* @param reference any array of the desired type
   * @param length the length of the new array
   */
  /*
   * The new array contains nulls, even if the old array did not. If we wanted to be accurate, we
   * would declare a return type of `@Nullable T[]`. However, we've decided not to think too hard
   * about arrays for now, as they're a mess. (We previously discussed this in the review of
   * ObjectArrays, which is the main caller of this method.)

In this case, the list would have to include `http://localhost:8080` for the `:8080`-frontend to work correctly.

## Wildcards { #wildcards }

It's also possible to declare the list as `"*"` (a "wildcard") to say that all are allowed.

   * be upcast back to ImmutableMapEntry[] (or Object[], etc.), or allowed to escape the class.
   *
   * <p>The returned array has all its elements set to their initial null values. However, we don't
   * declare it as {@code @Nullable ImmutableMapEntry[]} because our checker doesn't require newly
   * created arrays to have a {@code @Nullable} element type even when they're created directly with

FROM $BASE_IMAGE AS devel
# See https://docs.docker.com/reference/dockerfile/#understand-how-arg-and-from-interact
# on why we cannot reference BASE_IMAGE again unless we declare it again.
################################################################################

# Install devtoolset build dependencies
COPY setup.sources.sh /setup.sources.sh
COPY setup.packages.sh /setup.packages.sh

///

## Declarar metadatos { #declare-metadata }

Puedes declarar todos los mismos parámetros que para `Query`.

Por ejemplo, para declarar un valor de metadato `title` para el parámetro de path `item_id` puedes escribir:

{* ../../docs_src/path_params_numeric_validations/tutorial001_an_py310.py hl[10] *}

   * @param reference any array of the desired type
   * @param length the length of the new array
   */
  /*
   * The new array contains nulls, even if the old array did not. If we wanted to be accurate, we
   * would declare a return type of `@Nullable T[]`. However, we've decided not to think too hard
   * about arrays for now, as they're a mess. (We previously discussed this in the review of
   * ObjectArrays, which is the main caller of this method.)

///

/// tip | Dica

Para declarar corpos de arquivos, você precisa usar `File`, caso contrário, os parâmetros seriam interpretados como parâmetros de consulta ou parâmetros de corpo (JSON).

///

Os arquivos serão enviados como "dados de formulário".

# Using Dataclasses { #using-dataclasses }

FastAPI is built on top of **Pydantic**, and I have been showing you how to use Pydantic models to declare requests and responses.

But FastAPI also supports using <a href="https://docs.python.org/3/library/dataclasses.html" class="external-link" target="_blank">`dataclasses`</a> the same way:

{* ../../docs_src/dataclasses_/tutorial001_py310.py hl[1,6:11,18:19] *}

///

## Déclarer des métadonnées

Vous pouvez déclarer les mêmes paramètres que pour `Query`.

Par exemple, pour déclarer une valeur de métadonnée `title` pour le paramètre de chemin `item_id`, vous pouvez écrire :

Убедитесь, что вы [обновили версию FastAPI](../deployment/versions.md#upgrading-the-fastapi-versions){.internal-link target=_blank} как минимум до 0.95.1 перед тем, как использовать `Annotated`.

///

## Определите метаданные { #declare-metadata }

Вы можете указать все те же параметры, что и для `Query`.

Например, чтобы указать значение метаданных `title` для path-параметра `item_id`, вы можете написать: