BatchNormalization` to support masking of the inputs (`mask` argument) when computing the mean and variance.
 *   Add `tf.keras.layers.Identity`, a placeholder pass-through layer.
 *   Add `show_trainable` option to `tf.keras.utils.model_to_dot` to display layer trainable status in model plots.

* ⬆ Bump dawidd6/action-download-artifact from 3.0.0 to 3.1.4. PR [#11310](https://github.com/tiangolo/fastapi/pull/11310) by [@dependabot[bot]](https://github.com/apps/dependabot).
* ♻️ Refactor computing FastAPI People, include 3 months, 6 months, 1 year, based on comment date, not discussion date. PR [#11304](https://github.com/tiangolo/fastapi/pull/11304) by [@tiangolo](https://github.com/tiangolo).