import jakarta.servlet.http.HttpServletResponse;

/**
 * Servlet filter for handling character encoding conversion and URL redirection.
 * This filter processes requests with specific encoding requirements and converts
 * character encodings according to configured mapping rules.
 *
 * <p>The filter intercepts requests matching configured path patterns and
 * redirects them with proper character encoding applied to parameters.</p>
 */

     * @param {number} time - Timeout, in ms.
     */
    _wait(time) {
        return new Promise(resolve => setTimeout(resolve, time));
    }

    /**
     * Converts line data objects into line elements.
     *
     * @param {Object[]} lineData - Dynamically loaded lines.
     * @param {Object} line - Line data object.
     * @returns {Element[]} - Array of line elements.
     */

    void testTimeReadWriteZero() {
        byte[] buffer = new byte[8];
        ServerMessageBlock.writeTime(0, buffer, 0);
        // When zero is written, it stays as zero in buffer
        // When read back, it converts to negative Unix time due to Windows FileTime conversion
        long expectedTime = -SmbConstants.MILLISECONDS_BETWEEN_1970_AND_1601;
        assertEquals(expectedTime, ServerMessageBlock.readTime(buffer, 0));
    }

And the part after the `yield` will be executed **after** the application has finished.

### Async Context Manager { #async-context-manager }

If you check, the function is decorated with an `@asynccontextmanager`.

That converts the function into something called an "**async context manager**".

{* ../../docs_src/events/tutorial003_py39.py hl[1,13] *}

### Gerenciador de contexto assíncrono { #async-context-manager }

Se você verificar, a função está decorada com um `@asynccontextmanager`.

Isso converte a função em algo chamado "**gerenciador de contexto assíncrono**".

{* ../../docs_src/events/tutorial003_py39.py hl[1,13] *}

{* ../../docs_src/path_operation_advanced_configuration/tutorial006.py hl[20:37,39:40] *}

Dans cet exemple, nous n'avons déclaré aucun modèle Pydantic. En fait, le corps de la requête n'est même pas <abbr title="converti d'un format simple, comme des octets, en objets Python">parsé</abbr> en tant que JSON, il est lu directement en tant que `bytes`, et la fonction `magic_data_reader()` serait chargé de l'analyser d'une manière ou d'une autre.

import org.codelibs.fess.exception.QueryParseException;
import org.lastaflute.web.util.LaRequestUtil;

import jakarta.annotation.PostConstruct;

/**
 * A query parser that processes search queries and converts them to Lucene Query objects.
 * This class provides a flexible architecture using a chain of filters to process and transform
 * queries before they are parsed by the underlying Lucene query parser.
 *

Mas o Pydantic tem conversão automática de dados.

Isso significa que, embora os clientes da API só possam enviar strings como chaves, desde que essas strings contenham inteiros puros, o Pydantic irá convertê-los e validá-los.

E o `dict` que você recebe como `weights` terá, na verdade, chaves `int` e valores` float`.

///

## Recapitulação { #recap }

     * @throws IOException if an I/O error occurs
     */
    public int readUnsignedShort() throws IOException {
        return readShort() & 0xffff;
    }

    /**
     * Reads a Windows FILETIME value and converts it to a Date.
     * @return the Date object, or null if the time represents infinity
     * @throws IOException if an I/O error occurs
     */
    public Date readFiletime() throws IOException {

                        e);
            }
        }
        return targetList;
    }

    /**
     * Extracts a field value from OpenSearch results and converts it to the specified type.
     *
     * @param <T> The target type.
     * @param field The field value from OpenSearch.
     * @param clazz The target class.
     * @return The converted field value.
     */