assertThat(reader.nextPart()).isNull()
  }

  /**
   * Read 100 MiB of 'a' chars. This was really slow due to a performance bug in [MultipartReader],
   * and will be really slow if we regress the fix for that.
   */
  @Test
  fun `reading a large part with small byteCount`() {
    val multipartBody =
      MultipartBody
        .Builder("foo")
        .addPart(

          "intervalFactor": 1,
          "legendFormat": "",
          "metric": "process_start_time_seconds",
          "refId": "A",
          "step": 60
        }
      ],
      "title": "Total S3 Egress",
      "type": "stat"
    },
    {
      "datasource": {
        "type": "prometheus",
        "uid": "${DS_PROMETHEUS}"
      },
      "description": "",
      "fieldConfig": {

    prediction-flavored outputs, in addition to the classification-flavored one.
    Building signatures from these allows TF Serving to honor requests using the
    different APIs (Classify, Regress, and Predict). Furthermore,
    `serving_input_receiver_fn()` may now specify alternative subsets of nodes
    that may act as inputs. This allows, for instance, producing a prediction

        assertTrue(user.refresh());
        assertEquals(1, user.getRefreshCount());

        // Test multiple refreshes
        user.refresh();
        user.refresh();
        assertEquals(3, user.getRefreshCount());

        // Test custom implementation that returns false
        user = new TestRefreshableFessUser("testuser", false);
        assertFalse(user.refresh());

      }
    }.start();
    new Thread() {
      @Override
      public void run() {
        cache.refresh(refreshKey);
        getFinishedSignal.countDown();
      }
    }.start();

    getStartedSignal.await();

    // computation is in progress; asMap shouldn't have changed
    assertEquals(1, map.size());
    assertFalse(map.containsKey(getKey));

)

type arnTarget struct {
	Client      *TargetClient
	lastRefresh time.Time
}

// arnErrs represents number of errors seen for a ARN and if update is in progress
// to refresh remote targets from bucket metadata.
type arnErrs struct {
	count            int64
	updateInProgress bool
	bucket           string
}

// BucketTargetSys represents bucket targets subsystem

En lugar de eso, al ser un sistema "asíncrono", una vez terminado, la tarea puede esperar un poco en la cola (algunos microsegundos) para que la computadora / programa termine lo que salió a hacer, y luego regrese para tomar los resultados y continuar trabajando con ellos.

        runner.refresh();
        suggester = Suggester.builder().build(runner.client(), "SuggesterTest");
        suggester.createIndexIfNothing();
    }

    @Test
    public void test_indexAndSuggest() throws Exception {
        SuggestItem[] items = getItemSet1();
        suggester.indexer().index(items);
        suggester.refresh();

        // Refresh should clear the cache
        auth.refresh();
        Subject afterRefresh = auth.getSubject();
        // After refresh, may succeed or fail depending on JAAS configuration
        // Just verify that refresh doesn't break the authenticator
        assertNotNull(auth, "Authenticator should remain usable after refresh");
    }

    @Test

     * @param {number} options.progressLength - Number of characters displayed as progress bar.
     * @param {string} options.progressChar – Character to use for progress bar, defaults to █.
	 * @param {number} options.progressPercent - Max percent of progress.
     * @param {string} options.cursor – Character to use for cursor, defaults to ▋.