Para una **API web**, normalmente implica ponerla en una **máquina remota**, con un **programa de servidor** que proporcione buen rendimiento, estabilidad, etc., para que tus **usuarios** puedan **acceder** a la aplicación de manera eficiente y sin interrupciones o problemas.

   * whether nulls were to be permitted or forbidden, but presumably the eventual fix will be to
   * permit them, as it seems more likely that code would depend on that behavior than on the other.
   * Thus, we say the bug is in set(), which fails to support null.
   */
  @J2ktIncompatible
  @GwtIncompatible // reflection
  public static Method getSetNullSupportedMethod() {

  //
  // WARNING: The destructor of this class is marked as protected to disallow
  // clients from directly destroying this object since it may manage its own
  // lifetime through ref counting. Thus clients MUST call Release() in order to
  // destroy an instance of this class.
  virtual void Release() = 0;

  // Creates an operation builder and ties it to this context.

* Reinicios
* Replicación (la cantidad de procesos en ejecución)
* Memoria
* Pasos previos antes de iniciar

Veremos cómo afectan estas **implementaciones**.

Al final, el objetivo principal es poder **servir a tus clientes de API** de una manera que sea **segura**, para **evitar interrupciones**, y usar los **recursos de cómputo** (por ejemplo, servidores remotos/máquinas virtuales) de la manera más eficiente posible. 🚀

 * Collections of strategies of generating the k * log(M) bits required for an element to be mapped
 * to a BloomFilter of M bits and k hash functions. These strategies are part of the serialized form
 * of the Bloom filters that use them, thus they must be preserved as is (no updates allowed, only
 * introduction of new versions).
 *
 * <p>Important: the order of the constants cannot change, and they cannot be deleted - we depend on

   * whether nulls were to be permitted or forbidden, but presumably the eventual fix will be to
   * permit them, as it seems more likely that code would depend on that behavior than on the other.
   * Thus, we say the bug is in add(), which fails to support null.
   */
  @J2ktIncompatible
  @GwtIncompatible // reflection
  public static Method getAddNullSupportedMethod() {

   * whether nulls were to be permitted or forbidden, but presumably the eventual fix will be to
   * permit them, as it seems more likely that code would depend on that behavior than on the other.
   * Thus, we say the bug is in add(), which fails to support null.
   */
  @J2ktIncompatible
  @GwtIncompatible // reflection
  public static Method getAddNullSupportedMethod() {

Confira as dicas de anotação no código acima para ver mais detalhes específicos.

## Saiba Mais { #learn-more }

Você também pode combinar `dataclasses` com outros modelos Pydantic, herdar deles, incluí-los em seus próprios modelos, etc.

Para saber mais, confira a <a href="https://docs.pydantic.dev/latest/concepts/dataclasses/" class="external-link" target="_blank">documentação do Pydantic sobre dataclasses</a>.

## Versão { #version }

Se você quiser proteger sua API, há várias coisas melhores que você pode fazer, por exemplo:

* Certifique-se de ter modelos Pydantic bem definidos para seus corpos de solicitação e respostas.
* Configure quaisquer permissões e funções necessárias usando dependências.
* Nunca armazene senhas em texto simples, apenas hashes de senha.

```

## `APIRouter` { #apirouter }

Digamos que el archivo dedicado solo a manejar usuarios es el submódulo en `/app/routers/users.py`.

Quieres tener las *path operations* relacionadas con tus usuarios separadas del resto del código, para mantenerlo organizado.

Pero todavía es parte de la misma aplicación/web API de **FastAPI** (es parte del mismo "paquete de Python").