* vSphere Cloud Provider Implementation  ([#24703](https://github.com/kubernetes/kubernetes/pull/24703), [@dagnello](https://github.com/dagnello))
* Added JobTemplate, a preliminary step for ScheduledJob and Workflow ([#21675](https://github.com/kubernetes/kubernetes/pull/21675), [@soltysh](https://github.com/soltysh))

s=t=e,this.now=(this.end-this.start)*t+this.start,this.options.step&&this.options.step.call(this.elem,this.now,this),n&&n.set?n.set(this):at.propHooks._default.set(this),this}}).init.prototype=at.prototype,(at.propHooks={_default:{get:function(e){var t;return 1!==e.elem.nodeType||null!=e.elem[e.prop]&&null==e.elem.style[e.prop]?e.elem[e.prop]:(t=ce.css(e.elem,e.prop,""))&&"auto"!==t?t:0},set:function(e){ce.fx.step[e.prop]?ce.fx.step[e.prop](e):1!==e.elem.nodeType||!ce.cssHooks[e.prop]&&null==e.e...

s=t=e,this.now=(this.end-this.start)*t+this.start,this.options.step&&this.options.step.call(this.elem,this.now,this),n&&n.set?n.set(this):at.propHooks._default.set(this),this}}).init.prototype=at.prototype,(at.propHooks={_default:{get:function(e){var t;return 1!==e.elem.nodeType||null!=e.elem[e.prop]&&null==e.elem.style[e.prop]?e.elem[e.prop]:(t=ce.css(e.elem,e.prop,""))&&"auto"!==t?t:0},set:function(e){ce.fx.step[e.prop]?ce.fx.step[e.prop](e):1!==e.elem.nodeType||!ce.cssHooks[e.prop]&&null==e.e...

flipOrder = clockwise(placement);\n      break;\n    case BEHAVIORS.COUNTERCLOCKWISE:\n      flipOrder = clockwise(placement, true);\n      break;\n    default:\n      flipOrder = options.behavior;\n  }\n\n  flipOrder.forEach((step, index) => {\n    if (placement !== step || flipOrder.length === index + 1) {\n      return data;\n    }\n\n    placement = data.placement.split('-')[0];\n    placementOpposite = getOppositePlacement(placement);\n\n    const popperOffsets = data.offsets.popper;\n    const...

HSPLkotlin/random/Random;-><init>()V
HSPLkotlin/ranges/IntProgression;-><init>(III)V
HSPLkotlin/ranges/IntRange;-><clinit>()V
HSPLkotlin/ranges/IntRange;-><init>(II)V
HSPLkotlin/ranges/RangesKt___RangesKt;->step(Lkotlin/ranges/IntProgression;I)Lkotlin/ranges/IntProgression;
HSPLkotlin/ranges/RangesKt___RangesKt;->until(II)Lkotlin/ranges/IntRange;
HSPLkotlin/sequences/ConstrainedOnceSequence;-><init>(Lkotlin/sequences/Sequence;)V

Kubeadm: Expose the `kubeadm join` workflow as phases

- The `kubeadm join` command can now be used in phases. Similar to the work that was done for `kubeadm init` in 1.13, in 1.14 the `join` phases can be now executed step-by-step/selectively using the `kubeadm join phase` sub-command. This makes it possible to further customize the workflow of joining nodes to the cluster.
kubernetes/kubeadm: [#1204](https://github.com/kubernetes/kubeadm/issues/1204)

- Bump metrics-server to v0.3.5 ([#83015](https://github.com/kubernetes/kubernetes/pull/83015), [@olagacek](https://github.com/olagacek))
- Dashboard: disable the dashboard Deployment on non-Linux nodes. This step is required to support Windows worker nodes. ([#82975](https://github.com/kubernetes/kubernetes/pull/82975), [@wawa0210](https://github.com/wawa0210))

rokeMiterlimit","strokeOpacity","origName","setProperty","isFinite","getBoundingClientRect","scrollboxSizeBuggy","left","margin","padding","border","prefix","suffix","expand","expanded","parts","propHooks","run","percent","eased","duration","pos","step","fx","scrollTop","scrollLeft","linear","p","swing","cos","PI","fxNow","inProgress","opt","rfxtypes","rrun","schedule","hidden","requestAnimationFrame","interval","tick","createFxNow","genFx","includeWidth","createTween","animation","Animation","t...

                    # exists. Serializes directly to JSON bytes via Pydantic's
                    # Rust core, skipping the intermediate Python dict +
                    # json.dumps() step.
                    use_dump_json = response_field is not None and isinstance(
                        response_class, DefaultPlaceholder
                    )
                    content = await serialize_response(

  To avoid breaking existing pods that use matchLabelKeys, the current scheduler behavior will be preserved until it is removed in v1.34. 
  Therefore, do not upgrade your scheduler directly from v1.32 to v1.34. 
  Instead, upgrade step-by-step (from v1.32 to v1.33, then to v1.34), 
  ensuring that any pods created at v1.32 with matchLabelKeys are either removed or already scheduled by the time you reach v1.34.