"This metric is an overestimate, and not directly comparable to " +
			"system CPU time measurements. Compare only with other /cpu/classes " +
			"metrics.",
		Kind:       KindFloat64,
		Cumulative: true,
	},
	{
		Name: "/cpu/classes/gc/mark/dedicated:cpu-seconds",
		Description: "Estimated total CPU time spent performing GC tasks on " +

	// KindBad indicates that the Value has no type and should not be used.
	KindBad ValueKind = iota

	// KindUint64 indicates that the type of the Value is a uint64.
	KindUint64

	// KindFloat64 indicates that the type of the Value is a float64.
	KindFloat64

	// KindFloat64Histogram indicates that the type of the Value is a *Float64Histogram.
	KindFloat64Histogram
)

// Value represents a metric value returned by the runtime.

		for i := 0; i < b.N; i++ {
			for _, v := range vs {
				switch v.Kind() {
				case KindString:
					s = v.String()
				case KindInt64:
					ii = v.Int64()
				case KindUint64:
					u = v.Uint64()
				case KindFloat64:
					f = v.Float64()
				case KindBool:
					bb = v.Bool()
				case KindDuration:
					d = v.Duration()
				case KindAny:
					a = v.Any()
				default:
					panic("bad kind")
				}
			}
		}

type Kind int

// The following list is sorted alphabetically, but it's also important that
// KindAny is 0 so that a zero Value represents nil.

const (
	KindAny Kind = iota
	KindBool
	KindDuration
	KindFloat64
	KindInt64
	KindString
	KindTime
	KindUint64
	KindGroup
	KindLogValuer
)

var kindStrings = []string{
	"Any",
	"Bool",
	"Duration",
	"Float64",
	"Int64",
	"String",
	"Time",

	case slog.KindString:
		buf.WriteString(v.String())
	case slog.KindInt64:
		*buf = strconv.AppendInt(*buf, v.Int64(), 10)
	case slog.KindUint64:
		*buf = strconv.AppendUint(*buf, v.Uint64(), 10)
	case slog.KindFloat64:
		*buf = strconv.AppendFloat(*buf, v.Float64(), 'g', -1, 64)
	case slog.KindBool:
		*buf = strconv.AppendBool(*buf, v.Bool())
	case slog.KindDuration:
		*buf = strconv.AppendInt(*buf, v.Duration().Nanoseconds(), 10)

		name, value := sample.Name, sample.Value

		// Handle each sample.
		switch value.Kind() {
		case metrics.KindUint64:
			fmt.Printf("%s: %d\n", name, value.Uint64())
		case metrics.KindFloat64:
			fmt.Printf("%s: %f\n", name, value.Float64())
		case metrics.KindFloat64Histogram:
			// The histogram may be quite large, so let's just pull out
			// a crude estimate for the median for the sake of this example.

	case KindString:
		s.appendString(v.str())
	case KindInt64:
		*s.buf = strconv.AppendInt(*s.buf, v.Int64(), 10)
	case KindUint64:
		*s.buf = strconv.AppendUint(*s.buf, v.Uint64(), 10)
	case KindFloat64:
		// json.Marshal is funny about floats; it doesn't
		// always match strconv.AppendFloat. So just call it.
		// That's expensive, but floats are rare.
		if err := appendJSONMarshal(s.buf, v.Float64()); err != nil {

pkg log/slog, const KindBool = 1 #56345
pkg log/slog, const KindBool Kind #56345
pkg log/slog, const KindDuration = 2 #56345
pkg log/slog, const KindDuration Kind #56345
pkg log/slog, const KindFloat64 = 3 #56345
pkg log/slog, const KindFloat64 Kind #56345
pkg log/slog, const KindGroup = 8 #56345
pkg log/slog, const KindGroup Kind #56345
pkg log/slog, const KindInt64 = 4 #56345
pkg log/slog, const KindInt64 Kind #56345

			switch vNew.Kind() {
			case metrics.KindUint64:
				new := vNew.Uint64()
				old := vOld.Uint64()
				if new < old {
					t.Errorf("%s decreased: %d < %d", name, new, old)
				}
			case metrics.KindFloat64:
				new := vNew.Float64()
				old := vOld.Float64()
				if new < old {
					t.Errorf("%s decreased: %f < %f", name, new, old)
				}
			case metrics.KindFloat64Histogram:

		{"Int64Value", Func, 21},
		{"IntValue", Func, 21},
		{"JSONHandler", Type, 21},
		{"Kind", Type, 21},
		{"KindAny", Const, 21},
		{"KindBool", Const, 21},
		{"KindDuration", Const, 21},
		{"KindFloat64", Const, 21},
		{"KindGroup", Const, 21},
		{"KindInt64", Const, 21},
		{"KindLogValuer", Const, 21},
		{"KindString", Const, 21},
		{"KindTime", Const, 21},
		{"KindUint64", Const, 21},