Pour finir vous allez au comptoir 🔀, vers la tâche initiale qui est désormais terminée ⏯, récupérez les burgers 🍔, remerciez le serveur et ramenez les burgers 🍔 à votre table. Ceci termine l'étape / la tâche d'interaction avec le comptoir ⏹. Ce qui ensuite, crée une nouvelle tâche de « manger les burgers » 🔀 ⏯, mais la précédente, « récupérer les burgers » est terminée ⏹.

### Burgers parallèles { #parallel-burgers }

            long duration = endTime - startTime;
            assertTrue(duration < 5000, "Concurrent verifies should complete within 5 seconds");
        }
    }

    @Nested
    @DisplayName("Integration Tests")
    class IntegrationTests {

        @Test
        @DisplayName("Should sign and verify round trip for SMB 2.0.2")
        void testSignAndVerifyRoundTripSmb202() throws GeneralSecurityException {

 * Thread2: acquire(LockB) --X acquire(LockA)
 * </pre>
 *
 * <p>Neither thread will progress because each is waiting for the other. In more complex
 * applications, cycles can arise from interactions among more than 2 locks:
 *
 * <pre>
 * Thread1: acquire(LockA) --X acquire(LockB)
 * Thread2: acquire(LockB) --X acquire(LockC)
 * ...
 * ThreadN: acquire(LockN) --X acquire(LockA)
 * </pre>
 *

It had a dependency injection system. It required pre-registration of components, as other tools discussed above. But still, it was a great feature.

I was never able to use it in a full project, as it didn't have security integration, so, I couldn't replace all the features I was having with the full-stack generators based on Flask-apispec. I had in my backlog of projects to create a pull request adding that functionality.

But then, the project's focus shifted.

* Bump up GLBC version from 0.9.0-beta to 0.9.1 ([#41037](https://github.com/kubernetes/kubernetes/pull/41037), [@bprashanth](https://github.com/bprashanth))
* azure: fix Azure Container Registry integration ([#40142](https://github.com/kubernetes/kubernetes/pull/40142), [@colemickens](https://github.com/colemickens))

    /** The session manager for managing chat sessions. */
    @Resource
    protected ChatSessionManager chatSessionManager;

    /** The LLM client manager for language model interactions. */
    @Resource
    protected LlmClientManager llmClientManager;

    /** The markdown renderer for converting markdown to safe HTML. */
    @Resource
    protected MarkdownRenderer markdownRenderer;

    /**

Sie werden etwas sehen wie:

```JSON
{"item_id": 5, "q": "somequery"}
```

## Interaktive API-Dokumentation { #interactive-api-docs }

Jetzt können Sie auf [http://192.168.99.100/docs](http://192.168.99.100/docs) oder [http://127.0.0.1/docs](http://127.0.0.1/docs) gehen (oder ähnlich, unter Verwendung Ihres Docker-Hosts).

  * <strong>New GUI</strong> (dashboard) allows you to get started quickly and enables the same
functionality found in the CLI as a more approachable and discoverable way of
interacting with the system. Note: the GUI is enabled by default in 1.2 clusters.

resources such as secrets, a mechanism to store resource encryption keys in external Key Management Systems (KMS) was introduced. This complements the original file-based storage and allows integration with multiple KMS. A Google Cloud KMS plugin was added and will be usable once the Google side of the integration is complete.

* Websocket requests may now authenticate to the API server by passing a bearer token in a websocket subprotocol of the form `base64url.bearer.authorization.k8s....

        assertEquals("link text", client.testStripHtmlTags("<a href=\"http://example.com\" class=\"link\">link text</a>"));
    }

    // ========== detectIntent with history (integration-like) ==========

    @Test
    public void test_detectIntent_withHistory_usesStructuredMessages() {
        // Set up chat to return a valid JSON response