opLambda.callback(builder);
        }
    }

    public void setBoost_Sum() {
        setBoost_Sum(null);
    }

    public void setBoost_Sum(ConditionOptionCall<SumAggregationBuilder> opLambda) {
        setBoost_Sum("boost", opLambda);
    }

    public void setBoost_Sum(String name, ConditionOptionCall<SumAggregationBuilder> opLambda) {

      }
    }
  }

  /** getAndAccumulate with sum adds given value to current, and returns previous value */
  public void testGetAndAccumulateWithSum() {
    for (double x : VALUES) {
      for (double y : VALUES) {
        AtomicDouble a = new AtomicDouble(x);
        double z = a.getAndAccumulate(y, Double::sum);
        assertBitEquals(x, z);
        assertBitEquals(x + y, a.get());
      }

            opLambda.callback(builder);
        }
    }

    public void setHitCount_Sum() {
        setHitCount_Sum(null);
    }

    public void setHitCount_Sum(ConditionOptionCall<SumAggregationBuilder> opLambda) {
        setHitCount_Sum("hitCount", opLambda);
    }

    public void setHitCount_Sum(String name, ConditionOptionCall<SumAggregationBuilder> opLambda) {

        {
          "datasource": {
            "type": "prometheus",
            "uid": "${DS_PROMETHEUS}"
          },
          "editorMode": "code",
          "exemplar": true,
          "expr": "sum by (bucket,range) (minio_bucket_objects_size_distribution{job=\"$scrape_jobs\"})",
          "format": "time_series",
          "instant": false,
          "interval": "",
          "intervalFactor": 1,

    Collector<Cell<String, String, Integer>, ?, ImmutableTable<String, String, Integer>> collector =
        TableCollectors.toImmutableTable(
            Cell::getRowKey, Cell::getColumnKey, Cell::getValue, Integer::sum);
    BiPredicate<ImmutableTable<String, String, Integer>, ImmutableTable<String, String, Integer>>
        equivalence = pairwiseOnResultOf(ImmutableTable::cellSet);
    CollectorTester.of(collector, equivalence)

    // We define the arithmetic means X_n = 1/n \sum_{i=1}^n x_i, and Y_n = 1/n \sum_{i=1}^n y_i.
    // We also define the sum of the products of the differences from the means
    //           C_n = \sum_{i=1}^n x_i y_i - n X_n Y_n
    // for all n >= 1. Then for all n > 1:
    //       C_{n-1} = \sum_{i=1}^{n-1} x_i y_i - (n-1) X_{n-1} Y_{n-1}

            opLambda.callback(builder);
        }
    }

    public void setCreatedTime_Sum() {
        setCreatedTime_Sum(null);
    }

    public void setCreatedTime_Sum(ConditionOptionCall<SumAggregationBuilder> opLambda) {
        setCreatedTime_Sum("createdTime", opLambda);
    }

    public void setCreatedTime_Sum(String name, ConditionOptionCall<SumAggregationBuilder> opLambda) {

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

            opLambda.callback(builder);
        }
    }

    public void setAvailable_Sum() {
        setAvailable_Sum(null);
    }

    public void setAvailable_Sum(ConditionOptionCall<SumAggregationBuilder> opLambda) {
        setAvailable_Sum("available", opLambda);
    }

    public void setAvailable_Sum(String name, ConditionOptionCall<SumAggregationBuilder> opLambda) {

            opLambda.callback(builder);
        }
    }

    public void setCreatedTime_Sum() {
        setCreatedTime_Sum(null);
    }

    public void setCreatedTime_Sum(ConditionOptionCall<SumAggregationBuilder> opLambda) {
        setCreatedTime_Sum("createdTime", opLambda);
    }

    public void setCreatedTime_Sum(String name, ConditionOptionCall<SumAggregationBuilder> opLambda) {