Then you go to the counter 🔀, to the initial task that is now finished ⏯, pick the burgers, say thanks and take them to the table. That finishes that step / task of interaction with the counter ⏹. That in turn, creates a new task, of "eating burgers" 🔀 ⏯, but the previous one of "getting burgers" is finished ⏹.

### Parallel Burgers { #parallel-burgers }

 * a {@code Map<R, Map<C, V>>}. A method call like {@code column(columnKey).get(rowKey)} still runs
 * quickly, since the row key is provided. However, {@code column(columnKey).size()} takes longer,
 * since an iteration across all row keys occurs.
 *
 * <p>Note that this implementation is not synchronized. If multiple threads access this table
 * concurrently and one of the threads modifies the table, it must be synchronized externally.
 *

Je n'ai jamais pu l'utiliser dans un projet complet, car il n'avait pas d'intégration de sécurité, et je ne pouvais donc pas remplacer toutes les fonctionnalités que j'avais avec les générateurs complets basés sur Flask-apispec. J'avais dans mon backlog de projets de créer une pull request pour ajouter cette fonctionnalité.

    assertIntact(q);
    q.remove(9);
    q.remove(11);
    q.remove(10);
    // Now we're in the critical state: [1, 15, 13, 8, 14]
    // Removing 8 while iterating caused duplicates in iteration result.
    List<Integer> result = Lists.newArrayListWithCapacity(initial.size());
    for (Iterator<Integer> iter = q.iterator(); iter.hasNext(); ) {
      Integer value = iter.next();
      result.add(value);

            byte[] nonce = encryptionContext.generateNonce();
            String nonceHex = bytesToHex(nonce);
            boolean added = nonceSet.add(nonceHex);
            assertTrue(added, "Nonce collision detected at iteration " + i);
        }

        // Then
        assertEquals(count, nonceSet.size(), "All generated nonces should be unique");
    }

    @Test

Es wäre tatsächlich üblich, Requests *innerhalb* einer FastAPI-Anwendung zu verwenden.

Dennoch erhielt FastAPI von Requests einiges an Inspiration.

**Requests** ist eine Bibliothek zur *Interaktion* mit APIs (als Client), während **FastAPI** eine Bibliothek zum *Erstellen* von APIs (als Server) ist.

Die beiden stehen mehr oder weniger an entgegengesetzten Enden und ergänzen sich.

type OpenIDClientAppParams struct {
	ClientID, ClientSecret, ProviderURL, RedirectURL string
}

// MockOpenIDTestUserInteraction - tries to login to dex using provided credentials.
// It performs the user's browser interaction to login and retrieves the auth
// code from dex and exchanges it for a JWT.
func MockOpenIDTestUserInteraction(ctx context.Context, pro OpenIDClientAppParams, username, password string) (string, error) {

/// tip | Tipp

Traefik verfügt über Integrationen mit Docker, Kubernetes und anderen, sodass Sie damit ganz einfach HTTPS für Ihre Container einrichten und konfigurieren können.

///

* ✅ Simplify tests for additional_status_codes. PR [#13149](https://github.com/fastapi/fastapi/pull/13149) by [@tiangolo](https://github.com/tiangolo).

### Docs

* ✏️ Update Strawberry integration docs. PR [#13155](https://github.com/fastapi/fastapi/pull/13155) by [@kinuax](https://github.com/kinuax).

			if err := f(); err != nil {
				g.errs[index].Err = err

				if contextCanceled(ctx) {
					// context already canceled no retries.
					retryCount = 0
				}

				// Last iteration log the error.
				if i == retryCount-1 {
					reqInfo := (&logger.ReqInfo{}).AppendTags("peerAddress", addr.String())
					ctx := logger.SetReqInfo(ctx, reqInfo)
					peersLogOnceIf(ctx, err, addr.String())
				}