ServerMessageBlock2Request<?> result = testRequest.getNext();

            assertSame(nextRequest, result);
        }

        @Test
        @DisplayName("split should remove next and clear related operations flag")
        void testSplit() {
            TestServerMessageBlock2Request nextRequest = new TestServerMessageBlock2Request(mockConfig);
            nextRequest.addFlags(SMB2_FLAGS_RELATED_OPERATIONS);

Dans le prochain chapitre sur [FastAPI dans des conteneurs - Docker](docker.md), j'expliquerai quelques stratégies que vous pourriez utiliser pour gérer les autres **concepts de déploiement**.

Je vous montrerai comment créer votre propre image à partir de zéro pour exécuter un seul processus Uvicorn. C'est un processus simple et c'est probablement ce que vous voudrez faire lorsque vous utilisez un système distribué de gestion de conteneurs comme **Kubernetes**.

    }

    @Override
    public void close() {
        if (closed) {
            return;
        }

        try {
            secureWipePassword();

            // Clear other sensitive data
            domain = null;
            username = null;
            sessionId = null;

        info.setCapability(capability);

        return info;
    }

    private void encodeSockaddr(byte[] buffer, int offset) {
        // MS-SMB2: SockAddr_Storage field is 128 bytes
        // Clear the entire field first
        for (int i = 0; i < 128; i++) {
            buffer[offset + i] = 0;
        }

        if (ipv6) {
            // IPv6 sockaddr_in6 structure (Windows AF_INET6 = 23)

With just that Python type declaration, **FastAPI** will:

* Read the body of the request as JSON.
* Convert the corresponding types (if needed).
* Validate the data.
    * If the data is invalid, it will return a nice and clear error, indicating exactly where and what was the incorrect data.
* Give you the received data in the parameter `item`.

///

## Importar `BaseModel` de Pydantic { #import-pydantics-basemodel }

Primero, necesitas importar `BaseModel` de `pydantic`:

{* ../../docs_src/body/tutorial001_py310.py hl[2] *}

## Crea tu modelo de datos { #create-your-data-model }

Luego, declaras tu modelo de datos como una clase que hereda de `BaseModel`.

Usa tipos estándar de Python para todos los atributos:

     * @return HTML response with the reset related content list
     */
    @Execute
    @Secured({ ROLE, ROLE + VIEW })
    public HtmlResponse reset(final SearchForm form) {
        relatedContentPager.clear();
        return asHtml(path_AdminRelatedcontent_AdminRelatedcontentJsp).renderWith(data -> {
            searchPaging(data, form);
        });
    }

    /**

            for (final String lang : form.lang) {
                if (StringUtil.isNotBlank(lang) && lang.length() < 1000) {
                    if (Constants.ALL_LANGUAGES.equals(lang)) {
                        langSet.clear();
                        break;
                    }
                    final String normalizeLang = systemHelper.normalizeLang(lang);
                    if (normalizeLang != null) {

        try (PrintWriter fw = new PrintWriter(new FileWriter(reportFile))) {
            writeHeader(fw);
            if (errors.isEmpty()) {
                fw.println("All clear!");
                return;
            }
            for (Map.Entry<File, List<Error>> e : errors.entrySet()) {
                File file = e.getKey();
                List<Error> errorsForFile = e.getValue();

internal fun FileSystem.deleteIfExists(path: Path) {
  try {
    delete(path)
  } catch (fnfe: FileNotFoundException) {
    return
  }
}

/** Tolerant delete, try to clear as many files as possible even after a failure. */
internal fun FileSystem.deleteContents(directory: Path) {
  var exception: IOException? = null
  val files =
    try {
      list(directory)