It would probably all start by you **acquiring** some **domain name**. Then, you would configure it in a DNS server (possibly your same cloud provider).

You would probably get a cloud server (a virtual machine) or something similar, and it would have a <abbr title="That doesn't change">fixed</abbr> **public IP address**.

In the DNS server(s) you would configure a record (an "`A record`") to point **your domain** to the public **IP address of your server**.

* O item que o cliente está tentando acessar não existe.
* etc.

Nesses casos, você normalmente retornaria um **HTTP status code** próximo ao status code na faixa do status code **400** (do 400 ao 499).

Isso é bastante similar ao caso do HTTP status code 200 (do 200 ao 299). Esses "200" status codes significam que, de algum modo, houve sucesso na requisição.

Os status codes na faixa dos 400 significam que houve um erro por parte do cliente.

/// check

Notice that you don't have to create a special class and pass it somewhere to **FastAPI** to "register" it or anything similar.

You just pass it to `Depends` and **FastAPI** knows how to do the rest.

///

## Share `Annotated` dependencies { #share-annotated-dependencies }

* El ítem al que el cliente intentaba acceder no existe.
* etc.

En estos casos, normalmente devolverías un **código de estado HTTP** en el rango de **400** (de 400 a 499).

Esto es similar a los códigos de estado HTTP 200 (de 200 a 299). Esos códigos de estado "200" significan que de alguna manera hubo un "éxito" en el request.

Los códigos de estado en el rango de 400 significan que hubo un error por parte del cliente.

De lo contrario, el path para `/users/{user_id}` también coincidiría para `/users/me`, "pensando" que está recibiendo un parámetro `user_id` con un valor de `"me"`.

De manera similar, no puedes redefinir una path operation:

{* ../../docs_src/path_params/tutorial003b_py39.py hl[6,11] *}

La primera siempre será utilizada ya que el path coincide primero.

///

### Crear el objeto `Settings` { #create-the-settings-object }

Importa `BaseSettings` de Pydantic y crea una sub-clase, muy similar a un modelo de Pydantic.

De la misma forma que con los modelos de Pydantic, declaras atributos de clase con anotaciones de tipos, y posiblemente, valores por defecto.

// using a PutObject API. PutObjReader encrypts json encoded tier configurations
// if KMS is enabled, otherwise simply yields the json encoded bytes as is.
// Similarly, ObjectOptions value depends on KMS' status.
func (config *TierConfigMgr) configReader(ctx context.Context) (*PutObjReader, *ObjectOptions, error) {
	b, err := config.Bytes()
	if err != nil {
		return nil, nil, err
	}

   * #resolveType resolve} {@code ParameterizedType List<T>} to {@code List<String>}, and resolve
   * {@code Map<T, Something>} to {@code Map<String, Something>} etc. Similarly, {@code formal} and
   * {@code actual} can be {@code Map<K, V>} and {@code Map<String, Integer>} respectively, or they
   * can be {@code E[]} and {@code String[]} respectively, or even any arbitrary combination
   * thereof.

 * Attempts to {@code put} an element into a full queue will result in the operation blocking;
 * attempts to {@code take} an element from an empty queue will similarly block.
 *
 * <p>This class supports an optional fairness policy for ordering waiting producer and consumer
 * threads. By default, this ordering is not guaranteed. However, a queue constructed with fairness

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