.add("in", "the", "quick", "jumped", "over", "a")
            .build();
    assertThat(set).containsExactly("a", "in", "the", "over", "quick", "jumped").inOrder();
  }

  public void testExplicit_ordering_dupes() {
    SortedSet<String> set =
        ImmutableSortedSet.orderedBy(STRING_LENGTH)
            .add("in", "the", "quick", "brown", "fox", "jumped", "over", "a", "lazy", "dog")
            .build();

 *
 * @author Louis Wasserman
 * @param <K0> An upper bound on the key type of the generated multimap.
 * @param <V0> An upper bound on the value type of the generated multimap.
 * @since 16.0
 */
@GwtCompatible
public abstract class MultimapBuilder<K0 extends @Nullable Object, V0 extends @Nullable Object> {
  /*
   * Leaving K and V as upper bounds rather than the actual key and value types allows type

 *
 * @author Louis Wasserman
 * @param <K0> An upper bound on the key type of the generated multimap.
 * @param <V0> An upper bound on the value type of the generated multimap.
 * @since 16.0
 */
@GwtCompatible
public abstract class MultimapBuilder<K0 extends @Nullable Object, V0 extends @Nullable Object> {
  /*
   * Leaving K and V as upper bounds rather than the actual key and value types allows type

            .add("in", "the", "quick", "jumped", "over", "a")
            .build();
    assertThat(set).containsExactly("a", "in", "the", "over", "quick", "jumped").inOrder();
  }

  public void testExplicit_ordering_dupes() {
    SortedSet<String> set =
        ImmutableSortedSet.orderedBy(STRING_LENGTH)
            .add("in", "the", "quick", "brown", "fox", "jumped", "over", "a", "lazy", "dog")
            .build();

    private int pad;
    private int pad1;
    private boolean parametersDone, dataDone;

    /** Total number of parameter bytes the server is returning */
    protected int totalParameterCount;
    /** Total number of data bytes the server is returning */
    protected int totalDataCount;
    /** Number of parameter bytes in this response */
    protected int parameterCount;

         */
        public ApiDeleteResponse() {
            // NOP
        }

        /**
         * The number of deleted items.
         */
        protected long count = 1;

        /**
         * Sets the count of deleted items.
         * @param count The number of deleted items.
         * @return The ApiDeleteResponse instance.
         */

    }
    // TODO(lowasser): benchmark when it's best to do a linear search

    int lower = 0;
    int upper = list.size() - 1;

    while (lower <= upper) {
      int middle = (lower + upper) >>> 1;
      int c = comparator.compare(key, list.get(middle));
      if (c < 0) {
        upper = middle - 1;
      } else if (c > 0) {
        lower = middle + 1;
      } else {
        return lower

   * bulkGet(keys)} with a relative large number of keys can cause an excessive number of shared
   * stripes (much like the birthday paradox, where much fewer than anticipated birthdays are needed
   * for a pair of them to match). Please consider carefully the implications of the number of
   * stripes, the intended concurrency level, and the typical number of keys used in a {@code

        -Math.log1p(-fractionOfBitsSet) * bitSize / numHashFunctions, RoundingMode.HALF_UP);
  }

  /** Returns the number of bits in the underlying bit array. */
  @VisibleForTesting
  long bitSize() {
    return bits.bitSize();
  }

  /**
   * Returns the number of bytes required to serialize this bloom filter using the {@link

    }
    // TODO(lowasser): benchmark when it's best to do a linear search

    int lower = 0;
    int upper = list.size() - 1;

    while (lower <= upper) {
      int middle = (lower + upper) >>> 1;
      int c = comparator.compare(key, list.get(middle));
      if (c < 0) {
        upper = middle - 1;
      } else if (c > 0) {
        lower = middle + 1;
      } else {
        return lower