* @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'}`;

                                                       items="${charMappingItemItems}">
                                                <tr
                                                        data-href="${contextPath}/admin/dict/mapping/details/${f:u(dictId)}/4/${f:u(data.id)}">
                                                    <td>${f:h(data.inputs)}</td>

 * Implementations can specify how long cached data should be retained.
 *
 * @since 4.0.0
 */
@Experimental
public interface CacheMetadata {

    /**
     * Returns the cache retention that should be applied to the associated data.
     *
     * @return The CacheRetention indicating how long data should be retained, or null if
     *         no specific cache retention is defined
     */

                        .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) {

```
rm -rf /tmp/etcd-data.tmp && mkdir -p /tmp/etcd-data.tmp && \
  podman rmi gcr.io/etcd-development/etcd:v3.3.9 || true && \
  podman run \
  -p 2379:2379 \
  -p 2380:2380 \
  --mount type=bind,source=/tmp/etcd-data.tmp,destination=/etcd-data \
  --name etcd-gcr-v3.3.9 \
  gcr.io/etcd-development/etcd:v3.3.9 \
  /usr/local/bin/etcd \
  --name s1 \
  --data-dir /etcd-data \
  --listen-client-urls http://0.0.0.0:2379 \

`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).

    @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")

            searchPaging(data, form);
        });
    }

    /**
     * Sets up search paging data for rendering the scheduled job list.
     *
     * @param data the render data to populate
     * @param form the search form containing current search criteria
     */
    protected void searchPaging(final RenderData data, final SearchForm form) {

    }

    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");