* <p>While {@code ReadWriteLock} instances have different properties and can form cycles without
 * potential deadlock, this class treats {@code ReadWriteLock} instances as equivalent to
 * traditional exclusive locks. Although this increases the false positives that the locks detect
 * (i.e. cycles that will not actually result in deadlock), it simplifies the algorithm and
 * implementation considerably. The assumption is that a user of this factory wishes to eliminate

- Improves kubectl display of invalid request errors returned by the API server ([#112150](https://github.com/kubernetes/kubernetes/pull/112150), [@liggitt](https://github.com/liggitt)) [SIG CLI]

    private final AtomicLong usageCount = new AtomicLong(1);

    /**
     * Acquires a reference to this transport, incrementing the usage count.
     *
     * @return session increased usage count
     */
    public Transport acquire() {
        final long usage = this.usageCount.incrementAndGet();
        if (log.isTraceEnabled()) {
            log.trace("Acquire transport " + usage + " " + this);

    @Test
    public void testToString() {
        ByteBuffer bb = ByteBuffer.wrap(testBuffer).order(ByteOrder.LITTLE_ENDIAN);

        bb.putShort((short) 3);
        bb.putShort((short) 200); // increased size
        bb.putShort((short) 1);
        bb.putShort((short) 0); // rflags without name list flag
        bb.putShort((short) 10);
        bb.putShort((short) 600);
        bb.putShort((short) 22); // pathOffset

						// Upon an error on watch channel
						// re-init the watch channel.
						goto outerLoop
					}
					for _, event := range watchResp.Events {
						isCreateEvent := event.IsModify() || event.IsCreate()
						isDeleteEvent := event.Type == etcd.EventTypeDelete

						switch {
						case isCreateEvent:
							ch <- iamWatchEvent{
								isCreated: true,
								keyPath:   string(event.Kv.Key),
							}

   *   <li>When you reduce the number of buckets, you can accept that the most recently added
   *       buckets will be removed first. More concretely, if you are dividing traffic among tasks,
   *       you can decrease the number of tasks from 15 and 10, killing off the final 5 tasks, and
   *       {@code consistentHash} will handle it. If, however, you are dividing traffic among

    // Rate limiting
    private final Map<String, AtomicLong> rateLimitCounters = new ConcurrentHashMap<>();
    private volatile long rateLimitWindow = 60000; // 1 minute
    private volatile int maxEventsPerWindow = 10000; // Increased for tests

    /**
     * Security event types
     */
    public enum EventType {

 * guarantees.
 *
 * <p>This class should not be assumed to be universally superior to {@code java.util.HashMap}.
 * Generally speaking, this class reduces object allocation and memory consumption at the price of
 * moderately increased constant factors of CPU. Only use this class when there is a specific reason
 * to prioritize memory over CPU.
 *
 * @author Louis Wasserman
 * @author Jon Noack
 */
@GwtIncompatible // not worth using in GWT for now

   * E} is an {@link Enum} type, use {@link EnumSet#noneOf} instead. Otherwise, strongly consider
   * using a {@code LinkedHashSet} instead, at the cost of increased memory footprint, to get
   * deterministic iteration behavior.
   *
   * <p><b>Note:</b> this method is now unnecessary and should be treated as deprecated. Instead,

# Multi-Channel Feature - Detailed Design Document

## 1. Overview

SMB3 Multi-Channel enables the use of multiple network connections between client and server, providing increased throughput, network fault tolerance, and automatic failover capabilities. This feature aggregates bandwidth across multiple NICs and provides seamless failover when network paths fail.

## 2. Protocol Specification Reference