* clean duplicate GetPodServiceMemberships function ([#83902](https://github.com/kubernetes/kubernetes/pull/83902), [@gongguan](https://github.com/gongguan))
* Add information from Lease object corresponding to a given Node to kubectl describe node output ([#83899](https://github.com/kubernetes/kubernetes/pull/83899), [@wojtek-t](https://github.com/wojtek-t))

*   Add HW acceleration support for `topK_v2`.
*   Add new `TypeSpec` classes.
*   CloudBigtable version updated to v0.10.0.
*   Expose `Head` as public API.
*   Update docstring for gather to properly describe the non-empty `batch_dims`
    case.
*   Added `tf.sparse.from_dense` utility function.
*   Improved ragged tensor support in `TensorFlowTestCase`.

 the Maven Repository Metadata file contains 3 different sets of metadata:

 [[1]] in a "groupId" directory: a "groupId" directory may contain Maven plugins artifacts, which are described in metadata's <<<plugins>>> element,

 [[2]] in a "groupId/artifactId" directory: metadata describes <<<groupId>>>, <<<artifactId>>> and <<<versioning>>> element that
       gives data about available versions (<<<latest>>>, <<<release>>>, <<<versions>>> list and <<<lastUpdated>>>),

* Non nil DataSource entries on PVC's are now displayed as part of `describe pvc` output. ([#76463](https://github.com/kubernetes/kubernetes/pull/76463), [@j-griffith](https://github.com/j-griffith))

# Vulnerability Management Policy

This document formally describes the process of addressing and managing a
reported vulnerability that has been found in the MinIO server code base,
any directly connected ecosystem component or a direct / indirect dependency
of the code base.

## Scope

The vulnerability management policy described in this document covers the
process of investigating, assessing and resolving a vulnerability report

not just a (top-level) field name of the struct.
</li>
</ul>

<h3 id="Type_unification_rules">Type unification rules</h3>

<p>
The type unification rules describe if and how two types unify.
The precise details are relevant for Go implementations,
affect the specifics of error messages (such as whether
a compiler reports a type inference or other error),

# Using TensorFlow Securely

This document discusses the TensorFlow security model. It describes the security
risks to consider when using models, checkpoints or input data for training or
serving. We also provide guidelines on what constitutes a vulnerability in
TensorFlow and how to report them.

This document applies to other repositories in the TensorFlow organization,
covering security practices for the entirety of the TensorFlow ecosystem.

That extra info will be added as-is to the output **JSON Schema** for that model, and it will be used in the API docs.

You can use the attribute `model_config` that takes a `dict` as described in [Pydantic's docs: Configuration](https://docs.pydantic.dev/latest/api/config/).

   * described in the class documentation.
   *
   * @throws NullPointerException if any of {@code elements} is null
   * @since 6.0
   */
  public static <E> ImmutableMultiset<E> copyOf(E[] elements) {
    return copyFromElements(elements);
  }

  /**
   * Returns an immutable multiset containing the given elements, in the "grouped iteration order"
   * described in the class documentation.
   *

   * described in the class documentation.
   *
   * @throws NullPointerException if any of {@code elements} is null
   * @since 6.0
   */
  public static <E> ImmutableMultiset<E> copyOf(E[] elements) {
    return copyFromElements(elements);
  }

  /**
   * Returns an immutable multiset containing the given elements, in the "grouped iteration order"
   * described in the class documentation.
   *