}

                if (emptyListCount >= maxEmptyListCount) {
                    if (logger.isInfoEnabled()) {
                        logger.info("Terminating indexUpdater. emptyListCount is over {}.", maxEmptyListCount);
                    }
                    // terminate crawling
                    finishCrawling = true;
                    forceStop();

    }

    override fun timeout(): Timeout = Timeout.NONE

    @Throws(IOException::class)
    override fun close() {
    }
  }

  /** Processes HTTP requests layered over HTTP/2. */
  private inner class Http2SocketHandler(
    private val connectionIndex: Int,
    private val socket: MockWebServerSocket,
    private val protocol: Protocol,
  ) : Http2Connection.Listener() {

Luego vas al mostrador 🔀, a la tarea inicial que ahora está terminada ⏯, recoges las hamburguesas, das las gracias y las llevas a la mesa. Eso termina ese paso / tarea de interacción con el mostrador ⏹. Eso a su vez, crea una nueva tarea, de "comer hamburguesas" 🔀 ⏯, pero la anterior de "obtener hamburguesas" ha terminado ⏹.

### Hamburguesas Paralelas { #parallel-burgers }

Ahora imaginemos que estas no son "Hamburguesas Concurrentes", sino "Hamburguesas Paralelas".

                            throw new MaxLengthExceededException("The content length (" + responseData.getContentLength()
                                    + " byte) is over " + maxLength + " byte. The url is " + uri);
                        }
                    }

                    responseData.setCharSet(getCharSet(tempFile));

        makeLocalCache(createCacheBuilder().concurrencyLevel(concurrencyLevel));
    assertThat(map.segments).hasLength(segmentCount);
  }

  public void testSetInitialCapacity() {
    // share capacity over each segment, then round up to the nearest power of two

    checkInitialCapacity(1, 0, 1);
    checkInitialCapacity(1, 1, 1);
    checkInitialCapacity(1, 2, 2);
    checkInitialCapacity(1, 3, 4);

        makeLocalCache(createCacheBuilder().concurrencyLevel(concurrencyLevel));
    assertThat(map.segments).hasLength(segmentCount);
  }

  public void testSetInitialCapacity() {
    // share capacity over each segment, then round up to the nearest power of two

    checkInitialCapacity(1, 0, 1);
    checkInitialCapacity(1, 1, 1);
    checkInitialCapacity(1, 2, 2);
    checkInitialCapacity(1, 3, 4);

SELECTOR_INDICATORS = '.carousel-indicators'\nconst SELECTOR_DATA_SLIDE = '[data-slide], [data-slide-to]'\nconst SELECTOR_DATA_RIDE = '[data-ride=\"carousel\"]'\n\nconst Default = {\n  interval: 5000,\n  keyboard: true,\n  slide: false,\n  pause: 'hover',\n  wrap: true,\n  touch: true\n}\n\nconst DefaultType = {\n  interval: '(number|boolean)',\n  keyboard: 'boolean',\n  slide: '(boolean|string)',\n  pause: '(string|boolean)',\n  wrap: 'boolean',\n  touch: 'boolean'\n}\n\nconst PointerType = {\n ...

  We call this license the "Lesser" General Public License because it
does Less to protect the user's freedom than the ordinary General
Public License.  It also provides other free software developers Less
of an advantage over competing non-free programs.  These disadvantages
are the reason we use the ordinary General Public License for many
libraries.  However, the Lesser license provides advantages in certain
special circumstances.

    - `apiserver_flowcontrol_demand_seats_high_watermark`: High watermark, over last adjustment period, of demand_seats
    - `apiserver_flowcontrol_demand_seats_average`: Time-weighted average, over last adjustment period, of demand_seats
    - `apiserver_flowcontrol_demand_seats_stdev`: Time-weighted standard deviation, over last adjustment period, of demand_seats

    ;

    abstract <T extends @Nullable Object> Scenario<?> mutate(Scenario<T> scenario);
  }

  /**
   * A dummy object we create so that we can have something meaningful to have a compound ordering
   * over.
   */
  private static class Composite<T extends @Nullable Object> implements Comparable<Composite<T>> {
    final T value;
    final int rank;

    Composite(T value, int rank) {