Auch wenn im obigen Code Pydantic nicht explizit vorkommt, verwendet FastAPI Pydantic, um diese Standard-Datenklassen in Pydantics eigene Variante von Datenklassen zu konvertieren.

Und natürlich wird das gleiche unterstützt:

* Datenvalidierung
* Datenserialisierung
* Datendokumentation, usw.

      on behalf of whom a Contribution has been received by Licensor and
      subsequently incorporated within the Work.

   2. Grant of Copyright License. Subject to the terms and conditions of
      this License, each Contributor hereby grants to You a perpetual,
      worldwide, non-exclusive, no-charge, royalty-free, irrevocable
      copyright license to reproduce, prepare Derivative Works of,

      if (interrupted) {
        Thread.currentThread().interrupt();
      }
    }
    return added;
  }

  /**
   * Returns a synchronized (thread-safe) queue backed by the specified queue. In order to guarantee
   * serial access, it is critical that <b>all</b> access to the backing queue is accomplished
   * through the returned queue.
   *

/// info | Informação

Observe que o `TestClient` recebe dados que podem ser convertidos para JSON, não para modelos Pydantic.

Se você tiver um modelo Pydantic em seu teste e quiser enviar seus dados para o aplicativo durante o teste, poderá usar o `jsonable_encoder` descrito em [Codificador compatível com JSON](encoder.md){.internal-link target=_blank}.

///

## Execute-o { #run-it }

Depois disso, você só precisa instalar o `pytest`.

    // that simply loops through the subscribers and dispatches the event to each would actually
    // probably provide a stronger order guarantee, though that order would obviously be different
    // in some cases.

    /** Global event queue. */
    private final ConcurrentLinkedQueue<EventWithSubscriber> queue = new ConcurrentLinkedQueue<>();

     *            the isExtended to set
     */
    public final void setExtended(final boolean isExtended) {
        this.isExtended = isExtended;
    }

    /**
     * Gets the oplock level granted.
     *
     * @return the oplockLevel
     */
    public final byte getOplockLevel() {
        return this.oplockLevel;
    }

    /**
     * Gets the file identifier.
     *
     * @return the fid

		}
	}

	return locked
}

const (
	lockRetryInterval = 50 * time.Millisecond
)

// lockLoop will acquire either a read or a write lock
//
// The call will block until the lock is granted using a built-in
// timing randomized back-off algorithm to try again until successful
func (lm *LRWMutex) lockLoop(ctx context.Context, id, source string, timeout time.Duration, isWriteLock bool) (locked bool) {

 *   <li>does not allow self-loops
 *   <li>orders {@link ValueGraph#nodes()} in the order in which the elements were added (insertion
 *       order)
 * </ul>
 *
 * <p>{@code ValueGraph}s built by this class also guarantee that each collection-returning accessor
 * returns a <b>(live) unmodifiable view</b>; see <a
 * href="https://github.com/google/guava/wiki/GraphsExplained#accessor-behavior">the external
 * documentation</a> for details.
 *

    when {
      PlatformVersion.majorVersion > 11 ->
        assertThat(s.enabledProtocols.toList()).containsExactly(
          "TLSv1.3",
          "TLSv1.2",
        )
      // Not much we can guarantee on JDK 11.
      PlatformVersion.majorVersion == 11 ->
        assertThat(s.enabledProtocols.toList()).contains(
          "TLSv1.2",
        )
      // JDK 8 291 removed older versions

 * this structure is never mutated, it provides a thread-safe view of the backing map.
 *
 * <p>The {@link MapIteratorCache} assumes ownership of the backing map, and cannot guarantee
 * correctness in the face of external mutations to the backing map. As such, it is <b>strongly</b>
 * recommended that the caller does not persist a reference to the backing map (unless the backing
 * map is immutable).
 *