import org.mockito.Mock;
import org.mockito.junit.jupiter.MockitoExtension;

import jcifs.Configuration;

/**
 * Tests for {@link SmbComSetInformationResponse}.
 *
 * Tests focus on the wire format methods which all return 0,
 * and the toString method implementation.
 */
@ExtendWith(MockitoExtension.class)
@DisplayName("SmbComSetInformationResponse tests")
public class SmbComSetInformationResponseTest {

    }

    protected void dumpResponse(EncryptContext context, String indent, SecDispatcher.ValidationResponse response) {
        context.logger.info(messageBuilderFactory
                .builder()
                .format(
                        response.isValid()
                                ? messageBuilderFactory
                                        .builder()

* `bytes`:
    * `bytes` estándar de Python.
    * En requests y responses se tratará como `str`.
    * El esquema generado especificará que es un `str` con "binary" como "format".
* `Decimal`:
    * `Decimal` estándar de Python.
    * En requests y responses, manejado igual que un `float`.

  } catch (e: GeneralSecurityException) {
    throw IllegalArgumentException("failed to decode certificate", e)
  }
}

/**
 * Returns the certificate encoded in [PEM format][rfc_7468].
 *
 * [rfc_7468]: https://tools.ietf.org/html/rfc7468
 */
fun X509Certificate.certificatePem(): String =
  buildString {
    append("-----BEGIN CERTIFICATE-----\n")

	return nil
}

// parseTargetID - parses string to TargetID.
func parseTargetID(s string) (*TargetID, error) {
	tokens := strings.Split(s, ":")
	if len(tokens) != 2 {
		return nil, fmt.Errorf("invalid TargetID format '%v'", s)
	}

	return &TargetID{
		ID:   tokens[0],
		Name: tokens[1],
	}, nil

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
     */

   *
   * <p>If the dataset contains any non-finite values ({@link Double#POSITIVE_INFINITY}, {@link
   * Double#NEGATIVE_INFINITY}, or {@link Double#NaN}) then the result is {@link
   * LinearTransformation#forNaN()}.
   *
   * @throws IllegalStateException if the dataset is empty or contains a single pair of values, or
   *     both the {@code x} and {@code y} dataset have zero population variance
   */