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
          if ((hash1 ^ hash2) != delta) {
            diff = true;
            continue;
          }

      "FINE: Q10000 finished run in   0 µs: task",
    )
  }

  /** Repeat with a delay of 200 but schedule with a delay of 50. The schedule wins. */
  @Test fun executeScheduledEarlierReplacesRepeatedLater() {
    val task =
      object : Task("task") {
        val schedules = mutableListOf(50.µs)
        val delays = mutableListOf(200.µs, -1)

        override fun runOnce(): Long {

    }
  }

  companion object {
    internal const val EMIT_BUFFER_SIZE = 16384L
  }

  /** [delta] will be negative if a settings frame initial window is smaller than the last. */
  fun addBytesToWriteWindow(delta: Long) {
    writeBytesMaximum += delta
    if (delta > 0L) {
      notifyAll()
    }
  }

  @Throws(IOException::class)
  internal fun checkOutNotClosed() {
    when {

        }
    }

    /**
     * Applies delay based on the configured interval rules.
     * This method calculates the appropriate delay for the current time
     * and applies it by sleeping the current thread.
     */
    public void delayByRules() {
        final long delay = getDelay();
        if (delay > 0) {
            ThreadUtil.sleep(delay);
        }
    }

    /**

            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);
        }
      }

      ) {
        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
        }

   *
   * @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

  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);
  }

  /**

         * handles any errors, and ensures cleanup operations are executed.
         * After successful crawling, it commits the index updates and
         * deletes old documents if configured to do so.
         */
        protected void process() {
            final DataStoreFactory dataStoreFactory = ComponentUtil.getDataStoreFactory();

      }
    } else {
      count++;
      if (isFinite(value) && isFinite(mean)) {
        // Art of Computer Programming vol. 2, Knuth, 4.2.2, (15) and (16)
        double delta = value - mean;
        mean += delta / count;
        sumOfSquaresOfDeltas += delta * (value - mean);
      } else {
        mean = calculateNewMeanNonFinite(mean, value);
        sumOfSquaresOfDeltas = NaN;
      }
      min = Math.min(min, value);