* handling text normalization, content extraction, and similar document hash encoding/decoding.
 * It also manages document processing requests and integrates with the crawler system.
 *
 */
public class DocumentHelper {
    private static final Logger logger = LogManager.getLogger(DocumentHelper.class);

    /** Prefix used for encoded similar document hashes */
    protected static final String SIMILAR_DOC_HASH_PREFIX = "$";

Por ejemplo, para instalar Uvicorn:

<div class="termy">

```console
$ pip install "uvicorn[standard]"

---> 100%
```

</div>

Un proceso similar se aplicaría a cualquier otro programa de servidor ASGI.

/// tip | Consejo

Al añadir `standard`, Uvicorn instalará y usará algunas dependencias adicionales recomendadas.

            This will be used to extract the data and for the generated OpenAPI.
            It is particularly useful when you can't use the name you want because it
            is a Python reserved keyword or similar.
            """
        ),
    ] = None,
    alias_priority: Annotated[
        int | None,
        Doc(
            """
            Priority of the alias. This affects whether an alias generator is used.

* If a PR seems to be spam, meaningless, only to change statistics (to appear as "contributor") or similar, you can simply mark it as `invalid`, and it will be automatically closed.

     * When enabled, users must authenticate before performing searches.
     */
    @Size(max = 10)
    public String loginRequired;

    /**
     * Enable or disable result collapsing for similar documents.
     * When enabled, similar search results are grouped together.
     */
    @Size(max = 10)
    public String resultCollapsed;

    /**
     * Enable or disable display of login link in the search interface.

When reviewing a pull request, it's better not to suggest changes in the same pull request, because it is LLM generated, and it won't be possible to make sure that small individual changes are replicated in other similar sections, or that they are preserved when translating the same content again.

        return data
    ```

    Note that for OAuth2 the scope `items:read` is a single scope in an opaque string.
    You could have custom internal logic to separate it by colon characters (`:`) or
    similar, and get the two parts `items` and `read`. Many applications do that to
    group and organize permissions, you could do it as well in your application, just
    know that it is application specific, it's not part of the specification.

  // final fields.
  //
  // For simplicity the rest of this description will discuss Futures.catching since it is the
  // simplest instance, though very similar descriptions apply to many other classes in this file.
  //
  // In the constructor of AbstractCatchingFuture, the delegate future is assigned to a field

#       bash, then to run this script, type that shell name before the whole
#       command line, like:
#
#           ksh Gradle
#
#       Busybox and similar reduced shells will NOT work, because this script
#       requires all of these POSIX shell features:
#         * functions;
#         * expansions «$var», «${var}», «${var:-default}», «${var+SET}»,

            result2 = queryCommand.buildDefaultQueryBuilder(fessConfig, context2,
                    (field, boost) -> QueryBuilders.matchQuery(field, "test").boost(boost));
        }

        // Both should produce similar results
        assertNotNull(result1);
        assertNotNull(result2);
    }

    /**
     * Test query command implementation for testing purposes.
     */