*   <li>comparing each pair of objects from different equality groups returns false
 *   <li>the hash codes of any two equal objects are equal
 * </ul>
 *
 * <p>When a test fails, the error message labels the objects involved in the failed comparison as
 * follows:
 *
 * <ul>
 *   <li>"{@code [group }<i>i</i>{@code , item }<i>j</i>{@code ]}" refers to the

# Body - Fields { #body-fields }

The same way you can declare additional validation and metadata in *path operation function* parameters with `Query`, `Path` and `Body`, you can declare validation and metadata inside of Pydantic models using Pydantic's `Field`.

## Import `Field` { #import-field }

First, you have to import it:

{* ../../docs_src/body_fields/tutorial001_an_py310.py hl[4] *}


/// warning

If you want to secure your API, there are several better things you can do, for example:

* Make sure you have well defined Pydantic models for your request bodies and responses.
* Configure any required permissions and roles using dependencies.
* Never store plaintext passwords, only password hashes.

## Resources

*   [TensorFlow.org](https://www.tensorflow.org)
*   [TensorFlow Tutorials](https://www.tensorflow.org/tutorials/)
*   [TensorFlow Official Models](https://github.com/tensorflow/models/tree/master/official)
*   [TensorFlow Examples](https://github.com/tensorflow/examples)
*   [TensorFlow Codelabs](https://codelabs.developers.google.com/?cat=TensorFlow)

Primero crearemos la versión más simple de la aplicación con un solo modelo de **SQLModel**.

Más adelante la mejoraremos aumentando la seguridad y versatilidad con **múltiples modelos** a continuación. 🤓

### Crear Modelos { #create-models }

Importa `SQLModel` y crea un modelo de base de datos:

{* ../../docs_src/sql_databases/tutorial001_an_py310.py ln[1:11] hl[7:11] *}

    manager.stopAsync();
    assertThrows(TimeoutException.class, () -> manager.awaitStopped(1, MILLISECONDS));
    manager.awaitStopped(5, SECONDS); // no exception thrown
  }

  /**
   * This covers a case where if the last service to stop failed then the stopped callback would
   * never be called.
   */
  public void testSingleFailedServiceCallsStopped() {
    Service a = new FailStartService();

platforms/core-configuration/kotlin-dsl-provider-plugins/   @gradle/bt-tide
platforms/core-configuration/kotlin-dsl-tooling-builders/   @gradle/bt-tide
platforms/core-configuration/kotlin-dsl-tooling-models/     @gradle/bt-tide

# Core automation platform (Declarative DSL)
platforms/core-configuration/declarative-dsl-api/                   @gradle/bt-declarative-gradle-project

import okio.buffer
import okio.source
import org.junit.jupiter.params.ParameterizedTest
import org.junit.jupiter.params.provider.ArgumentsSource

/** Runs the web platform URL tests against Java URL models.  */
class WebPlatformUrlTest {
  class TestDataParamProvider : SimpleProvider() {
    override fun arguments() = ArrayList<Any>(loadTests())
  }

  /** Test how [HttpUrl] does against the web platform test suite.  */

     * We can't instantiate the class with null, so we can't directly test this method's behavior with null.
     * However, the constructor logic `!isCredentialTypeCorrect()` covers this.
     * If `new PacCredentialType(null)` throws, it implies `isCredentialTypeCorrect()` returned false for null.
     */
    @Test
    void testIsCredentialTypeCorrectWithNullData() {

Cela définit les métadonnées sur la réponse principale d'une *opération de chemin*.

Vous pouvez également déclarer des réponses supplémentaires avec leurs modèles, codes de statut, etc.

Il y a un chapitre entier ici dans la documentation à ce sujet, vous pouvez le lire sur [Réponses supplémentaires dans OpenAPI](additional-responses.md){.internal-link target=_blank}.

## OpenAPI supplémentaire