a = append(a, k)
			}
			return a
		}
		lsum = func(s []int64) int64 {
			sum := int64(0)
			for _, i := range s {
				if i < 0 {
					return -1
				}
				sum += i
			}
			return sum
		}
		esum = func(oi ObjectInfo) int64 {
			sum := int64(0)
			for _, i := range oi.Parts {
				sum += i.Size
			}
			return sum
		}
	)

	s1 := []int64{5487701, 5487799, 3}

dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> 1744890333 -0700

Alex <******@****.***> 1757179999 -0700

dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> 1744840456 -0700

        sum += array[index].hashCode();
      }
    }
    return sum;
  }

  @Benchmark
  int arrayFor(int reps) {
    int sum = 0;
    for (int i = 0; i < reps; i++) {
      for (Object value : array) {
        sum += value.hashCode();
      }
    }
    return sum;
  }

  @Benchmark
  int arrayListIndexed(int reps) {
    int sum = 0;
    for (int i = 0; i < reps; i++) {

    add(-1L);
  }

  /**
   * Returns the current sum. The returned value is NOT an atomic snapshot; invocation in
   * the absence of concurrent updates returns an accurate result, but concurrent updates that occur
   * while the sum is being calculated might not be incorporated.
   *
   * @return the sum
   */
  @Override
  public long sum() {
    long sum = base;
    Cell[] as = cells;
    if (as != null) {

        double sum = 0.0;
        for (double value : values) {
          sum += value;
        }
        return sum / values.length;
      }
    },
    KAHAN {
      @Override
      double mean(double[] values) {
        double sum = 0.0;
        double c = 0.0;
        for (double value : values) {
          double y = value - c;
          double t = sum + y;
          c = (t - sum) - y;

      "targets": [
        {
          "datasource": {
            "type": "prometheus",
            "uid": "${DS_PROMETHEUS}"
          },
          "exemplar": true,
          "expr": "sum by (server) (minio_node_replication_average_active_workers{job=\"$scrape_jobs\"})",
          "interval": "1m",
          "intervalFactor": 2,
          "legendFormat": "{{server}}",
          "refId": "A"
        }

		totalDrives := onlineDrives.Merge(offlineDrives)

		v = storageMetrics{
			storageInfo:   storageInfo,
			onlineDrives:  onlineDrives.Sum(),
			offlineDrives: offlineDrives.Sum(),
			totalDrives:   totalDrives.Sum(),
			ioStats:       map[string]driveIOStatMetrics{},
		}

		currentStats := getCurrentDriveIOStats()
		now := time.Now().UTC()

		prevDriveIOStatsMu.Lock()

      "targets": [
        {
          "datasource": {
            "type": "prometheus",
            "uid": "${DS_PROMETHEUS}"
          },
          "exemplar": true,
          "expr": "sum by (server) (minio_cluster_replication_received_bytes{job=\"$scrape_jobs\"})",
          "interval": "1m",
          "intervalFactor": 2,
          "legendFormat": "{{server}}",
          "refId": "A"
        }