/// note | Nota

Observa que `response_model` es un parámetro del método "decorador" (`get`, `post`, etc). No de tu *path operation function*, como todos los parámetros y el cuerpo.

///

`response_model` recibe el mismo tipo que declararías para un campo de modelo Pydantic, por lo que puede ser un modelo de Pydantic, pero también puede ser, por ejemplo, un `list` de modelos de Pydantic, como `List[Item]`.

   * <p>On the other hand, if for example we are resolving {@code List<A extends B>} to {@code
   * List<A extends String>}, we need to compare that {@code <A extends B>} is unequal to {@code <A
   * extends String>} in order to decide to use the transformed type instead of the original type.
   */
  static final class TypeVariableKey {
    private final TypeVariable<?> var;

    TypeVariableKey(TypeVariable<?> var) {

        percentIndex = i;
        break;
      } else if (Character.digit(c, 16) == -1) {
        return null; // Everything else must be a decimal or hex digit.
      }
    }

    // Now decide which address family to parse.
    if (hasColon) {
      if (hasDot) {
        ipString = convertDottedQuadToHex(ipString);
        if (ipString == null) {
          return null;
        }
      }

Now let's **refactor** this app a bit to increase **security** and **versatility**.

If you check the previous app, in the UI you can see that, up to now, it lets the client decide the `id` of the `Hero` to create. 😱

We shouldn't let that happen, they could overwrite an `id` we already have assigned in the DB. Deciding the `id` should be done by the **backend** or the **database**, **not by the client**.

      }
      drainQueue();
      return created;
    }

    // N.B. Draining the queue is only necessary to ensure that we don't accumulate empty references
    // in the array. We could skip this if we decide we don't care about holding on to Reference
    // objects indefinitely.
    private void drainQueue() {
      Reference<? extends L> ref;
      while ((ref = queue.poll()) != null) {

I'll tell you a bit more about these **concepts** here, and that would hopefully give you the **intuition** you would need to decide how to deploy your API in very different environments, possibly even in **future** ones that don't exist yet.

By considering these concepts, you will be able to **evaluate and design** the best way to deploy **your own APIs**.

Então, quando é sua vez, você faz trabalho realmente "produtivo", você processa o menu, decide o que quer, pega a escolha de seu _crush_, paga, verifica se entregou o cartão ou a cédula correta, verifica se foi cobrado corretamente, verifica se seu pedido está correto etc.

 * value, the edit will fail silently. Callers should handle other problems by catching
 * `IOException` and responding appropriately.
 *
 * @constructor Create a cache which will reside in [directory]. This cache is lazily initialized on
 *     first access and will be created if it does not exist.
 * @param directory a writable directory.
 * @param valueCount the number of values per cache entry. Must be positive.

    }
    assertNull(map.get(unmappedKey));
  }

  public void testGetNull() {
    Map<K, V> map = makeEitherMap();
    if (allowsNullKeys) {
      if (allowsNullValues) {
        // TODO: decide what to test here.
      } else {
        assertEquals(map.containsKey(null), map.get(null) != null);
      }
    } else {
      try {
        V unused = map.get(null);

Verás el response JSON como:

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

Ya creaste una API que:

* Recibe requests HTTP en los _paths_ `/` y `/items/{item_id}`.
* Ambos _paths_ toman _operaciones_ `GET` (también conocidas como métodos HTTP).
* El _path_ `/items/{item_id}` tiene un _parámetro de path_ `item_id` que debe ser un `int`.