/*
     * We don't "need" to schedule a thread completion at all here, but by doing
     * so, we come the closest we can to testing that the wait time is
     * appropriately decreased on each progressive join() call.
     */
    TimedThread thread = TimedThread.createWithDelay(LONG_DELAY_MS);
    repeatedlyInterruptTestThread(20, tearDownStack);
    thread.joinUnsuccessfully(70);

        int originalSize = stopwordsFile.stopwordsItemList.size();
        StopwordsItem item = stopwordsFile.get(1).get();
        stopwordsFile.delete(item);

        // Verify the item count decreased
        // Note: get(1) may still return an item if IDs are reassigned
        assertTrue(stopwordsFile.stopwordsItemList.size() < originalSize);
    }

    // Test reload with InputStream

  @CollectionFeature.Require(absent = SUPPORTS_ADD)
  public void testSetCount_oneToThree_unsupported() {
    assertSetCountIncreasingFailure(e3(), 3);
  }

  // Unconditional setCount size decreases:

  @CollectionSize.Require(absent = ZERO)
  @CollectionFeature.Require(SUPPORTS_REMOVE)
  public void testSetCount_oneToZero_supported() {
    assertSetCount(e0(), 0);
  }

  @CollectionFeature.Require(absent = SUPPORTS_ADD)
  public void testSetCount_oneToThree_unsupported() {
    assertSetCountIncreasingFailure(e3(), 3);
  }

  // Unconditional setCount size decreases:

  @CollectionSize.Require(absent = ZERO)
  @CollectionFeature.Require(SUPPORTS_REMOVE)
  public void testSetCount_oneToZero_supported() {
    assertSetCount(e0(), 0);
  }

 * threads. By default, this ordering is not guaranteed. However, a queue constructed with fairness
 * set to {@code true} grants threads access in FIFO order. Fairness generally decreases throughput
 * but reduces variability and avoids starvation.
 *
 * <p>This class and its iterator implement all of the optional methods of the {@link
 * Collection} and {@link Iterator} interfaces.
 *
 * @author Doug Lea

						cFns[i]()
					}
					return nil, err
				}
			}

			decReader := io.LimitReader(s2Reader, decLength)
			if decLength > compReadAheadSize {
				rah, err := readahead.NewReaderSize(decReader, compReadAheadBuffers, compReadAheadBufSize)
				if err == nil {
					decReader = rah
					cFns = append([]func(){func() {
						rah.Close()
					}}, cFns...)
				}
			}

        this.listeners = new ConcurrentHashMap<>();
        this.asyncNotifyTasks = new ConcurrentHashMap<>();
        this.scheduler = Executors.newScheduledThreadPool(3); // Increased for async notifications
        this.rpcClient = rpcClient;

        // Schedule periodic tasks
        schedulePeriodicTasks();
    }

    /**

    val http2Connection = connectHttp2(peer, connection, 5)
    setPolicy(pool, address, AddressPolicy(5))
    assertThat(pool.connectionCount()).isEqualTo(1)

    // Decrease the connection's max so that another connection is needed
    updateMaxConcurrentStreams(http2Connection, 4)
    assertThat(pool.connectionCount()).isEqualTo(2)

   *   <li>When you reduce the number of buckets, you can accept that the most recently added
   *       buckets will be removed first. More concretely, if you are dividing traffic among tasks,
   *       you can decrease the number of tasks from 15 and 10, killing off the final 5 tasks, and
   *       {@code consistentHash} will handle it. If, however, you are dividing traffic among

     * {@inheritDoc}
     *
     * @see jcifs.SmbTreeHandle#close()
     */
    @Override
    public synchronized void close() {
        release();
    }

    /**
     * @return tree handle with increased usage count
     */
    public SmbTreeHandleImpl acquire() {
        if (this.usageCount.incrementAndGet() == 1) {
            this.treeConnection.acquire();
        }
        return this;
    }