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) {

        {
          "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,

            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) {

  ASSERT_EQ(TF_GetCode(status), TF_OK) << TF_Message(status);
  TFE_DeleteTensorHandle(retvals[0]);
  float sum = 0;
  EXPECT_EQ(sizeof(sum), TF_TensorByteSize(t));
  memcpy(&sum, TF_TensorData(t), TF_TensorByteSize(t));
  TF_DeleteTensor(t);
  EXPECT_EQ(sum, 6.0);

  TFE_DeleteTensorHandle(h0);
  TFE_DeleteTensorHandle(h1);
  TFE_DeleteTensorHandle(h2);

      return new CacheStats(
          negativeToMaxValue(hitCount.sum()),
          negativeToMaxValue(missCount.sum()),
          negativeToMaxValue(loadSuccessCount.sum()),
          negativeToMaxValue(loadExceptionCount.sum()),
          negativeToMaxValue(totalLoadTime.sum()),
          negativeToMaxValue(evictionCount.sum()));
    }

    if compress:
        data = gzip.compress(data)
        headers["Content-Encoding"] = "gzip"
    headers["Content-Type"] = "application/json"
    response = client.post("/sum", content=data, headers=headers)
    assert response.json() == {"sum": n}


def test_request_class():
    response = client.get("/check-class")

    assertThat(TWO_VALUES_PAIRED_STATS.sampleCovariance())
        .isWithin(ALLOWED_ERROR)
        .of(TWO_VALUES_SUM_OF_PRODUCTS_OF_DELTAS);
    assertThat(MANY_VALUES_PAIRED_STATS.sampleCovariance())
        .isWithin(ALLOWED_ERROR)
        .of(MANY_VALUES_SUM_OF_PRODUCTS_OF_DELTAS / (MANY_VALUES_COUNT - 1));
    assertThat(HORIZONTAL_VALUES_PAIRED_STATS.sampleCovariance()).isWithin(ALLOWED_ERROR).of(0.0);

    assertThat(TWO_VALUES_PAIRED_STATS.sampleCovariance())
        .isWithin(ALLOWED_ERROR)
        .of(TWO_VALUES_SUM_OF_PRODUCTS_OF_DELTAS);
    assertThat(MANY_VALUES_PAIRED_STATS.sampleCovariance())
        .isWithin(ALLOWED_ERROR)
        .of(MANY_VALUES_SUM_OF_PRODUCTS_OF_DELTAS / (MANY_VALUES_COUNT - 1));
    assertThat(HORIZONTAL_VALUES_PAIRED_STATS.sampleCovariance()).isWithin(ALLOWED_ERROR).of(0.0);

            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 setEndTime_Sum() {
        setEndTime_Sum(null);
    }

    public void setEndTime_Sum(ConditionOptionCall<SumAggregationBuilder> opLambda) {
        setEndTime_Sum("endTime", opLambda);
    }

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