final byte[] addr = localInetAddress.getAddress();
            localHostname =
                    "JCIFS" + (addr[2] & 0xFF) + "_" + (addr[3] & 0xFF) + "_" + Hexdump.toHexString((int) (Math.random() * 0xFF), 2);
        }

        /* Create an NbtAddress for the local interface with
         * the name deduced above possibly with scope applied and
         * cache it forever.
         */

Another big feature needed by APIs is data validation, making sure that the data is valid, given certain parameters. For example, that some field is an `int`, and not some random string. This is especially useful for incoming data.

Without a data validation system, you would have to do all the checks by hand, in code.

    return new CompactHashMap<>(expectedSize);
  }

  private static final Object NOT_FOUND = new Object();

  /**
   * Maximum allowed false positive probability of detecting a hash flooding attack given random
   * input.
   */
  @VisibleForTesting(
      )
  static final double HASH_FLOODING_FPP = 0.001;

  /**
   * Maximum allowed length of a hash table bucket before falling back to a j.u.LinkedHashMap-based

  print("Connected with result code "+str(rc))
  # qos level is set to 1
  client.subscribe("minio", 1)

def on_message(client, userdata, msg):
    print(msg.payload)

# client_id is a randomly generated unique ID for the mqtt broker to identify the connection.
client = mqtt.Client(client_id="myclientid",clean_session=False)

client.on_connect = on_connect
client.on_message = on_message

 *
 * <p>The average time complexity of the computation is O(N) in the size of the dataset. There is a
 * worst case time complexity of O(N^2). You are extremely unlikely to hit this quadratic case on
 * randomly ordered data (the probability decreases faster than exponentially in N), but if you are
 * passing in unsanitized user data then a malicious user could force it. A light shuffle of the

	return partID > globalMaxPartID
}

// profilerWrapper is created because pkg/profiler doesn't
// provide any API to calculate the profiler file path in the
// disk since the name of this latter is randomly generated.
type profilerWrapper struct {
	// Profile recorded at start of benchmark.
	records map[string][]byte
	stopFn  func() ([]byte, error)
	ext     string
}

        totalSize++;
        if (wasEmpty) {
          addToMap();
        }
      }
    }
  }

  /**
   * List decorator that stays in sync with the multimap values for a key and supports rapid random
   * access.
   */
  private final class RandomAccessWrappedList extends WrappedList implements RandomAccess {
    RandomAccessWrappedList(

        .build()

    val webSocket =
      RealWebSocket(
        taskRunner = taskRunner,
        originalRequest = fancyRequest,
        listener = webSocketResponse.webSocketListener!!,
        random = SecureRandom(),
        pingIntervalMillis = 0,
        extensions = WebSocketExtensions.parse(webSocketResponse.headers),
        // Compress all messages if compression is enabled.
        minimumDeflateSize = 0L,

    return new CompactHashMap<>(expectedSize);
  }

  private static final Object NOT_FOUND = new Object();

  /**
   * Maximum allowed false positive probability of detecting a hash flooding attack given random
   * input.
   */
  @VisibleForTesting(
      )
  static final double HASH_FLOODING_FPP = 0.001;

  /**
   * Maximum allowed length of a hash table bucket before falling back to a j.u.LinkedHashMap-based

	// independently picks a (uniformly distributed) random time in an interval
	// of size = baseInterval.
	//
	// For example:
	//
	//    - if baseInterval=10s, then 5s <= waitInterval() < 15s
	//
	//    - if baseInterval=10m, then 5m <= waitInterval() < 15m
	waitInterval := func() time.Duration {
		// Calculate a random value such that 0 <= value < baseInterval