* @param {Object[]} lineData - Dynamically loaded line data objects.
     * @param {boolean} options.noInit - Don't initialise the animation.
     */
    constructor(container = '#termynal', options = {}) {
        this.container = (typeof container === 'string') ? document.querySelector(container) : container;
        this.pfx = `data-${options.prefix || 'ty'}`;

                                                            <la:message key="labels.webauth_any"/>
                                                        </c:if> ${f:h(data.hostname)}: <c:if
                                                                test="${data.port==null||data.port==''}">

        // Parse FILE_NOTIFY_INFORMATION structures from response
        byte[] data = response.getOutputBuffer();
        int offset = 0;
        
        while (offset < data.length) {
            int nextEntryOffset = readInt4(data, offset);
            int action = readInt4(data, offset + 4);
            int fileNameLength = readInt4(data, offset + 8);
            
            // Extract filename

    void testHashVariousInputSizes(String input) {
        // Given
        byte[] data = input.getBytes();

        // When
        MessageDigest md4 = Crypto.getMD4();
        MessageDigest md5 = Crypto.getMD5();
        byte[] md4Hash = md4.digest(data);
        byte[] md5Hash = md5.digest(data);

        // Then
        assertNotNull(md4Hash);
        assertNotNull(md5Hash);

`UploadFile` tem os seguintes métodos `async`. Todos eles chamam os métodos de arquivos por baixo dos panos (usando o objeto `SpooledTemporaryFile` interno).

* `write(data)`: escreve dados (`data`) em `str` ou `bytes` no arquivo.
* `read(size)`: Lê um número de bytes/caracteres de acordo com a quantidade `size` (`int`).
* `seek(offset)`: Navega para o byte na posição `offset` (`int`) do arquivo.

Pydantic models have a `.dict()` method that returns a `dict` with the model's data.

So, if we create a Pydantic object `user_in` like:

```Python
user_in = UserIn(username="john", password="secret", email="******@****.***")
```

and then we call:

```Python
user_dict = user_in.dict()
```

we now have a `dict` with the data in the variable `user_dict` (it's a `dict` instead of a Pydantic model object).

    }

    public void test_transform_text() throws Exception {
        final byte[] data = new String("xyz").getBytes();
        final ResponseData responseData = new ResponseData();
        responseData.setUrl("file:/test.txt");
        responseData.setCharSet(Constants.UTF_8);
        responseData.setResponseBody(data);
        responseData.setMimeType("text/plain");

                                            <c:forEach var="data" varStatus="s"
                                                       items="${scheduledJobItems}">
                                                <tr
                                                        data-href="${contextPath}/admin/scheduler/details/4/${f:u(data.id)}">
                                                    <td>${f:h(data.name)}</td>

    @Mock
    private Configuration mockConfig;

    private TransCallNamedPipe transCallNamedPipe;
    private static final String TEST_PIPE_NAME = "\\\\PIPE\\\\testpipe";
    private static final byte[] TEST_DATA = "Test pipe data".getBytes();

    @BeforeEach
    void setUp() {
        MockitoAnnotations.openMocks(this);
    }

    @Test
    @DisplayName("Test constructor initializes fields correctly")

                        .status(ApiResult.Status.OK)
                        .result());
    }

    /**
     * Retrieves a specific data config setting by ID.
     *
     * @param id the ID of the data config to retrieve
     * @return JSON response containing the data config setting
     */
    // GET /api/admin/dataconfig/setting/{id}
    @Execute
    public JsonResponse<ApiResult> get$setting(final String id) {