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

        // Schedule periodic tasks
        schedulePeriodicTasks();
    }

    /**

    void writeParametersWireFormat_writesCorrectly(int fid, int securityInformation) {
        NtTransQuerySecurityDesc cmd = new NtTransQuerySecurityDesc(fid, securityInformation);
        byte[] dst = new byte[15]; // Increased buffer size to accommodate offset + 8 bytes
        int offset = 3; // start in the middle to ensure no tail is overwritten
        int bytesWritten = cmd.writeParametersWireFormat(dst, offset);

        }
        queryCommandMap.put(name, queryCommand);
    }

    /**
     * Adds a filter to the processing pipeline.
     * After adding a filter, the filter chain is recreated to include the new filter.
     *
     * @param filter the filter to add to the processing pipeline
     */
    public void addFilter(final Filter filter) {
        filterList.add(filter);

   * 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.
   *

  }

  /**
   * Stores a key-value pair in the multimap.
   *
   * @param key key to store in the multimap
   * @param value value to store in the multimap
   * @return {@code true} if the method increased the size of the multimap, or {@code false} if the
   *     multimap already contained the key-value pair
   */
  @CanIgnoreReturnValue
  @Override

   *   <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

  long size();

  /**
   * Returns a current snapshot of this cache's cumulative statistics, or a set of default values if
   * the cache is not recording statistics. All statistics begin at zero and never decrease over the
   * lifetime of the cache.
   *
   * <p><b>Warning:</b> this cache may not be recording statistical data. For example, a cache

            }
        } catch (Exception e) {
            log.error("Failed to perform emergency file handle cleanup", e);
        }
    }

    /**
     * @return a file handle with increased usage count
     */
    public SmbFileHandleImpl acquire() {
        final long usage = this.usageCount.incrementAndGet();
        if (log.isTraceEnabled()) {

     * {@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;
    }

   * plus the given elements, according to {@link #expectContents(java.util.Collection)}. In other
   * words, for the default {@code expectContents()} implementation, the number of occurrences of
   * each given element has increased by one since the test collection was created, and the number
   * of occurrences of all other elements has not changed.
   *
   * <p>Note: This means that a test like the following will fail if {@code collection} is a {@code