return await original_route_handler(request)

        return custom_route_handler


app = FastAPI()
app.router.route_class = GzipRoute


@app.post("/sum")
async def sum_numbers(numbers: List[int] = Body()):

    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) {

    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) {

		unsealConfig = sio.Config{MinVersion: sio.Version20, Key: mac.Sum(nil), CipherSuites: fips.DARECiphers()}
	case InsecureSealAlgorithm:
		sha := sha256.New()
		sha.Write(extKey)
		sha.Write(sealedKey.IV[:])
		unsealConfig = sio.Config{MinVersion: sio.Version10, Key: sha.Sum(nil), CipherSuites: fips.DARECiphers()}
	}

    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) {

{
  sum(query, by=[]):
    if std.length(by) == 0 then
      'sum (%s)' % [query]
    else
      'sum by (%s) (%s)' % [std.join(',', by), query],
  irate(query):
    'irate(%s[$__rate_interval])' % query,
  rate(query):
    'rate(%s[$__rate_interval])' % query,
  round(query, by=0.01):
    'round(%s, %s)' % [query, by],
  quantile(quantile, query):
    'histogram_quantile(%s, %s)' %[quantile, query],
  labels(metric_name, labels):

		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()

  }

  public void testSum() {
    assertThat(EMPTY_STATS_VARARGS.sum()).isEqualTo(0.0);
    assertThat(EMPTY_STATS_ITERABLE.sum()).isEqualTo(0.0);
    assertThat(ONE_VALUE_STATS.sum()).isWithin(ALLOWED_ERROR).of(ONE_VALUE);
    assertThat(TWO_VALUES_STATS.sum()).isWithin(ALLOWED_ERROR).of(TWO_VALUES_MEAN * 2);
    assertThat(MANY_VALUES_STATS_VARARGS.sum())
        .isWithin(ALLOWED_ERROR)

               },
               "expr": "sum by (pod) (rate(istio_tcp_connections_opened_total{pod=~\"ztunnel-.*\"}[$__rate_interval]))",
               "legendFormat": "Opened ({{pod}})"
            },
            {
               "datasource": {
                  "type": "prometheus",
                  "uid": "$datasource"
               },

    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;
  }