Essa resposta requer a instalação do pacote `ujson`, com o comando `pip install ujson`, por exemplo.

///

/// warning | Atenção

`ujson` é menos cauteloso que a implementação nativa do Python na forma que os casos especiais são tratados

///

{* ../../docs_src/custom_response/tutorial001_py39.py hl[2,7] *}

/// tip | Dica

É possível que `ORJSONResponse` seja uma alternativa mais rápida.

///

{* ../../docs_src/path_operation_advanced_configuration/tutorial006.py hl[20:37,39:40] *}

Dans cet exemple, nous n'avons déclaré aucun modèle Pydantic. En fait, le corps de la requête n'est même pas <abbr title="converti d'un format simple, comme des octets, en objets Python">parsé</abbr> en tant que JSON, il est lu directement en tant que `bytes`, et la fonction `magic_data_reader()` serait chargé de l'analyser d'une manière ou d'une autre.

                            "password": {
                                "title": "Password",
                                "type": "string",
                                "format": "password",
                            },
                            "scope": {
                                "title": "Scope",
                                "type": "string",

            log.error(sb.toString());
        }
    }

    /**
     * Generate a unique resource ID
     */
    private String generateResourceId(AutoCloseable resource) {
        return String.format("%s-%d-%d", resource.getClass().getSimpleName(), System.identityHashCode(resource),
                resourceIdCounter.incrementAndGet());
    }

    /**
     * Start the cleanup task
     */

            // Act
            String result = uuid.toString();

            // Assert
            assertEquals("00000000-0000-0000-0000-000000000000", result, "toString() should correctly format zero UUID");
        }

        @Test
        @DisplayName("toString() should handle maximum values correctly")
        void testToStringMaxValues() {
            // Arrange

    public Ansi newline() {
        flushAttributes();
        builder.append(System.lineSeparator());
        return this;
    }

    public Ansi format(String pattern, Object... args) {
        flushAttributes();
        builder.append(String.format(pattern, args));
        return this;
    }

    /**
     * Applies another function to this Ansi instance.
     *
     * @param fun the function to apply

///

### Format the code

There is a script that you can run that will format and clean all your code:

<div class="termy">

```console
$ bash scripts/format.sh
```

</div>

It will also auto-sort all your imports.

## Tests

     *
     * @return a byte array containing the data.
     */
    byte[] getData();

    /**
     * Retrieves the data as a String.
     *
     * @return the data in String format.
     */
    String getDataAsString();

    /**
     * Sets the data for this AccessResultData instance.
     *
     * @param data the byte array containing the data to be set
     */

      when (codePoint) {
        in 0..0x20,
        '"'.code,
        '$'.code,
        '\\'.code,
        '·'.code,
        127,
        -> append(String.format("\\u%04x", codePoint))

        else -> appendCodePoint(codePoint)
      }
    }

/**
 * Tests for the DfsReferral class.
 * This class tests the functionality of the DfsReferral class,
 * ensuring that objects are constructed correctly, appended properly,
 * and that the toString method returns the expected format.
 */
class DfsReferralTest {

    /**
     * Tests the default constructor of the DfsReferral class.
     * It verifies that a new DfsReferral object is initialized with its 'next'
     * property pointing to itself.