TF_Tensor* tensor_shape = Int32Tensor({37, 1});
  TF_Operation* shape = Const(tensor_shape, func_graph.get(), s.get(), "shape");
  TF_Operation* random =
      RandomUniform(shape, TF_FLOAT, func_graph.get(), s.get());

  TF_Output outputs[] = {{random, 0}};
  *func = TF_GraphToFunction(func_graph.get(), name,
                             /*append_hash_to_fn_name=*/false, -1,

    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

        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(

 *
 * <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
}

        .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

  }

  private static <T extends @Nullable Object> boolean removeIfFromRandomAccessList(
      List<T> list, Predicate<? super T> predicate) {
    // Note: Not all random access lists support set(). Additionally, it's possible
    // for a list to reject setting an element, such as when the list does not permit
    // duplicate elements. For both of those cases,  we need to fall back to a slower

   * Returns a general-purpose, <b>temporary-use</b>, non-cryptographic hash function. The algorithm
   * the returned function implements is unspecified and subject to change without notice.
   *
   * <p><b>Warning:</b> a new random seed for these functions is chosen each time the {@code
   * Hashing} class is loaded. <b>Do not use this method</b> if hash codes may escape the current