put(convertKey(entry.getKey()), entry.getValue());
        }
    }

    @Override
    public final V remove(final Object key) {
        return super.remove(convertKey(key));
    }

    @Override
    public boolean containsKey(final Object key) {
        return super.containsKey(convertKey(key));
    }

    private static String convertKey(final Object key) {

 *   <li>Convert multiple instances "forward" using {@code converter.convertAll(as)}.
 *   <li>Convert in the "backward" direction using {@code converter.reverse().convert(b)} or {@code
 *       converter.reverse().convertAll(bs)}.
 *   <li>Use {@code converter} or {@code converter.reverse()} anywhere a {@link
 *       java.util.function.Function} is accepted (for example {@link java.util.stream.Stream#map

 *   <li>Convert multiple instances "forward" using {@code converter.convertAll(as)}.
 *   <li>Convert in the "backward" direction using {@code converter.reverse().convert(b)} or {@code
 *       converter.reverse().convertAll(bs)}.
 *   <li>Use {@code converter} or {@code converter.reverse()} anywhere a {@link
 *       java.util.function.Function} is accepted (for example {@link java.util.stream.Stream#map

        return 10;
    }

    /**
     * Initializes the converter.
     *
     * @throws IOException if an I/O error occurs during initialization.
     */
    void init() throws IOException;

    /**
     * Converts the given text into a list of readings based on the specified field and languages.
     *
     * @param text the text to be converted.
     * @param field the field to be used for conversion.

Por exemplo, você não pode colocar um modelo do Pydantic em uma `JSONResponse` sem antes convertê-lo em um `dict` com todos os tipos de dados (como `datetime`, `UUID`, etc) convertidos para tipos compatíveis com JSON.

Para esses casos, você pode usar o `jsonable_encoder` para converter seus dados antes de repassá-los para a resposta:

{* ../../docs_src/response_directly/tutorial001_py310.py hl[5:6,20:21] *}

  public static short fromBytes(byte b1, byte b2) {
    return (short) ((b1 << 8) | (b2 & 0xFF));
  }

  private static final class ShortConverter extends Converter<String, Short>
      implements Serializable {
    static final Converter<String, Short> INSTANCE = new ShortConverter();

    @Override
    protected Short doForward(String value) {
      return Short.decode(value);
    }

    @Override

import java.util.List;
import java.util.Map;

import org.codelibs.core.beans.Converter;
import org.codelibs.core.beans.converter.DateConverter;
import org.codelibs.core.beans.converter.NumberConverter;
import org.codelibs.core.beans.converter.SqlDateConverter;
import org.codelibs.core.beans.converter.TimeConverter;
import org.codelibs.core.beans.converter.TimestampConverter;
import org.codelibs.core.convert.DateConversionUtil;

    return b1 << 24 | (b2 & 0xFF) << 16 | (b3 & 0xFF) << 8 | (b4 & 0xFF);
  }

  private static final class IntConverter extends Converter<String, Integer>
      implements Serializable {
    static final Converter<String, Integer> INSTANCE = new IntConverter();

    @Override
    protected Integer doForward(String value) {
      return Integer.decode(value);
    }

* Converter o modelo copiado em algo que possa ser armazenado no seu BD (por exemplo, usando o `jsonable_encoder`).
    * Isso é comparável a usar o método `.model_dump()` do modelo novamente, mas garante (e converte) os valores para tipos de dados que possam ser convertidos em JSON, por exemplo, `datetime` para `str`.
* Salvar os dados no seu BD.

        };
        request.setReadingConverter(converter);

        QueryBuilder result = request.buildQuery("test", Collections.emptyList());
        assertNotNull(result);

        String queryString = result.toString();
        // Should have both readings
        assertTrue("Should contain original text", queryString.contains("test"));
        assertTrue("Should contain converted reading", queryString.contains("test_reading"));
    }