{* ../../docs_src/stream_data/tutorial002_py310.py ln[1:27] hl[3,12:13,25] *}

/// note | Détails techniques

Les deux autres variables, `image_base64` et `binary_image`, correspondent à une image encodée en Base64, puis convertie en bytes, afin de la passer à `io.BytesIO`.

C'est uniquement pour que tout tienne dans le même fichier pour cet exemple, et que vous puissiez le copier et l'exécuter tel quel. 🥚

///

                .result());
    }

    /**
     * Creates a ListBody from a DictionaryFile for API responses.
     *
     * @param dictionaryFile the dictionary file to convert
     * @return the converted ListBody object
     */
    protected ListBody createListBody(final DictionaryFile<? extends DictionaryItem> dictionaryFile) {
        final ListBody body = new ListBody();
        body.id = dictionaryFile.getId();

/// danger

This is an "advanced" feature.

If you are just starting with **FastAPI** you might want to skip this section.

///

## Use cases { #use-cases }

Some use cases include:

* Converting non-JSON request bodies to JSON (e.g. [`msgpack`](https://msgpack.org/index.html)).
* Decompressing gzip-compressed request bodies.
* Automatically logging all request bodies.

/// info | Informação

Observe que o `TestClient` recebe dados que podem ser convertidos para JSON, não para modelos Pydantic.

Vous pouvez aussi utiliser `dataclasses` dans le paramètre `response_model` :

{* ../../docs_src/dataclasses_/tutorial002_py310.py hl[1,6:12,18] *}

La dataclass sera automatiquement convertie en dataclass Pydantic.

Ainsi, son schéma apparaîtra dans l'interface utilisateur de la documentation de l'API :

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

                "Unknown q: " + query.getClass() + " => " + query);
    }

    /**
     * Converts a Lucene BooleanQuery to an OpenSearch BoolQueryBuilder.
     * @param context The query context.
     * @param booleanQuery The boolean query to convert.
     * @param boost The boost factor to apply.
     * @return The converted BoolQueryBuilder.
     */

	}

	tx2.Commit()
	// Attempt to convert the connection pool of tx to the *gorm.PreparedStmtDB type.
	// If the conversion is successful, ok will be true and conn will be the converted object;
	// otherwise, ok will be false and conn will be nil.
	conn, ok := tx.ConnPool.(*gorm.PreparedStmtDB)
	// Get the number of statement keys stored in the PreparedStmtDB.
	lens := len(conn.Stmts.Keys())

* `frozenset`:
    * En requests y responses, tratado igual que un `set`:
        * En requests, se leerá una list, eliminando duplicados y convirtiéndola en un `set`.
        * En responses, el `set` se convertirá en una `list`.
        * El esquema generado especificará que los valores del `set` son únicos (usando `uniqueItems` de JSON Schema).
* `bytes`:
    * `bytes` estándar de Python.

  private static final char CASE_MASK = 0x20;

  /**
   * Returns a copy of the input string in which all {@linkplain #isUpperCase(char) uppercase ASCII
   * characters} have been converted to lowercase. All other characters are copied without
   * modification.
   */
  public static String toLowerCase(String string) {
    int length = string.length();
    for (int i = 0; i < length; i++) {

Em seguida, você pode retornar qualquer objeto que precise, como normalmente faria (um `dict`, um modelo de banco de dados, etc).

E se você declarou um `response_model`, ele ainda será usado para filtrar e converter o objeto que você retornou.