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;

    ExecutorService executor = newSingleThreadExecutor();
    Future<V> waiter =
        executor.submit(
            new Callable<V>() {
              @Override
              public V call() throws Exception {
                return input.get();
              }
            });

    try {
      return getUninterruptibly(waiter, timeout, unit);
    } catch (ExecutionException e) {

    ExecutorService executor = newSingleThreadExecutor();
    Future<V> waiter =
        executor.submit(
            new Callable<V>() {
              @Override
              public V call() throws Exception {
                return input.get();
              }
            });

    try {
      return getUninterruptibly(waiter, timeout, unit);
    } catch (ExecutionException e) {

   * or its views, only mappings whose keys satisfy the filter will be removed from the underlying
   * map.
   *
   * <p>The returned map isn't threadsafe or serializable, even if {@code unfiltered} is.
   *
   * <p>Many of the filtered map's methods, such as {@code size()}, iterate across every key/value
   * mapping in the underlying map and determine which satisfy the filter. When a live view is

  /** Weigher to weigh cache entries. */
  final Weigher<K, V> weigher;

  /** How long after the last access to an entry the map will retain that entry. */
  final long expireAfterAccessNanos;

  /** How long after the last write to an entry the map will retain that entry. */
  final long expireAfterWriteNanos;

  /** How long after the last write an entry becomes a candidate for refresh. */
  final long refreshNanos;