return e.aggregate.runningSum, err

	case aggFnMin:
		if !e.aggregate.seen {
			// No rows were seen by MIN
			return FromNull(), nil
		}
		return e.aggregate.runningMin, nil

	case aggFnMax:
		if !e.aggregate.seen {
			// No rows were seen by MAX
			return FromNull(), nil
		}
		return e.aggregate.runningMax, nil

	case aggFnSum:
		// TODO: check if returning 0 when no rows were seen

                </tag>
              </tags>
            </configuration>
            <reportSets>
              <reportSet>
                <id>aggregate</id>
                <reports>
                  <report>aggregate</report>
                </reports>
                <inherited>false</inherited>
              </reportSet>
            </reportSets>
          </plugin>
          <plugin>

	atomic.AddUint64(&m.bytesSinceLastWindow, bytes)
}

// updateExponentialMovingAverage processes the measurements captured so far.
func (m *bucketMeasurement) updateExponentialMovingAverage(endTime time.Time) {
	// Calculate aggregate avg bandwidth and exp window avg
	m.lock.Lock()
	defer func() {
		m.startTime = endTime
		m.lock.Unlock()
	}()

	if m.startTime.IsZero() {
		return
	}

	if endTime.Before(m.startTime) {
		return

 * if some elements are too small, they will be aggregated by smallElementAggregateFunction.
 *
 * @param list the list to split, must be ordered by size desc
 * @param toIntFunction the function used to map the element to its "size"
 * @param largeElementSplitFunction the function used to further split the large element into smaller pieces
 * @param smallElementAggregateFunction the function used to aggregate tiny elements into a large bucket

plugins {
    id("base")
}

val reports by configurations.creating {
    isVisible = false
    isCanBeResolved = false
    isCanBeConsumed = false
    description = "Dependencies to aggregate reports from"
}

val allIncubationReports = tasks.register<IncubatingApiAggregateReportTask>("allIncubationReports") {
    group = "verification"
    reports.from(resolver("txt"))

          + aggregateAboveRange(aggr, node.left);
    }
  }

  @Override
  public int size() {
    return Ints.saturatedCast(aggregateForEntries(Aggregate.SIZE));
  }

  @Override
  int distinctElements() {
    return Ints.saturatedCast(aggregateForEntries(Aggregate.DISTINCT));
  }

  static int distinctElements(@CheckForNull AvlNode<?> node) {
    return (node == null) ? 0 : node.distinctElements;
  }

		cl.forwardTo(cm.UpdatedAt)
		merged.UpdatedAt = cm.UpdatedAt
	}

	for i := range cl.Bins {
		merged.Bins[i] = cl.Bins[i].add(cm.Bins[i])
	}

	return merged
}

// DailyAllTierStats is used to aggregate last day tier stats across MinIO servers
type DailyAllTierStats map[string]lastDayTierStats

func (l DailyAllTierStats) merge(m DailyAllTierStats) {
	for tier, st := range m {
		l[tier] = l[tier].merge(st)
	}
}

import com.google.errorprone.annotations.concurrent.LazyInit;
import java.util.Collections;
import java.util.List;
import javax.annotation.CheckForNull;
import org.checkerframework.checker.nullness.qual.Nullable;

/** Aggregate future that collects (stores) results of each future. */
@GwtCompatible(emulated = true)
@ElementTypesAreNonnullByDefault
abstract class CollectionFuture<V extends @Nullable Object, C extends @Nullable Object>

        msd("Memory Controller")
        asd("Aggregate")
        ksd--Join-->asd
        sesd--Join-->asd
        msd--Join-->asd
        ksd<--"Data Sharing"-->sesd
    end
    subgraph ConfigStore
        ccs("CRD Client")
        xcs("XDS Store")
        fcs("File Store")
        mcs("Memory Store")
        acs("Aggregate")
        ccs--Join-->acs
        xcs--Join-->acs

import "k8s.io/apimachinery/pkg/runtime/schema/generated.proto";

// Package-wide variables from generator "generated".
option go_package = "k8s.io/api/rbac/v1";

// AggregationRule describes how to locate ClusterRoles to aggregate into the ClusterRole
message AggregationRule {
  // ClusterRoleSelectors holds a list of selectors which will be used to find ClusterRoles and create the rules.