URL url = new URL("gcs://mybucket/object.txt");
        Handler handler = new Handler();
        Handler.GcsURLConnection conn = (Handler.GcsURLConnection) handler.openConnection(url);

        // Ensure environment variables are not set (in real scenario)
        // In this test, we expect IOException when project ID is blank
        try {
            conn.connect();

	if !dm.GetLock(t.Context(), nil, id, source, Options{Timeout: 5 * time.Minute}) {
		t.Fatal("GetLock() should be successful")
	}

	// Add delay to lock server responses to ensure that lock does not timeout
	for i := range lockServers {
		lockServers[i].setResponseDelay(5 * testDrwMutexUnlockCallTimeout)
		defer lockServers[i].setResponseDelay(0)
	}

	unlockReturned := make(chan struct{}, 1)

	config.Net.TLS.Config.InsecureSkipVerify = args.TLS.SkipVerify
	config.Net.TLS.Config.ClientAuth = args.TLS.ClientAuth
	config.Net.TLS.Config.RootCAs = args.TLS.RootCAs

	// These settings are needed to ensure that kafka client doesn't hang on brokers
	// refer https://github.com/IBM/sarama/issues/765#issuecomment-254333355
	config.Producer.Retry.Max = 2
	config.Producer.Retry.Backoff = (1 * time.Second)

        // Utility class - no instances allowed
    }

    /**
     * Determines if the given address string represents an IPv6 address.
     * This method validates the address using InetAddress to ensure it's a valid IPv6 address.
     *
     * @param address the IP address string to check
     * @return true if the address is a valid IPv6 address, false otherwise
     */

 *   <li>Events for the different listeners are dispatched concurrently.
 *   <li>All events for a given listener dispatch on the provided executor.
 *   <li>It is easy for the user to ensure that listeners are never invoked while holding locks.
 * </ul>
 *
 * The last point is subtle. Often the observable object will be managing its own internal state

          if ((hash1 & (1 << k)) == (hash2 & (1 << k))) {
            same[k] += 1;
          } else {
            diff[k] += 1;
          }
        }
      }
      // measure probability and assert it's within margin of error
      for (int j = 0; j < hashBits; j++) {
        double prob = (double) diff[j] / (double) (diff[j] + same[j]);
        assertThat(prob).isWithin(epsilon).of(0.50d);

    /**
     * Timestamp of the last time data store names were loaded from plugin files.
     * Used to implement a time-based cache refresh mechanism.
     * Volatile to ensure visibility across threads.
     */
    protected volatile long lastLoadedTime = 0;

    /**
     * Creates a new instance of DataStoreFactory.

        Field opCodeField = NameServicePacket.class.getDeclaredField("opCode");
        opCodeField.setAccessible(true);
        opCodeField.set(nameQueryResponse, 7); // WACK opCode, which is not QUERY (0)

        // Ensure 'resultCode' is 0 for this test to isolate opCode condition
        Field resultCodeField = NameServicePacket.class.getDeclaredField("resultCode");
        resultCodeField.setAccessible(true);

	sconfig.Net.TLS.Config.InsecureSkipVerify = h.kconfig.TLS.SkipVerify
	sconfig.Net.TLS.Config.ClientAuth = h.kconfig.TLS.ClientAuth
	sconfig.Net.TLS.Config.RootCAs = h.kconfig.TLS.RootCAs

	// These settings are needed to ensure that kafka client doesn't hang on brokers
	// refer https://github.com/IBM/sarama/issues/765#issuecomment-254333355
	sconfig.Producer.Retry.Max = 2
	sconfig.Producer.Retry.Backoff = (10 * time.Second)

It also re-declares `id: int`. By doing this, we are making a **contract** with the API clients, so that they can always expect the `id` to be there and to be an `int` (it will never be `None`).

/// tip

Having the return model ensure that a value is always available and always `int` (not `None`) is very useful for the API clients, they can write much simpler code having this certainty.