# Note: We intentionally don't add the flags we'd need to make Flags and Enums
# work. That's because the Proguard configuration required to make them work on
# optimized code would preclude lots of optimization, like converting enums
# into ints.

# Throwables uses internal APIs for lazy stack trace resolution
-dontnote sun.misc.SharedSecrets
-keep class sun.misc.SharedSecrets {
  *** getJavaLangAccess(...);
}
-dontnote sun.misc.JavaLangAccess

    }

    /**
     * Registers a value in the render data with the specified key.
     * If the value is an Entity object, it will be converted to a Map using BeanUtil.
     * If the value is a Collection containing Entity objects, each Entity will be converted to a Map.
     * For other types of values, they are registered directly.
     *
     * @param data the RenderData object to register the value in

Entonces, un objeto `datetime` tendría que ser convertido a un `str` que contenga los datos en formato <a href="https://en.wikipedia.org/wiki/ISO_8601" class="external-link" target="_blank">ISO</a>.

De la misma manera, esta base de datos no recibiría un modelo de Pydantic (un objeto con atributos), solo un `dict`.

Puedes usar `jsonable_encoder` para eso.

 * 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".

 * either express or implied. See the License for the specific language
 * governing permissions and limitations under the License.
 */
package org.codelibs.fess.suggest.request.suggest;

import org.codelibs.fess.suggest.converter.ReadingConverter;
import org.codelibs.fess.suggest.normalizer.Normalizer;
import org.codelibs.fess.suggest.request.RequestBuilder;
import org.opensearch.transport.client.Client;

/**

     */
    public void setSuggestDetail(final boolean suggestDetail) {
        this.suggestDetail = suggestDetail;
    }

    /**
     * Sets the reading converter.
     * @param readingConverter The reading converter.
     */
    public void setReadingConverter(final ReadingConverter readingConverter) {
        this.readingConverter = readingConverter;
    }

    /**

    this.min = min;
    this.max = max;
  }

  /**
   * Returns statistics over a dataset containing the given values.
   *
   * @param values a series of values, which will be converted to {@code double} values (this may
   *     cause loss of precision)
   */
  public static Stats of(Iterable<? extends Number> values) {
    StatsAccumulator accumulator = new StatsAccumulator();

Entonces podemos declarar `tags` como un conjunto de strings:

{* ../../docs_src/body_nested_models/tutorial003_py310.py hl[12] *}

Con esto, incluso si recibes un request con datos duplicados, se convertirá en un conjunto de elementos únicos.

Y siempre que emitas esos datos, incluso si la fuente tenía duplicados, se emitirá como un conjunto de elementos únicos.

Y también se anotará/documentará en consecuencia.

    /**
     * Do not instantiate.
     */
    protected NumberConversionUtil() {
    }

    /**
     * Converts to the appropriate {@link Number}.
     *
     * @param type
     *            Target type
     * @param o
     *            Source object
     * @return {@link Number} converted to {@literal type}
     */
    public static Object convertNumber(final Class<?> type, final Object o) {

     */
    public RankFusionSearcher() {
        // Default constructor - name will be initialized lazily
    }

    /**
     * Returns the name of this searcher.
     * The name is derived from the class name by converting it to lowercase
     * and removing the "Searcher" suffix.
     *
     * @return the searcher name
     */
    public String getName() {
        if (name == null) {