/*
   * The maximum number of bits in a square root for which we'll precompute an explicit half power
   * of two. This can be any value, but higher values incur more class load time and linearly
   * increasing memory consumption.
   */
  @VisibleForTesting static final int SQRT2_PRECOMPUTE_THRESHOLD = 256;

  @VisibleForTesting
  static final BigInteger SQRT2_PRECOMPUTED_BITS =

   * one of those methods.
   */
  open fun responseFailed(
    call: Call,
    ioe: IOException,
  ) {
  }

  /**
   * Invoked immediately after a call has completely ended.  This includes delayed consumption
   * of response body by the caller.
   *
   * This method is always invoked after [callStart].
   */
  open fun callEnd(call: Call) {
  }

  /**
   * Invoked when a call fails permanently.

	return x.addVersion(xlMetaV2Version{ObjectV1: m, Type: LegacyType, WrittenByVersion: globalVersionUnix})
}

// ToFileInfo converts xlMetaV2 into a common FileInfo datastructure
// for consumption across callers.
func (x xlMetaV2) ToFileInfo(volume, path, versionID string, inclFreeVers, allParts bool) (fi FileInfo, err error) {
	var uv uuid.UUID
	if versionID != "" && versionID != nullVersionID {

   * list (counter-intuitive, but mathematically consistent).
   *
   * <p><i>Performance notes:</i> while the cartesian product of sets of size {@code m, n, p} is a
   * set of size {@code m x n x p}, its actual memory consumption is much smaller. When the
   * cartesian set is constructed, the input sets are merely copied. Only as the resulting set is
   * iterated are the individual lists created, and these are not retained after iteration.
   *

environment variables into a container’s command-line args.
  * Stable version of Heapster which scales up to 1000 nodes: more metrics, reduced
latency, reduced cpu/memory consumption (~4mb per monitored node).
  * Pods now have a security context which allows users to specify:
     * attributes which apply to the whole pod:
        * User ID
        * Whether all containers should be non-root

   * list (counter-intuitive, but mathematically consistent).
   *
   * <p><i>Performance notes:</i> while the cartesian product of sets of size {@code m, n, p} is a
   * set of size {@code m x n x p}, its actual memory consumption is much smaller. When the
   * cartesian set is constructed, the input sets are merely copied. Only as the resulting set is
   * iterated are the individual lists created, and these are not retained after iteration.
   *

* fix leaking memory backed volumes of terminated pods ([#36779](https://github.com/kubernetes/kubernetes/pull/36779), [@sjenning](https://github.com/sjenning))
* Default logging subsystem's resiliency was greatly improved, fluentd memory consumption and OOM error probability was reduced. ([#37021](https://github.com/kubernetes/kubernetes/pull/37021), [@Crassirostris](https://github.com/Crassirostris))



# v1.5.0-beta.1

const (
	// Keep the completed/failed job stats 3 days before removing it
	oldJobsExpiration = 3 * 24 * time.Hour

	redactedText = "**REDACTED**"
)

// BatchJobRequest this is an internal data structure not for external consumption.
type BatchJobRequest struct {
	ID        string               `yaml:"-" json:"name"`
	User      string               `yaml:"-" json:"user"`
	Started   time.Time            `yaml:"-" json:"started"`

kubelet now allows the use of XFS quotas (on XFS and suitably configured ext4fs filesystems) to monitor storage consumption for ephemeral storage.  This method of monitoring consumption, which is currently available only for `emptyDir` volumes, is faster and more accurate than the old method of walking the filesystem tree. Note that it does not enforce limits, it only monitors consumption. To utilize this functionality, set the feature gate `LocalStorageCapacityIsolationFSQuotaMonitoring=true`. For...

* Removed metrics api group ([#26073](https://github.com/kubernetes/kubernetes/pull/26073), [@piosz](https://github.com/piosz))
* Fixed check in kubectl autoscale: cpu consumption can be higher than 100%. ([#26162](https://github.com/kubernetes/kubernetes/pull/26162), [@jszczepkowski](https://github.com/jszczepkowski))