This includes, for example:

* Email notifications sent after performing an action:
    * As connecting to an email server and sending an email tends to be "slow" (several seconds), you can return the response right away and send the email notification in the background.
* Processing data:

    //    were added to the queue. It's easily possible for one thread to take the head of the
    //    queue, immediately followed by another thread taking the next element in the queue. That
    //    second thread can then dispatch to the subscriber it took before the first thread does.
    //
    // All this makes me really wonder if there's any value in queueing here at all. A dispatcher

 *
 * Regular lines contain fields separated by semicolons.
 *
 * The first element on each line is a single hex code point (like 0041) or a hex code point range
 * (like 0030..0039).
 *
 * The second element on each line is a mapping type, like `valid` or `mapped`.
 *
 * For lines that contain a mapping target, the next thing is a sequence of hex code points (like
 * 0031 2044 0034).
 *
 * All other data is ignored.

                } finally {
                    latch.countDown();
                }
            });
        }

        assertTrue(latch.await(10, TimeUnit.SECONDS));
        executor.shutdown();
    }

    @Test
    @DisplayName("Test invalid session ID handling")
    public void testInvalidSessionIdHandling() {
        assertThrows(CIFSException.class, () -> {

    Serialization.writeMultiset(this, stream);
  }

  /**
   * @serialData the {@code Class<E>} for the enum type, the number of distinct elements, the first
   *     element, its count, the second element, its count, and so on
   */
  @GwtIncompatible // java.io.ObjectInputStream
  private void readObject(ObjectInputStream stream) throws IOException, ClassNotFoundException {
    stream.defaultReadObject();

            if (exitValue != 0) {
                final StringBuilder out = new StringBuilder();
                if (processTimeout) {
                    out.append("Process is terminated due to ").append(timeout).append(" second exceeded.\n");
                }
                out.append("Exit Code: ").append(exitValue).append("\nOutput:\n").append(it.getOutput());
                throw new JobProcessingException(out.toString());
            }

crawler.ignore.robots.tags=false
# Whether to ignore content exceptions during crawling.
crawler.ignore.content.exception=true
# HTTP status codes considered as failure URLs.
crawler.failure.url.status.codes=404
# Interval (seconds) for system monitor during crawling.
crawler.system.monitor.interval=60
# Whether to ignore idle threads in hot thread monitoring.
crawler.hotthread.ignore_idle_threads=true
# Interval for hot thread monitoring (e.g., 500ms).

      "ConnectionReleased",
      "CallEnd",
    )
  }

  @Test
  fun failedCallEventSequence() {
    server.enqueue(
      MockResponse
        .Builder()
        .headersDelay(2, TimeUnit.SECONDS)
        .build(),
    )
    client =
      client
        .newBuilder()
        .readTimeout(Duration.ofMillis(250))
        .build()
    val call =
      client.newCall(
        Request

        this.leaseKey = key;
        this.leaseState = leaseState;
        this.cacheScope = scope;
        this.maxCacheAge = 30000; // 30 seconds default
        this.notificationEnabled = true;
        this.notificationFilter = 0;
    }

    @Override
    public byte[] getName() {
        return CONTEXT_NAME_BYTES;
    }

    /**

    }

    /**
     * Calculate total throughput in MB/s based on total time
     *
     * @param totalTimeSeconds total elapsed time in seconds
     * @return throughput in MB/s
     */
    public double getThroughputMBps(double totalTimeSeconds) {
        if (totalTimeSeconds <= 0.0) {
            return 0.0;
        }