}

    /**
     * Returns an array of available data store names discovered from plugin JAR files.
     * This method implements a time-based caching mechanism that refreshes the list
     * every 60 seconds to balance performance with up-to-date plugin discovery.
     *
     * @return array of data store names sorted alphabetically, never null
     */
    public String[] getDataStoreNames() {

					return nil, errors.New("invalid token")
				}

				return &credentials.WebIdentityToken{
					Token:  oauth2Token.Extra("id_token").(string),
					Expiry: int(oauth2Token.Expiry.Sub(time.Now().UTC()).Seconds()),
				}, nil
			}
		}

		sts, err := credentials.NewSTSWebIdentity(stsEndpoint, getWebTokenExpiry)
		if err != nil {
			log.Println(fmt.Errorf("Could not get STS credentials: %s", err))

    )

  fun connectionCount(): Int = connectionCount.get()

  fun shutdown() {
    serverSocket!!.close()
    executor.shutdown()
    if (!executor.awaitTermination(5, TimeUnit.SECONDS)) {
      throw IOException("Gave up waiting for executor to shut down")
    }
  }

  private fun service(from: Socket) {
    val name = "SocksProxy ${from.remoteSocketAddress}"
    threadName(name) {
      try {

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:

 *
 * 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.

    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());
            }

    //    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

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

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

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

      "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