* possible readings.
 * </p>
 *
 * <p>
 * The class also utilizes ICU4J's {@link com.ibm.icu.text.Transliterator} to convert full-width characters
 * to half-width and to convert any characters to lowercase, ensuring consistency in the output.
 * </p>
 *
 * <p>
 * Example:
 * For the input "キャ", the converter might return a list containing "kya".

 *   <li>{@link Ascii}
 *   <li>{@link CaseFormat}
 *   <li>{@link CharMatcher}
 *   <li>{@link Splitter}
 *   <li>{@link Strings}
 * </ul>
 *
 * <h3>Function types</h3>
 *
 * <ul>
 *   <li>{@link Converter}
 *   <li>{@link Equivalence}
 * </ul>
 *
 * <h3>Other</h3>
 *
 * <ul>
 *   <li>{@link Enums}
 *   <li>{@link MoreObjects}
 *   <li>{@link Preconditions}
 *   <li>{@link StandardSystemProperty}

import com.google.errorprone.annotations.CanIgnoreReturnValue;
import java.nio.ByteBuffer;
import java.nio.ByteOrder;
import org.jspecify.annotations.Nullable;

/**
 * Abstract {@link Hasher} that handles converting primitives to bytes using a scratch {@code
 * ByteBuffer} and streams all bytes to a sink to compute the hash.
 *
 * @author Colin Decker
 */
abstract class AbstractByteHasher extends AbstractHasher {

 * similar to the way Maven configures plugins from the POM, i.e. some configuration like {@code <param>value</param>}
 * is mapped to an equally named property of the bean and converted. The properties of the bean are supposed to either
 * have a public setter or be backed by an equally named field (of any visibility).
 *
 * @since 3.0
 */
public interface BeanConfigurator {

    /**

* Convertir el modelo copiado en algo que pueda almacenarse en tu base de datos (por ejemplo, usando el `jsonable_encoder`).
    * Esto es comparable a usar el método `.model_dump()` del modelo de nuevo, pero asegura (y convierte) los valores a tipos de datos que pueden convertirse a JSON, por ejemplo, `datetime` a `str`.
* Guardar los datos en tu base de datos.

You couldn't get this kind of editor support if you were working directly with `dict` instead of Pydantic models.

But you don't have to worry about them either, incoming dicts are converted automatically and your output is converted automatically to JSON too.

## Bodies of arbitrary `dict`s { #bodies-of-arbitrary-dicts }

You can also declare a body as a `dict` with keys of some type and values of some other type.

 */
@Deprecated
public interface ReportingConverter {

    /**
     * Converts values from model's reporting section into the configuration for Maven Site Plugin 3.x.
     *
     * @param model The model whose reporting section should be converted, must not be <code>null</code>.
     * @param request The model building request that holds further settings, must not be {@code null}.

	// OpRequest is a single request + response.
	// MuxID is returned in response.
	OpRequest

	// OpResponse is a response to a single request.
	// FlagPayloadIsErr is used to signify that the payload is a string error converted to byte slice.
	// When a response is received, the mux is already removed from the remote.
	OpResponse

	// OpDisconnect instructs that remote wants to disconnect
	OpDisconnect

 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND,
 * either express or implied. See the License for the specific language
 * governing permissions and limitations under the License.
 */
package org.codelibs.fess.suggest.converter;

import junit.framework.TestCase;

public class ReadingConverterChainTest extends TestCase {
    public void test_convert() throws Exception {
        /*

                .result());
    }

    /**
     * Creates a ListBody from a DictionaryFile for API responses.
     *
     * @param dictionaryFile the dictionary file to convert
     * @return the converted ListBody object
     */
    protected ListBody createListBody(final DictionaryFile<? extends DictionaryItem> dictionaryFile) {
        final ListBody body = new ListBody();
        body.id = dictionaryFile.getId();