* @param pairs
     * @return encoded avpairs
     */
    public static byte[] encode ( List<AvPair> pairs ) {
        int size = 0;
        for ( AvPair p : pairs ) {
            size += 4 + p.getRaw().length;
        }
        size += 4;

        byte[] enc = new byte[size];
        int pos = 0;
        for ( AvPair p : pairs ) {
            byte[] raw = p.getRaw();

        if (protwordsItemList == null) {
            reload(null);
        }

        if (offset >= protwordsItemList.size() || offset < 0) {
            return new PagingList<>(Collections.<ProtwordsItem> emptyList(), offset, size, protwordsItemList.size());
        }

        int toIndex = offset + size;
        if (toIndex > protwordsItemList.size()) {

        if (stopwordsItemList == null) {
            reload(null);
        }

        if (offset >= stopwordsItemList.size() || offset < 0) {
            return new PagingList<>(Collections.<StopwordsItem> emptyList(), offset, size, stopwordsItemList.size());
        }

        int toIndex = offset + size;
        if (toIndex > stopwordsItemList.size()) {

            int start = params.getStartPosition();
            int size = params.getPageSize();
            SearchResultBuilder builder = SearchResult.create();
            for (int i = start; i < start + size && i < allRecordCount; i++) {
                Map<String, Object> doc = new HashMap<>();
                doc.put(ID_FIELD, Integer.toString(i));

)

const (
	// Block size used for all internal operations version 1.

	// TLDR..
	// Not used anymore xl.meta captures the right blockSize
	// so blockSizeV2 should be used for all future purposes.
	// this value is kept here to calculate the max API
	// requests based on RAM size for existing content.
	blockSizeV1 = 10 * humanize.MiByte

	// Block size used in erasure coding version 2.

  private static final Random random = new Random(42);

  @Param({"10", "1000", "100000", "1000000"})
  private int size;

  @Param HashFunctionEnum hashFunctionEnum;

  private byte[] testBytes;

  @BeforeExperiment
  void setUp() {
    testBytes = new byte[size];
    random.nextBytes(testBytes);
  }

  @Benchmark
  int hasher(int reps) {

            + "duplicate element in the list",
        firstIndex == getList().indexOf(duplicate));
    assertEquals(
        "remove(present) should decrease the size of a list by one.",
        initialSize - 1,
        getList().size());
  }

const (
	// minBufferSize is the minimum buffer size.
	// Buffers below this is not reused.
	minBufferSize = 1 << 10

	// defaultBufferSize is the default buffer allocation size.
	defaultBufferSize = 4 << 10

	// maxBufferSize is the maximum buffer size.
	// Buffers larger than this is not reused.
	maxBufferSize = 96 << 10

	// This is the assumed size of bigger buffers and allocation size.
	biggerBufMin = 32 << 10

   * them until they are needed.  When there is no contention, all
   * updates are made to the base field.  Upon first contention (a
   * failed CAS on base update), the table is initialized to size 2.
   * The table size is doubled upon further contention until
   * reaching the nearest power of two greater than or equal to the
   * number of CPUS. Table slots remain empty (null) until they are
   * needed.
   *

    queue.enqueue(incrementingEvent(counters, listener, 2));
    queue.enqueue(incrementingEvent(counters, listener, 3));
    queue.enqueue(incrementingEvent(counters, listener, 4));
    assertEquals(0, counters.size());
    queue.dispatch();
    assertEquals(multiset(listener, 4), counters);
  }

  public void testEnqueueAndDispatch_multipleListeners() {
    Object listener1 = new Object();