totpeak = math.Max(math.Max(tot.Peak, totpeak), tot.Curr)
		lpeak = math.Max(math.Max(v[Large].Peak, lpeak), v[Large].Curr)
		speak = math.Max(math.Max(v[Small].Peak, speak), v[Small].Curr)
		if lpeak > 0 || speak > 0 {
			count++
		}
	}
	if count > 0 {
		lrg := XferStats{
			Avg:  lavg / float64(count),
			Curr: lcurr / float64(count),
			Peak: lpeak,
		}
		sml := XferStats{

                           CHAPTER II

                        The Pool of Tears


  `Curiouser and curiouser!' cried Alice (she was so much
surprised, that for the moment she quite forgot how to speak good
English); `now I'm opening out like the largest telescope that
ever was!  Good-bye, feet!' (for when she looked down at her
feet, they seemed to be almost out of sight, they were getting so

{% endif %}

{% endfor %}

</div>

## Top Translation Reviewers

These users are the **Top Translation Reviewers**. 🕵️

* Review those pull requests, requesting changes or approving them. For the languages I don't speak, I'll wait for several others to review the translation before merging.

/// tip

our General Public Licenses are intended to guarantee your freedom to
share and change all versions of a program--to make sure it remains free
software for all its users.

  When we speak of free software, we are referring to freedom, not
price.  Our General Public Licenses are designed to make sure that you
have the freedom to distribute copies of free software (and charge for

can use it too, but we suggest you first think carefully about whether
this license or the ordinary General Public License is the better
strategy to use in any particular case, based on the explanations below.

  When we speak of free software, we are referring to freedom of use,
not price.  Our General Public Licenses are designed to make sure that
you have the freedom to distribute copies of free software (and charge

}

func (rx *XferStats) merge(o XferStats) XferStats {
	curr := calcAvg(rx.curr(), o.curr(), rx.N, o.N)
	peak := rx.Peak
	if o.Peak > peak {
		peak = o.Peak
	}
	if curr > peak {
		peak = curr
	}
	return XferStats{
		Avg:     calcAvg(rx.Avg, o.Avg, rx.N, o.N),
		Peak:    peak,
		Curr:    curr,
		measure: rx.measure,
		N:       rx.N + o.N,
	}
}

}

type latencyStat struct {
	lastmin lastMinuteLatency
	curr    time.Duration
	avg     time.Duration
	peak    time.Duration
	N       int64
}

func (l *latencyStat) update(d time.Duration) {
	l.lastmin.add(d)
	l.N++
	if d > l.peak {
		l.peak = d
	}
	l.curr = l.lastmin.getTotal().avg()
	l.avg = time.Duration((int64(l.avg)*(l.N-1) + int64(l.curr)) / l.N)
}

// User has one `Account` (has one), many `Pets` (has many) and `Toys` (has many - polymorphic)
// He works in a Company (belongs to), he has a Manager (belongs to - single-table), and also managed a Team (has many - single-table)
// He speaks many languages (many to many) and has many friends (many to many - single-table)
// His pet also has one Toy (has one - polymorphic)
// NamedPet is a reference to a named `Pet` (has one)
type User struct {
	gorm.Model

			}
		case "av":
			z.Avg, err = dc.ReadFloat64()
			if err != nil {
				err = msgp.WrapError(err, "Avg")
				return
			}
		case "p":
			z.Peak, err = dc.ReadFloat64()
			if err != nil {
				err = msgp.WrapError(err, "Peak")
				return
			}
		case "n":
			z.N, err = dc.ReadInt64()
			if err != nil {
				err = msgp.WrapError(err, "N")
				return
			}
		default: