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{

}

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)
}

	if len(qs.XferStats) > 0 {
		tots := qs.XferStats[Total]
		m.Set(replicationAverageDataTransferRate, tots.Avg)
		m.Set(replicationCurrentDataTransferRate, tots.Curr)
		m.Set(replicationMaxDataTransferRate, tots.Peak)
	}
	m.Set(replicationRecentBacklogCount, float64(qs.MRFStats.LastFailedCount))

	return nil

			if len(qs.XferStats) > 0 {
				tots := qs.XferStats[Total]
				currTransferRate.Value = tots.Curr
				avgTransferRate.Value = tots.Avg
				maxTransferRate.Value = tots.Peak
			}
			ml = []MetricV2{
				activeWorkersCount,
				avgActiveWorkersCount,
				maxActiveWorkersCount,
				currInQueueCount,
				currInQueueBytes,
				avgQueueCount,
				avgQueueBytes,

				x2, ok := v2.XferStats[replication.MetricName(rm)]
				if !ok {
					x2 = replication.XferStats{}
				}
				x2.AvgRate += x.Avg
				x2.CurrRate += x.Curr
				if x.Peak > x2.PeakRate {
					x2.PeakRate = x.Peak
				}
				v2.XferStats[replication.MetricName(rm)] = x2
			}
			sm.Metrics[dID] = v2
		}
	}
	sm.Uptime = UTCNow().Unix() - globalBootTime.Unix()
	return sm, nil
}

            }
          }
        };

    assertEquals(0, (int) iter.peek());
    assertEquals(0, (int) iter.peek());
    assertTrue(iter.hasNext());
    assertEquals(0, (int) iter.peek());
    assertEquals(0, (int) iter.next());

    assertEquals(1, (int) iter.peek());
    assertEquals(1, (int) iter.next());

    /*
     * We test peek() after various calls to make sure that one bad call doesn't interfere with its

            }
          }
        };

    assertEquals(0, (int) iter.peek());
    assertEquals(0, (int) iter.peek());
    assertTrue(iter.hasNext());
    assertEquals(0, (int) iter.peek());
    assertEquals(0, (int) iter.next());

    assertEquals(1, (int) iter.peek());
    assertEquals(1, (int) iter.next());

    /*
     * We test peek() after various calls to make sure that one bad call doesn't interfere with its

    *   Object metadata has now been deprecated and no longer saved to the
        SavedModel.

*   TF Core:

    *   Added `tf.config.experimental.reset_memory_stats` to reset the tracked
        peak memory returned by `tf.config.experimental.get_memory_info`.

*   `tf.data`:

    *   Added `target_workers` param to `data_service_ops.from_dataset_id` and

    assertSame(EntryFactory.WEAK, EntryFactory.getFactory(Strength.WEAK, false, false));
    assertSame(EntryFactory.WEAK_ACCESS, EntryFactory.getFactory(Strength.WEAK, true, false));
    assertSame(EntryFactory.WEAK_WRITE, EntryFactory.getFactory(Strength.WEAK, false, true));
    assertSame(EntryFactory.WEAK_ACCESS_WRITE, EntryFactory.getFactory(Strength.WEAK, true, true));
  }

  // computation tests