public String getSimpleName() {
        return new File(path).getName();
    }

    /**
     * Updates the dictionary file with content from an input stream.
     *
     * @param in The input stream containing the new dictionary content.
     * @throws IOException if an I/O error occurs.
     */
    public synchronized void update(final InputStream in) throws IOException {

En tu cliente recibirás un response JSON como:

```JSON
{
  "model_name": "alexnet",
  "message": "Deep Learning FTW!"
}
```

## Parámetros de path conteniendo paths { #path-parameters-containing-paths }

Imaginemos que tienes una *path operation* con un path `/files/{file_path}`.

Pero necesitas que `file_path` en sí mismo contenga un *path*, como `home/johndoe/myfile.txt`.

* An optional query parameter `skip` that is an `int`, and by default is `0`.
* An optional query parameter `limit` that is an `int`, and by default is `100`.

And then it just returns a `dict` containing those values.

/// info

FastAPI added support for `Annotated` (and started recommending it) in version 0.95.0.

If you have an older version, you would get errors when trying to use `Annotated`.

        assertEquals("1", searchRenderData.getPageNumberList().get(0));
        assertEquals("5", searchRenderData.getPageNumberList().get(4));

        // Test with list containing special values
        List<String> specialPages = Arrays.asList("...", "10", "11", "12", "...");
        searchRenderData.setPageNumberList(specialPages);

   * resulting text.
   *
   * <p>If the character does not need to be escaped, this method should return {@code null}, rather
   * than an array containing the character representation of the code point. This enables the
   * escaping algorithm to perform more efficiently.
   *
   * <p>If the implementation of this method cannot correctly handle a particular code point then it

import java.util.Map;
import java.util.Map.Entry;
import java.util.concurrent.ConcurrentHashMap;
import java.util.concurrent.atomic.AtomicLong;
import org.jspecify.annotations.Nullable;

/**
 * A map containing {@code long} values that can be atomically updated. While writes to a
 * traditional {@code Map} rely on {@code put(K, V)}, the typical mechanism for writing to this map

            def = b.toLowerCase().equals("true");
        }
        return def;
    }

    /**
     * Retrieve an array of <code>InetAddress</code> created from a property
     * value containting a <code>delim</code> separated list of hostnames and/or
     * ipaddresses.
     *
     * @param key the property key to look up
     * @param delim the delimiter used to separate addresses in the property value

TF_CAPI_EXPORT extern void TFE_OpAddAttrs(TFE_Op* op, const TFE_OpAttrs* attrs);

// Serialize `attrs` as a tensorflow::NameAttrList protocol buffer (into `buf`),
// containing the op name and a map of its attributes.
TF_CAPI_EXPORT extern void TFE_OpAttrsSerialize(const TFE_OpAttrs* attrs,
                                                TF_Buffer* buf,

   */
  @SuppressWarnings("unchecked")
  public static <R, C, V> ImmutableTable<R, C, V> of() {
    return (ImmutableTable<R, C, V>) SparseImmutableTable.EMPTY;
  }

  /** Returns an immutable table containing a single cell. */
  public static <R, C, V> ImmutableTable<R, C, V> of(R rowKey, C columnKey, V value) {
    return new SingletonImmutableTable<>(rowKey, columnKey, value);
  }

  /**

<img class="shadow" src="/img/deployment/concepts/image01.png">

---

Maintenant que nous connaissons la différence entre les termes **processus** et **programme**, continuons à parler des déploiements.

## Exécuter au démarrage { #running-on-startup }