- 🤖 Un client frontend généré automatiquement.
  - 🧪 [Playwright](https://playwright.dev) pour les tests de bout en bout.
  - 🦇 Prise en charge du mode sombre.
- 🐋 [Docker Compose](https://www.docker.com) pour le développement et la production.
- 🔒 Hachage sécurisé des mots de passe par défaut.
- 🔑 Authentification JWT (JSON Web Token).
- 📫 Récupération de mot de passe par e-mail.

    }

    @ParameterizedTest
    @CsvSource({ "0, 0", // all zeros
            "-1, 2147483647", // negative fid, max positive security
            "12345, 999" // arbitrary numbers
    })
    void toString_includesCorrectHexValues(int fid, int securityInformation) {
        NtTransQuerySecurityDesc cmd = new NtTransQuerySecurityDesc(fid, securityInformation);
        String result = cmd.toString();

## Modelos aninhados { #nested-models }

Cada atributo de um modelo Pydantic tem um tipo.

Mas esse tipo pode ser outro modelo Pydantic.

Portanto, você pode declarar "objects" JSON profundamente aninhados com nomes, tipos e validações de atributos específicos.

Tudo isso, aninhado arbitrariamente.

### Defina um sub-modelo { #define-a-submodel }

Por exemplo, nós podemos definir um modelo `Image`:

source "${BASH_SOURCE%/*}/utilities/setup.sh"

# Record GPU count and CUDA version status
if [[ "$TFCI_NVIDIA_SMI_ENABLE" == 1 ]]; then
  tfrun nvidia-smi
fi

# Update the version numbers for Nightly only
if [[ "$TFCI_NIGHTLY_UPDATE_VERSION_ENABLE" == 1 ]]; then
  python_bin=python3
  # TODO(belitskiy): Add a `python3` alias/symlink to Windows Docker image.
  if [[ $(uname -s) = MSYS_NT* ]]; then

    while (size > maxSize) {
      if (!removeOldestEntry()) return
    }
    mostRecentTrimFailed = false
  }

  /** Returns true if an entry was removed. This will return false if all entries are zombies. */
  private fun removeOldestEntry(): Boolean {
    for (toEvict in lruEntries.values) {
      if (!toEvict.zombie) {
        removeEntry(toEvict)
        return true
      }
    }
    return false

      ArrayListMultimap<K, V> create() {
    return new ArrayListMultimap<>();
  }

  /**
   * Constructs an empty {@code ArrayListMultimap} with enough capacity to hold the specified
   * numbers of keys and values without resizing.
   *
   * <p>You may also consider the equivalent {@code
   * MultimapBuilder.hashKeys(expectedKeys).arrayListValues(expectedValuesPerKey).build()}, which

     * Whether a previous page exists.
     */
    private boolean existPrePage;

    /**
     * Whether a next page exists.
     */
    private boolean existNextPage;

    /**
     * The list of page numbers for navigation.
     */
    private List<Integer> pageNumberList;

    /**
     * The number of records per page.
     */
    private int pageSize;

    /**
     * The current page number.
     */

    /** Indicates if a previous page exists. */
    private boolean existPrePage;

    /** Indicates if a next page exists. */
    private boolean existNextPage;

    /** The list of page numbers. */
    private List<Integer> pageNumberList;

    /** The number of records per page. */
    private int pageSize;

    /** The current page number. */
    private int currentPageNumber;

    /** The ID. */

La <dfn title="spécification">spécification</dfn> exige que les champs soient exactement nommés `username` et `password`, et qu'ils soient envoyés en tant que champs de formulaire, pas en JSON.

```console
$ pip install httpx
```

///

Importa `TestClient`.

Crea un `TestClient` pasándole tu aplicación de **FastAPI**.

Crea funciones con un nombre que comience con `test_` (esta es la convención estándar de `pytest`).

Usa el objeto `TestClient` de la misma manera que con `httpx`.