}
    }
    throw new AssertionError();
  }

  /*
   * If n <= millerRabinBases[i][0], then testing n against bases millerRabinBases[i][1..] suffices
   * to prove its primality. Values from miller-rabin.appspot.com.
   *
   * NOTE: We could get slightly better bases that would be treated as unsigned, but benchmarks
   * showed negligible performance improvements.
   */

 * relevant methods below.
 *
 * <ul>
 *   <li>This class is serializable; {@code java.util.Optional} is not.
 *   <li>{@code java.util.Optional} has the additional methods {@code ifPresent}, {@code filter},
 *       {@code flatMap}, and {@code orElseThrow}.
 *   <li>{@code java.util} offers the primitive-specialized versions {@code OptionalInt}, {@code

  }

  private static final Predicate<Entry<Integer, String>> FILTER_GET_PREDICATE =
      new Predicate<Entry<Integer, String>>() {
        @Override
        public boolean apply(Entry<Integer, String> entry) {
          return !"badvalue".equals(entry.getValue()) && 55556 != entry.getKey();
        }
      };

  private static final Predicate<Entry<String, Integer>> FILTER_KEYSET_PREDICATE =
      new Predicate<Entry<String, Integer>>() {

    waiter.awaitWaiting();
    PollingThread poller = new PollingThread(future);
    poller.start();
    PollingThread poller2 = new PollingThread(future);
    poller2.start();
    PollingThread poller3 = new PollingThread(future);
    poller3.start();
    poller.awaitInLoop();
    poller2.awaitInLoop();
    poller3.awaitInLoop();

    // The waiter queue should be {poller x 3}->waiter1
    waiter.interrupt();

                // requireNonNull is safe because the first `size` elements have been filled in.
                requireNonNull(e1);
                requireNonNull(e2);
                return comparator.compare(e1.getKey(), e2.getKey());
              });
          // requireNonNull is safe because the first `size` elements have been filled in.
          Entry<K, V> firstEntry = requireNonNull(entryArray[0]);

   * the given class. If the object being tested is {@code null} this predicate evaluates to {@code
   * false}.
   *
   * <p>If you want to filter an {@code Iterable} to narrow its type, consider using {@link
   * com.google.common.collect.Iterables#filter(Iterable, Class)} in preference.
   *
   * <p><b>Warning:</b> contrary to the typical assumptions about predicates (as documented at

            .and(Equivalence.equals());
    ImmutableSetMultimap<Character, Character> empty = ImmutableSetMultimap.of();
    ImmutableSetMultimap<Character, Character> filled =
        ImmutableSetMultimap.<Character, Character>builder()
            .putAll('b', Arrays.asList('a', 'n', 'a', 'n', 'a'))
            .putAll('a', Arrays.asList('p', 'p', 'l', 'e'))

    return result;
  }

  boolean removeIf(BiPredicate<? super K, ? super V> filter) {
    checkNotNull(filter);
    boolean changed = false;
    for (K key : keySet()) {
      while (true) {
        V value = get(key);
        if (value == null || !filter.test(key, value)) {
          break;
        } else if (LocalCache.this.remove(key, value)) {
          changed = true;

  private final Comparator<? super T> comparator;

  /*
   * We are currently considering the elements in buffer in the range [0, bufferSize) as candidates
   * for the top k elements. Whenever the buffer is filled, we quickselect the top k elements to the
   * range [0, k) and ignore the remaining elements.
   */
  private final @Nullable T[] buffer;
  private int bufferSize;

  /**

        }
      }
      return false;
    }

    /**
     * If more than this many consecutive positions are filled in a table of the specified size,
     * report probable hash flooding. ({@link #hashFloodingDetected} may also report hash flooding
     * if fewer consecutive positions are filled; see that method for details.)
     */
    static int maxRunBeforeFallback(int tableSize) {