### SIG-autoscaling

SIG Autoscaling focused on improving the Horizontal Pod Autoscaling API and algorithm:
- We released autoscaling/v2beta2, which cleans up and unifies the API
- We improved readiness detection and smoothing to work well in a larger variety or use cases

### SIG-Azure

- kubeadm will now not fail preflight checks when running on >= 5.0 Linux kernel ([#74355](https://github.com/kubernetes/kubernetes/pull/74355), [@brb](https://github.com/brb))
- Scheduler cache snapshot algorithm has been optimized to improve scheduling throughput. ([#74041](https://github.com/kubernetes/kubernetes/pull/74041), [@bsalamat](https://github.com/bsalamat))

### Server-side Apply graduates to GA

- Kube-proxy: Checked whether IPv6 was available on Linux before using it. ([#131265](https://github.com/kubernetes/kubernetes/pull/131265), [@rikatz](https://github.com/rikatz))
- Kubeadm: Added support for ECDSA-P384 as an encryption algorithm type in v1beta4. ([#131677](https://github.com/kubernetes/kubernetes/pull/131677), [@lalitc375](https://github.com/lalitc375))

*   Object count quotas supported on all standard resources using count/<resource>.<group> syntax ([#54320](https://github.com/kubernetes/kubernetes/pull/54320),[ @derekwaynecarr](https://github.com/derekwaynecarr))
*   Apply algorithm in scheduler by feature gates. ([#52723](https://github.com/kubernetes/kubernetes/pull/52723),[ @k82cn](https://github.com/k82cn))

    private byte[] salt;

    /**
     * Constructs a preauth integrity negotiate context with the specified parameters.
     *
     * @param config the SMB configuration
     * @param hashAlgos the supported hash algorithms
     * @param salt the salt value for preauth integrity
     */
    public PreauthIntegrityNegotiateContext(final Configuration config, final int[] hashAlgos, final byte[] salt) {
        this.hashAlgos = hashAlgos;

/**
 * Interface for SMB message signing and verification operations.
 * Provides cryptographic signing capabilities for SMB protocol messages to ensure
 * message integrity and authenticity using MAC (Message Authentication Code) algorithms.
 *
 * @author mbechler
 */
public interface SMBSigningDigest {

    /**
     * Performs MAC signing of the SMB. This is done as follows.

import java.io.IOException;

/**
 * Represents a PAC signature structure containing checksum type and data.
 * This class parses and holds signature information from Kerberos PAC data,
 * supporting various checksum algorithms including HMAC-MD5 and HMAC-SHA1 with AES.
 */
public class PacSignature {

    /**
     * Kerberos checksum type for HMAC-MD5 (ARCFOUR-HMAC).
     */
    public static final int KERB_CHECKSUM_HMAC_MD5 = 0xFFFFFF76;

architecture gives flexibility to the application developer, whereas in previous “parameter server” designs the management of shared state is built into the system, TensorFlow enables developers to experiment with novel optimizations and training algorithms. TensorFlow supports a variety of applications, with a focus on training and inference on deep neural networks. Several Google services use TensorFlow in production, we have released it as an open-source project, and it has become widely used for...

import java.nio.ByteBuffer;
import java.nio.ByteOrder;
import java.nio.charset.Charset;
import java.util.Arrays;

/**
 * Skeleton implementation of {@link HashFunction}, appropriate for non-streaming algorithms. All
 * the hash computation done using {@linkplain #newHasher()} are delegated to the {@linkplain
 * #hashBytes(byte[], int, int)} method.
 *
 * @author Dimitris Andreou
 */
@Immutable