}

  public void testAddAllPrimitiveIntStream() {
    StatsAccumulator accumulator = new StatsAccumulator();
    accumulator.addAll(megaPrimitiveDoubleStreamPart1().mapToInt(x -> (int) x));
    accumulator.addAll(megaPrimitiveDoubleStreamPart2().mapToInt(x -> (int) x));
    assertThat(accumulator.count()).isEqualTo(MEGA_STREAM_COUNT);
    assertThat(accumulator.mean()).isWithin(ALLOWED_ERROR * MEGA_STREAM_COUNT).of(MEGA_STREAM_MEAN);

     *
     * @return channel statistics
     */
    public ChannelStatistics getStatistics() {
        return new ChannelStatistics(sessionChannels.size(),
                sessionChannels.values().stream().mapToInt(ChannelGroup::getChannelCount).sum(), totalRequests.get(),
                totalChannelsCreated.get());
    }

    /**
     * Channel statistics.
     */
    public static class ChannelStatistics {

 *   <li>Can be queried without allocating garbage.
 *   <li>Access to {@code IntStream} features (like {@link IntStream#sum}) using {@code stream()}
 *       instead of the awkward {@code stream().mapToInt(v -> v)}.
 * </ul>
 *
 * <p>Disadvantages compared to {@code ImmutableList<Integer>}:
 *
 * <ul>
 *   <li>Can't be passed directly to methods that expect {@code Iterable}, {@code Collection}, or

            .orElseThrow();
    }
    
    private ChannelInfo selectWeightedRandom(Collection<ChannelInfo> channels) {
        // Calculate total weight
        int totalWeight = channels.stream()
            .mapToInt(ChannelInfo::getScore)
            .sum();
        
        if (totalWeight == 0) {
            // All channels have zero score, pick randomly
            List<ChannelInfo> list = new ArrayList<>(channels);