// buffer is full, new logs are just ignored and an error
// is returned to the caller.
type Target struct {
	totalMessages  atomic.Int64
	failedMessages atomic.Int64
	status         atomic.Int32

	// Worker control
	workers    atomic.Int64
	maxWorkers int64

	// workerStartMu sync.Mutex
	lastStarted time.Time

	wg sync.WaitGroup

	// Channel of log entries.

		expectedFailure bool
	}{
		{"", "", true},
		{"-1", "0", true},
		{"-1", "900", true},
		{"1574812326", "900", false},
		{1574812326, "900", false},
		{int64(1574812326), "900", false},
		{int(1574812326), "900", false},
		{uint(1574812326), "900", false},
		{uint64(1574812326), "900", false},
		{json.Number("1574812326"), "900", false},
		{1574812326.000, "900", false},
		{time.Duration(3) * time.Minute, "900", false},
	}

}

// serverConnStats holds transferred bytes from/to the server
type serverConnStats struct {
	internodeInputBytes  uint64
	internodeOutputBytes uint64
	s3InputBytes         uint64
	s3OutputBytes        uint64
}

// ServerHTTPAPIStats holds total number of HTTP operations from/to the server,
// including the average duration the call was spent.
type ServerHTTPAPIStats struct {
	APIStats map[string]int `json:"apiStats"`

	return dataUsageInfo, nil
}

func (s *xlStorage) getDeleteAttribute() uint64 {
	attr := "user.total_deletes"
	buf, err := xattr.LGet(s.formatFile, attr)
	if err != nil {
		// We start off with '0' if we can read the attributes
		return 0
	}
	return binary.LittleEndian.Uint64(buf[:8])
}

func (s *xlStorage) getWriteAttribute() uint64 {
	attr := "user.total_writes"
	buf, err := xattr.LGet(s.formatFile, attr)

	switch rval := result.(type) {
	case string:
		return FromString(rval), nil
	case float64:
		return FromFloat(rval), nil
	case int64:
		return FromInt(rval), nil
	case uint64:
		if rval <= math.MaxInt64 {
			return FromInt(int64(rval)), nil
		}
		return FromFloat(float64(rval)), nil
	case bool:
		return FromBool(rval), nil
	case jstream.KVS:
		bs, err := json.Marshal(result)

			mapValue := map[string]interface{}{}
			scanIntoMap(mapValue, values, columns)
			*dest = append(*dest, mapValue)
		}
	case *int, *int8, *int16, *int32, *int64,
		*uint, *uint8, *uint16, *uint32, *uint64, *uintptr,
		*float32, *float64,
		*bool, *string, *time.Time,
		*sql.NullInt32, *sql.NullInt64, *sql.NullFloat64,
		*sql.NullBool, *sql.NullString, *sql.NullTime:

	// Custom logger
	LogOnce func(ctx context.Context, err error, id string, errKind ...any) `json:"-"`
}

// Target - Kafka target.
type Target struct {
	status int32

	totalMessages  int64
	failedMessages int64

	wg sync.WaitGroup

	// Channel of log entries.
	// Reading logCh must hold read lock on logChMu (to avoid read race)
	// Sending a value on logCh must hold read lock on logChMu (to avoid closing)

	testCases := []struct {
		exp             any
		expectedFailure bool
	}{
		{"", true},
		{"-1", true},
		{"1574812326", false},
		{1574812326, false},
		{int64(1574812326), false},
		{int(1574812326), false},
		{uint(1574812326), false},
		{uint64(1574812326), false},
		{json.Number("1574812326"), false},
		{1574812326.000, false},
		{time.Duration(3) * time.Minute, false},
	}

	for _, testCase := range testCases {

	setIndexes  [][]uint64 // All the sets.
}

// Supported set sizes this is used to find the optimal
// single set size.
var setSizes = []uint64{2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16}

// getDivisibleSize - returns a greatest common divisor of
// all the ellipses sizes.
func getDivisibleSize(totalSizes []uint64) (result uint64) {
	gcd := func(x, y uint64) uint64 {
		for y != 0 {
			x, y = y, x%y
		}

	WriteMerges    uint64
	WriteSectors   uint64
	WriteTicks     uint64
	CurrentIOs     uint64
	TotalTicks     uint64
	ReqTicks       uint64
	DiscardIOs     uint64
	DiscardMerges  uint64
	DiscardSectors uint64
	DiscardTicks   uint64
	FlushIOs       uint64
	FlushTicks     uint64