if d < 0 {
		return -d
	}
	return d
}

// averageDelta returns the average delta in RGB space. The two images must
// have the same bounds.
func averageDelta(m0, m1 image.Image) int64 {
	b := m0.Bounds()
	return averageDeltaBound(m0, m1, b, b)
}

// averageDeltaBound returns the average delta in RGB space. The average delta is
// calculated in the specified bounds.

  // QPS from loadbalancer running outside of cluster).
  // +optional
  optional ExternalMetricStatus external = 5;
}

// MetricTarget defines the target value, average value, or average utilization of a specific metric
message MetricTarget {
  // type represents whether the metric type is Utilization, Value, or AverageValue
  optional string type = 1;

  // QPS from loadbalancer running outside of cluster).
  // +optional
  optional ExternalMetricStatus external = 5;
}

// MetricTarget defines the target value, average value, or average utilization of a specific metric
message MetricTarget {
  // type represents whether the metric type is Utilization, Value, or AverageValue
  optional string type = 1;

	"":                   "MetricTarget defines the target value, average value, or average utilization of a specific metric",
	"type":               "type represents whether the metric type is Utilization, Value, or AverageValue",
	"value":              "value is the target value of the metric (as a quantity).",
	"averageValue":       "averageValue is the target value of the average of the metric across all relevant pods (as a quantity)",

  // QPS from loadbalancer running outside of cluster).
  // +optional
  optional ExternalMetricStatus external = 5;
}

// MetricTarget defines the target value, average value, or average utilization of a specific metric
message MetricTarget {
  // type represents whether the metric type is Utilization, Value, or AverageValue
  optional string type = 1;

      
      By using a startup probe, we can poll for the sidecar to start more aggressively, without polling as aggressively throughout
      the entire pod's lifecycle.
      On average, this improves pod startup time by roughly 1s.
      
      If the startup probe does not pass after 10 minutes, the pod will be terminated.

)

// leastResourceScorer favors nodes with fewer requested resources.
// It calculates the percentage of memory, CPU and other resources requested by pods scheduled on the node, and
// prioritizes based on the minimum of the average of the fraction of requested to capacity.
//
// Details:
// (cpu((capacity-requested)*MaxNodeScore*cpuWeight/capacity) + memory((capacity-requested)*MaxNodeScore*memoryWeight/capacity) + ...)/weightSum

  AverageMinMax calibration calculates the average of min and max values.
  average of min = sum of min values / number of samples
  average of max = sum of max values / number of samples
  """

  def get_min_max_value(self) -> tuple[float, float]:
    """Calculates the average of min and max values.

    Returns:

                } catch (final Exception e) {
                    logger.warn("Failed to read a sugget elevate word: {}", list, e);
                }
            }
            searchEngineClient.refresh("_all"); // TODO replace _all
        } catch (final IOException e) {
            logger.warn("Failed to read a sugget elevate word.", e);
        }
    }

    public void exportCsv(final Writer writer) {

// GetResourceUtilizationRatio takes in a set of metrics, a set of matching requests,
// and a target utilization percentage, and calculates the ratio of
// desired to actual utilization (returning that, the actual utilization, and the raw average value)
func GetResourceUtilizationRatio(metrics PodMetricsInfo, requests map[string]int64, targetUtilization int32) (utilizationRatio float64, currentUtilization int32, rawAverageValue int64, err error) {
	metricsTotal := int64(0)