PutByteBuffer(resp)
						n++
					}
					atomic.AddInt64(&ops, int64(n))
					atomic.AddInt64(&lat, latency)
				})
				spent := time.Since(t)
				if spent > 0 && n > 0 {
					// Since we are benchmarking n parallel servers we need to multiply by n.
					// This will give an estimate of the total ops/s.
					latency := float64(atomic.LoadInt64(&lat)) / float64(time.Millisecond)

	memprofilerate    = flag.Int64("memprofilerate", 0, "set runtime.MemProfileRate to `rate`")
	benchmarkFlag     = flag.String("benchmark", "", "set to 'mem' or 'cpu' to enable phase benchmarking")
	benchmarkFileFlag = flag.String("benchmarkprofile", "", "emit phase profiles to `base`_phase.{cpu,mem}prof")

	flagW ternaryFlag
	FlagW = new(bool) // the -w flag, computed in main from flagW
)

	// total number of parts.
	xlMeta.Parts = make([]ObjectPartInfo, totalParts)
	for i := 0; i < totalParts; i++ {
		// hard coding hash and algo value for the checksum, Since we are benchmarking the parsing of xl.meta the magnitude doesn't affect the test,
		// The magnitude doesn't make a difference, only the size does.

 * create the memory pressure required to cause soft references to be cleared.
 *
 * <p>This class only provides testing utilities. It is not designed for direct use in production or
 * for benchmarking.
 *
 * @author mike nonemacher
 * @author Martin Buchholz
 * @since 11.0
 */
@GwtIncompatible
@J2ktIncompatible
@J2ObjCIncompatible // gc
@ElementTypesAreNonnullByDefault

		webhooktesting.ConvertToMutatingTestCases(webhooktesting.NewNonMutatingTestCases(serverURL), "test-webhooks")...)

	for _, tt := range testCases {
		// For now, skip failure cases or tests that explicitly skip benchmarking
		if !tt.ExpectAllow || tt.SkipBenchmark {
			continue
		}
		b.Run(tt.Name, func(b *testing.B) {
			wh, err := NewMutatingWebhook(nil)
			if err != nil {
				b.Errorf("failed to create mutating webhook: %v", err)

 * create the memory pressure required to cause soft references to be cleared.
 *
 * <p>This class only provides testing utilities. It is not designed for direct use in production or
 * for benchmarking.
 *
 * @author mike nonemacher
 * @author Martin Buchholz
 * @since 11.0
 */
@GwtIncompatible
@J2ktIncompatible
@J2ObjCIncompatible // gc
@ElementTypesAreNonnullByDefault

	}

	stopCh := make(chan struct{})
	defer close(stopCh)

	for _, tt := range webhooktesting.NewNonMutatingTestCases(serverURL) {
		// For now, skip failure cases or tests that explicitly skip benchmarking
		if !tt.ExpectAllow || tt.SkipBenchmark {
			continue
		}

		b.Run(tt.Name, func(b *testing.B) {
			wh, err := NewValidatingAdmissionWebhook(nil)
			if err != nil {

    // array slot is read and written exactly once. However, it can have very poor memory locality:
    // benchmarking shows it can take 7 times longer than the other two in some cases. The other two
    // do n swaps, minus a delta (0 or 2 for Reversal, gcd(d, n) for Successive), so that's about
    // twice as many reads and writes. But benchmarking shows that they usually perform better than

				stop := applyGCLoad(b)
				runOne(b)
				// Make sure to stop the timer before we wait! The load created above
				// is very heavy-weight and not easy to stop, so we could end up
				// confusing the benchmarking framework for small b.N.
				b.StopTimer()
				stop()
			})
		}
	}

	// Measure the cost of counting goroutines
	b.Run("small-nil", run(func() bool {
		GoroutineProfile(nil)
		return true

    // array slot is read and written exactly once. However, it can have very poor memory locality:
    // benchmarking shows it can take 7 times longer than the other two in some cases. The other two
    // do n swaps, minus a delta (0 or 2 for Reversal, gcd(d, n) for Successive), so that's about
    // twice as many reads and writes. But benchmarking shows that they usually perform better than