* This is a big deal - we're talking factors of 2-8 in microbenchmarks, not just 10-20%. (This is
   * a hotspot optimizer bug, which should be fixed, but that's a separate, big project).
   *
   * The coding pattern above is heavily used in java.util, e.g. in ArrayList. There is a
   * RangeCheckMicroBenchmark in the JDK that was used to test this.
   *

ght);\n    max-height: 100%;\n    border-top: var(--bs-offcanvas-border-width) solid var(--bs-offcanvas-border-color);\n    transform: translateY(100%);\n  }\n  .offcanvas-sm.showing, .offcanvas-sm.show:not(.hiding) {\n    transform: none;\n  }\n  .offcanvas-sm.showing, .offcanvas-sm.hiding, .offcanvas-sm.show {\n    visibility: visible;\n  }\n}\n@media (min-width: 576px) {\n  .offcanvas-sm {\n    --bs-offcanvas-height: auto;\n    --bs-offcanvas-border-width: 0;\n    background-color: transparent...

// into smaller bulks if some object names are found to be duplicated in the delete list, splitting
// into smaller bulks will avoid holding twice the write lock of the duplicated object names.
func (er erasureObjects) DeleteObjects(ctx context.Context, bucket string, objects []ObjectToDelete, opts ObjectOptions) ([]DeletedObject, []error) {
	if !opts.NoAuditLog {

	if !p.initialized() {
		return errServerNotInitialized
	}

	mrfRec, err := p.loadMRF()
	if err != nil {
		return err
	}

	// queue replication heal in a goroutine to avoid holding up mrf save routine
	go func() {
		for vID, e := range mrfRec.Entries {
			ctx, cancel := context.WithTimeout(p.ctx, time.Second) // Do not waste more than a second on this.

	* Support running Ubuntu image on GCE node ([#44744](https://github.com/kubernetes/kubernetes/pull/44744), [@yguo0905](https://github.com/yguo0905))

  * The gce metadata server can now be hidden behind a proxy, hiding the kubelet's token. ([#45565](https://github.com/kubernetes/kubernetes/pull/45565), [@Q-Lee](https://github.com/Q-Lee))

* OpenStack:

 ([#64792](https://github.com/kubernetes/kubernetes/pull/64792), [@luxas](https://github.com/luxas))

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Kubelet now correctly takes into account the resources of running and terminating pods when deciding to accept new pods, since terminating pods are still holding on to those resources. This stricter handling may surface to end users as pod rejections when creating pods that are scheduled to mostly full nodes that have other terminating pods holding the resources the new pods need. The most likely error would be a pod set to `Failed` phase with reason set to `OutOfCpu` or `OutOfMemory`, but any resource...

EVENT_KEY = `.${DATA_KEY}`\nconst DATA_API_KEY = '.data-api'\nconst EVENT_LOAD_DATA_API = `load${EVENT_KEY}${DATA_API_KEY}`\nconst ESCAPE_KEY = 'Escape'\n\nconst CLASS_NAME_SHOW = 'show'\nconst CLASS_NAME_SHOWING = 'showing'\nconst CLASS_NAME_HIDING = 'hiding'\nconst CLASS_NAME_BACKDROP = 'offcanvas-backdrop'\nconst OPEN_SELECTOR = '.offcanvas.show'\n\nconst EVENT_SHOW = `show${EVENT_KEY}`\nconst EVENT_SHOWN = `shown${EVENT_KEY}`\nconst EVENT_HIDE = `hide${EVENT_KEY}`\nconst EVENT_HIDE_PREVENTED = `hi...

2F15          ; mapped                 ; 531A          # 3.0  KANGXI RADICAL RIGHT OPEN BOX
2F16          ; mapped                 ; 5338          # 3.0  KANGXI RADICAL HIDING ENCLOSURE
2F17          ; mapped                 ; 5341          # 3.0  KANGXI RADICAL TEN
2F18          ; mapped                 ; 535C          # 3.0  KANGXI RADICAL DIVINATION