"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"
        }

    powerSet = Sets.powerSet(set);
  }

  @Benchmark
  int iteration(int reps) {
    int sum = 0;
    for (int i = 0; i < reps; i++) {
      for (Set<Integer> subset : powerSet) {
        for (Integer value : subset) {
          sum += value;
        }
      }
    }
    return sum;
  }

      }
    }
  }

  /**
   * Returns the sum of all values in this map.
   *
   * <p>This method is not atomic: the sum may or may not include other concurrent operations.
   */
  public long sum() {
    long sum = 0L;
    for (AtomicLong value : map.values()) {
      sum = sum + value.get();
    }
    return sum;
  }

  @LazyInit @CheckForNull private transient Map<K, Long> asMap;

  public void removeAllZeros() {
    map.values().removeIf(x -> x == 0);
  }

  /**
   * Returns the sum of all values in this map.
   *
   * <p>This method is not atomic: the sum may or may not include other concurrent operations.
   */
  public long sum() {
    return map.values().stream().mapToLong(Long::longValue).sum();
  }

  @LazyInit @CheckForNull private transient Map<K, Long> asMap;

        for (int i = 0; i < elements.length; i++) {
          // add to either; sum should contain all
          if (i % 2 == 0) {
            multiset1.add(elements[i]);
          } else {
            multiset2.add(elements[i]);
          }
        }
        return sum(multiset1, multiset2);
      }
    };
  }

  private static TestStringMultisetGenerator differenceGenerator() {

	return hex.EncodeToString(getSHA256Sum(data))
}

// getSHA256Hash returns SHA-256 sum of given data.
func getSHA256Sum(data []byte) []byte {
	hash := sha256.New()
	hash.Write(data)
	return hash.Sum(nil)
}

// getMD5Sum returns MD5 sum of given data.
func getMD5Sum(data []byte) []byte {
	hash := md5.New()
	hash.Write(data)
	return hash.Sum(nil)
}

// getMD5Hash returns MD5 hash in hex encoding of given data.

                }
              }));
    }
    threadPool.shutdown();
    assertTrue(threadPool.awaitTermination(300, SECONDS));
    long sum = 0;
    for (Future<Long> f : futures) {
      sum += f.get();
    }
    assertEquals(sum, map.get(key));
  }

        {
          "datasource": {
            "type": "prometheus",
            "uid": "${datasource}"
          },
          "expr": "(sum(irate(container_cpu_usage_seconds_total{namespace!=\"istio-system\",container=\"istio-proxy\"}[1m]))/ (round(sum(irate(istio_requests_total[1m])), 0.001)/1000))/ (sum(irate(istio_requests_total{source_workload=\"istio-ingressgateway\"}[1m])) >bool 10)",
          "format": "time_series",
          "intervalFactor": 1,

// so far. Reading more content changes the MD5
// checksum. Therefore, calling ETag multiple
// times may return different results.
func (r *Reader) ETag() ETag {
	sum := r.md5.Sum(nil)
	return ETag(sum)
}

// VerifyError is an error signaling that a
// computed ETag does not match an expected
// ETag.
type VerifyError struct {
	Expected ETag
	Computed ETag
}

  // If the output is a scalar, then return the scalar output
  if (num_dims_out == 0) {
    outputs[0] = model_out.release();
    return absl::OkStatus();
  }

  // Else, reduce sum the output to get a scalar

  // Will sum all dimensions, so get a Tensor containing [0,...,num_dims_out-1].
  AbstractTensorHandlePtr sum_dims;
  {
    vector<int32_t> vals(num_dims_out);
    int64_t vals_shape[] = {num_dims_out};