for _, t := range times {
		if t.Equal(timeSentinel) || t.IsZero() {
			continue
		}
		nano := t.UnixNano()
		if group > 0 {
			for k := range timeOccurrenceMap {
				if k == nano {
					// We add to ourself later
					continue
				}
				diff := k - nano
				if diff < 0 {
					diff = -diff
				}
				// We are within the limit
				if diff < groupNano {
					timeOccurrenceMap[k]++

		return nil, nil, errInvalidArgument
	}

	// prepare getElapsedTime() to calculate elapsed time since we started trying formatting disks.
	// All times are rounded to avoid showing milli, micro and nano seconds
	formatStartTime := time.Now().Round(time.Second)
	getElapsedTime := func() string {
		return time.Now().Round(time.Second).Sub(formatStartTime).String()
	}

	var (
		tries   int
		verbose bool

		if field.DataType == Time {
			field.AutoCreateTime = UnixTime
		} else if strings.ToUpper(v) == "NANO" {
			field.AutoCreateTime = UnixNanosecond
		} else if strings.ToUpper(v) == "MILLI" {
			field.AutoCreateTime = UnixMillisecond
		} else {
			field.AutoCreateTime = UnixSecond
		}
	}

| `minio_heal_objects_total`                   | Objects scanned in current self healing run.                     |
| `minio_heal_time_last_activity_nano_seconds` | Time elapsed (in nano seconds) since last self healing activity. |

## Inter Node Metrics

| Name                                      | Description                                             |

		dur = time.Since(bgSeq.lastHealActivity)
	}

	ch <- prometheus.MustNewConstMetric(
		prometheus.NewDesc(
			prometheus.BuildFQName(healMetricsNamespace, "time", "since_last_activity"),
			"Time elapsed (in nano seconds) since last self healing activity. This is set to -1 until initial self heal activity",
			nil, nil),
		prometheus.GaugeValue,
		float64(dur),
	)
	for k, v := range bgSeq.getScannedItemsMap() {

octet-stream¤etagÙ 9fe7a344ef4227d3e537¡vÎeçnÐÎ ¤ ‚Ù$73c9f651-f023-4566-b012-cc537fdb7ce2Ä’·G1ˆ ÄTà¦Çñ 1ÊB5’ k@ N°›+Xýˆ qiO127.0.0.1 localhost 127.0.1.1 nano 127.0.1.2 nano ::1 ip6-localhost ip6-loopback fe00::0 ip6-localnet fÙ$1f163718-9bc5-4b01-bff7-5d8cf09caf10Ä’·G1ˆ ÄTà¦Çñ 1ÊB5’ k@ N°›+Xýˆ qiO127.0.0.1 localhost 127.0.1.1 nano 127.0.1.2 nano ::1 ip6-localhost ip6-loopback fe00::0 ip6-localnet f xl2/testbucket/hosts/xl.meta XL2 Æ ï Ä$•Ä 7 ›ÅK ¿÷]Œðœ¯ Ó ¹ôc â NÄ ó7 Å Mƒ¤Type ¥V2ObjÞ ¢IDÄ 7 ›ÅK...

		Name:      lastActivityTime,
		Help:      "Time elapsed (in nano seconds) since last scan activity",
		Type:      gaugeMetric,
	}
}

func getBucketUsageLastScanActivityMD() MetricDescription {
	return MetricDescription{
		Namespace: bucketMetricNamespace,
		Subsystem: usageSubsystem,
		Name:      lastActivityTime,
		Help:      "Time elapsed (in nano seconds) since last scan activity",
		Type:      gaugeMetric,
	}

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Y luego pueden intentar de nuevo sabiendo que probablemente es algo más similar a `stanleyjobsox` que a `johndoe`.

#### Un ataque "profesional"

Por supuesto, los atacantes no intentarían todo esto a mano, escribirían un programa para hacerlo, posiblemente con miles o millones de pruebas por segundo. Y obtendrían solo una letra correcta adicional a la vez.

labels.facet_label_title=Etiqueta
labels.facet_timestamp_title=Período
labels.facet_timestamp_1day=Últimas 24 horas
labels.facet_timestamp_1week=Última semana
labels.facet_timestamp_1month=Último mes
labels.facet_timestamp_1year=Último año
labels.facet_timestamp_3month=Últimos 3 meses
labels.facet_timestamp_6month=Últimos 6 meses
labels.facet_timestamp_2year=Últimos 2 años
labels.facet_timestamp_3year=Últimos 3 años
labels.facet_contentLength_title=Tamaño