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(

import okhttp3.Request;
import okhttp3.Response;
import okhttp3.ResponseBody;
import okio.Buffer;
import okio.BufferedSource;
import okio.ForwardingSource;
import okio.Okio;
import okio.Source;

public final class Progress {

  public void run() throws Exception {
    Request request = new Request.Builder()
        .url("https://publicobject.com/helloworld.txt")
        .build();

          "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": {

**Affected Versions**:
  - kube-apiserver v1.25.0 - v1.25.3
  - kube-apiserver v1.24.0 - v1.24.7
  - kube-apiserver v1.23.0 - v1.23.13

   *
   * <ul>
   *   <li>consolidation of the loader logic to {@linkplain CacheBuilder#build(CacheLoader) a single
   *       authoritative location}
   *   <li>{@linkplain LoadingCache#refresh refreshing of entries}, including {@linkplain
   *       CacheBuilder#refreshAfterWrite automated refreshing}
   *   <li>{@linkplain LoadingCache#getAll bulk loading requests}, including {@linkplain

    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));

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.

)

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