}

  /** Returns a new bias. */
  private fun adapt(
    delta: Int,
    numpoints: Int,
    first: Boolean,
  ): Int {
    var delta =
      when {
        first -> delta / DAMP
        else -> delta / 2
      }
    delta += (delta / numpoints)
    var k = 0
    while (delta > ((BASE - TMIN) * TMAX) / 2) {
      delta /= (BASE - TMIN)
      k += BASE
    }

          case ADD:
            {
              int delta = random.nextInt(10);
              multiset.add(key, delta);
              deltas[keyIndex] += delta;
              break;
            }
          case SET_COUNT:
            {
              int newValue = random.nextInt(3);
              int oldValue = multiset.setCount(key, newValue);
              deltas[keyIndex] += (newValue - oldValue);
              break;

                        break;
                      case 5:
                        map.getAndAdd(key, delta);
                        threadSum += delta;
                        break;
                      case 6:
                        long oldValue = map.put(key, delta);
                        threadSum += delta - oldValue;
                        break;
                      case 7:

TFE_MonitoringCounter1* CreateCounter1(const char* counter_name,
                                       const char* label);
void IncrementCounter0(TFE_MonitoringCounter0* counter, int64_t delta = 1);
void IncrementCounter1(TFE_MonitoringCounter1* counter, const char* label,
                       int64_t delta = 1);

TEST(CAPI, MonitoringCellReader0) {
  auto counter_name = "test/counter0";
  auto* counter = CreateCounter0(counter_name);

  private int value;

  Count(int value) {
    this.value = value;
  }

  public int get() {
    return value;
  }

  public void add(int delta) {
    value += delta;
  }

  public int addAndGet(int delta) {
    return value += delta;
  }

  public void set(int newValue) {
    value = newValue;
  }

  public int getAndSet(int newValue) {
    int result = value;
    value = newValue;

        double mean = meanAlgorithm.mean(values);
        double sumOfSquaresOfDeltas = 0.0;
        for (double value : values) {
          double delta = value - mean;
          sumOfSquaresOfDeltas += delta * delta;
        }
        return new MeanAndVariance(mean, sumOfSquaresOfDeltas / values.length);
      }
    },
    KAHAN {
      @Override

  private int value;

  Count(int value) {
    this.value = value;
  }

  public int get() {
    return value;
  }

  public void add(int delta) {
    value += delta;
  }

  public int addAndGet(int delta) {
    return value += delta;
  }

  public void set(int newValue) {
    value = newValue;
  }

  public int getAndSet(int newValue) {
    int result = value;
    value = newValue;

  }

  /**
   * @param delta the offset from the current date to use. Negative values yield dates in the past;
   *     positive values yield dates in the future.
   */
  private fun formatDate(
    delta: Long,
    timeUnit: TimeUnit,
  ): String? {
    return formatDate(Date(System.currentTimeMillis() + timeUnit.toMillis(delta)))
  }

  private fun formatDate(date: Date): String? {

                            {
                                "title": "Process After",
                                "type": "number",
                                "format": "time-delta",
                            }
                        ),
                    },
                    "required": ["start_datetime", "end_datetime", "process_after"],
                },

      in 64..79 -> {
        // Mapped inline as codePoint delta to subtract
        val b2 = ranges[rangesIndex + 2].code
        val b3 = ranges[rangesIndex + 3].code

        val codepointDelta = (b1 and 0xF shl 14) or (b2 shl 7) or b3
        sink.writeUtf8CodePoint(codePoint - codepointDelta)
      }
      in 80..95 -> {
        // Mapped inline as codePoint delta to add
        val b2 = ranges[rangesIndex + 2].code