* **Moins de bugs** : Réduit d'environ 40 % les erreurs induites par le développeur. *
* **Intuitif** : Excellente compatibilité avec les IDE. <abbr title="également connu sous le nom d'auto-complétion, autocomplétion, IntelliSense">Complétion</abbr> complète. Moins de temps passé à déboguer.
* **Facile** : Conçu pour être facile à utiliser et à apprendre. Moins de temps passé à lire la documentation.

- Fixed bug which caused the status of Indexed Jobs to only be updated when there are newly completed indexes. The completed indexes are now updated if the .status.completedIndexes has values outside of the [0, .spec.completions> range ([#115460](https://github.com/kubernetes/kubernetes/pull/115460), [@danielvegamyhre](https://github.com/danielvegamyhre)) [SIG Apps]

 *
 * Task threads release their execution privilege in these ways:
 *
 *  * By yielding in [TaskRunner.Backend.coordinatorWait].
 *  * By yielding in [BlockingQueue.poll].
 *  * By completing.
 */
class TaskFaker : Closeable {
  val logger = Logger.getLogger("TaskFaker." + instance++)

  /** Though this executor service may hold many threads, they are not executed concurrently. */

     * @param notifyFlags
     *            the notifyFlags to set
     */
    public void setNotifyFlags(final int notifyFlags) {
        this.notifyFlags = notifyFlags;
    }

    /**
     * Set the completion filter specifying which changes to monitor
     *
     * @param completionFilter
     *            the completionFilter to set
     */
    public void setCompletionFilter(final int completionFilter) {

{* ../../docs_src/security/tutorial002_an_py310.py hl[31] *}

Notice that we declare the type of `current_user` as the Pydantic model `User`.

This will help us inside of the function with all the completion and type checks.

/// tip

You might remember that request bodies are also declared with Pydantic models.

Here **FastAPI** won't get confused because you are using `Depends`.

///

/// check

                    doneLatch.countDown();
                }
            });
        }

        // Start all threads at once
        startLatch.countDown();

        // Wait for completion
        assertTrue(doneLatch.await(5, TimeUnit.SECONDS), "Threads did not complete in time");
        executor.shutdown();

        // Verify hash is not null
        byte[] hash = transport.getPreauthIntegrityHash();

Ainsi, j'ai pu trouver les meilleurs moyens de réduire autant que possible la duplication du code, d'avoir la complétion partout, les contrôles de type et d'erreur, etc.

Le tout de manière à offrir la meilleure expérience de développement à tous les développeurs.

## Exigences

MinIO batch jobs framework also provides

- Retrying a failed job automatically driven by user input
- Monitoring job progress in real-time
- Send notifications upon completion or failure to user configured target

Following YAML describes the structure of a replication job, each value is documented and self-describing.

```yaml
replicate:
  apiVersion: v1

Then, you try with the old programmer's friend, editor autocompletion.

You type the first parameter of the function, `first_name`, then a dot (`.`) and then hit `Ctrl+Space` to trigger the completion.

But, sadly, you get nothing useful:

<img src="/img/python-types/image01.png">

### Add types { #add-types }

Let's modify a single line from the previous version.

            holdLatch.countDown();
            completeLatch.await();
            longRunningThread.join();

            assertEquals(0, cbWithTracking.getActiveRequests(), "Active requests should be 0 after completion");

        } finally {
            cbWithTracking.close();
        }
    }

    @Test
    public void testRollingWindowMetrics() throws Exception {