@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();
    }

    /**

   * underutilization. If, on the other hand, we pick a function that goes /above/ that horizontal
   * line, then it means that the area (time) is increased, thus storedPermits are more costly than
   * fresh permits, thus the RateLimiter becomes /slower/ after a period of underutilization.
   *

   *   <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;
    }

    public void setDefaultOperator(final Operator defaultOperator) {
        this.defaultOperator = defaultOperator;
    }

    /**
     * Adds a filter to the query processing chain.
     * The filter chain is recreated after adding the filter.
     *
     * @param filter the filter to add
     */
    public void addFilter(final Filter filter) {
        filterList.add(filter);
        createFilterChain();
    }

 *
 * <p>This class should not be assumed to be universally superior to {@code
 * java.util.LinkedHashMap}. Generally speaking, this class reduces object allocation and memory
 * consumption at the price of moderately increased constant factors of CPU. Only use this class
 * when there is a specific reason to prioritize memory over CPU.
 *
 * @author Louis Wasserman
 */
@J2ktIncompatible // no support for access-order mode in LinkedHashMap delegate