splitrsBuilder.add(splitr);
      characteristics &= splitr.characteristics();
      estimatedSize = LongMath.saturatedAdd(estimatedSize, splitr.estimateSize());
    }
    return StreamSupport.stream(
            CollectSpliterators.flatMap(
                splitrsBuilder.build().spliterator(),
                splitr -> (Spliterator<T>) splitr,
                characteristics,
                estimatedSize),

    abstract boolean tryAdvance(Consumer<? super E> action);

    abstract @Nullable GeneralSpliterator<E> trySplit();

    final int characteristics() {
      return spliterator.characteristics();
    }

    final long estimateSize() {
      return spliterator.estimateSize();
    }

    final Comparator<? super E> getComparator() {
      return spliterator.getComparator();

    abstract boolean tryAdvance(Consumer<? super E> action);

    abstract @Nullable GeneralSpliterator<E> trySplit();

    final int characteristics() {
      return spliterator.characteristics();
    }

    final long estimateSize() {
      return spliterator.estimateSize();
    }

    final Comparator<? super E> getComparator() {
      return spliterator.getComparator();

    return Collector.of(
        EnumSetAccumulator::new,
        EnumSetAccumulator::add,
        EnumSetAccumulator::combine,
        EnumSetAccumulator::toImmutableSet,
        Collector.Characteristics.UNORDERED);
  }

  @IgnoreJRERequirement // see enclosing class (whose annotation Animal Sniffer ignores here...)
  private static final class EnumSetAccumulator<E extends Enum<E>> {

    return Collector.of(
        EnumSetAccumulator::new,
        EnumSetAccumulator::add,
        EnumSetAccumulator::combine,
        EnumSetAccumulator::toImmutableSet,
        Collector.Characteristics.UNORDERED);
  }

  private static final class EnumSetAccumulator<E extends Enum<E>> {
    @SuppressWarnings({"rawtypes", "unchecked"})

      }
    }
  }

  /**
   * Test for 2-bit characteristics. A characteristic is a delta in the input which is repeated in
   * the output. For example, if f() is a block cipher and c is a characteristic, then f(x^c) =
   * f(x)^c with greater than expected probability. The test for funneling is merely a test for
   * 1-bit characteristics.
   *

    return Collector.of(
        () -> TopKSelector.<T>least(k, comparator),
        TopKSelector::offer,
        TopKSelector::combine,
        TopKSelector::topK,
        Collector.Characteristics.UNORDERED);
  }

  /**
   * Returns a {@code Collector} that returns the {@code k} greatest (relative to the specified

 * map that behaves similarly to a {@link ConcurrentHashMap}.
 *
 * <p>The returned map is implemented as a hash table with similar performance characteristics to
 * {@link ConcurrentHashMap}. It supports all optional operations of the {@code ConcurrentMap}
 * interface. It does not permit null keys or values.
 *

        BloomFilter::put,
        (bf1, bf2) -> {
          bf1.putAll(bf2);
          return bf1;
        },
        Collector.Characteristics.UNORDERED,
        Collector.Characteristics.CONCURRENT);
  }

  /**
   * Creates a {@link BloomFilter} with the expected number of insertions and expected false
   * positive probability.
   *

        StatsAccumulator::new,
        (a, x) -> a.add(x.doubleValue()),
        (l, r) -> {
          l.addAll(r);
          return l;
        },
        StatsAccumulator::snapshot,
        Collector.Characteristics.UNORDERED);
  }

  /** Returns the number of values. */
  public long count() {
    return count;
  }

  /**