*   `tf.data`:
    *   Promoting `tf.data.experimental.bucket_by_sequence_length` API to
        `tf.data.Dataset.bucket_by_sequence_length` and deprecating the
        experimental endpoint.
    *   Promoting `tf.data.experimental.get_single_element` API to
        `tf.data.Dataset.get_single_element` and deprecating the experimental
        endpoint.
    *   Promoting `tf.data.experimental.group_by_window` API to

        But Guava aims to provide functionality that is useful across boundaries of projects,
        companies, or even industries — utilities useful for a sizable proportion of all Java
        programmers everywhere. If you can give enough detail such that any of us can imagine coming
        across a similar need in our own work, that's extremely helpful in studying how broadly

* Fix admission metrics histogram bucket sizes to cover 25ms to ~2.5 seconds. ([#78608](https://github.com/kubernetes/kubernetes/pull/78608), [@jpbetz](https://github.com/jpbetz))
* Revert Promotion of resource quota scope selector to GA ([#78696](https://github.com/kubernetes/kubernetes/pull/78696), [@ravisantoshgudimetla](https://github.com/ravisantoshgudimetla))



# v1.15.0-beta.2

        But Guava aims to provide features that are useful across boundaries of projects, companies,
        or even industries — utilities useful for a sizable proportion of all Java programmers
        everywhere. If you can give enough detail such that any of us can imagine coming across
        a similar need in our own work, that's extremely helpful in studying how broadly useful the

expand your clusters as needed.  When you restart, it is immediate and non-disruptive to the applications. Each group of servers in the command-line is called a pool. There are 2 server pools in this example. New objects are placed in server pools in proportion to the amount of free space in each pool. Within each pool, the location of the erasure-set of drives is determined based on a deterministic hashing algorithm.

> **NOTE:** **Each pool you add must have the same erasure coding parity configuration...

- Kubeadm: fixed issue where etcd member promotion fails with an error saying the member was already promoted ([#132280](https://github.com/kubernetes/kubernetes/pull/132280), [@neolit123](https://github.com/neolit123)) [SIG Cluster Lifecycle]

### Other (Cleanup or Flake)

- Kubeadm: fixed issue where etcd member promotion fails with an error saying the member was already promoted ([#132281](https://github.com/kubernetes/kubernetes/pull/132281), [@neolit123](https://github.com/neolit123)) [SIG Cluster Lifecycle]

## Dependencies

### Added

- Kubeadm: fixed issue where etcd member promotion fails with an error saying the member was already promoted ([#132282](https://github.com/kubernetes/kubernetes/pull/132282), [@neolit123](https://github.com/neolit123)) [SIG Cluster Lifecycle]

## Dependencies

### Added

// https://www.iana.org/domains/root/db/sony.html
sony

// soy : Charleston Road Registry Inc.
// https://www.iana.org/domains/root/db/soy.html
soy

// spa : Asia Spa and Wellness Promotion Council Limited
// https://www.iana.org/domains/root/db/spa.html
spa

// space : Radix Technologies Inc.
// https://www.iana.org/domains/root/db/space.html
space

// sport : SportAccord

     * weight from the default (16) to a new value.
     *
     * @param streamId stream which has a priority change.
     * @param streamDependency the stream ID this stream is dependent on.
     * @param weight relative proportion of priority in `[1..256]`.
     * @param exclusive inserts this stream ID as the sole child of `streamDependency`.
     */
    fun priority(
      streamId: Int,
      streamDependency: Int,
      weight: Int,