or a list/tuple of arrays into two `Dataset` objects (e.g. train/test).
    *   Added step granularity to `BackupAndRestore` callback for handling
        distributed training failures & restarts. The training state can now be
        restored at the exact epoch and step at which it was previously saved
        before failing.
    *   Added

		last := n - 1
		i := last
		fails := 0
		for i < len(s) {
			if s[i] != b[last] {
				o := IndexByte(s[i+1:], b[last])
				if o < 0 {
					return -1
				}
				i += o + 1
			}
			// Step backwards comparing bytes.
			for j := 1; j < n; j++ {
				if s[i-j] != b[last-j] {
					goto next
				}
			}
			return i - last
		next:
			fails++
			i++

<code>string</code> takes the place of <code>P</code>.
And since <code>string</code> is identical to <code>string</code>,
this unification step succeeds as well.
Unification of the LHS and RHS of the equation is now finished.
Type inference succeeds because there is only one type equation,
no unification step failed, and the map is fully populated.
</p>

<p>
Unification uses a combination of <i>exact</i> and <i>loose</i>

	var nVersions int // captures all non-free versions

	// Our result
	merged = make([]xlMetaV2ShallowVersion, 0, len(versions[0]))
	tops := make([]xlMetaV2ShallowVersion, len(versions))
	for {
		// Step 1 create slice with all top versions.
		tops = tops[:0]
		var topSig xlMetaV2VersionHeader
		consistent := true // Are all signatures consistent (shortcut)
		for _, vers := range versions {
			if len(vers) == 0 {

//	policyFunc    - function to return bucketPolicy statement which would permit the anonymous request to be served.
//
// The test works in 2 steps, here is the description of the steps.
//
//	STEP 1: Call the handler with the unsigned HTTP request (anonReq), assert for the `ErrAccessDenied` error response.

* 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))

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

- 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))

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)

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