private long value;

    public void increment() {
      value++;
    }

    public void add(long x) {
      value += x;
    }

    public long sum() {
      return value;
    }
  }

pkg hash, type Cloner interface { BlockSize, Clone, Reset, Size, Sum, Write } #69521
pkg hash, type Cloner interface, BlockSize() int #69521
pkg hash, type Cloner interface, Clone() (Cloner, error) #69521
pkg hash, type Cloner interface, Reset() #69521
pkg hash, type Cloner interface, Size() int #69521
pkg hash, type Cloner interface, Sum([]uint8) []uint8 #69521
pkg hash, type Cloner interface, Write([]uint8) (int, error) #69521

    // this case only, we can compute the sum as a long without risking overflow or loss of
    // precision. So we do that, as it's slightly quicker than the Knuth algorithm.
    long sum = 0;
    for (int index = 0; index < values.length; ++index) {
      sum += values[index];
    }
    return (double) sum / values.length;
  }

  /**

"version":1,"visState":"{\"title\":\"search-term-rank\",\"type\":\"table\",\"params\":{\"perPage\":10,\"showPartialRows\":false,\"showMetricsAtAllLevels\":false,\"sort\":{\"columnIndex\":null,\"direction\":null},\"showTotal\":false,\"totalFunc\":\"sum\",\"dimensions\":{\"metrics\":[{\"accessor\":0,\"format\":{\"id\":\"number\"},\"params\":{},\"aggType\":\"count\"}],\"buckets\":[]}},\"aggs\":[{\"id\":\"1\",\"enabled\":true,\"type\":\"count\",\"schema\":\"metric\",\"params\":{}},{\"id\":\"2\",\"en...

        }
        sum -= segments[i].modCount;
      }
      return sum == 0L;
    }
    return true;
  }

  @Override
  public int size() {
    Segment<K, V, E, S>[] segments = this.segments;
    long sum = 0;
    for (int i = 0; i < segments.length; ++i) {
      sum += segments[i].count;
    }
    return Ints.saturatedCast(sum);
  }

  @Override

	tx.Statement.Joins = append(tx.Statement.Joins, join{Name: query, Conds: args, JoinType: joinType})
	return
}

// Group specify the group method on the find
//
//	// Select the sum age of users with given names
//	db.Model(&User{}).Select("name, sum(age) as total").Group("name").Find(&results)
func (db *DB) Group(name string) (tx *DB) {
	tx = db.getInstance()

	fields := strings.FieldsFunc(name, utils.IsInvalidDBNameChar)

		metric.Cumulative = val
	} else {
		metric.Current = val
	}

	if metric.Current > metric.Max {
		metric.Max = val
	}

	metric.Sum += metric.Current
	metric.Count++

	metric.Avg = metric.Sum / float64(metric.Count)
	subsysMetrics[key] = metric

	resourceMetricsMap[subSys] = subsysMetrics
}

     * undefined which (if any) of these modifications will be reflected in the result.
     */
    @Override
    public int size() {
      long sum = 0L;
      for (Integer value : countMap.values()) {
        sum += value;
      }
      return Ints.saturatedCast(sum);
    }

    /*
     * Note: the superclass toArray() methods assume that size() gives a correct
     * answer, which ours does not.
     */

    @Override
    public void increment() {
      getAndIncrement();
    }

    @Override
    public void add(long x) {
      getAndAdd(x);
    }

    @Override
    public long sum() {
      return get();
    }
  }

  private LongAddables() {}

		return key, ErrInvalidCustomerKey
	}
	keyMD5, err := base64.StdEncoding.DecodeString(h.Get(xhttp.AmzServerSideEncryptionCopyCustomerKeyMD5))
	if md5Sum := md5.Sum(clientKey); err != nil || !bytes.Equal(md5Sum[:], keyMD5) {
		return key, ErrCustomerKeyMD5Mismatch
	}
	copy(key[:], clientKey)
	return key, nil