// for any `x`, `ceil(x) - floor(x) <= 1`.

  // Consider that we pad the input of a average pool with floor rounding to the
  // appropriate size and switch the rounding mode to ceil. When computing the
  // average of a given window, the elements which exist in the newly padded
  // zones will be counted as present elements. Therefore in some windows we

		cpuNice:           "CPU nice time",
		cpuLoad1:          "CPU load average 1min",
		cpuLoad5:          "CPU load average 5min",
		cpuLoad15:         "CPU load average 15min",
		cpuLoad1Perc:      "CPU load average 1min (perentage)",
		cpuLoad5Perc:      "CPU load average 5min (percentage)",
		cpuLoad15Perc:     "CPU load average 15min (percentage)",
	}
	resourceMetricsGroups = []*MetricsGroupV2{

// AVERAGE-MIN-MAX-CHECK-NEXT:  "tf.AddV2"
// AVERAGE-MIN-MAX-CHECK-NEXT:  return

// AVERAGE-MIN-MAX-CHECK: func @composite_conv2d_with_relu6_fn
// AVERAGE-MIN-MAX-CHECK-NEXT:  "tf.Conv2D"
// AVERAGE-MIN-MAX-CHECK-NEXT:  "tf.Relu6"
// AVERAGE-MIN-MAX-CHECK-NEXT:  return

// CalibrationOptions(
//   calibration_method=CALIBRATION_METHOD_HISTOGRAM_PERCENTILE,

	"targetAverageUtilization": "targetAverageUtilization is the target value of the average of the resource metric across all relevant pods, represented as a percentage of the requested value of the resource for the pods.",

	}
	if _, ok := m1.(*image.Gray); !ok {
		t.Errorf("got %T, want *image.Gray", m1)
	}
	// Compare the average delta to the tolerance level.
	want := int64(2 << 8)
	if got := averageDelta(m0, m1); got > want {
		t.Errorf("average delta too high; got %d, want <= %d", got, want)
	}
}

// averageDelta returns the average delta in RGB space. The two images must
// have the same bounds.
func averageDelta(m0, m1 image.Image) int64 {

  optional string name = 1;

  // targetAverageUtilization is the target value of the average of the
  // resource metric across all relevant pods, represented as a percentage of
  // the requested value of the resource for the pods.
  // +optional
  optional int32 targetAverageUtilization = 2;

  // targetAverageValue is the target value of the average of the
  // resource metric across all relevant pods, as a raw value (instead of as

	DesiredReplicas int32 `json:"desiredReplicas" protobuf:"varint,4,opt,name=desiredReplicas"`

	// currentCPUUtilizationPercentage is the current average CPU utilization over all pods, represented as a percentage of requested CPU,
	// e.g. 70 means that an average pod is using now 70% of its requested CPU.
	// +optional

	// targetAverageUtilization is the target value of the average of the
	// resource metric across all relevant pods, represented as a percentage of
	// the requested value of the resource for the pods.
	// +optional
	TargetAverageUtilization *int32 `json:"targetAverageUtilization,omitempty" protobuf:"varint,2,opt,name=targetAverageUtilization"`
	// targetAverageValue is the target value of the average of the

	m2Distance := n.NUMADistances.CalculateAverageFor(m2)
	// If average distance is the same, take bitmask with more lower-number bits set.
	if m1Distance == m2Distance {
		if m1.IsLessThan(m2) {
			return m1
		}
		return m2
	}

	// Otherwise, return the bitmask with the shortest average distance between NUMA nodes.
	if m1Distance < m2Distance {
		return m1
	}

	return m2
}

	case sizeLessThan1GiB:
		return "LESS_THAN_1_GiB"
	case sizeGreaterThan1GiB:
		return "GREATER_THAN_1_GiB"
	default:
		return "unknown"
	}
}

// AccElem holds information for calculating an average value
type AccElem struct {
	Total int64
	Size  int64
	N     int64
}

// Add a duration to a single element.
func (a *AccElem) add(dur time.Duration) {
	if dur < 0 {
		dur = 0
	}