readQuorum, _, err := objectQuorumFromMeta(ctx, metaArr, errs, er.defaultParityCount)
		if err != nil {
			return FileInfo{}, nil, nil, time.Time{}, "", err
		}
		if err := reduceReadQuorumErrs(ctx, errs, objectOpIgnoredErrs, readQuorum); err != nil {
			return FileInfo{}, nil, nil, time.Time{}, "", err
		}

		jobCancelers: make(map[string]context.CancelFunc),
	}
	jpool.ResizeWorkers(workers)

	randomWait := func() time.Duration {
		// randomWait depends on the number of nodes to avoid triggering resume and cleanups at the same time.
		return time.Duration(rand.Float64() * float64(time.Duration(globalEndpoints.NEndpoints())*time.Hour))
	}

	go func() {
		jpool.resume(randomWait)
		jpool.cleanupReports(randomWait)
	}()

		}
	}
	return err
}

// readsMetadata and returns disk mTime information for xl.meta
func (s *xlStorage) readMetadataWithDMTime(ctx context.Context, itemPath string) ([]byte, time.Time, error) {
	if contextCanceled(ctx) {
		return nil, time.Time{}, ctx.Err()
	}

	if err := checkPathLength(itemPath); err != nil {
		return nil, time.Time{}, err
	}

	f, err := OpenFile(itemPath, readMode, 0o666)

// getModTime will return the ModTime of the underlying version.
func (j xlMetaV2Version) getModTime() time.Time {
	switch j.Type {
	case ObjectType:
		return time.Unix(0, j.ObjectV2.ModTime)
	case DeleteType:
		return time.Unix(0, j.DeleteMarker.ModTime)
	case LegacyType:
		return j.ObjectV1.Stat.ModTime
	}
	return time.Time{}
}

// getVersionID will return the versionID of the underlying version.

	if isGroup {
		if store.getUsersSysType() == MinIOUsersSysType {
			g, ok := c.iamGroupsMap[name]
			if !ok {
				if err := store.loadGroup(context.Background(), name, c.iamGroupsMap); err != nil {
					return nil, time.Time{}, err
				}
				g, ok = c.iamGroupsMap[name]
				if !ok {
					return nil, time.Time{}, errNoSuchGroup
				}
			}

	}

	if parentUser == "" {
		return auth.Credentials{}, time.Time{}, errInvalidArgument
	}

	if len(opts.accessKey) > 0 && len(opts.secretKey) == 0 {
		return auth.Credentials{}, time.Time{}, auth.ErrNoSecretKeyWithAccessKey
	}
	if len(opts.secretKey) > 0 && len(opts.accessKey) == 0 {
		return auth.Credentials{}, time.Time{}, auth.ErrNoAccessKeyWithSecretKey
	}

					cancel()
					mu.Unlock()
					return
				}
			}(resultIndex, erObj)
		}
	}
	updateCloser := make(chan chan struct{})
	go func() {
		updateTicker := time.NewTicker(30 * time.Second)
		defer updateTicker.Stop()
		var lastUpdate time.Time

		// We need to merge since we will get the same buckets from each pool.
		// Therefore to get the exact bucket sizes we must merge before we can convert.

                    i_in_24 = selected.hour() >= 12 ? (i == 12 ? 12 : i + 12) : (i == 12 ? 0 : i);

                var time = selected.clone().hour(i_in_24);
                var disabled = false;
                if (minDate && time.minute(59).isBefore(minDate))
                    disabled = true;
                if (maxDate && time.minute(0).isAfter(maxDate))
                    disabled = true;

		}
	}

	var times []time.Time
	if err := DB.Model(User{}).Where("name like ?", "pluck-user%").Pluck("created_at", &times).Error; err != nil {
		t.Errorf("got error when pluck time: %v", err)
	}

	for idx, tv := range times {
		AssertEqual(t, tv, users[idx].CreatedAt)
	}

	var ptrtimes []*time.Time

   * higher value than you need can waste space and time, and a significantly lower value can lead
   * to thread contention. But overestimates and underestimates within an order of magnitude do not
   * usually have much noticeable impact. A value of one permits only one thread to modify the cache
   * at a time, but since read operations and cache loading computations can proceed concurrently,