maxBytes := 1 + 5*traceBytesPerNumber + len(typName)

	// Estimate the size of this record. This
	// bound is pretty loose, but avoids counting
	// lots of varint sizes.
	//
	// Add 1 because we might also write a traceAllocFreeTypesBatch byte.
	var flushed bool
	w, flushed = w.ensure(1 + maxBytes)
	if flushed {
		// Annotate the batch as containing types.

//	memoryAllocator := runtime.AllocatorPool.Get().(*runtime.Allocator)
//	defer runtime.AllocatorPool.Put(memoryAllocator)
//
// A note for future:
//
//	consider introducing multiple pools for storing buffers of different sizes
//	perhaps this could allow us to be more efficient.
var AllocatorPool = sync.Pool{
	New: func() interface{} {
		return &Allocator{}
	},
}

// Allocator knows how to allocate memory

import com.google.common.annotations.VisibleForTesting;
import org.gradle.internal.jvm.Jvm;

import java.util.Arrays;
import java.util.Locale;

/**
 * Helper to compute maximum heap sizes.
 */
public class MaximumHeapHelper {

    /**
     * Get the default maximum heap.
     *
     * Different JVMs on different systems may use a different default for maximum heap when unset.

func _[_ t | []t]() {}
func _[_ []t | []t]() {}
func _[_ [1]t | [1]t]() {}
func _[_ t[t] | t[t]]() {}

// Single-expression type parameter lists and those that don't start
// with a (type parameter) name are considered array sizes.
// The term must be a valid expression (it could be a type incl. a
// tilde term) but the type-checker will complain.
type (
        _[t] t
        _[t|t] t

		ret.StorageObjectCountTracker = storageConfig.StorageObjectCountTracker
	}

	if f.Options.EnableWatchCache {
		sizes, err := ParseWatchCacheSizes(f.Options.WatchCacheSizes)
		if err != nil {
			return generic.RESTOptions{}, err
		}
		size, ok := sizes[resource]
		if ok && size > 0 {
			klog.Warningf("Dropping watch-cache-size for %v - watchCache size is now dynamic", resource)
		}

// Analyze costs for tensorflow operations.
//
// The current heuristic used is quite simple, which is to calculate the total
// size of input tensors. The exception is that ops whose cost is irrelevant to
// input sizes, such as tf.Shape and tf.Reshape, are whitelisted to have cheap
// cost. This cost analysis is expected to be used conservatively (eg. use a low
// threshold to decide whether a cost is cheap or expensive), as it might not be

	}
}

func BenchmarkSearchWrappers(b *testing.B) {
	for i := 0; i < b.N; i++ {
		runSearchWrappers()
	}
}

// Abstract exhaustive test: all sizes up to 100,
// all possible return values. If there are any small
// corner cases, this test exercises them.
func TestSearchExhaustive(t *testing.T) {
	for size := 0; size <= 100; size++ {

		buf2[n-1] = '\x00'
	}
}

func BenchmarkEqualBothUnaligned(b *testing.B) {
	sizes := []int{64, 4 << 10}
	if !isRaceBuilder {
		sizes = append(sizes, []int{4 << 20, 64 << 20}...)
	}
	maxSize := 2 * (sizes[len(sizes)-1] + 8)
	if len(bmbuf) < maxSize {
		bmbuf = make([]byte, maxSize)
	}

	for _, n := range sizes {
		for _, off := range []int{0, 1, 4, 7} {
			buf1 := bmbuf[off : off+n]

//
// "v3.channel.k8s.io"
//
// The third version of the Websocket RemoteCommand subprotocol adds another channel
// for terminal resizing events. This channel is prepended with the byte '3', and it
// transmits two window sizes (encoding TerminalSize struct) with integers in the range
// (0,65536].
//
// "v4.channel.k8s.io"
//
// The fourth version of the Websocket RemoteCommand subprotocol adds a channel for

 * {@link
 * com.google.common.collect.testing.FeatureSpecificTestSuiteBuilder#withFeatures(Feature...)}),
 * this annotation specifies each of the different sizes for which a test suite should be built. (In
 * a typical case, the features should include {@link CollectionSize#ANY}.) These semantics are thus
 * a little different from those of other Collection-related features such as {@link