* callbacks. Its subclasses must manage threads manually; consider {@link
 * AbstractExecutionThreadService} if you need only a single execution thread.
 *
 * @author Jesse Wilson
 * @author Luke Sandberg
 * @since 1.0
 */
@GwtIncompatible
@J2ktIncompatible
public abstract class AbstractService implements Service {
  private static final ListenerCallQueue.Event<Listener> STARTING_EVENT =

              }

              println("Authenticating for response: $response")
              println("Challenges: ${response.challenges()}")
              val credential = Credentials.basic("jesse", "password1")
              return response.request.newBuilder()
                  .header("Authorization", credential)
                  .build()
            }
          })
          .build()

## Prerequisites

To get started with MinIO, refer [MinIO QuickStart Document](https://docs.min.io/community/minio-object-store/operations/deployments/baremetal-deploy-minio-on-redhat-linux.html).
Follow below steps to get started with MinIO monitoring using Prometheus.

### 1. Download Prometheus

[Download the latest release](https://prometheus.io/download) of Prometheus for your platform, then extract it

```sh

  workflow_dispatch:

permissions:
  contents: read

jobs:
  rbe:
    name: Update RBE Configs
    runs-on: ubuntu-latest
    if: github.repository == 'tensorflow/tensorflow' # Don't do this in forks
    steps:
    - name: Checkout code
      uses: actions/checkout@08c6903cd8c0fde910a37f88322edcfb5dd907a8 # v5.0.0
    - name: Update the RBE Configs
      run: |
        function map() {

Und dennoch möchten Sie wahrscheinlich nicht, dass die Anwendung tot bleibt, weil an einer Stelle ein Fehler aufgetreten ist. Sie möchten wahrscheinlich, dass sie zumindest für die *Pfadoperationen*, die nicht fehlerhaft sind, **weiterläuft**.

### Neustart nach Absturz

    list.set(0, 4.0);
    assertThat(newArray).isEqualTo(new double[] {0.0, 1.0, 2.0});
    newArray[1] = 5.0;
    assertThat((double) list.get(1)).isEqualTo(1.0);
  }

  // This test stems from a real bug found by andrewk
  public void testAsList_subList_toArray_roundTrip() {
    double[] array = {0.0, 1.0, 2.0, 3.0};
    List<Double> list = Doubles.asList(array);

 * elements, including {@code null}, are permitted.
 *
 * <p>{@code contains(x)}, {@code add(x)} and {@code remove(x)}, are all (expected and amortized)
 * constant time operations. Expected in the hashtable sense (depends on the hash function doing a
 * good job of distributing the elements to the buckets to a distribution not far from uniform), and
 * amortized since some operations can trigger a hash table resize.
 *

<img src="/img/tutorial/body/image04.png">

Ce n'est pas un hasard, ce framework entier a été bâti avec ce design comme objectif.

Et cela a été rigoureusement testé durant la phase de design, avant toute implémentation, pour s'assurer que cela fonctionnerait avec tous les éditeurs.

Des changements sur Pydantic ont même été faits pour supporter cela.

* Generate <a href="https://json-schema.org" class="external-link" target="_blank">JSON Schema</a> definitions for your model, you can also use them anywhere else you like if it makes sense for your project.
* Those schemas will be part of the generated OpenAPI schema, and used by the automatic documentation <abbr title="User Interfaces">UIs</abbr>.

## Automatic docs { #automatic-docs }

   * test makes a single call with two duplex requests!
   */
  @Test
  fun duplexWithAuthChallenge() {
    enableProtocol(Protocol.HTTP_2)
    val credential = basic("jesse", "secret")
    client =
      client
        .newBuilder()
        .authenticator(RecordingOkAuthenticator(credential, null))
        .build()
    val body1 =
      MockSocketHandler()