- The `apiserver` exposes 4 new metrics that allow to track the status of the Service CIDRs allocations:
      - current number of available IPs per Service CIDR
      - current number of used IPs per Service CIDR
      - total number of allocation per Service CIDR
      - total number of allocation errors per ServiceCIDR ([#104119](https://github.com/kubernetes/kubernetes/pull/104119), [@aojea](https://github.com/aojea))

  /**
   * Runs the specified action for each distinct element in this multiset, and the number of
   * occurrences of that element. For some {@code Multiset} implementations, this may be more
   * efficient than iterating over the {@link #entrySet()} either explicitly or with {@code
   * entrySet().forEach(action)}.
   *
   * @since 21.0
   */
  default void forEachEntry(ObjIntConsumer<? super E> action) {
    checkNotNull(action);

/**
 * A sorted multiset which forwards all its method calls to another sorted multiset. Subclasses
 * should override one or more methods to modify the behavior of the backing multiset as desired per
 * the <a href="http://en.wikipedia.org/wiki/Decorator_pattern">decorator pattern</a>.
 *
 * <p><b>Warning:</b> The methods of {@code ForwardingSortedMultiset} forward

            buffer.order(java.nio.ByteOrder.LITTLE_ENDIAN);
            buffer.putInt((int) counter);
        } else {
            // SMB 3.0/3.0.2 CCM: Counter-based approach as per SMB3 specification
            final long counter = this.nonceCounter.incrementAndGet();
            final ByteBuffer buffer = ByteBuffer.wrap(nonce);
            buffer.order(java.nio.ByteOrder.LITTLE_ENDIAN);

	// should therefore be always resident in the L1 cache - until we
	// have completed the construction of the result.
	// This yields significant speedups (up to +100%) in cases where
	// the result length is large (roughly, over L2 cache size).
	const chunkLimit = 8 * 1024
	chunkMax := n
	if chunkMax > chunkLimit {
		chunkMax = chunkLimit / len(b) * len(b)
		if chunkMax == 0 {
			chunkMax = len(b)
		}
	}

1B74..1B7C    ; valid                  ;      ; NV8    # 5.0  BALINESE MUSICAL SYMBOL RIGHT-HAND OPEN DUG..BALINESE MUSICAL SYMBOL LEFT-HAND OPEN PING
1B7D..1B7E    ; valid                  ;      ; NV8    # 14.0 BALINESE PANTI LANTANG..BALINESE PAMADA LANTANG
1B7F          ; disallowed                             # NA   <reserved-1B7F>

Don't worry, with the way the code is structured, we'll make sure we use **a single SQLModel *session* per request** later, this is actually what the `check_same_thread` is trying to achieve.

### Create the Tables { #create-the-tables }

The Gradle codebase has evolved over time and has a mixture of simple getter/setter methods, Provider API and things in between.  It can be hard to follow best practices because Gradle provided types are reused in unexpected ways and extended by third party plugins.

		return nil, err
	}

	// All disks report unformatted we should initialized everyone.
	if shouldInitErasureDisks(sErrs) && firstDisk {
		logger.Info("Formatting %s pool, %v set(s), %v drives per set.",
			humanize.Ordinal(poolCount), setCount, setDriveCount)

		// Initialize erasure code format on disks
		format, err = initFormatErasure(GlobalContext, storageDisks, setCount, setDriveCount, deploymentID, sErrs)

}

func BenchmarkMutexSpin(b *testing.B) {
	b.ResetTimer()
	b.ReportAllocs()

	// This benchmark models a situation where spinning in the mutex should be
	// profitable. To achieve this we create a goroutine per-proc.
	// These goroutines access considerable amount of local data so that
	// unnecessary rescheduling is penalized by cache misses.
	m := NewDRWMutex(ds, "")
	var acc0, acc1 uint64
	b.RunParallel(func(pb *testing.PB) {