* `frozenset`:
    * In requests and responses, treated the same as a `set`:
        * In requests, a list will be read, eliminating duplicates and converting it to a `set`.
        * In responses, the `set` will be converted to a `list`.
        * The generated schema will specify that the `set` values are unique (using JSON Schema's `uniqueItems`).
* `bytes`:
    * Standard Python `bytes`.

Você não conseguiria este tipo de suporte de editor se estivesse trabalhando diretamente com `dict` em vez de modelos Pydantic.

Mas você também não precisa se preocupar com eles, os dicts de entrada são convertidos automaticamente e sua saída é convertida automaticamente para JSON também.

## Corpos de `dict`s arbitrários

Você também pode declarar um corpo como um `dict` com chaves de algum tipo e valores de outro tipo.

import org.opensearch.search.SearchHit;

/**
 * Utility class for search engine operations and content formatting.
 * Provides helper methods for working with XContent builders, scrolling through search results,
 * and converting XContent objects to different output formats.
 */
public final class SearchEngineUtil {

    private static final Logger logger = LogManager.getLogger(SearchEngineUtil.class);

    /**

///

## Dataclasses en `response_model`

También puedes usar `dataclasses` en el parámetro `response_model`:

{* ../../docs_src/dataclasses/tutorial002.py hl[1,7:13,19] *}

El dataclass será automáticamente convertido a un dataclass de Pydantic.

De esta manera, su esquema aparecerá en la interfaz de usuario de la documentación de la API:

<img src="/img/tutorial/dataclasses/image01.png">

    }

    @GwtIncompatible @J2ktIncompatible private static final long serialVersionUID = 1;
  }

  /**
   * Returns a serializable converter object that converts between strings and integers using {@link
   * Integer#decode} and {@link Integer#toString()}. The returned converter throws {@link
   * NumberFormatException} if the input string is invalid.
   *

    In this case, it's a list of `Item` dataclasses.

6. Here we are returning a dictionary that contains `items` which is a list of dataclasses.

    FastAPI is still capable of <abbr title="converting the data to a format that can be transmitted">serializing</abbr> the data to JSON.

7. Here the `response_model` is using a type annotation of a list of `Author` dataclasses.

    @GwtIncompatible @J2ktIncompatible private static final long serialVersionUID = 1;
  }

  /**
   * Returns a serializable converter object that converts between strings and floats using {@link
   * Float#valueOf} and {@link Float#toString()}.
   *
   * @since 16.0
   */
  public static Converter<String, Float> stringConverter() {
    return FloatConverter.INSTANCE;
  }

  /**

    @GwtIncompatible @J2ktIncompatible private static final long serialVersionUID = 1;
  }

  /**
   * Returns a serializable converter object that converts between strings and doubles using {@link
   * Double#valueOf} and {@link Double#toString()}.
   *
   * @since 16.0
   */
  public static Converter<String, Double> stringConverter() {
    return DoubleConverter.INSTANCE;
  }

  /**

            "msg": "value is not a valid integer",
            "type": "type_error.integer"
        }
    ]
}
```

car le paramètre de chemin `item_id` possède comme valeur `"foo"`, qui ne peut pas être convertie en entier (`int`).

La même erreur se produira si vous passez un nombre flottant (`float`) et non un entier, comme ici

    * JSON.
    * Pad parameters.
    * Query parameters.
    * Cookies.
    * Headers.
    * Formulieren.
    * Bestanden.
* <abbr title="ook bekend als: serialisatie, parsing, marshalling">Conversie</abbr> van uitvoergegevens: converstie van Python-data en -types naar netwerkgegevens (zoals JSON):