}

  /** 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
    }

            {
              int delta = random.nextInt(6); // [0, 5]
              int oldValue = multiset.remove(key, delta);
              deltas[keyIndex] -= min(delta, oldValue);
              break;
            }
          case REMOVE_EXACTLY:
            {
              int delta = random.nextInt(5); // [0, 4]
              if (multiset.removeExactly(key, delta)) {
                deltas[keyIndex] -= delta;

        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

            Long.MIN_VALUE,
            Long.MAX_VALUE)) {
      for (double delta : Doubles.asList(0.0, 1.0, 2.0)) {
        integralBuilder.addAll(Doubles.asList(d + delta, d - delta, -d - delta, -d + delta));
      }
      for (double delta : Doubles.asList(0.01, 0.1, 0.25, 0.499, 0.5, 0.501, 0.7, 0.8)) {
        double x = d + delta;
        if (x != Math.round(x)) {
          fractionalBuilder.add(x);
        }
      }

        while (!diff) {
          int delta = (1 << i) | (1 << j);
          int key1 = rand.nextInt();
          // apply delta
          int key2 = key1 ^ delta;

          // get hashes
          int hash1 = function.hashInt(key1).asInt();
          int hash2 = function.hashInt(key2).asInt();

          // this 2-bit candidate delta is not a characteristic
          // if deltas are different

   *
   * @param i the index
   * @param delta the value to add
   * @return the previous value
   */
  @CanIgnoreReturnValue
  public final double getAndAdd(int i, double delta) {
    return getAndAccumulate(i, delta, Double::sum);
  }

  /**
   * Atomically adds the given value to the element at index {@code i}.
   *
   * @param i the index
   * @param delta the value to add
   * @return the updated value

    final List<E> delegate;
    final int delta;

    MisleadingSizeList(List<E> delegate, int delta) {
      this.delegate = delegate;
      this.delta = delta;
    }

    @Override
    protected List<E> delegate() {
      return delegate;
    }

    @Override
    public int size() {
      return delegate.size() + delta;
    }
  }

      ) {
        var index = index
        headerList.add(entry)

        var delta = entry.hpackSize
        if (index != -1) { // Index -1 == new header.
          delta -= dynamicTable[dynamicTableIndex(index)]!!.hpackSize
        }

        // if the new or replacement header is too big, drop all entries.
        if (delta > maxDynamicTableByteCount) {
          clearDynamicTable()
          return
        }

  public long decrementAndGet(K key) {
    return addAndGet(key, -1);
  }

  /**
   * Adds {@code delta} to the value currently associated with {@code key}, and returns the new
   * value.
   */
  @CanIgnoreReturnValue
  public long addAndGet(K key, long delta) {
    return accumulateAndGet(key, delta, Long::sum);
  }

  /**

    final List<E> delegate;
    final int delta;

    MisleadingSizeList(List<E> delegate, int delta) {
      this.delegate = delegate;
      this.delta = delta;
    }

    @Override
    protected List<E> delegate() {
      return delegate;
    }

    @Override
    public int size() {
      return delegate.size() + delta;
    }
  }