* gets injected by the Plexus container after the mojo has been constructed. Therefore, simply call this
     * method directly whenever you need the logger, it is fast enough and needs no caching.
     *
     * @see org.apache.maven.plugin.Mojo#getLog()
     * @deprecated Use SLF4J directly
     */
    @Deprecated
    @Override
    public Log getLog() {
        if (log == null) {

```java
/** Dangerous interceptor that rewrites the server's cache-control header. */
private static final Interceptor REWRITE_CACHE_CONTROL_INTERCEPTOR = new Interceptor() {

///

/// tip

If you are wondering, "AlexNet", "ResNet", and "LeNet" are just names of Machine Learning <abbr title="Technically, Deep Learning model architectures">models</abbr>.

///

### Declare a *path parameter*

///

/// tip | Consejo

Si lo estás dudando, "AlexNet", "ResNet", y "LeNet" son solo nombres de <abbr title="Técnicamente, arquitecturas de modelos de Deep Learning">modelos</abbr> de Machine Learning.

///

### Declara un *parámetro de path*

Luego, crea un *parámetro de path* con anotaciones de tipos usando la clase enum que creaste (`ModelName`):

```Python hl_lines="16"

```hl_lines="4"
INFO:     Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit)
```

Cette ligne montre l'URL par laquelle l'app est actuellement accessible, sur votre machine locale.

### Allez voir le résultat

Ouvrez votre navigateur à l'adresse <a href="http://127.0.0.1:8000" class="external-link" target="_blank">http://127.0.0.1:8000</a>.

Vous obtiendrez cette réponse JSON :

				// there is something in the log queue
				// process it first, even if we tickered
				// first, or we have not received any events
				// yet, still wait on it.
				continue
			}

			// If we are doing batching, we should wait
			// at least for a second, before sending.
			// Even if there is nothing in the queue.
			if h.batchSize > 1 && time.Since(lastBatchProcess) < time.Second {
				continue
			}
		}

#   public URL to share your build results with collaborators. However,
#   it is only available to a limited set of internal TensorFlow developers.
#
#   RBE is incompatible with local caching, so you must remove
#   disk_cache, public_cache, and public_cache_push from your $TFCI file.
#
# To use RBE, you must first run `gcloud auth application-default login`, then:
export TFCI=py311,linux_x86,rbe

   *
   * <ul>
   *   <li>{@linkplain LoadingCache#get(Object) awaiting the result of a pending load} rather than
   *       starting a redundant one
   *   <li>eliminating the error-prone caching boilerplate
   *   <li>tracking load {@linkplain #stats statistics}
   * </ul>
   *
   * <p>Among the further improvements that {@code LoadingCache} can provide but this method cannot:
   *
   * <ul>

            options.addOption(Option.builder(CACHE_ARTIFACT_NOT_FOUND)
                    .longOpt("cache-artifact-not-found")
                    .hasArg()
                    .desc(
                            "Defines caching behaviour for 'not found' artifacts. Supported values are 'true' (default), 'false'.")
                    .build());
            options.addOption(Option.builder(STRICT_ARTIFACT_DESCRIPTOR_POLICY)

///

/// tip | "Dica"



///

	Se você está se perguntando, "AlexNet", "ResNet", e "LeNet" são apenas nomes de <abbr title="técnicamente, modelos de arquitetura de Deep Learning">modelos</abbr> de Machine Learning (aprendizado de máquina).

### Declare um *parâmetro de rota*

Logo, crie um *parâmetro de rota* com anotações de tipo usando a classe enum que você criou (`ModelName`):

```Python hl_lines="16"