* underlying (implementation specific) data structures to be shared.
 *
 * <p>The size of the data structure used by ArrayBasedCharEscaper and ArrayBasedUnicodeEscaper is
 * proportional to the highest valued character that has a replacement. For example a replacement
 * map containing the single character '{@literal \}u1000' will require approximately 16K of memory.

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

    }

    /**
     * Gets the name of the data index for the crawler.
     *
     * @return the data index name
     */
    @Override
    public String getDataIndex() {
        return ComponentUtil.getFessConfig().getIndexDocumentCrawlerIndex() + ".data";
    }

    /**
     * Gets the name of the filter index for the crawler.
     *

 * 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
     */

                                                                name="deleteAllWords"
                                                                data-toggle="modal" data-target="#confirmToAllDelete"
                                                                value="<la:message key="labels.design_delete_button" />">

    void testDecodeWithTypicalValues() throws SMBProtocolDecodingException {
        // Prepare test data
        byte[] buffer = new byte[22];
        int idFileSystem = 0x12345678;
        int sectPerAlloc = 8;
        long alloc = 1000000L;
        long free = 500000L;
        int bytesPerSect = 512;

        // Encode test data
        int offset = 0;
        SMBUtil.writeInt4(idFileSystem, buffer, offset); // idFileSystem (skipped)

    }

    /**
     * Returns additional data for the result.
     * @param responseData The response data.
     * @param document The XML document.
     * @return Additional data as a string.
     */
    protected String getAdditionalData(final ResponseData responseData, final Document document) {
        return "";
    }

    /**
     * Returns the footer for the result data.
     * @return The result data footer.

    }

    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");

`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).